title: Aged Bleo GFP+, CD45-, CD31-, EpCAM- fibroblasts 3

status: Public on Jan 01 2022

city: Rochester

first: Mrunal

middle: Kishor

last: Dehankar

state: MN

address: 200 First St. SW

department: Computational genomics

institute: Mayo Clinic

data_processing:
Base calling was performed with the Illumina bcl2fastq.
QC was performed on the FASTQ files using RSeQC software (http://rseqc.sourceforge.net/).
The paired-end reads were aligned by STAR-2.5.2b aligner.
Gene counts were generated using Subread featureCounts (http://subread.sourceforge.net/).
Genome_build: mm10 (GRCm38)
Supplementary_files_format_and_content: merged_gene_count_fpkm.tsv: Tab-delimited text file includes raw counts and FPKM values for each gene per sample.

source_name: Primary lung fibroblasts

growth_protocol: 30 days post-saline or bleomycin, lungs from aged sham (n=4), aged bleo (n=5) were digested into single sell suspension and flow sorted for GFP+, CD45-, CD31-, and Epcam- cells. Cells were sorted directly into lysis buffer and used for RNA isolation and RNA sequencing.

extract_protocol: RNA quality was determined using the Fragment Analyzer from AATI (AATI, Ankeny, IA). RNA samples that have RQN values ≥6 were approved for library prep and sequencing. RNA libraries were prepared using 200 ng of good quality total RNA according to the manufacturer’s instructions for the TruSeq RNA Sample Prep Kit v2 (Illumina, San Diego, CA), employing poly-A mRNA enrichment using oligo dT magnetic beads. The final adapter-modified cDNA fragments were enriched by 12 cycles of PCR using Illumina TruSeq PCR primers. The concentration and size distribution of the completed libraries were determined using a Fragment Analyzer (AATI, Ankeny, IA) and Qubit fluorometry (Invitrogen, Carlsbad, CA).  RNA libraries were prepared for sequencing using standard Illumina protocols. Libraries were sequenced following Illumina’s standard protocol.

treatment_protocol: Aged (18 months) Col1a1-GFP mice were given 1 dose of saline or bleomycin intratracheally for 30 days.

tag: age

value: 72 weeks

value: Bleomycin, 30 days

value: GFP+, CD45-, CD31-, EpCAM- lung fibroblasts


title: Aged Bleo GFP+, CD45-, CD31-, EpCAM- fibroblasts 2

type: SRA

country: USA

library_source: transcriptomic

molecule: total RNA

organism: Mus musculus

tag: strain

tag: treatment

tag: cell type


title: Aged Sham GFP+, CD45-, CD31-, EpCAM- fibroblasts 3

value: Sham, 30 days


title: Aged Bleo GFP+, CD45-, CD31-, EpCAM- fibroblasts 5


title: AML 881 PDX run 1

status: Public on Jan 02 2022

city: Houston

first: Ganiraju

last: Manyam

state: TX

address: 1515 Holcombe Blvd

institute: UT MD Anderson Cancer Center

description: CD45+ sAML cells from a mouse PDX

data_processing:
Sample preparation and sequencing were performed by the MD Anderson Cancer Center Sequencing and Microarray Facility
The raw reads were mapped to the human reference genome (GRCh38) using the cellranger count pipeline
The digital expression matrix was extracted from the filtered_feature_bc_matrix folder outputted by the cellranger count pipeline.
Genome_build: GRCh38
Supplementary_files_format_and_content: Transcript-Level Read Count files

organism: Homo sapiens

source_name: CD45+ CD3- cells

extract_protocol:
TheLin-CD34+ cells of BM samples were sorted by FACS. Sample concentration and cell suspension viability were evaluated using a Countess II FL Automated Cell Counter (Thermo Fisher Scientific)
Samples were normalized for input onto the Chromium Single Cell A Chip Kit (10x Genomics, Pleasanton, CA), in which single cells were lysed and barcoded for reverse-transcription. The pooled single-stranded, barcoded cDNA was amplified and fragmented.
Single Cell RNAseq

tag: tissue

value: Bone marrow

tag: genotype

value: Male

tag: sampletype

value: Case


title: Aged Sham GFP+, CD45-, CD31-, EpCAM- fibroblasts 2


title: Aged Sham GFP+, CD45-, CD31-, EpCAM- fibroblasts 1


title: Tet2;TRaf6 dKO1

city: New York

first: Bettina

last: Nadorp

state: NY

address: 500 1st Ave

department: Medicine/Pathology

institute: NYU Langone Health

data_processing:
Sequencing results were demultiplexed and converted to FASTQ format using Illumina bcl2fastq software.
The sequencing reads were aligned to the mouse genome (mm10/GRCm38) using the splice-aware STAR aligner
The feature Counts program (Liao, Y., Bioinformatics 2014) was utilized to generate counts for each gene based on how many aligned reads overlap its exons.
These counts were then normalized and used to test for differential expression using negative binomial generalized linear models implemented by the DESeq2 R package
Genome_build: mm10
Supplementary_files_format_and_content: norm_count.txt

source_name: Bone marrow LSK

extract_protocol: Total RNA was extracted from bone marrow sorted samples (Lineage negative, CD117+, SCA-1+) using RNeasy Plus Micro Kit (Life Technologies). Libraries were generated with SMART-Seq v4 Ultra™ Low Input RNA Kit for Sequencing and Low Input Library Prep Kit v2 (Takara Bio # 634899). Libraries were sequenced on an Illumina HiSeq 4000 sequencer.

value: Tet2;TRaf6 dKO


title: Aged Sham GFP+, CD45-, CD31-, EpCAM- fibroblasts 4


title: Aged Bleo GFP+, CD45-, CD31-, EpCAM- fibroblasts 1


title: A1_089h

city: Bilthoven

first: Jeroen

last: Pennings

address: A. van Leeuwenhoeklaan 9

country: Netherlands

institute: Natl. Inst. Public Health & Environment

data_processing:
FASTQ sequence files were generated using the Illumina Casava pipeline version 1.8.3. Initial quality assessment was based on data passing the Illumina Chastity filtering.
Reads containing PhiX control signal were removed. Reads containing (partial) adapters were clipped up to minimum read length of 50bp.
The second quality assessment was based on the remaining reads using the FASTQC quality control tool version 0.10.0.
FASTQ sequence reads were trimmed to their first 50 nucleotides, in order to limit the chance of reads mapping to more than one gene.
Trimmed read sequences were mapped to the E88 chromosome and plasmid reference sequence using bowtie2 (version 2.2.4) with default settings, after which a table with the number of counts per gene was obtained using samtools (version 1.1).
Genome_build: NC_004557.1 (chromosome) and NC_004565.1 (plasmid)
Supplementary_files_format_and_content: Countdata.xlsx: count data per sample plus gene annotation

molecule: polyA RNA

organism: Clostridium tetani

source_name: bacterial cells

growth_protocol: Clostridium tetani batch cultures were grown at Sanofi-Pasteur under different small-scale batch fermentation conditions. The cultures were performed during two studies; the second study served as a confirmation as well as an expansion of the first study. In the first study, cultures were performed in duplicate. Bacterial samples were taken at five time points if possible.

extract_protocol:
10mL samples of cell suspension were collected and centrifuged (5 min at 4500 g). After supernatant removal, cell pellet was put in suspension with 500 μL of fresh medium. For RNA preservation, 1 mL of RNA-protect Bacteria reagent (Qiagen) was added. After homogenization, samples were stored at 5 °C for 5 min to 1 hour and then stored at -70 °C until RNA extraction. After thawing, a maximum of 10^9 cells were collected for RNA extraction. Cell content was not enough for certain samples, in this case the totality of sample was used. RNA extraction and purification were performed by using the RiboPure™-Bacteria kit from Life technologies (ref. AM1925) and the RiboPure Bacteria procedure (Part Number 1925M Rev. D). RNA QC was performed to determine the concentration and the integrity (RIN number).
For the first study, RNA-Seq was performed at RIVM. Library preparation was performed using the TruSeq Stranded mRNA Library Prep kit (Illumina). Additional reagents used were the Ribo-Zero rRNA removal kit for Gram-Positive Bacteria (Illumina), RNA clean & concentrator-5 (Baseclear), and the Baseline-ZERO DNase (Immunosource). Libraries combined with 1% PhiX Control v3 (Illumina) were sequenced using Illumina NextSeq 500 equipment and the NextSeq 500/550 High Output Kit v2.5.  For the second study, RNA-Seq was performed at BaseClear, using their Illumina-based protocols for bacterial RNA-Seq.

treatment_protocol: Growth conditions included: (A) normal (34°C, pH 7.3, 150rpm stirring); (B) no agitation; (C) 36 °C; (D) 32 °C; (E) pH 7.8; (F) increased N2 flux in headspace

tag: condition

value: standard

tag: time point

tag: replicate

tag: study number


title: Tet2;TRaf6 dKO3


title: Tet2;TRaf6 dKO2


title: Traf6 KO3

value: Traf6 KO


title: ABE 2_rep2

city: Vellore

first: Nithin Sam

last: R

state: TamilNadu

address: Bagayam

department: Center for Stem Cell Research

country: India

institute: Christian Medical College

data_processing:
All the raw data in .FASTq format was analyzed using NFCORE - RNASeq pipeline
Genome_build: GrCH38
Supplementary_files_format_and_content: Normalized TMM Values

source_name: umbilical cord blood

growth_protocol: HUDEP-2 cell lines were cultured in StemSpan™ SFEM II (STEMCELL Technologies) supplemented with 50 ng/ml SCF (ImmunoTools), 3 U/ml EPO (Zyrop 4000 IU Injection), 1x Pen-Strep, 1 uM dexamethasone (Alfa Aesar), 1 μg/ml doxycycline (Sigma-Aldrich) and 1x L-Glutamine 200 mM (Gibco™). Cells were passaged at ~80% confluency every 2-4 days to maintain an actively growing population and avoid anoxic conditions.

extract_protocol:
RNA was extracted with Macherey-Nagel’s NucleoSpin RNA kit. Illumina TruSeq RNA Sample Preparation Kit.
RNA libraries were prepared for sequencing using standard Illumina protocols

treatment_protocol: Lentivirus production: Transfections were performed About 1x106 HEK 293T cells were seeded in a 10cm cell culture dish with DMEM (HyClone) containing 10% FBS and 1 % Pen-Strep. After achieving 80% confluency, 2.5 μg of pMD2.G, 3.5 μg of psPAX2 along with 4 μg (construct with gRNA) or 5 μg (Construct with ABE/CBE/Cas9) of lentiviral-vector were transfected using FuGENE-HD as per manufacturer's protocol. After 48 hours the viral supernatant was collected and concentrated using Lenti-X Concentrator (Takara). The concentrated pellet was resuspended in 200 μl 1xPBS and stored in -80oC for downstream use. Transduction: HUDEP-2 or K562 cells were taken in 6 well plate (0.5 million cells per well) along with 6 μg/ml Polybrene (Sigma-Aldrich), 1% HEPES 1M buffer (Gibco) and 100 μl of desired Lentivirus and centrifuged at 800g for 30 min at RT. The lentivirus containing the pLenti-FNLS-P2A-Puro or pLenti-ABERA-P2A-Puro or pLenti-ABE8e-Puro or lentiCRISPR V2 1.1 were used to prepare respective stable lines followed by puromycin selection (1 μg/ml) (Sigma-Aldrich) after 48 hours of transduction till ten days. While for transducing desired gRNA in the respective stable, pLKO5.sgRNA.EFS.GFP/RFP construct was used and the transduction efficiency was analyzed by FACS for GFP/RFP after 48 hours.

value: human erythroid progenitor cell

tag: cell line

value: ABE expressing stable

value: treated with gRNA 2


title: Tet2 KO3

value: Tet2 KO


title: Traf6 KO1


title: Tet2 KO1


title: WT3

value: WT


title: WT1


title: GMP pattern MDS

description: Baseline CMP pattern MDS CD34+ cells

source_name: CD34+ cells


title: WT2


title: Tet2 KO2


title: RCAS_CRE_4_S24

first: Oren

last: Becher

address: 1468 Madison Ave 4th Fl,

department: Pediatric Hematology-Oncology

institute: Mount Sinai

description: Ezh2Y641F/+ (RCAS CRE-Ezh2 gain of function)

data_processing:
FASTQ quality was evaluated using FastQC.
Adapters were trimmed, and reads of poor quality or aligning to rRNA sequences were filtered using Trim Galore
Trimmed reads were aligned to mm10 using STAR.
Read counts for each gene were calculated using HTSeq-Count in conjunction with a gene annotation file for mm10 obtained from Ensembl (http://useast.ensembl.org/index.html)
DESeq2 analyses were run comparing Ezh2f/f or Ezh2Y641F mice to control mice
Genome_build: mm10
Supplementary_files_format_and_content: Matrix table in Excel format containing DESeq2 output and DESeq2 normalized abundance measurements for each sample

source_name: murine diffuse pontine glial tumor

extract_protocol:
DIPG tumors from each group were flash frozen in liquid nitrogen. Total RNA was extracted using the RNeasy midi-kit (Qiagen). The Illumina TruSeq Stranded Total RNA Library Preparation Kit was used to prepare sequencing libraries
The procedure includes rRNA depletion, remaining RNA purification and fragmentation, cDNA synthesis, 3’ end adenylation, Illumina adapter ligation, library PCR amplification and validation. lllumina HiSeq 4000 Sequencer was used to sequence the libraries with the production of single-end, 50 bp reads.

