title: cKO, E18.5, bio rep 3

city: Beijing

first: Jiayu

address: Haidian District,Beijing,China

institute: Peking university

data_processing:
The raw data were aqiured from MGI sequencing platforms.
Conducted base quality filtration of raw reads using the NGS QC Toolkit v2.3.3
Clean reads were aligned to the Mus musculus using BWA-MEM v0.7.12, and duplicate reads were removed using Picard v2.6.0
The mapped reads of each sample were assembled by StringTie(https://ccb.jhu.edu/software/stringtie/index.shtml? t=example)
Assembly: StringTie
Supplementary files format and content: tab-delimited text files include FPKM values for each Sample

source_name: inner enamel epithelium tissue

extract_protocol:
RNA was harvested using TRIzol® Reagent. 1ug of total RNA was used for the construction of sequencing libraries.
RNA-seq transcriptome librariy was prepared following TruSeqTM RNA sample preparation Kit from Illumina (San Diego, CA) using 1μg of total RNA

value: inner enamel epithelium tissue

value: Kdf1 deletion


title: PO_2

status: Public on Jun 02 2024

type: SRA

city: Freiburg im Breisgau

first: Julian

last: Rapp

address: Killianstraße 5

country: Germany

institute: University Medical Center Freiburg

description: batch a

library_source: transcriptomic

data_processing:
Aligned to GRCm39 by STAR aligner in standard settings
Assigned to genes by featureCounts  in standard settings excluding multi-mappers
Assembly: GRCm39
Supplementary files format and content: tab-delimited text file includes count values for each Sample

molecule: polyA RNA

organism: Mus musculus

source_name: hepatic tissues

extract_protocol:
RNA was isolated using the Qiagen RNeasy Mini Kit according to the manufacturer’s instructions
Poly(A) selection

treatment_protocol: Colorectal cancer was induced via implantation of CRC organoids into the cecal wall. Upon detectable metastasis, mice were subjected to 1/3 partial hepatectomy. For preoperative samples, we isolated RNA from the healthy liver of the resected lobes. Mice were then euthanized on POD 14 and RNA isolated from healthy livers after dissecting metastatic tissue

tag: tissue

value: hepatic tissues

tag: genotype

tag: treatment

value: preoperative sample


title: cKO, E18.5, bio rep 2

last: Wang

country: China

molecule: total RNA


title: Exp1_Pol2_CMC_rep1

city: Tel Aviv

first: Aldema

last: Sas-Chen

state: Israel

address: Tel Aviv University

department: Shmunis School of Biomedicine and Cancer Research

country: Israel

institute: Tel Aviv University

description: Table S2

library_source: genomic

data_processing:
Library strategy: targeted psi-seq
[Table S6]  alignment using STAR (V. 2.5.3a)
[Table S6]  base-calling
[Table S6]  calculation of number of read starts and coverage per base
[Table S6]  calculation of pseudouridine rate
Genome_build: [Table S6]  custom sequences of synthetic constructs supplemented with rRNA sequences
[Table S2]  alignment using STAR (V. 2.5.3a)
[Table S2]  filter bam files via samtools to retain only read pairs with mapping quality=255, which fall within the expected boundaries of the PCR insert.
[Table S2]  base-calling
[Table S2]  calculation of number of read starts and coverage per base
[Table S2]  calculation of pseudouridine rate
Genome_build: [Table S2]  custom sequences of synthetic constructs supplemented with rRNA sequences
[Table S5; Table S7]  alignment using STAR (V. 2.5.3a)
[Table S5; Table S7]  conduct read counting using VERSE (https://github.com/qinzhu/VERSE)
[Table S5; Table S7]  TMM normalized of VERSE output using Noiseq package in R
[Table S5; Table S7]  quantification of snoRNA expression
Genome_build: [Table S5; Table S7]  snoRNA sequences from LBME (hg18) after liftover to hg19
[Table S4]  alignment using RSEM (version 1.2.31)
[Table S4]  TMM normalized of RSEM output using Noiseq package in R
[Table S4]  quantification of snoRNA and DKC1 expression
Genome_build: [Table S4]  hg19
[Table S3]  alignment using STAR (V. 2.5.3a)
[Table S3]  base-calling
[Table S3]  calculation of number of read starts and coverage per base
[Table S3]  calculation of pseudouridine rate
Genome_build: [Table S3]  custom sequences of in vitro transcribed DNA reporters
[Figure 5b]  alignment using STAR (V. 2.5.3a)
[Figure 5b]  base-calling
[Figure 5b]  calculation of number of read starts and coverage per base
[Figure 5b]  calculation of pseudouridine rate
Genome_build: [Figure 5b]  custom sequences of DMD reporters