value: brain tumor (pontine glioma)

value: RCAS CRE (Ezh2 gain of function)


title: RCAS_CRE_2_S22


title: RCAS_CRE_3_S23


title: ABE 2_rep1


title: Aged Bleo GFP+, CD45-, CD31-, EpCAM- fibroblasts 4

value: 72 weeks


title: RCAS_Y_1_S18

description: Ezh2 WT(RCAS Y)

value: RCAS Y (control)


title: RCAS_Y_3_S20

description: Ezh2 WT(RCAS Y)


title: RCAS_Y_2_S19

description: Ezh2 WT(RCAS Y)


title: NEL_CRE_13_S38

description: Ezh2f/f (RCAS CRE-Ezh2 loss-of-function)

value: Nestin-Tv-a; p53f/f;Ezh2f/f

value: RCAS CRE (Ezh2 loss of function in the context of p53 loss)


title: N_CRE_2_S25

description: Ezh2 WT

value: Nestin-Tv-a; p53f/f;Ezh2wt

value: RCAS Cre (p53 loss)


title: RCAS_CRE_1_S21


title: NEL_CRE_16_S41


title: Microglia day90 rep2

city: Beijing

first: Yanbing

last: Zhu

address: No. 95, Yong ‘an Road, Xicheng District

department: Experimental and Translational Research Center

country: China

institute: Beijing Friendship Hospital, Affiliated to the Capital University of Medical Sciences

data_processing:
Illumina Casava1.8 software used for basecalling.
Sequenced reads were trimmed for adaptor sequence, and masked for low-complexity or low-quality sequence, then mapped to mm9 whole genome using bowtie v2.3.4.2
The read numbers of the corresponding genes were counted via HTSeq v0.6.1.
Genome_build: mm9
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: Microglia

extract_protocol:
Microglia were isolated via FACS, and RNA was harvested using Qiagen RNeasy MinElute Cleanup Kit (Cat NO. 74104)
RNA libraries were prepared for sequencing using standard Illumina protocols

treatment_protocol: The distal middle cerebral artery (MCA) was permanently ligated with 10-0 sutures followed by 7 min of occlusion of the bilateral common carotid artery (CCA). The sham control group only received skull surface lesions.

value: cerebral cortex

value: 8-10 weeks

value: ischemic stroke

value: day 90


title: Microglia day60 rep2

value: day 60


title: Microglia day90 rep1


title: N_CRE_1_S24

description: Ezh2 WT


title: NEL_CRE_15_S40


title: N_CRE_3_S26

description: Ezh2 WT


title: NEL_CRE_14_S39


title: Traf6 KO2

value: Bone marrow

value: Traf6 KO


title: Microglia day60 rep1


title: Microglia day21 rep2

value: day 21


title: Microglia day3 rep1

value: day 3


title: Microglia day21 rep1


title: Microglia day3 rep2


title: Microglia day7 rep2

value: day 7


title: Microglia day1 rep2

value: day 1


title: Microglia day1 rep1


title: Microglia Sham rep1

value: sham


title: Microglia Sham rep2


title: PBS2

city: Miami

first: Matt

middle: C

last: Danzi

state: FL

address: 1095 NW 14th Terrace, Lois Pope LIFE Center 4-26

institute: University of Miami

data_processing:
RNAseq: Sequence reads were aligned to the mm10 mouse reference genome sequence using STAR 2.7.0
RNAseq: Gene structure annotations corresponding to the Ensembl annotation of the mm10 genome sequence were used to build a transcriptome index and provided to STAR during the alignment step
RNAseq: The aligned reads were sorted and read counts per gene were obtained from mapped reads using STAR 2.7.0
RNAseq: EdgeR version 3.24.3 (using limma-3.38.3) in R-3.5.0 was used to identify differentially expressed genes.
RNAseq: Read-level quality checking was performed using fastqc-0.10.1 and the fastqc-aggregator (https://github.com/staciaw/fastqc_aggregator) and gene-level quality checking was performed using RSeQC-2.6.1 (Wang et al., 2012).
Genome_build: mm10
Supplementary_files_format_and_content: normalized gene expression per sample

extract_protocol:
RNAseq: RNA was extracted using RNeasy mini kit (Qiagen), according to manufacturer’s guidelines. Residual DNA contamination was removed by treating the spin column with 40 units of RNase-free DNase I (Qiagen) for 15 min at room temperature prior to RNA elution. RNA concentrations and purity were verified for each sample following elution with Agilent 2100 Bioanalyzer (Agilent). RNA with RIN factor above 8.0 was used for library preparation.
Libraries were generated using the NEBNext poly(A) mRNA magnetic isolation module and NEBNext Ultra II Directional RNA Library Prep Kit for Illumina according to the recommended manufacturer protocol.  Ligation and library integrity was verified using a Tapestation and Glowmax station. The NEBNext Multiplex Oligos for Illumina (Dual Index Primers Set 1) adapter sequences were ligated to each sample in each group to allow for sequencing multiplexing. Sample libraries ligated with unique adapter sequences, were multiplexed, and sequencing was performed in an Illumina HiSeq4000, generating 75bp pair-ended reads.

treatment_protocol: Mice (6-8 weeks old) underwent the following procedures:  a) 10 days of 20 mg/kg indole-3-propionic acid (IPA in PBS) or vehicle (PBS) daily gavage b) 10 days of 20 mg/kg/ IPA (in PBS) or vehicle (PBS) daily gavage followed by sciatic nerve crush injury and 3 additional days of IPA treatment. Pool of sciatic DRGs from 2 mice were used for each RNAseq sample.DRG were collected in RNase later reagent, and crushed with RNase free micropestle for RNA extraction. Biological triplicates of each condition were generated.

value: 6-8 weeks old

value: vehicle (PBS)

value: Dorsal Root Ganglia (DRG)


title: IPA-SNC3

value: indole-3-propionic acid (IPA)-sciatic nerve crush (SNC) injury


title: IPA1

value: indole-3-propionic acid (IPA)


title: PBS-SNC2

value: vehicle (PBS)-sciatic nerve crush (SNC) injury


title: PBS-SNC3


title: PBS-SNC1


title: Sh1

city: Albuquerque

first: Nikolaos

last: Mellios

state: NM

address: 915 Camino De Salud NE

department: Neuroscience

institute: University of New Mexico

data_processing:
Image analysis and base calling were performed using solexa platform v1.8, Sequence quality was examined using FastQC software.
Adapter trimming and filtering by cutadapt software. Reads were then aligned to mouse genome using HiSat 2 Software.
Transcript abundance for each for each sample was estimated using StringTie, and the FPKM value for gene and transcript levels were caluclated using R package Ballgown.
Genome_build: GRCm28
Supplementary_files_format_and_content: abundance

extract_protocol:
RNA was extracted from 12 week old orbital frontal cortex by Qiagen miRNeasy kit according to manufacturer supplied protocol. 1ug of Total RNA was used for library construction.
Libraries were constructed using Kapa Stranded RNA-seq Library Kit

treatment_protocol: sh-circHomer1/sh-Homer1b vs sh-scramble

tag: strain background

tag: genotype/variation

value: circHomer1/Homer1b knockdown

value: 12 Weeks

value: Brain

value: Orbital Frontal Cortex


title: PBS1


title: Sh3


title: Sh2


title: IPA-SNC2


title: C1

source_name: sh-scramble_orbital frontal cortex

value: control


title: IPA3


title: IPA-SNC1


title: C11_8_CTRL

city: Zurich

first: giancarlo

last: russo

state: Schweiz

address: winterthurerstrasse 190

department: Functional Genomics Center Zurich

country: Switzerland

institute: ETH/University of Zurich

data_processing:
bcl2Fastq v2.19 software used for demultiplexing + basecalling.
reads trimmed with trimmomatic, options: ILLUMINACLIP:adapters.fa:1:20:7:5:true AVGQUAL:10 MINLEN:20
reads mapped with STAR  v2.7.1, options: --sjdbOverhang 150 --twopassMode None --runThreadN 8 --outFilterType BySJout --outFilterMatchNmin 30 --outFilterMismatchNmax 10 --outFilterMismatchNoverLmax 0.05 --outMultimapperOrder Random --alignSJDBoverhangMin 1 --alignSJoverhangMin 8 --alignIntronMax 1000000 --alignMatesGapMax 1000000 --outFilterMultimapNmax 50 --chimSegmentMin 15 --chimJunctionOverhangMin 15 --chimScoreMin 15 --chimScoreSeparation 10 --outSAMstrandField intronMotif --outSAMattributes All --outStd BAM_Unsorted --outSAMtype BAM Unsorted
count: FeatureCounts (Bioconductor), options: allowMultiOverlap = true; countPrimaryAlignmentsOnly= true; minFeatureOverlap=10; minMapQuality= 10 ; keepMultiHits=true
differential expression analysis: EdgeR, options: normMethod = TMM; backgroundExpression =10; testMethod = glm; deTest =QL
Genome_build: Mus Musculus, Ensembl GRCm38 P5
Supplementary_files_format_and_content: tad-delimited, raw counts

extract_protocol:
Samples were isolated from lower incisors freshly dissected from newborn (PN0) wild type and K14cre;Nogo-A fl/fl pups. The dental epithelium was isolated by incubating the incisors in Dispase (2mg/ml in HBSS; D4818, Sigma Aldrich, Buchs, Switzerland) and immediately snap-frozen in liquid nitrogen. RNA was isolated using the RNeasy Plus Mini Kit (Qiagen AG, Switzerland) and subsequently purified by ethanol precipitation. The quality of the isolated RNA was determined with a Qubit® (1.0) Fluorometer (Life Technologies, California, USA) and a Bioanalyzer 2100 (Agilent, Waldbronn, Germany). Only those samples with a 260 nm/280 nm ratio between 1.8–2.1 and a 28S/18S ratio within 1.5–2 were further processed.
TruSeq RNA stranded
PolyA, TruSeq RNA Kit

value: dental epithelium of incisors

tag: developmental stage

value: newborn (PN0)

value: wt


title: Sh4


title: C11_7_MUT

value: K14cre cre/+; Nogo-A fl/fl


title: C3


title: C2


title: IPA2


title: Microglia day7 rep1

value: cerebral cortex

value: 8-10 weeks

value: ischemic stroke

value: day 7


title: C11_5_CTRL


title: Prx1-Cre male #2

city: Seoul

first: Ji Hoon

last: Kim

address: Kwanakro 1

country: South Korea

institute: Seoul national University, Seoul, Korea

data_processing:
RNA-seq reads were aligned to the mm9 genome assembly using Tophat2 (v2.0.9).
bedtools was used to get read counts for genes (bedtools multicov -split -D).
read counts were obtained for each sample for RNA-seq data.
The reads were normalized (based on Generalized Linear Models ) using EdgeR.
Genome_build: mm10
Supplementary_files_format_and_content: RPKMs

source_name: Sca-1 positive mesenchymal cell

growth_protocol: All mouse lines were backcrossed onto a C57BL/6 background and were housed and handled according to the guidelines of the Institutional Animal Care and Use Committee (IACUC) at Seoul National University.

extract_protocol:
Hindlimb muscles were mechanically dissected and dissociated in Dulbecco’s modified Eagle’s medium (DMEM) containing 10% horse serum (Hyclone, Logan, UT, USA), collagenase II (800 units/mL; Worthington, Lakewood, NJ, USA), and dispase (1.1 units/mL; StemCell Technologies, Vancouver, BC, Canada) at 37°C for 60 min. Digested suspensions were subsequently triturated and washed with DMEM to harvest mononuclear cells. Mononuclear cells were stained with Sca1-FITC (clone D7; BioLegend, San Diego, CA, USA), CD31-APC (clone MEC 13.3; BD Biosciences, Franklin Lakes, NJ, USA), CD45-APC (clone 30-F11; BD Biosciences), and Vcam1-Biotin (clone 429; BD Biosciences). Streptavidin-PE/Cy7 (BioLegend) was used as a secondary reagent. Stained cells were analysed and Lin–Vcam-Sca1+ cells were isolated using a FACS Aria III cell sorter (BD Biosciences). Total RNA was extracted from freshly isolated MuSCs using a TRIzol Reagent (Life Technologies, Carlsbad, CA, USA)
RNA libraries were prepared for sequencing using standard Illumina protocols.

value: Freshly isolated MSCs

tag: passages

value: WT


title: C11_3_CTRL


title: C11_2_MUT


title: Wild Type

city: San Francisco

first: Walter

last: Eckalbar

state: CA

address: 513 Parnassus Ave MSB-813

institute: University of California, San Francisco

description:
scRNA-seq
WT
Jackson Laboratory

data_processing:
cellranger-2.0.0 (command line example: count --id=CLH2 --transcriptome=refdata-cellranger-mm10-1.2.0 --fastqs=fastq_path --project=CLH1)
Genome_build: mm10
Supplementary_files_format_and_content: *_raw_gene_bc_matrices_h5.h5: 10x Cell Ranger h5 file.

source_name: Brain leukocytes

extract_protocol:
Four days post-injury animals were euthanized and perfused with ice cold GKN buffer (8 g/L NaCl, 0.4 g/L KCl, 1.41 g/L Na2HPO4, 0.6 g/L NaH2PO4, and 2 g/L D(+) glucose, pH 7.4) through the heart to eliminate circulating blood. Brains were harvested and ipsilateral hemispheres were dissected for further study. Ipsilateral brain hemispheres were harvested and the olfactory bulbs removed. Tissues were minced and washed in cold GKN buffer. Tissue chunks were resuspended in 2.5 mL of digestion buffer (NOSE buffer (4 g/L MgCl2, 2.55 g/L CaCl2, 3.73 g/L KCl, 8.95 g/L NaCL, pH 6-7) with 200 U/ml DNase I (Sigma-Aldrich) and 0.2 mg/mL Collagenase I (Worthington Biochemical)) and incubated at 37C in a dry incubator for 1h with shaking every 15 min. All samples were placed on ice to halt enzymatic activity. Tissues were crushed through a 100 micron nylon filter cup (BD Biosciences) and the cell suspension was washed with GKN buffer. An isotonic Percoll solution (90% Percoll (GE Biosciences), 10% 1.5M NaCl) was made and brought to room temperature. Cells were resuspended in 20 mL of a 1.03 g/mL isotonic Percoll solution in GKN buffer and underlayed with 10 mL of a 1.095 g/L isotonic Percoll solution in PBS. Cells were spun at ~850g at room temperature for 20 min. Buffy layers were isolated.
Cells were blocked with 10% rat serum for 10 min on ice and then stained with the following antibodies: anti-CD45 PE-Cy5.5 (Clone 30-F11, Invitrogen), anti-Ly6G PE-eFluor610 (Clone 1A8, Invitrogen), anti-CD11b PE (Clone M1/70, BD Biosciences), anti-Ly6C PE-Cy7 (Clone AL-21, BD Biosciences), and anti-CD3 FITC (Clone 17A2, BD Biosciences). DAPI (Invitrogen) was used at 1 uM to gate out dead cells. Cells were sorted on a FACS AriaIIu (BD Biosciences) at the San Francisco VA Medical Center Flow Cytometry Core Facility.
10x Genomics Chromium Single Cell 3’ Library & Gel Bead Kit v2.

treatment_protocol: Adult male C57BL/6 wild type mice and Ccr2-/- mice were given traumatic brain injury (TBI) using a controlled cortical impact model to induce a focal TBI injury with parameters of 1.5mm deep, 150 ms dwell time, and 3m/s piston speed.

tag: strain/background

value: Wild Type

value: 12 weeks

tag: gender

value: Male

value: Brain CD45+ leukocytes

value: Traumatic brain injury (TBI)

value: 4 days post-TBI


title: C11_10_MUT


title: C11_1_MUT


title: Prx1-Cre male #1

tag: strain


title: Prx1-Cre;Bap1f/f male#1

value: Prx1-Cre;Bap1f/f conditional knock out


title: Ccr2-/-

description:
scRNA-seq
KO
Originally from Jackson Laboratory, colony bred at San Francisco VA Animal Facility.

tag: age

tag: treatment


title: C4

value: control

value: 12 Weeks

tag: tissue

value: Brain

value: Orbital Frontal Cortex


title: 4xLer_H3K27me3_rep1

city: Gatersleben, Stadt Seeland, Germany

first: Hua

last: Jiang

address: Corrensstraße 3

country: Germany

institute: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben

library_source: genomic

data_processing:
For RNA-seq analysis, reads were mapped to TAIR10 Col-0 and the Ler‐0 genomes with HISAT2 (Kim et al., 2019) in paired-end mode.
DEGs were analyzed via the Subread (Liao et al., 2019) and DESeq2 R packages (Love et al., 2014) with a 0.05 false discovery rate (FDR), and 2 log FC cutoff.
Genome_build: tair10
Supplementary_files_format_and_content: RNA-seq: differential expression analysis
Supplementary_files_format_and_content: ChIP-seq bedGraph

molecule: genomic DNA

organism: Arabidopsis thaliana

source_name: two-week-old seedlings

growth_protocol: Seeds were sown in soil and stratified for 2 days at 4°C. The plants were then grown in a growth chamber with a photoperiod of 16 h of light and 8 h of darkness at 22°C (LDs) or in a chamber with a photoperiod of 8 h of light and 16 h of darkness at 22°C (SDs).

extract_protocol:
For RNA-seq library preparation, total RNA from two-week-old seedlings was extracted with a RNeasy Plant Mini kit (Qiagen). Afterwards, the total RNA from seedlings was treated with a Poly(A) mRNA Magnetic Isolation Module Kit (NEB #E7490). Libraries were prepared from the resulting mRNA with a NEBNext Ultra Kit (NEB #E7530). For ChIP-seq library preparation, two weeks-old seedlings grown were collected. The ChIP experiments essentially followed a published protocol (Moreno-Romero et al., 2017) with minor changes. In brief, the chromatin was sheared to an average size of 350 bp with a Bioruptor® Plus sonication device. The sonicated sample was then divided into two and immunoprecipitated with 1μg of anti-H3 (Abcam ab1791) or 2.5μg of anti-H3K27me3 antibodies (07-449, Millipore). After overnight incubation at 4 °C, the antibodies were recovered with Dynabeads protein A (Invitrogen, cat. No. 10001D) followed by a series of washing steps as described (Moreno-Romero et al., 2016). An IPure kit v2 (Diagenode, Belgium) was used to purify the DNA. Afterward, the purifiedDNA was used for qPCR or library preparation. The steps of library preparation were performed with the NEBNext® Ultra™ II DNA Library Prep Kit (NEB). The library was sequenced on an Illumina Novaseq instrument with 2 × 150 bp reads..
RNA-seq Libraries were prepared for sequencing using standard Illumina protocols
For ChIP-seq library preparation, the purified ChIP-ed DNA was utilized for the subsequent end repairing, A-tailing, adaptor ligation, and library amplification. The steps were performed with the NEBNext® Ultra™ II DNA Library Prep Kit (NEB).  The library was sequenced on an Illumina Novaseq instrument with 2 × 150 bp reads.

value: seedling

tag: background ecotype

value: Ler

tag: ploidy

tag: chip antibody

value: anti-H3K27me3 (07-449, Millipore)


title: 2xLer_H3_rep1

value: anti-H3 (Abcam ab1791)


title: 4xCol_H3K27me3_rep1


title: 4xCol_H3_rep2


title: 2xLer_H3_rep2


title: 4xLer_H3_rep2


title: 4xLer_H3_rep1


title: 2xLer_H3K27me3_rep1


title: C11_9_CTRL

tag: cell type

value: dental epithelium of incisors

value: newborn (PN0)

tag: genotype

value: wt


title: 2xLer_H3K27me3_rep2


title: Prx1-Cre;Bap1f/f male#2

value: Freshly isolated MSCs


title: 2xCol_H3K27me3_rep1


title: PBS3

value: 6-8 weeks old

value: vehicle (PBS)

value: Dorsal Root Ganglia (DRG)


title: 4xCol_H3_rep1


title: 2xCol_H3K27me3_rep2


title: 4xLer_rep1


title: 2xLer_rep1


title: 4xLer_H3K27me3_rep2


title: 2xCol_H3_rep1


title: 2xCol_H3_rep2


title: 4xCol_rep1


title: CZ  rep5

city: CHENGDU

first: CHENGCHENG

last: LIU

state: SICHUAN

address: No. 14, Section 3, Renminnan Road

institute: Sichuan University

data_processing:
Eukaryotic mRNA sequencing was performed on Illumina Novaseq 6000 by Shanghai Majorbio Bio-pharm Technology Co., Ltd. Raw gene counts with a minimum of two counts per million in at least one sample were used for downstream analyses. Differentially expressed genes were determined by the DESeq2 Bioconductor/R package.
Genome_build: Rnor_6.0
Supplementary_files_format_and_content: tab-delimited text files include gene count for each Sample ...
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

organism: Rattus norvegicus

source_name: Gingiva

extract_protocol:
Total RNA was extracted with TRIzol® reagent (Thermo Fisher Scientific, Inc.).
The TruSeq Stranded total RNA with RiboZero Plus kit (IIlumina, San Diego, CA) was used to obtain a sequencing library from 1μg of total RNA.

treatment_protocol: EP was established by ligature with 4–0 silk thread around the bilateral maxillary first molars. Three days after ligature, P. gingivalis ATCC 33277 (107 CFU/mL) was smeared onto silk twice. The method of administration was to inject 200 μL each hydrogel into the periodontal pocket of bilateral maxillary first molar with a blunt syringe, once a week for 4 weeks. Hydrogel was used as a control for sham group.

value: Sprague-Dawley

value: Gingiva

value: Six-week-old

value: wild type

value: Experimental periodontitis treated by curcumin/ZNPs hydrogel


title: 2xCol_rep2


title: 4xLer_rep2


title: 4xCol_rep2


title: 2xCol_rep1


title: 4xCol_H3K27me3_rep2


title: CZ  rep3


title: CZ  rep2


title: CZ  rep4


title: ZnO rep5

value: Experimental periodontitis treated by ZNPs hydrogel


title: ZnO rep1


title: ZnO rep4


title: ZnO rep3


title: Cur  rep3

value: Experimental periodontitis treated by curcumin hydrogel


title: Cur  rep5


title: ZnO rep2


title: Cur  rep2


title: 2xLer_rep2

value: seedling

value: Ler


title: EP  rep4

value: Experimental periodontitis


title: EP  rep5


title: Sham rep5

value: Sham


title: Cur  rep1


title: Sham rep3


title: Sham rep2


title: Sham rep1


title: CZ  rep1


title: Sham rep4


title: EP  rep1


title: Zebrafish Metabolite treated - ZM_Rep3

city: Guelph

first: Terry

last: Van Raay

state: ON

address: 474-570 Gordon St

department: Molecular and Cellular Biology

country: Canada

institute: University of Guelph

data_processing:
Demultiplexed read quality was checked for each sample using FastQC v0.11.8.
Reads were aligned to GRCz11 using HISAT2-2.1.0
Expression estimates were calclulated using StringTie v1.3.4d and htseq-count v0.11.0
Differential expression analysis was conducted using DESeq2-1.29.13
Genome_build: GRCz11
Supplementary_files_format_and_content: abundance measurements in FPKM for all samples

organism: Danio rerio

source_name: Zebrafish larvae

extract_protocol:
Heads were surgically removed from the body at the base of the hindbrain. RNA was extracted from a pool of five heads for each treatment using the GENEzol™ TriRNA Pure Kit (Froggabio). RNA samples were DNase treated using the Invitrogen™ DNA-free™ DNA Removal Kit
Poly(A) mRNA was prepared using the NEBNext® Ultra™ II Directional RNA Library Prep Kit for Illumina

value: Tubingen

tag: tissue type

value: head

value: long-pec

tag: protocol

value: Metabolite treated


title: Germ-free - GF_Rep3

value: Germ-free


title: Zebrafish Metabolite treated - ZM_Rep2


title: Zebrafish Metabolite treated - ZM_Rep1


title: Cur  rep4


title: EP  rep2


title: Germ-free - GF_Rep2


title: Conventionally raised - CV_Rep1

value: Conventionally raised


title: sox10+ cells, mut2.5-1

city: Hangzhou

first: Zhidan

last: Xia

address: NO. 866 Yuhangtang Road

institute: Zhejiang University School of Medicine

description: 2.5 dpf.txt

data_processing:
Illumina Novaseq 6000 were used for basecalling
Reads of samples were aligned to Ensembl Danio rerio (zebrafish) genome GRCz11 (http://www.ensembl.org/) using HISAT package.
The mapped reads of each sample were assembled using StringTie and all transcriptomes were merged to reconstruct a comprehensive transcriptome using perl scripts
StringTie and edgeR were used to estimate the expression levels of all transcripts
StringTie was used to calculate FPKM for quantification of mRNAs
Genome_build: GRCz11
Supplementary_files_format_and_content: tab-delimited text files include FPKM values for each Sample

source_name: sox10+ cells

extract_protocol:
Cell populations were directly homogenized into Trizol LS reagent (Invitrogen). Total RNA was immediately extracted using a Direct-zol RNA kit (R2050, Zymo Research).
Library construction started from fragmented cDNA, and then the paired-end sequencing was performed by Illumina Novaseq 6000.
SMARTseq

value: slc30a1 mutant

value: 2.5 dpf

value: neural crest

value: sox10+ cells


title: sox10+ cells, Con2.5-1

description: 2.5 dpf.txt

value: control


title: sox10+ cells, mut2-2

description: 2 dpf.txt

value: 2 dpf


title: Conventionally raised - CV_Rep3


title: sox10+ cells, Con2-2

description: 2 dpf.txt


title: Germ-free - GF_Rep1


title: sox10+ cells, mut2.5-2

description: 2.5 dpf.txt


title: sox10+ cells, Con2.5-2

description: 2.5 dpf.txt


title: sft_rep2

city: Cambridge

first: Jessica

last: Whited

state: MA

address: 7 Divintiy Street, Sherman Fairchild - Whited Lab

institute: Harvard University

data_processing:
sequence reads were trimmed for adapter and quality using Trimmomatic v0.39 with the following parameters: LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36
index of the axolotl transcriptome (https://data.broadinstitute.org/Trinity/SalamanderWeb/Axolotl.Trinity.CellReports2017.fasta.gz) was made using Kallisto v0.45.1
Sequence based bias correction was performed using Kallisto with 200 bootstraps across 20 threads
The transcript-level abundances from Kallisto were summarized and imported into R as a matrix of counts using tximport v1.0.3
summary matrix of transcript lengths and estimated counts was created with the R package tximport
Genome_build: https://data.broadinstitute.org/Trinity/SalamanderWeb/Axolotl.Trinity.CellReports2017.fasta.gz
Genome_build: "A tissue-mapped axolotl de novo transcriptome enables identification of limb regeneration factors" by Bryant et al., Cell Reports, 2017.
Supplementary_files_format_and_content: HDF5 transcript abundance estimates

organism: Ambystoma mexicanum

source_name: DRG

extract_protocol:
The Zymo research protocol rna clean concentrator 5  https://files.zymoresearch.com/protocols/_r1013_r1014_r1015_r1016_rna_clean_concentrator-5.pdf was used to harvest and submit 5 ug of total RNA for the construction of sequencing libraries.
RNA libraries were prepared for sequencing using standard Illumina protocols

tag: operation

value: sham

tag: limb

value: forelimb

value: surrounding tissue


title: sft_rep3


title: EP  rep3

value: Sprague-Dawley

value: Gingiva

value: Six-week-old

value: wild type

value: Experimental periodontitis


title: sox10+ cells, Con2-1

description: 2 dpf.txt


title: sox10+ cells, mut2-1

description: 2 dpf.txt


title: dft_rep4

value: denervated


title: sft_rep4


title: dft_rep6


title: dft_rep1


title: sfn_rep3

value: nerve


title: sft_rep1


title: sfn_rep1


title: dfn_rep3


title: dft_rep5


title: dfn_rep1


title: dft_rep3


title: BMSCs, Ost2

city: Guangzhou

first: Xinpeng

last: Liu

state: Guangdong

address: 157 health care road, nangang district, Harbin

department: StomatologicalHospital

institute: Southern Medical University

data_processing:
Illumina Casava2.19 software used for basecalling.
Raw data (raw reads) of fastq format were firstly processed through in-house perl scripts. In this step, clean data (clean reads) were obtained by removing reads containing adapter, reads containing ploy-N and low-quality reads from raw data. At the same time, Q20, Q30 and GC content the clean data were calculated. All the downstream analyses were based on the clean data with high quality.
Reference genome and gene model annotation files were downloaded from genome website directly. Index of the reference genome was built using Hisat2 v2.0.4 and paired-end clean reads were aligned to the reference genome using Hisat2 v2.0.4. We selected Hisat2 as the mapping tool for that Hisat2 can generate a database of splice junctions based on the gene model annotation file and thus a better mapping result than other non-splice mapping tools.
HTSeq v0.9.1 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. FPKM, expected number of Fragments Per Kilobase of transcript sequence per Millions base pairs sequenced, considers the effect of sequencing depth and gene length for the reads count at the same time, and is currently the most commonly used method for estimating gene expression levels
Differential expression analysis of two conditions/groups (three biological replicates per condition) was performed using the DESeq R package (1.18.0)
Gene Ontology (GO) enrichment analysis of differentially expressed genes was implemented by the GOseq R package, in which gene length bias was corrected. We used KOBAS software to test the statistical enrichment of differential expression genes in KEGG pathways.
Genome_build: Rnor_6.0
Supplementary_files_format_and_content: readcount.txt

source_name: BMSCs, Ost

growth_protocol: BMSCs at passage 3-6 were seeded in 10cm-diameter culture dish at a density of 2×104cells/cm2, and cultured in Growth Medium in 5%CO2, 37°C circumstance until they reached 100% or exceeded 100% confluency.

extract_protocol:
Total RNA was extracted with TRIZOL according to the manufacturer’s protocol.  RNA purity was checked using the NanoPhotometer® spectrophotometer. RNA concentration was measured using Qubit® RNA Assay Kit in Qubit® 2.0 Flurometer . RNA integrity was assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system .A total amount of 1 μg RNA per sample was used as input material for the RNA sample preparations.
RNA libraries were prepared for sequencing using standard Illumina protocols

treatment_protocol: Cultured in the adipogenic/osteoblastic Differentiation Basal Medium with or without aspirin

value: Bone mesenchymal stem cells (BMSCs)

value: Bone marrow

value: cultured in the osteogenic differentiation basal medium


title: Conventionally raised - CV_Rep2

value: Tubingen

value: head

tag: developmental stage

value: long-pec

value: Conventionally raised


title: dfn_rep4


title: dft_rep2


title: BMSCs, Ost_ASA2

source_name: BMSCs, Ost_ASA

value: cultured in the osteogenic differentiation basal medium with aspirin


title: BMSCs, Ost_ASA3


title: dfn_rep2

value: forelimb


title: BMSCs, Ost_ASA1


title: BMSCs, Adi_ASA1

source_name: BMSCs, Adi_ASA

value: cultured in the adipogenic differentiation basal medium with aspirin


title: BMSCs, Ost3

value: Sprague-Dawley


title: BMSCs, Adi_ASA3


title: BMSCs, Control2

source_name: BMSCs, Control

value: untreated


title: BMSCs, Control1


title: BMSCs, Adi1

source_name: BMSCs, Adi

value: cultured in the adipogenic differentiation basal medium


title: BMSCs, Adi_ASA2


title: BMSCs, Control3


title: dft_rep7

value: surrounding tissue


title: BMSCs, Adi2


title: BMSCs, Adi3


title: sfn_rep2

value: sham


title: BMSCs, Ost1


title: Type 1 diabetes patient 17D

type: RNA

city: marseille

first: christophe

last: chevillard

address: campus de luminy

country: France

institute: INSERM 1090

description: Gene expression on fresh human blood

hyb_protocol: The hybridization was performed for 17 hours at 10 rpm and 65°C in a Hybridization Oven (Robbins Scientific). Slide Wash was done according to the manufacturer's recommendation.

scan_protocol: Cy3 intensities were detected by one-color scanning using Agilent DNA microarray scanner at 3 micron resolution. Raw data from scanned image files were extracted using Feature Extraction software (10.7.3.1). Spike-in used in the experiment gave reliable data and all arrays passed the quality control.

data_processing: Data normalized on quantile with MEV4

source_name: Peripheral Blood

label_protocol: Microarrays were done using the Low Input Quick Amp Labeling One-Color Kit (Agilent Technologies) and the One-color RNA Spike-in Kit (Agilent Technologies) following the manufacturer's standard protocol (Agilent One-Color Microarray-Based Gene Expression Analysis Low Input Quick Amp Labeling). 100 ng of total RNA input was used. After cDNA synthesis, amplification, labeling and purification, the reaction efficacy was checked using the NanoDrop.

extract_protocol: Peripheral blood samples were collected in 8mL BD Vacutainer® CPT ™ BD tubes containing sodium citrate (anticoagulant), separator gel and Ficoll ™ Hypaque ™ solution, to separate the mononuclear cells by density gradient. The PBMC pellet was re-suspended and stored in RNAlater reagent (Ambion- Thermofisher, USA) in RNAse and DNase free tubes and stored in a -80C freezer, for subsequent total RNA extraction. Samples were then thawed and centrifuged  for 30min, at 2300 rpm.The pellet  after successive washing steps with Hanks Buffer (HBSS- Gibco™ -Thermofisher) was centrifugated at 1800 rpm for 10min.  PBMC were lysed with ACK lysing buffer –Gibco™, washed with the same buffer  centrifugated at 1800 rpm for 10min . Total RNA was extracted using the RNeasy Mini Kit (Qiagen), and stored in RNAlater™ Stabilization Solution  (Ambion-Thermofisher, USA) in RNase- and DNase-free tubes, and stocked up  at -80ºC, for subsequent total RNA extraction

value: Male

tag: ethnicity

value: non-white

tag: diagnosis

value: Type 1 diabetes


title: Type 1 diabetes patient 19D

description: Gene expression on fresh human blood

tag: gender


title: Type 1 diabetes patient 16D

description: Gene expression on fresh human blood

value: Female


title: Type 1 diabetes patient 15D

description: Gene expression on fresh human blood

value: white


title: Type 1 diabetes patient 20D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 18D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 13D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 11D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 10D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 9D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 6D

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 7D

description: Gene expression on fresh human blood


title: Control 20C

description: Gene expression on fresh human blood

value: Healthy control


title: Control 18C

description: Gene expression on fresh human blood

value: male


title: Type 1 diabetes patient 3D

description: Gene expression on fresh human blood


title: Patient 10 WML

city: Amsterdam

first: Anne-Marie

middle: van

last: Dam

state: Noord Holland

address: De Boelelaan 1108

department: Anatomy and Neurosciences

institute: Amsterdam UMC, location VUmc

description:
Patient 10
Sample 36

data_processing:
Quality control of the raw FASTQ files was performed with FASTQC.
Bad quality bases were trimmed with TrimGalore version 0.4.5. Sequences were aligned using HiSat2 version 2.1 to the H. Sapiens (GRCh38.92) reference template obtained from Ensembl and quantified with featureCounts.
A quality check of aligned data was performed with FASTQC and MultiQC.
Genome_build: GRCh38.92
Supplementary_files_format_and_content: Counts per Million (edgeR)

source_name: Brain

extract_protocol:
Leukocortical areas were extracted using laser capture microscopy. Samples were collected in lysis buffer of the PicoPure ARCTURUS® PicoPure® RNA Isolation Kit and RNA was isolated according to the manufacturers protocol. Only samples with a RIN > 6 before the LCM procedure were included in the sequencing.
Sequencing libraries were prepared with the Quant Seq 3' mRNA-Seq Library Prep Kit FWD

tag: area

value: WML

value: f


title: Type 1 diabetes patient 2D

description: Gene expression on fresh human blood


title: Control 16C

description: Gene expression on fresh human blood


title: Control 15C

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 5D

description: Gene expression on fresh human blood


title: Control 17C

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 1D

description: Gene expression on fresh human blood


title: Control 14C

description: Gene expression on fresh human blood


title: Control 19C

description: Gene expression on fresh human blood


title: MEVca

city: Jena

first: Matthew

middle: George

last: Blango

address: Adolf-Reichwein-Str. 23

department: Junior Resaerch Group RNA Biology of Fungal Infections

institute: Leibniz Institute for Natural Product Research and Infection Biology

data_processing:
Raw sequencing reads (50 nt) were obtained using Illumina’s Sequencing Control Studio software version 2.8 (SCS v2.8) following real-time sequencing image analysis and base-calling by Illumina's Real-Time Analysis version 1.8.70 (RTA v1.8.70).
A proprietary pipeline script, ACGT101-miR v4.2 (LC Sciences), was used for sequencing data analysis.

source_name: blood derived monocyte extracellular vesicle

growth_protocol: Bicoll (14 mL, Biochrom) was overlayed by a mixture of DPBS (5 mL, Lonza) and buffy coat (30 mL), derived from healthy male donors. After centrifugation (20 min, 550 x g) the PBMC layer was washed with DPBS (5 min, 160 x g). Bicoll and wash steps were repeated twice. Afterwards the pellet was resuspended in IMDM (25 mL, Thermo Scientific) and used for overlaying Percoll (46%) (GE Healthcare Life Sciences) in IMDM. After centrifugation (20 min, 550 x g) the PBMC layer was washed with DPBS. Monocytes were selected according to the protocol of the human Pan Monocyte Isolation Kit (MiltenyiBiotec). Monocyte experiments were performed in complete medium composed of 10% FBS and gentamicin sulfate in IMDM (Thermo Fisher Scientific).

extract_protocol:
RNA was isolated from isolated EVs derived from infected (MOI 1:1) or control human monocytes using the exosomal RNA isolation kit (Norgen Biotek) according to manufacturer's protocol
A small RNA library was generated from a customer sample using the Illumina Truseq™ Small RNA Preparation kit according to Illumina’s TruSeq™ Small RNA Sample Preparation Guide

treatment_protocol: Blood derived monocytes were incubated with C. albcians for 1 h, extracellular vesicle were isolated, followed by isolation of RNA.

value: monocytes

value: incubated with C. albcians for 1 h


title: MEV

value: control


title: J2 PRE

city: Boston

first: William

middle: V

last: Trim

address: 25 Shuttack Street

department: Systems Biology

institute: Harvard Medical School

data_processing:
FastQ sequencing files were uploaded to the Galaxy web platform (usegalaxy.org) for quality control analysis.
Raw sequencing files were splice-aligned to the GRCh38/ hg38 reference genome using Hisat2 (Pertea et al., 2016), with a mapping distance <500 kb between reads.
Ensembl (Cambridge, UK) was used to annotate sequencing files against the reference genome (Cunningham et al., 2019).
Expression levels (fragments per kilobase of transcript per million mapped reads [FPKM]) were estimated using Stringtie (Pertea et al., 2015).
Differential expression analysis was undertaken using Cuffdiff v.7 (Trapnell et al., 2012) and Deseq2 (Love et al., 2014), using Gencode v.29 as the reference database (GRCh38.p12; (Frankish et al., 2018)).
Functional annotation analysis was performed in the database for annotation, visualisation, and integrated discovery (DAVID) 6.8 (2019 release; (Huang da et al., 2009b, a)) and Genesis 1.8.1 (Sturn et al., 2002).
Pathway analysis was performed using Kyoto encyclopaedia of genes and genomes (KEGG) and gene ontology (GO)-terms, using a modified Fisher exact test (EASE [expression analysis systematic explorer]; (Hosack et al., 2003)) with a significance threshold of p < 0.05.
Genome_build: GRCh38/ hg38
Supplementary_files_format_and_content: .xlsx files

source_name: Human adipose tissue

extract_protocol:
Pre- and post-bed rest subcutaneous adipose tissue samples were obtained from ~5 cm lateral to the umbilicus with a 14G needle using the needle aspiration method (28) under local anaesthesia (1 % Lidocaine hydrochloride containing 0.005 mg/ mL adrenaline; Xylocaine; Dublin, Ireland). Adipose tissue was taken following blood draws 6 days prior to the start of bed rest and following 56 days of bed rest. Adipose samples were cleared of visible connective tissue, blood, and vasculature prior to washing the remaining tissue with 0.9 % NaCl solution (B.Braun; Sheffield, UK) over a single-use sterile 100 µm gauze to minimise blood contamination. Tissue was snap frozen in liquid nitrogen until analysis.  Total RNA (including microRNAs) was extracted using miRNeasy Mini Kit (Qiagen; Crawley, UK) according to manufacturer instructions. Following RNA isolation, samples were DNase-treated in DNase I supplemented with 10 % DNase buffer (Qiagen; Crawley, UK) for 10 minutes at room temperature, and purified as previously described (30). Thirty microlitres of RNA at a set concentration of 2.1 µg/ 30 µL were used for transcriptomic analysis.
RNA-sequencing was performed on polyA-enriched total RNA, on a HiSeq4000 (Illumina, Inc.; California, US) by the Oxford Genomics Centre (Wellcome Trust; Oxford, UK). In brief, total RNA was quantified using RiboGreen (Invitrogen; California, US) on the FLUOstar OPTIMA plate reader (BMG Labtech GmbH; Aylesbury, UK) and the size profile and integrity analysed on the 2200 or 4200 TapeStation (Agilent, RNA ScreenTape [Agilent Technologies; California, US]). RIN estimates for all samples were between 4 and 8.4. Input material was normalised to 200 ng prior to library preparation.
Library preparation was completed using NEBNext Ultra II mRNA kit (New England Biolabs Inc.; Massachusetts, US) following manufacturer’s instructions. Libraries were amplified (11 cycles) on a Tetrad (Bio-Rad Laboratories; California, US) using in-house unique dual indexing primers (Lamble et al., 2013). Individual libraries were normalised using Qubit, and the size profile was analysed on the 2200 or 4200 TapeStation. Individual libraries were normalised and pooled together accordingly. The pooled library was diluted to ~10 nM for storage. The 10 nM library was denatured and further diluted prior to loading on the sequencer. Paired end sequencing was performed using a HiSeq4000 75 bp platform (Illumina, HiSeq 3000/4000 PE Cluster Kit and 150 cycle SBS Kit), generating a raw read count of >38.5 million reads per sample.

tag: site

value: Subcutaneous abdominal adipose tissue

value: Whole tissue (Adipose Tissue)

value: Untreated, rested healthy human sample


title: J1 PRE

tag: treatment


title: I1 PRE

tag: tissue


title: I2 PRE


title: Control 13C

description: Gene expression on fresh human blood


title: H1 PRE


title: H2 PRE


title: G1 PRE


title: Control 8C

description: Gene expression on fresh human blood


title: Type 1 diabetes patient 8D

description: Gene expression on fresh human blood


title: G2 PRE


title: Type 1 diabetes patient 12D

description: Gene expression on fresh human blood


title: F2 PRE


title: F1 PRE


title: Control 11C

description: Gene expression on fresh human blood


title: Control 12C

description: Gene expression on fresh human blood


title: Control 10C

description: Gene expression on fresh human blood


title: E2 PRE


title: E1 PRE


title: Control 3C

description: Gene expression on fresh human blood


title: D2 PRE


title: Control 9C

description: Gene expression on fresh human blood


title: C2 PRE


title: D1 PRE


title: Control 6C

description: Gene expression on fresh human blood


title: C1 PRE


title: Control 1C

description: Gene expression on fresh human blood


title: B2 PRE


title: B1 PRE


title: Control 4C

description: Gene expression on fresh human blood


title: A1 PRE


title: J2 POST


title: I2 POST


title: A2 PRE


title: J1 POST


title: I1 POST


title: H1 POST


title: H2 POST


title: Type 1 diabetes patient 14D

description: Gene expression on fresh human blood


title: G1 POST


title: G2 POST


title: F2 POST


title: F1 POST


title: E2 POST


title: E1 POST


title: D1 POST


title: C2 POST


title: D2 POST


title: C1 POST


title: Control 7C

description: Gene expression on fresh human blood


title: B2 POST


title: B1 POST


title: A2 POST


title: A1 POST

source_name: Human skeletal muscle

value: Vastus lateralis skeletal muscle, dominant leg

value: Whole tissue (Skeletal Muscle)


title: CD3

city: Shenyang

first: Yue

last: Tan

state: Liao Ning

address: 39 Huaxiang Road, Tiexi District

institute: Shengjing Hospital of China Medical University

data_processing:
Fastq files were aligned using STAR-2.7.1a
The indexed .bam file were generated by Samtools (1.10)
Alternative splicing events were identified and quantified using MISO version 0.5.4
Filteration were then applied using specific rules
Genome_build: hg19
Supplementary_files_format_and_content: significant regulated alternative splicing events in txts

source_name: Colon tissue

extract_protocol:
triozol RNA extraction
NEBNext Ultra RNA with Poly-A selection kit

tag: disease state

value: crohn's disease


title: CD4


title: CD2


title: Ctrl4


title: Ctrl2


title: Ctrl1


title: Ctrl3


title: CD1


title: PANC-1 si-MYEOV-1

city: Shanghai

first: Haiyang

last: Hu

address: 320 Yueyang Road

institute: PICB

description: expressed RNA after MYEOV siRNA transfection

data_processing:
Basecalling based on Illumina Casava1.7 software
After RNA sequencing reads quality checking, RNA-seq data were mapped to the human genome (hg19) using Hisat2 using default parameters
The gene expression abundance was estimated by counting number of reads mapped to the cognate gene exons using HTSeq
Genome_build: hg19 (human)
Supplementary_files_format_and_content: tab-delimited text files include gene ID and expression level in reads count for each sample

growth_protocol: AsPC-1 cells were cultured in Roswell Park Memorial Institute (RPMI) 1640 Medium supplemented with 10% fetal bovine serum (FBS) in a humidified incubator at 37°C with 5% CO2. PANC-1 cells were cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (FBS) in a humidified incubator at 37°C with 5% CO2.

extract_protocol:
Total RNAs was prepared 48 hours after siRNA transfection
A cDNA library was generated from polyA+ RNA according to the Illumina RNAseq protocol. The cDNA library was sequenced on an Illumina Hiseq4000 by a 2X150 bp run.

treatment_protocol: siRNAs against human MYEOV (Stealth RNAi, siMYEOV-1: HSS120166, siMYEOV-2: HSS120167) and the negative control (Stealth RNAi, siNC: #12935-300) were purchased from Life Technologies. Transfection was performed using lipfectamine 3000 (Invitrogen) according to the manufacturer’s protocol. In brief, AsPC-1 and PANC-1 cells were plated in six-well plate to 50-60% confluence. For each well, 5μL siRNA (20μM) was added into 250 μL Opti-MEM medium (GIBCO BRL), 5μL lipofectamine 3000 into 250 μL Opti-MEM medium, and then mixed siRNA with lipofectamine 3000. The mixture was added to cells and incubated for 6 hours before replacing the medium.

tag: cell line

value: human pancreatic cancer cell line


title: PANC-1 si-MYEOV-2


title: PANC-1 WT2

description: expressed RNA without treatment


title: PANC-1 si-MYEOV-3


title: PANC-1 WT3

description: expressed RNA without treatment


title: AsPC-1 si-MYEOV-3


title: AsPC-1 si-MYEOV-2


title: AsPC-1 si-MYEOV-1


title: AsPC-1 WT2

description: expressed RNA without treatment


title: PANC-1 WT1

description: expressed RNA without treatment


title: II-4_ RNAseq

city: Worcester

first: Yu

address: AS5-1018, 368 Plantation Street

department: Program in Systems Biology

institute: University of Massachusetts Medical School

data_processing:
Raw sequencing reads were processed and analyzed as previously reported (Liu et al., 2014). Gene ontology enrichment analysis was conducted by using DAVID (https://david.ncifcrf.gov/summary.jsp) and Enrichr (http://amp.pharm.mssm.edu/Enrichr/). The heatmap was generated using R gplots
Mapping onto hg19 genome using cMapping pipeline (cMapping : https://github.com/dekkerlab/cMapping)
Contact matrix, insulation score calling, heatmap generation and compartment calling using cWorld pipeline (cworlds-dekker : https://github.com/dekkerlab/cworld-dekker)
Genome_build: hg19
Supplementary_files_format_and_content: Expression profile
Supplementary_files_format_and_content: Hi-C insulation score profile
Supplementary_files_format_and_content: Hi-C contact matrix

source_name: B95-8 Epstein-Barr virus transformed lymphocytes from ps29

growth_protocol:
Fresh blood samples were collected from the individuals of the peripheral sclerocornea pedigree. Peripheral blood lymphocytes were isolated using Ficoll-Paque (GE Healthcare, Sweden). Isolated lymphocytes were transformed with B95-8 Epstein-Barr virus (VR-1492, ATCC, Manassas, VA, USA) according to the described protocol (Neitzel, 1986). During virus transformation, 2 µg/mL cyclosporin A (Sigma-Aldrich, St Louis, MI, USA) was added to the culture medium until cells formed a typical rosette morphology
LCLs were cultured with Iscove’s Modified Dulbecco’s Medium (IMDM) supplemented with 20% fetal bovine serum (FBS) and antibiotics (100 U/mL penicillin and 100 μg/mL streptomycin, Gibco, Langley, OK, USA) at 37 ºC in a 95% air-5% CO2 incubator.

extract_protocol:
Total RNAs were extracted from LCLs using RNeasy Mini Kit (Qiagen, Hilden, Germany)
RNA sequencing was conducted by Macrogen (Seoul, South Korea). The cDNA library was constructed using the Illumina TruSeq RNA sample preparation kit v2. RNA sequencing was conducted on Illumina HiSeq 2500
Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation. PMID: 28435001

value: Lymphoblastoid cells

tag: disease

value: peripheral sclerocornea


title: Nrf2KD2_R2

first: Sunan

last: Huang

address: NO.723, Xingke Road

institute: South China Botanical Garden

data_processing:
Raw reads of RNA-Seq were mapped to the GRCh37/hg19 genome assembly using STAR.
Uniquelly mapped reads were used to calculate gene counts.
TPM (transcripts per million) values of genes were calculated using RSEM.
Differentially expressed genes are identified through EdgeR.
Genome_build: GRCh37/hg19
Supplementary_files_format_and_content: All_samples_TPM_expression.txt' contains expression values (transcripts per million, TPM) of genes across all samples.

source_name: ARPE-19 cells

growth_protocol: ARPE-19 cells grown in 6-well plates to 90% confluence were wounded with a 200 μl plastic tip.

extract_protocol:
Total RNA was extracted using the RNeasy Mini Plus-kit (Qiagen, Inc., Gaithersburg, MD). RNA quality was confirmed using the Agilent Bioanalyzer (Agilent Technologies, Palo Alto, CA) and quantity was measured using Nanodrop or Qubit (both from ThermoFisher Scientific, Inc.).
Stranded RNA-seq library construction was carried out using 100 ng of RNA with the TruSeq Stranded mRNA Sample Preparation Kit (Illumina, San Diego, CA).
Libraries were paired-end sequenced to 126 bases using a HiSeq 2500 Sequencing System (Illumina).

treatment_protocol: incubating in fresh culture medium and photographed (x100 magnification) 24 h later with an EVOS Auto2 microscope.

value: ARPE-19 cells

tag: group

value: Nrf2 knockout

tag: biological replicate

tag: technical replicate


title: Nrf2KD3_R2


title: Nrf2KD3_R1


title: II-3_ RNAseq

source_name: B95-8 Epstein-Barr virus transformed lymphocytes from ps26

tag: protocol

value: Illumina TruSeq RNA sample preparation kit v2

tag: cell type


title: II-3_Hi-C

data_processing:
Library strategy: HiC-Seq
Raw sequencing reads were processed and analyzed as previously reported (Liu et al., 2014). Gene ontology enrichment analysis was conducted by using DAVID (https://david.ncifcrf.gov/summary.jsp) and Enrichr (http://amp.pharm.mssm.edu/Enrichr/). The heatmap was generated using R gplots
Mapping onto hg19 genome using cMapping pipeline (cMapping : https://github.com/dekkerlab/cMapping)
Contact matrix, insulation score calling, heatmap generation and compartment calling using cWorld pipeline (cworlds-dekker : https://github.com/dekkerlab/cworld-dekker)
Genome_build: hg19
Supplementary_files_format_and_content: Expression profile
Supplementary_files_format_and_content: Hi-C insulation score profile
Supplementary_files_format_and_content: Hi-C contact matrix

value: HiC 2.0

tag: enzyme for hi-c

value: Dpn II


title: II-5_Hi-C

source_name: B95-8 Epstein-Barr virus transformed lymphocytes from ps37


title: II-4_Hi-C


title: II-2_ RNAseq

source_name: B95-8 Epstein-Barr virus transformed lymphocytes from ps25


title: Control 2C

description: Gene expression on fresh human blood

value: Female

value: white

value: Healthy control


title: II-2_Hi-C


title: NrfPinkKD2_R2

value: Nrf2 and Pink1 double knockout


title: NrfPinkKD3_R1


title: Nrf2KD1_R1


title: Nrf2KD2_R1


title: NrfPinkKD2_R1


title: NrfPinkKD1_R2


title: NrfPinkKD1_R1


title: Pink1KD3_R2

value: Pink1 knockout


title: Pink1KD3_R1


title: Pink1KD2_R1


title: Pink1KD1_R2


title: NrfPinkKD3_R2


title: Pink1KD1_R1


title: AsPC-1 WT1

description: expressed RNA without treatment


title: Scramble3_R2

value: scramble


title: II-5_ RNAseq


title: Scramble3_R1


title: Scramble1_R2


title: Scramble2_R2


title: Scramble2_R1


title: Scramble1_R1


title: Nrf2KD1_R2


title: L25_DH02_069_TDAE_100

city: RTP

first: John

middle: S.

last: House

state: NC

address: 111 TW Alexander Drive

department: Biostatistics & Computational Biology Branch

institute: National Instititute of Environmental Health Sciences

description:
L25_DH02
Endo_normcounts.csv

data_processing:
pipeline run to convert reads to counts https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5672545/
samples with counts < 100 average reads per transcript removed
normalized counts generated by cell type in DESEQ2
Genome_build: NA – Targeted Reads by BioSpyder
Supplementary_files_format_and_content: 6 normalized count matrix files in CSV with genes as rows and columns as samples.  The sample information in the hashfile.csv

source_name: Endo

extract_protocol:
described in https://www.altex.org/index.php/altex/article/view/1994
described in https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178302

tag: tissue/celltype

value: iCell Endothelials

value: TDAE

tag: dose


title: L25_DF06_MethodBlank_0

description:
L25_DF06
Endo_normcounts.csv


title: L25_DE11_131_HFO_100

description:
L25_DE11
Endo_normcounts.csv

value: HFO


title: L25_DE07_007_HFO_100

description:
L25_DE07
Endo_normcounts.csv


title: L25_DH08_084_UATO_100

description:
L25_DH08
Endo_normcounts.csv

value: UATO


title: L25_DE09_012_CGO_100

description:
L25_DE09
Endo_normcounts.csv

value: CGO


title: L25_DE10_177_VHGO_100

description:
L25_DE10
Endo_normcounts.csv

value: VHGO


title: Pink1KD2_R2

value: ARPE-19 cells


title: Control 5C

description: Gene expression on fresh human blood

value: male

tag: ethnicity

tag: diagnosis


title: L25_DH10_172_SRGO_100

description:
L25_DH10
Endo_normcounts.csv

value: SRGO


title: L25_DE06_MethodBlank_0

description:
L25_DE06
Endo_normcounts.csv


title: L25_DD09_176_VHGO_100

description:
L25_DD09
Endo_normcounts.csv


title: L25_DD10_031_HFO_100

description:
L25_DD10
Endo_normcounts.csv


title: L25_DE05_173_OGO_100

description:
L25_DE05
Endo_normcounts.csv

value: OGO


title: L25_DD06_MethodBlank_0

description:
L25_DD06
Endo_normcounts.csv


title: L25_DE03_113_OLBO_100

description:
L25_DE03
Endo_normcounts.csv

value: BO


title: Type 1 diabetes patient 4D

description: Gene expression on fresh human blood

tag: gender

value: Male

value: Type 1 diabetes


title: L25_DD03_174_OGO_100

description:
L25_DD03
Endo_normcounts.csv


title: L25_DD11_189_BITUMEN_100

description:
L25_DD11
Endo_normcounts.csv

value: BIT


title: L25_DC05_134_HFO_10

description:
L25_DC05
Endo_normcounts.csv


title: L25_DC03_120_gasoline_10

description:
L25_DC03
Endo_normcounts.csv

value: NAPTHA


title: L25_DC10_188_SRGO_10

description:
L25_DC10
Endo_normcounts.csv


title: L25_DD02_020_HFO_100

description:
L25_DD02
Endo_normcounts.csv


title: L25_DB11_186_RAE_100

description:
L25_DB11
Endo_normcounts.csv

value: RAE


title: L25_DC08_175_VHGO_10

description:
L25_DC08
Endo_normcounts.csv


title: L25_DB10_171_SRGO_100

description:
L25_DB10
Endo_normcounts.csv


title: L25_DH09_175_VHGO_100

description:
L25_DH09
Endo_normcounts.csv


title: L25_DH11_185_RAE_100

description:
L25_DH11
Endo_normcounts.csv


title: L25_DB05_061_P_Hwax_100

description:
L25_DB05
Endo_normcounts.csv

value: WAX


title: L25_DB06_MethodBlank_0

description:
L25_DB06
Endo_normcounts.csv

value: iCell Endothelials


title: L25_DB07_168_SRGO_100

description:
L25_DB07
Endo_normcounts.csv


title: L25_DB08_146_gasoline_100

description:
L25_DB08
Endo_normcounts.csv


title: L25_DB04_117_OLBO_100

description:
L25_DB04
Endo_normcounts.csv


title: L25_DA11_028_HFO_100

description:
L25_DA11
Endo_normcounts.csv


title: L25_DE08_066_OLBO_100

description:
L25_DE08
Endo_normcounts.csv


title: L25_DA08_025_HFO_100

description:
L25_DA08
Endo_normcounts.csv


title: L25_DA05_138_OLBO_100

description:
L25_DA05
Endo_normcounts.csv


title: L25_DA10_085D_OLBO_100

description:
L25_DA10
Endo_normcounts.csv


title: L25_DA04_086_kerosine_100

description:
L25_DA04
Endo_normcounts.csv

value: KER


title: L25_CH10_172_SRGO_100

description:
L25_CH10
Endo_normcounts.csv


title: L25_CH11_185_RAE_100

description:
L25_CH11
Endo_normcounts.csv


title: L25_CH09_175_VHGO_100

description:
L25_CH09
Endo_normcounts.csv


title: L25_DA02_160_FO_100

description:
L25_DA02
Endo_normcounts.csv

value: FO


title: L25_CH08_084_UATO_100

description:
L25_CH08
Endo_normcounts.csv

value: UATO


title: L25_CH04_149_OLBO_100

description:
L25_CH04
Endo_normcounts.csv


title: L25_CG10_139_OLBO_100

description:
L25_CG10
Endo_normcounts.csv


title: L25_CG09_056_gasoline_100

description:
L25_CG09
Endo_normcounts.csv


title: L25_CG05_183_VHGOa_100

description:
L25_CG05
Endo_normcounts.csv


title: L25_CF06_MethodBlank_0

description:
L25_CF06
Endo_normcounts.csv


title: L25_CG11_078_HFO_100

description:
L25_CG11
Endo_normcounts.csv

value: HFO


title: L25_CE11_131_HFO_100

description:
L25_CE11
Endo_normcounts.csv


title: L25_CE10_177_VHGO_100

description:
L25_CE10
Endo_normcounts.csv

value: VHGO


title: L25_CE09_012_CGO_100

description:
L25_CE09
Endo_normcounts.csv

value: CGO


title: L25_CE06_MethodBlank_0

description:
L25_CE06
Endo_normcounts.csv


title: L25_CE08_066_OLBO_100

description:
L25_CE08
Endo_normcounts.csv


title: L25_CE05_173_OGO_100

description:
L25_CE05
Endo_normcounts.csv


title: L25_CE07_007_HFO_100

description:
L25_CE07
Endo_normcounts.csv


title: L25_CD07_024_HFO_100

description:
L25_CD07
Endo_normcounts.csv


title: L25_CD12_034_HFO_100

description:
L25_CD12
Endo_normcounts.csv


title: L25_CD10_031_HFO_100

description:
L25_CD10
Endo_normcounts.csv


title: L25_CD11_189_BITUMEN_100

description:
L25_CD11
Endo_normcounts.csv


title: L25_CD05_112_OLBO_100

description:
L25_CD05
Endo_normcounts.csv


title: L25_DB02_011_kerosine_100

description:
L25_DB02
Endo_normcounts.csv


title: L25_DB03_147_OLBO_100

description:
L25_DB03
Endo_normcounts.csv


title: L25_DA03_062_P_Hwax_100

description:
L25_DA03
Endo_normcounts.csv


title: L25_CD02_020_HFO_100

description:
L25_CD02
Endo_normcounts.csv


title: L25_CD03_174_OGO_100

description:
L25_CD03
Endo_normcounts.csv


title: L25_CD06_MethodBlank_0

description:
L25_CD06
Endo_normcounts.csv


title: L25_CD04_137_OLBO_100

description:
L25_CD04
Endo_normcounts.csv


title: L25_DA07_018_HFO_100

description:
L25_DA07
Endo_normcounts.csv


title: L25_CC08_175_VHGO_10

description:
L25_CC08
Endo_normcounts.csv


title: L25_CB11_186_RAE_100

description:
L25_CB11
Endo_normcounts.csv


title: L25_CB08_146_gasoline_100

description:
L25_CB08
Endo_normcounts.csv


title: L25_CC06_MethodBlank_0

description:
L25_CC06
Endo_normcounts.csv


title: L25_CC10_188_SRGO_10

description:
L25_CC10
Endo_normcounts.csv


title: L25_CH06_MethodBlank_0

description:
L25_CH06
Endo_normcounts.csv


title: L25_CC05_134_HFO_10

description:
L25_CC05
Endo_normcounts.csv


title: L25_CH05_085C_OLBO_100

description:
L25_CH05
Endo_normcounts.csv


title: L25_CB07_168_SRGO_100

description:
L25_CB07
Endo_normcounts.csv


title: L25_CB06_MethodBlank_0

description:
L25_CB06
Endo_normcounts.csv


title: L25_CB05_061_P_Hwax_100

description:
L25_CB05
Endo_normcounts.csv


title: L25_CB02_011_kerosine_100

description:
L25_CB02
Endo_normcounts.csv


title: L25_CB04_117_OLBO_100

description:
L25_CB04
Endo_normcounts.csv


title: L25_CA11_028_HFO_100

description:
L25_CA11
Endo_normcounts.csv


title: L25_CB03_147_OLBO_100

description:
L25_CB03
Endo_normcounts.csv


title: L25_CA07_018_HFO_100

description:
L25_CA07
Endo_normcounts.csv


title: L25_BH06_MethodBlank_0

description:
L25_BH06
Endo_normcounts.csv


title: L25_CA05_138_OLBO_100

description:
L25_CA05
Endo_normcounts.csv


title: L25_CA10_085D_OLBO_100

description:
L25_CA10
Endo_normcounts.csv


title: L25_BG11_058_HFO_100

description:
L25_BG11
Endo_normcounts.csv


title: L25_CA08_025_HFO_100

description:
L25_CA08
Endo_normcounts.csv


title: L25_CD09_176_VHGO_100

description:
L25_CD09
Endo_normcounts.csv


title: L25_BG03_153_OLBO_100

description:
L25_BG03
Endo_normcounts.csv


title: L25_BG04_106_CGO_100

description:
L25_BG04
Endo_normcounts.csv


title: L25_BG08_102_CGO_100

description:
L25_BG08
Endo_normcounts.csv


title: L25_BF10_070_CGO_100

description:
L25_BF10
Endo_normcounts.csv


title: L25_BG02_202_Paraffinwax_100

description:
L25_BG02
Endo_normcounts.csv


title: L25_BF08_148_OLBO_100

description:
L25_BF08
Endo_normcounts.csv


title: L25_BG09_170_SRGO_100

description:
L25_BG09
Endo_normcounts.csv


title: L25_BG10_123_kerosine_100

description:
L25_BG10
Endo_normcounts.csv


title: L25_CB10_171_SRGO_100

description:
L25_CB10
Endo_normcounts.csv


title: L25_BF03_178_VHGO_100

description:
L25_BF03
Endo_normcounts.csv


title: L25_BG06_MethodBlank_0

description:
L25_BG06
Endo_normcounts.csv


title: L25_BF07_114_OLBO_100

description:
L25_BF07
Endo_normcounts.csv


title: L25_BF05_196_petrolatum_100

description:
L25_BF05
Endo_normcounts.csv


title: L25_BG01_121_CGO_100

description:
L25_BG01
Endo_normcounts.csv


title: L25_BF04_197_HFO_100

description:
L25_BF04
Endo_normcounts.csv


title: L25_BF02_132_gasoline_100

description:
L25_BF02
Endo_normcounts.csv


title: L25_BF09_096B_UDAE_100

description:
L25_BF09
Endo_normcounts.csv

value: UDAE


title: L25_BF06_MethodBlank_0

description:
L25_BF06
Endo_normcounts.csv


title: L25_BF01_075_OLBO_100

description:
L25_BF01
Endo_normcounts.csv


title: L25_BE10_188_SRGO_1

description:
L25_BE10
Endo_normcounts.csv

value: SRGO


title: L25_BE09_175_VHGO_100

description:
L25_BE09
Endo_normcounts.csv


title: L25_BE08_175_VHGO_1

description:
L25_BE08
Endo_normcounts.csv


title: L25_BE05_134_HFO_1

description:
L25_BE05
Endo_normcounts.csv


title: L25_BE07_134_HFO_100

description:
L25_BE07
Endo_normcounts.csv


title: L25_BE06_MethodBlank_0

description:
L25_BE06
Endo_normcounts.csv


title: L25_BE04_120_gasoline_100

description:
L25_BE04
Endo_normcounts.csv


title: L25_BE02_092_OLBO_100

description:
L25_BE02
Endo_normcounts.csv


title: L25_BD05_168_SRGO_100

description:
L25_BD05
Endo_normcounts.csv


title: L25_BD01_184_VHGO_100

description:
L25_BD01
Endo_normcounts.csv


title: L25_BD03_020_HFO_100

description:
L25_BD03
Endo_normcounts.csv


title: L25_BC11_193_OXASPH_100

description:
L25_BC11
Endo_normcounts.csv


title: L25_BC10_182_VHGO_100

description:
L25_BC10
Endo_normcounts.csv


title: L25_BC09_120_gasoline_100

description:
L25_BC09
Endo_normcounts.csv


title: L25_BD02_091_HFO_100

description:
L25_BD02
Endo_normcounts.csv


title: L25_BC01_179_VHGO_100

description:
L25_BC01
Endo_normcounts.csv


title: L25_BC06_MethodBlank_0

description:
L25_BC06
Endo_normcounts.csv


title: L25_BC08_130_CGO_100

description:
L25_BC08
Endo_normcounts.csv


title: L25_BC02_145_HRBO_100

description:
L25_BC02
Endo_normcounts.csv


title: L25_BB11_115_OLBO_100

description:
L25_BB11
Endo_normcounts.csv


title: L25_BC07_150_OLBO_100

description:
L25_BC07
Endo_normcounts.csv


title: L25_BC05_140_OLBO_100

description:
L25_BC05
Endo_normcounts.csv


title: L25_BB10_085B_OLBO_100

description:
L25_BB10
Endo_normcounts.csv


title: L25_BB07_166_HFO_100

description:
L25_BB07
Endo_normcounts.csv


title: L25_BB09_190_BITUMENS_100

description:
L25_BB09
Endo_normcounts.csv


title: L25_BB05_091_HFO_100

description:
L25_BB05
Endo_normcounts.csv


title: L25_BA06_MethodBlank_0

description:
L25_BA06
Endo_normcounts.csv


title: L25_BE11_188_SRGO_100

description:
L25_BE11
Endo_normcounts.csv


title: L25_BA02_134_HFO_100

description:
L25_BA02
Endo_normcounts.csv


title: L25_AH10_067_P_Hwax_100

description:
L25_AH10
Endo_normcounts.csv


title: L25_AH11_090_FO_100

description:
L25_AH11
Endo_normcounts.csv


title: L25_AH09_079_HFO_100

description:
L25_AH09
Endo_normcounts.csv


title: L25_AH07_021_HFO_100

description:
L25_AH07
Endo_normcounts.csv


title: L25_BD06_MethodBlank_0

description:
L25_BD06
Endo_normcounts.csv


title: L25_AH06_MethodBlank_0

description:
L25_AH06
Endo_normcounts.csv


title: L25_BD04_177_VHGO_100

description:
L25_BD04
Endo_normcounts.csv


title: L25_BB08_071_HFO_100

description:
L25_BB08
Endo_normcounts.csv


title: L25_AH04_128_kerosine_100

description:
L25_AH04
Endo_normcounts.csv


title: L25_AH02_119_OLBO_100

description:
L25_AH02
Endo_normcounts.csv


title: L25_AH01_195_UDAE_100

description:
L25_AH01
Endo_normcounts.csv


title: L25_AG08_108_OLBO_100

description:
L25_AG08
Endo_normcounts.csv


title: L25_AH03_060_OLBO_100

description:
L25_AH03
Endo_normcounts.csv


title: L25_AG09_104_kerosine_100

description:
L25_AG09
Endo_normcounts.csv


title: L25_AG11_191_BITUMEN_100

description:
L25_AG11
Endo_normcounts.csv


title: L25_AG07_136_slackwax_100

description:
L25_AG07
Endo_normcounts.csv


title: L25_AG05_135_TDAE_100

description:
L25_AG05
Endo_normcounts.csv

value: TDAE


title: L25_AG01_118_OLBO_100

description:
L25_AG01
Endo_normcounts.csv

value: BO


title: L25_AG04_181_VHGO_100

description:
L25_AG04
Endo_normcounts.csv


title: L25_AG03_017_HFO_100

description:
L25_AG03
Endo_normcounts.csv


title: L25_BB06_MethodBlank_0

description:
L25_BB06
Endo_normcounts.csv


title: L25_AF06_MethodBlank_0

description:
L25_AF06
Endo_normcounts.csv


title: L25_AG02_187_2__OGO_100

description:
L25_AG02
Endo_normcounts.csv

value: OGO


title: L25_BB03_188_SRGO_100

description:
L25_BB03
Endo_normcounts.csv


title: L25_AF05_183_VHGOa_100

description:
L25_AF05
Endo_normcounts.csv


title: L25_AF04_192_BITUMENS_100

description:
L25_AF04
Endo_normcounts.csv


title: L25_AF03_076_gasoline_100

description:
L25_AF03
Endo_normcounts.csv


title: L25_AE11_124_gasoline_100

description:
L25_AE11
Endo_normcounts.csv


title: L25_AE09_092_OLBO_100

description:
L25_AE09
Endo_normcounts.csv


title: L25_AE10_085A_OLBO_100

description:
L25_AE10
Endo_normcounts.csv


title: L25_AE08_107_P_Hwax_100

description:
L25_AE08
Endo_normcounts.csv


title: L25_AE07_087_kerosine_100

description:
L25_AE07
Endo_normcounts.csv


title: L25_AE06_MethodBlank_0

description:
L25_AE06
Endo_normcounts.csv


title: L25_AH05_096A_UDAE_100

description:
L25_AH05
Endo_normcounts.csv


title: L25_AE05_065_P_Hwax_100

description:
L25_AE05
Endo_normcounts.csv


title: L25_AE03_076_gasoline_100

description:
L25_AE03
Endo_normcounts.csv


title: L25_AE01_169_SRGO_100

description:
L25_AE01
Endo_normcounts.csv


title: L25_AG10_164_HFO_100

description:
L25_AG10
Endo_normcounts.csv


title: L25_AD09_093_petrolatum_100

description:
L25_AD09
Endo_normcounts.csv


title: L25_AE04_141_gasoline_100

description:
L25_AE04
Endo_normcounts.csv


title: L25_AD10_089_UDAE_100

description:
L25_AD10
Endo_normcounts.csv


title: L25_AD11_050_HFO_100

description:
L25_AD11
Endo_normcounts.csv


title: L25_AD08_103_gasoline_100

description:
L25_AD08
Endo_normcounts.csv


title: L25_AG06_MethodBlank_0

description:
L25_AG06
Endo_normcounts.csv


title: L25_AD07_008_HFO_100

description:
L25_AD07
Endo_normcounts.csv


title: L25_AD01_081_OLBO_100

description:
L25_AD01
Endo_normcounts.csv


title: L25_AD06_MethodBlank_0

description:
L25_AD06
Endo_normcounts.csv


title: L25_AD02_127_slackwax_100

description:
L25_AD02
Endo_normcounts.csv


title: L25_AD05_074_OLBO_100

description:
L25_AD05
Endo_normcounts.csv


title: L25_AB11_063_P_Hwax_100

description:
L25_AB11
Endo_normcounts.csv


title: L25_AB10_083_UATO_100

description:
L25_AB10
Endo_normcounts.csv


title: L25_AC06_MethodBlank_0

description:
L25_AC06
Endo_normcounts.csv


title: L25_AC02_134_HFO_10

description:
L25_AC02
Endo_normcounts.csv


title: L25_AB08_080_HFO_100

description:
L25_AB08
Endo_normcounts.csv


title: L25_AB07_129_HFO_100

description:
L25_AB07
Endo_normcounts.csv


title: L25_AF02_083_UATO_100

description:
L25_AF02
Endo_normcounts.csv


title: L25_AB05_059_dieselfuel_100

description:
L25_AB05
Endo_normcounts.csv


title: L25_AB04_155_HFO_100

description:
L25_AB04
Endo_normcounts.csv


title: L25_AB02_009_gasoline_100

description:
L25_AB02
Endo_normcounts.csv


title: L25_AB01_041_CGO_100

description:
L25_AB01
Endo_normcounts.csv


title: L25_AA10_180_VHGO_100

description:
L25_AA10
Endo_normcounts.csv


title: L25_AA09_082_UATO_100

description:
L25_AA09
Endo_normcounts.csv


title: L25_AB03_184_VHGO_100

description:
L25_AB03
Endo_normcounts.csv


title: L25_AA06_MethodBlank_0

description:
L25_AA06
Endo_normcounts.csv


title: L25_AA05_151_OLBO_100

description:
L25_AA05
Endo_normcounts.csv


title: L24_DH06_MethodBlank_0

description:
L24_DH06
Endo_normcounts.csv


title: L24_DG11_058_HFO_100

description:
L24_DG11
Endo_normcounts.csv


title: L24_DG10_123_kerosine_100

description:
L24_DG10
Endo_normcounts.csv


title: L25_AA03_043_kerosine_100

description:
L25_AA03
Endo_normcounts.csv


title: L24_DG08_102_CGO_100

description:
L24_DG08
Endo_normcounts.csv


title: L24_DF10_070_CGO_100

description:
L24_DF10
Endo_normcounts.csv


title: L24_DG03_153_OLBO_100

description:
L24_DG03
Endo_normcounts.csv


title: L24_DE11_188_SRGO_100

description:
L24_DE11
Endo_normcounts.csv


title: L24_DG06_MethodBlank_0

description:
L24_DG06
Endo_normcounts.csv


title: L24_DG02_202_Paraffinwax_100

description:
L24_DG02
Endo_normcounts.csv


title: L24_DG09_170_SRGO_100

description:
L24_DG09
Endo_normcounts.csv


title: L24_DF08_148_OLBO_100

description:
L24_DF08
Endo_normcounts.csv


title: L24_DE09_175_VHGO_100

description:
L24_DE09
Endo_normcounts.csv


title: L25_AB09_187_1__OGO_100

description:
L25_AB09
Endo_normcounts.csv


title: L24_DE10_188_SRGO_1

description:
L24_DE10
Endo_normcounts.csv


title: L24_DE08_175_VHGO_1

description:
L24_DE08
Endo_normcounts.csv


title: L24_DE06_MethodBlank_0

description:
L24_DE06
Endo_normcounts.csv


title: L24_DE05_134_HFO_1

description:
L24_DE05
Endo_normcounts.csv


title: L24_DE04_120_gasoline_100

description:
L24_DE04
Endo_normcounts.csv


title: L24_DE03_120_gasoline_1

description:
L24_DE03
Endo_normcounts.csv


title: L25_AB06_MethodBlank_0

description:
L25_AB06
Endo_normcounts.csv


title: L24_DD06_MethodBlank_0

description:
L24_DD06
Endo_normcounts.csv


title: L24_DD05_168_SRGO_100

description:
L24_DD05
Endo_normcounts.csv


title: L24_DD04_177_VHGO_100

description:
L24_DD04
Endo_normcounts.csv


title: L24_DD03_020_HFO_100

description:
L24_DD03
Endo_normcounts.csv


title: L24_DE02_092_OLBO_100

description:
L24_DE02
Endo_normcounts.csv


title: L24_DD02_091_HFO_100

description:
L24_DD02
Endo_normcounts.csv


title: L24_DC11_193_OXASPH_100

description:
L24_DC11
Endo_normcounts.csv


title: L25_AA08_006_HFO_100

description:
L25_AA08
Endo_normcounts.csv


title: L24_DC09_120_gasoline_100

description:
L24_DC09
Endo_normcounts.csv


title: L24_DC10_182_VHGO_100

description:
L24_DC10
Endo_normcounts.csv


title: L24_DC06_MethodBlank_0

description:
L24_DC06
Endo_normcounts.csv


title: L25_AA01_016_kerosine_100

description:
L25_AA01
Endo_normcounts.csv


title: L24_DC05_140_OLBO_100

description:
L24_DC05
Endo_normcounts.csv


title: L24_DB11_115_OLBO_100

description:
L24_DB11
Endo_normcounts.csv


title: L24_DC02_145_HRBO_100

description:
L24_DC02
Endo_normcounts.csv


title: L24_DB07_166_HFO_100

description:
L24_DB07
Endo_normcounts.csv


title: L24_DB06_MethodBlank_0

description:
L24_DB06
Endo_normcounts.csv


title: L24_DB08_071_HFO_100

description:
L24_DB08
Endo_normcounts.csv


title: L24_DB05_091_HFO_100

description:
L24_DB05
Endo_normcounts.csv


title: L24_DB10_085B_OLBO_100

description:
L24_DB10
Endo_normcounts.csv


title: L24_DA06_MethodBlank_0

description:
L24_DA06
Endo_normcounts.csv


title: L24_DB03_188_SRGO_100

description:
L24_DB03
Endo_normcounts.csv


title: L24_DB09_190_BITUMENS_100

description:
L24_DB09
Endo_normcounts.csv


title: L24_CH11_185_RAE_10

description:
L24_CH11
Endo_normcounts.csv


title: L24_CH10_172_SRGO_10

description:
L24_CH10
Endo_normcounts.csv


title: L24_DA02_134_HFO_100

description:
L24_DA02
Endo_normcounts.csv


title: L24_CH08_084_UATO_10

description:
L24_CH08
Endo_normcounts.csv


title: L24_CH06_MethodBlank_0

description:
L24_CH06
Endo_normcounts.csv


title: L24_CH09_175_VHGO_10

description:
L24_CH09
Endo_normcounts.csv


title: L24_CH05_085C_OLBO_10

description:
L24_CH05
Endo_normcounts.csv


title: L24_CG09_056_gasoline_10

description:
L24_CG09
Endo_normcounts.csv


title: L24_CG06_MethodBlank_0

description:
L24_CG06
Endo_normcounts.csv


title: L24_CG04_073_OLBO_10

description:
L24_CG04
Endo_normcounts.csv


title: L24_CG05_183_VHGOa_10

description:
L24_CG05
Endo_normcounts.csv


title: L24_CH04_149_OLBO_10

description:
L24_CH04
Endo_normcounts.csv


title: L24_CG11_078_HFO_10

description:
L24_CG11
Endo_normcounts.csv


title: L24_CF06_MethodBlank_0

description:
L24_CF06
Endo_normcounts.csv


title: L24_CG03_072_OLBO_10

description:
L24_CG03
Endo_normcounts.csv


title: L24_CE09_012_CGO_10

description:
L24_CE09
Endo_normcounts.csv


title: L24_CE07_007_HFO_10

description:
L24_CE07
Endo_normcounts.csv


title: L24_CE11_131_HFO_10

description:
L24_CE11
Endo_normcounts.csv


title: L24_CE08_066_OLBO_10

description:
L24_CE08
Endo_normcounts.csv


title: L24_CD09_176_VHGO_10

description:
L24_CD09
Endo_normcounts.csv


title: L24_DC07_150_OLBO_100

description:
L24_DC07
Endo_normcounts.csv


title: L24_CD05_112_OLBO_10

description:
L24_CD05
Endo_normcounts.csv


title: L24_CD12_034_HFO_10

description:
L24_CD12
Endo_normcounts.csv


title: L24_CD06_MethodBlank_0

description:
L24_CD06
Endo_normcounts.csv


title: L24_CC10_188_SRGO_10

description:
L24_CC10
Endo_normcounts.csv


title: L24_CD04_137_OLBO_10

description:
L24_CD04
Endo_normcounts.csv


title: L24_CD11_189_BITUMEN_10

description:
L24_CD11
Endo_normcounts.csv


title: L24_CC06_MethodBlank_0

description:
L24_CC06
Endo_normcounts.csv


title: L24_CD10_031_HFO_10

description:
L24_CD10
Endo_normcounts.csv


title: L24_CC03_120_gasoline_10

description:
L24_CC03
Endo_normcounts.csv


title: L24_CC05_134_HFO_10

description:
L24_CC05
Endo_normcounts.csv


title: L24_CC08_175_VHGO_10

description:
L24_CC08
Endo_normcounts.csv


title: L24_CC01_092_OLBO_10

description:
L24_CC01
Endo_normcounts.csv


title: L24_CB10_171_SRGO_10

description:
L24_CB10
Endo_normcounts.csv


title: L24_CB11_186_RAE_10

description:
L24_CB11
Endo_normcounts.csv


title: L24_CB08_146_gasoline_10

description:
L24_CB08
Endo_normcounts.csv


title: L24_CB06_MethodBlank_0

description:
L24_CB06
Endo_normcounts.csv


title: L24_CB04_117_OLBO_10

description:
L24_CB04
Endo_normcounts.csv


title: L24_CA11_028_HFO_10

description:
L24_CA11
Endo_normcounts.csv


title: L24_CB05_061_P_Hwax_10

description:
L24_CB05
Endo_normcounts.csv


title: L24_CB07_168_SRGO_10

description:
L24_CB07
Endo_normcounts.csv


title: L24_CA08_025_HFO_10

description:
L24_CA08
Endo_normcounts.csv


title: L24_CB01_152_slackwax_10

description:
L24_CB01
Endo_normcounts.csv


title: L24_CA07_018_HFO_10

description:
L24_CA07
Endo_normcounts.csv


title: L24_CA10_085D_OLBO_10

description:
L24_CA10
Endo_normcounts.csv


title: L24_CA05_138_OLBO_10

description:
L24_CA05
Endo_normcounts.csv


title: L24_CA04_086_kerosine_10

description:
L24_CA04
Endo_normcounts.csv


title: L24_CA01_046_gasoline_10

description:
L24_CA01
Endo_normcounts.csv


title: L24_BG11_058_HFO_10

description:
L24_BG11
Endo_normcounts.csv


title: L24_BG10_123_kerosine_10

description:
L24_BG10
Endo_normcounts.csv


title: L24_CA03_062_P_Hwax_10

description:
L24_CA03
Endo_normcounts.csv


title: L24_BG09_170_SRGO_10

description:
L24_BG09
Endo_normcounts.csv


title: L24_BG08_102_CGO_10

description:
L24_BG08
Endo_normcounts.csv


title: L24_BG06_MethodBlank_0

description:
L24_BG06
Endo_normcounts.csv


title: L24_BG02_202_Paraffinwax_10

description:
L24_BG02
Endo_normcounts.csv


title: L24_BG01_121_CGO_10

description:
L24_BG01
Endo_normcounts.csv


title: L24_BE10_188_SRGO_1

description:
L24_BE10
Endo_normcounts.csv


title: L24_BE09_175_VHGO_100

description:
L24_BE09
Endo_normcounts.csv


title: L24_BE07_134_HFO_100

description:
L24_BE07
Endo_normcounts.csv


title: L24_BE06_MethodBlank_0

description:
L24_BE06
Endo_normcounts.csv


title: L24_BE11_188_SRGO_100

description:
L24_BE11
Endo_normcounts.csv


title: L24_BE05_134_HFO_1

description:
L24_BE05
Endo_normcounts.csv


title: L24_CA06_MethodBlank_0

description:
L24_CA06
Endo_normcounts.csv


title: L24_BC07_150_OLBO_10

description:
L24_BC07
Endo_normcounts.csv


title: L24_BD06_MethodBlank_0

description:
L24_BD06
Endo_normcounts.csv


title: L24_BE04_120_gasoline_100

description:
L24_BE04
Endo_normcounts.csv


title: L24_BE03_120_gasoline_1

description:
L24_BE03
Endo_normcounts.csv


title: L24_BD04_177_VHGO_10

description:
L24_BD04
Endo_normcounts.csv


title: L24_BC04_036_OLBO_10

description:
L24_BC04
Endo_normcounts.csv


title: L24_BC01_179_VHGO_10

description:
L24_BC01
Endo_normcounts.csv


title: L24_BE01_092_OLBO_1

description:
L24_BE01
Endo_normcounts.csv


title: L24_BD05_168_SRGO_10

description:
L24_BD05
Endo_normcounts.csv


title: L24_BC08_130_CGO_10

description:
L24_BC08
Endo_normcounts.csv


title: L24_BC09_120_gasoline_10

description:
L24_BC09
Endo_normcounts.csv


title: L24_BC10_182_VHGO_10

description:
L24_BC10
Endo_normcounts.csv


title: L24_BC05_140_OLBO_10

description:
L24_BC05
Endo_normcounts.csv


title: L24_BB09_190_BITUMENS_10

description:
L24_BB09
Endo_normcounts.csv


title: L24_CD01_003_CGO_10

description:
L24_CD01
Endo_normcounts.csv


title: L24_BB07_166_HFO_10

description:
L24_BB07
Endo_normcounts.csv


title: L24_BH06_MethodBlank_0

description:
L24_BH06
Endo_normcounts.csv


title: L24_BB06_MethodBlank_0

description:
L24_BB06
Endo_normcounts.csv


title: L24_BB05_091_HFO_10

description:
L24_BB05
Endo_normcounts.csv


title: L24_BC11_193_OXASPH_10

description:
L24_BC11
Endo_normcounts.csv


title: L24_BB08_071_HFO_10

description:
L24_BB08
Endo_normcounts.csv


title: L24_BB03_188_SRGO_10

description:
L24_BB03
Endo_normcounts.csv


title: L24_BE08_175_VHGO_1

description:
L24_BE08
Endo_normcounts.csv


title: L24_BB01_154_OLBO_10

description:
L24_BB01
Endo_normcounts.csv


title: L24_BE02_092_OLBO_100

description:
L24_BE02
Endo_normcounts.csv


title: L24_BA06_MethodBlank_0

description:
L24_BA06
Endo_normcounts.csv


title: L24_BD02_091_HFO_10

description:
L24_BD02
Endo_normcounts.csv


title: L24_AH11_090_FO_10

description:
L24_AH11
Endo_normcounts.csv


title: L24_AG11_191_BITUMEN_10

description:
L24_AG11
Endo_normcounts.csv


title: L24_AG05_135_TDAE_10

description:
L24_AG05
Endo_normcounts.csv


title: L24_AH02_119_OLBO_10

description:
L24_AH02
Endo_normcounts.csv


title: L24_AG08_108_OLBO_10

description:
L24_AG08
Endo_normcounts.csv


title: L24_AG09_104_kerosine_10

description:
L24_AG09
Endo_normcounts.csv


title: L24_AG10_164_HFO_10

description:
L24_AG10
Endo_normcounts.csv


title: L24_AH10_067_P_Hwax_10

description:
L24_AH10
Endo_normcounts.csv


title: L24_AG02_187_2__OGO_10

description:
L24_AG02
Endo_normcounts.csv


title: L24_AH05_096A_UDAE_10

description:
L24_AH05
Endo_normcounts.csv


title: L24_AG07_136_slackwax_10

description:
L24_AG07
Endo_normcounts.csv


title: L24_AH07_021_HFO_10

description:
L24_AH07
Endo_normcounts.csv


title: L24_AH04_128_kerosine_10

description:
L24_AH04
Endo_normcounts.csv


title: L24_BC06_MethodBlank_0

description:
L24_BC06
Endo_normcounts.csv


title: L24_AH01_195_UDAE_10

description:
L24_AH01
Endo_normcounts.csv


title: L24_AH06_MethodBlank_0

description:
L24_AH06
Endo_normcounts.csv


title: L24_AH09_079_HFO_10

description:
L24_AH09
Endo_normcounts.csv


title: L24_AG03_017_HFO_10

description:
L24_AG03
Endo_normcounts.csv


title: L24_AG06_MethodBlank_0

description:
L24_AG06
Endo_normcounts.csv


title: L24_AH03_060_OLBO_10

description:
L24_AH03
Endo_normcounts.csv


title: L24_AF06_MethodBlank_0

description:
L24_AF06
Endo_normcounts.csv


title: L24_BB10_085B_OLBO_10

description:
L24_BB10
Endo_normcounts.csv


title: L24_AG01_118_OLBO_10

description:
L24_AG01
Endo_normcounts.csv


title: L24_BB11_115_OLBO_10

description:
L24_BB11
Endo_normcounts.csv


title: L24_AF05_183_VHGOa_10

description:
L24_AF05
Endo_normcounts.csv


title: L24_AF04_192_BITUMENS_10

description:
L24_AF04
Endo_normcounts.csv


title: L24_AF03_076_gasoline_10

description:
L24_AF03
Endo_normcounts.csv


title: L24_AF02_083_UATO_10

description:
L24_AF02
Endo_normcounts.csv


title: L24_AF01_043_kerosine_10

description:
L24_AF01
Endo_normcounts.csv


title: L24_AE11_124_gasoline_10

description:
L24_AE11
Endo_normcounts.csv


title: L24_AE10_085A_OLBO_10

description:
L24_AE10
Endo_normcounts.csv


title: L24_AE09_092_OLBO_10

description:
L24_AE09
Endo_normcounts.csv


title: L24_AE08_107_P_Hwax_10

description:
L24_AE08
Endo_normcounts.csv


title: L24_AE07_087_kerosine_10

description:
L24_AE07
Endo_normcounts.csv


title: L24_AD09_093_petrolatum_10

description:
L24_AD09
Endo_normcounts.csv


title: L24_AG04_181_VHGO_10

description:
L24_AG04
Endo_normcounts.csv


title: L24_AB10_083_UATO_10

description:
L24_AB10
Endo_normcounts.csv


title: L24_AD11_050_HFO_10

description:
L24_AD11
Endo_normcounts.csv


title: L24_AB08_080_HFO_10

description:
L24_AB08
Endo_normcounts.csv


title: L24_AE01_169_SRGO_10

description:
L24_AE01
Endo_normcounts.csv


title: L24_AD05_074_OLBO_10

description:
L24_AD05
Endo_normcounts.csv


title: L24_AD07_008_HFO_10

description:
L24_AD07
Endo_normcounts.csv


title: L24_AB11_063_P_Hwax_10

description:
L24_AB11
Endo_normcounts.csv


title: L24_AB09_187_1__OGO_10

description:
L24_AB09
Endo_normcounts.csv


title: L24_AD08_103_gasoline_10

description:
L24_AD08
Endo_normcounts.csv


title: L24_AD06_MethodBlank_0

description:
L24_AD06
Endo_normcounts.csv


title: L24_AC06_MethodBlank_0

description:
L24_AC06
Endo_normcounts.csv


title: L24_AC02_134_HFO_10

description:
L24_AC02
Endo_normcounts.csv


title: L24_AD02_127_slackwax_10

description:
L24_AD02
Endo_normcounts.csv


title: L24_AE04_141_gasoline_10

description:
L24_AE04
Endo_normcounts.csv


title: L24_AB07_129_HFO_10

description:
L24_AB07
Endo_normcounts.csv


title: L24_AB06_MethodBlank_0

description:
L24_AB06
Endo_normcounts.csv


title: L24_AB05_059_dieselfuel_10

description:
L24_AB05
Endo_normcounts.csv


title: L24_AB04_155_HFO_10

description:
L24_AB04
Endo_normcounts.csv


title: L24_AB01_041_CGO_10

description:
L24_AB01
Endo_normcounts.csv


title: L24_AB02_009_gasoline_10

description:
L24_AB02
Endo_normcounts.csv


title: L24_AA10_180_VHGO_10

description:
L24_AA10
Endo_normcounts.csv


title: L24_AA09_082_UATO_10

description:
L24_AA09
Endo_normcounts.csv


title: L24_AA06_MethodBlank_0

description:
L24_AA06
Endo_normcounts.csv


title: L24_AA08_006_HFO_10

description:
L24_AA08
Endo_normcounts.csv


title: L24_AA01_016_kerosine_10

description:
L24_AA01
Endo_normcounts.csv


title: L23_DH05_096A_UDAE_100

description:
L23_DH05
Endo_normcounts.csv


title: L24_AA03_043_kerosine_10

description:
L24_AA03
Endo_normcounts.csv


title: L23_DH11_090_FO_100

description:
L23_DH11
Endo_normcounts.csv


title: L23_DH02_119_OLBO_100

description:
L23_DH02
Endo_normcounts.csv


title: L24_AE05_065_P_Hwax_10

description:
L24_AE05
Endo_normcounts.csv


title: L24_AD01_081_OLBO_10

description:
L24_AD01
Endo_normcounts.csv


title: L24_AE06_MethodBlank_0

description:
L24_AE06
Endo_normcounts.csv


title: L24_AA05_151_OLBO_10

description:
L24_AA05
Endo_normcounts.csv


title: L23_DH09_079_HFO_100

description:
L23_DH09
Endo_normcounts.csv


title: L23_DH06_MethodBlank_0

description:
L23_DH06
Endo_normcounts.csv


title: L23_DH04_128_kerosine_100

description:
L23_DH04
Endo_normcounts.csv


title: L23_DG09_104_kerosine_100

description:
L23_DG09
Endo_normcounts.csv


title: L24_AD10_089_UDAE_10

description:
L24_AD10
Endo_normcounts.csv


title: L23_DH07_021_HFO_100

description:
L23_DH07
Endo_normcounts.csv


title: L24_AE03_076_gasoline_10

description:
L24_AE03
Endo_normcounts.csv


title: L23_DG11_191_BITUMEN_100

description:
L23_DG11
Endo_normcounts.csv


title: L23_DH03_060_OLBO_100

description:
L23_DH03
Endo_normcounts.csv


title: L23_DG10_164_HFO_100

description:
L23_DG10
Endo_normcounts.csv


title: L23_DG07_136_slackwax_100

description:
L23_DG07
Endo_normcounts.csv


title: L23_DG08_108_OLBO_100

description:
L23_DG08
Endo_normcounts.csv


title: L23_DG06_MethodBlank_0

description:
L23_DG06
Endo_normcounts.csv


title: L24_AB03_184_VHGO_10

description:
L24_AB03
Endo_normcounts.csv


title: L23_DG05_135_TDAE_100

description:
L23_DG05
Endo_normcounts.csv


title: L23_DG03_017_HFO_100

description:
L23_DG03
Endo_normcounts.csv


title: L23_DG04_181_VHGO_100

description:
L23_DG04
Endo_normcounts.csv


title: L23_DG02_187_2__OGO_100

description:
L23_DG02
Endo_normcounts.csv


title: L23_DF05_183_VHGOa_100

description:
L23_DF05
Endo_normcounts.csv


title: L23_DG01_118_OLBO_100

description:
L23_DG01
Endo_normcounts.csv


title: L23_DF06_MethodBlank_0

description:
L23_DF06
Endo_normcounts.csv


title: L23_DH10_067_P_Hwax_100

description:
L23_DH10
Endo_normcounts.csv


title: L23_DF03_076_gasoline_100

description:
L23_DF03
Endo_normcounts.csv


title: L23_DE08_107_P_Hwax_100

description:
L23_DE08
Endo_normcounts.csv


title: L23_DF02_083_UATO_100

description:
L23_DF02
Endo_normcounts.csv


title: L23_DE11_124_gasoline_100

description:
L23_DE11
Endo_normcounts.csv


title: L23_DE09_092_OLBO_100

description:
L23_DE09
Endo_normcounts.csv


title: L23_DE07_087_kerosine_100

description:
L23_DE07
Endo_normcounts.csv


title: L23_DE06_MethodBlank_0

description:
L23_DE06
Endo_normcounts.csv


title: L23_DF04_192_BITUMENS_100

description:
L23_DF04
Endo_normcounts.csv


title: L23_DE10_085A_OLBO_100

description:
L23_DE10
Endo_normcounts.csv


title: L23_DE05_065_P_Hwax_100

description:
L23_DE05
Endo_normcounts.csv


title: L23_DD09_093_petrolatum_100

description:
L23_DD09
Endo_normcounts.csv


title: L23_DD08_103_gasoline_100

description:
L23_DD08
Endo_normcounts.csv


title: L23_DE03_076_gasoline_100

description:
L23_DE03
Endo_normcounts.csv


title: L23_DD02_127_slackwax_100

description:
L23_DD02
Endo_normcounts.csv


title: L23_DD05_074_OLBO_100

description:
L23_DD05
Endo_normcounts.csv


title: L23_DD06_MethodBlank_0

description:
L23_DD06
Endo_normcounts.csv


title: L23_DC06_MethodBlank_0

description:
L23_DC06
Endo_normcounts.csv