molecule: other

organism: Homo sapiens

source_name: human cell line

growth_protocol:
[Table S6] HEK-293T cells were grown in DMEM media.
[Table S2; Table S7] HEK-293T cells were grown in DMEM media. Cells were transiently transfected with plasmids (either the library plasmid alone or divided between the library plasmid and other plasmids) using PolyJet reagent (Signagen Laboratories).
[Table S7] HEK-293T cells were grown in DMEM media.
[Table S4; Table S5] HEK-293T cells were grown in DMEM media.
[Table S3] NA. RNA was in vitro transcribed
[Figure 5b] HEK-293T cells were grown in DMEM media. Cells were transiently transfected with plasmids (either the DMD reporter and a sno61 variant) using PolyJet reagent (Signagen Laboratories).

extract_protocol:
[Table S6] RNA was purified using Nucleozol reagent (Macherey Nagel).
[Table S6] Fragmentation, 3' adapter ligation, cDNA synthesis, second adapter ligation and enrichment
[Table S2; Table S7] RNA was purified using Nucleozol reagent (Macherey Nagel).
[Table S2; Table S7] Fragmentation, targeted cDNA synthesis, second adapter ligation and enrichment
[Table S7] RNA was purified using Nucleozol reagent (Macherey Nagel).
[Table S7] Column size selection (under 200nt), fragmentation, 3' adapter ligation, cDNA synthesis, second adapter ligation and enrichment
[Table S4; Table S5] RNA was purified using Nucleozol reagent (Macherey Nagel).
[Table S4; Table S5] Fragmentation, 3' adapter ligation, cDNA synthesis, second adapter ligation and enrichment
[Table S3] in vitro transcribed RNA
[Table S3] cDNA synthesis, PCR enrichment
[Figure 5b] RNA was purified using Nucleozol reagent (Macherey Nagel) and treated with Ribozero (Illumina).
[Figure 5b] Fragmentation, 3' adapter ligation, cDNA synthesis, second adapter ligation and enrichment

treatment_protocol:
[Table S6] CMC or input
[Table S2; Table S7] CMC or input
[Table S7] none
[Table S4; Table S5] CMC or input
[Table S3] CMC
[Figure 5b] CMC

value: WT

tag: cell line

tag: molecule type

value: other (subset of total RNA, transcribed from plasmid)

tag: transfected library

value: plasmid with Pol2 promoter

value: CMC


title: PO_1

description: batch a


title: cKO, E18.5, bio rep 1


title: Exp1_Pol1_Input_rep2

description: Table S2

value: plasmid with Pol1 promoter

value: Input


title: Exp2_Pol2_ACA21ACA61overexpression_CMC

description: Table S2


title: Exp4_Pol2_K562_CMC

description: Table S2; Table S7


title: Exp4_Pol2_K562_Input

description: Table S2


title: control, E18.5, bio rep 3


title: control, E18.5, bio rep 2


title: pHx_4

description: batch b

value: partial hepatectomy


title: pHx_3

description: batch b


title: Exp1_Pol1_Input_rep1

description: Table S2


title: Exp4_Pol2_A549_Input

description: Table S2


title: Exp4_Pol2_A549_CMC

description: Table S2; Table S7


title: control, E18.5, bio rep 1


title: Exp1_Pol1_CMC_rep2

description: Table S2


title: Exp1_Pol1_CMC_rep1

description: Table S2


title: Sow1

status: Public on Jun 01 2024

city: Columbia

first: SUSANTA

last: BEHURA

state: MO

address: 920 East Campus Dr

country: USA

institute: University of Missouri

data_processing:
Library strategy: Enzymatic methyl-seq
The raw sequences were assessed for quality with FastQC.
TrimGalore was the used to remove adapters and perform base quality trimming.
The reads obtained from the quality control steps were mapped to the reference genome of swine, Sscrofa11.1, using Bismark.
After alignment, the methylation sites were extracted by using the bismark_methylation_extractor algorithm implemented within Bismark to generate the coverage files for methylation sites.
The Bismark coverage files were then processed using edgeR
Genome_build: Sscrofa11.1
Supplementary_files_format_and_content: text file (gziped). These files contain information for methylation sites including the chromosome, start position, end position, methylation percentage, count methylated, and count unmethylated data.

molecule: genomic DNA

organism: Sus scrofa

source_name: Peripheral blood

growth_protocol: The pigs for this study were obtained from the University of Missouri Swine Research Complex (Columbia, MO). The fetal tissues were dissected from sows bred via artificial insemination (AI). Dams were a mixture of Landrace and Large White breeds and bred to Choice Genetics (Choice USA 1415 28th Street Suite 400 West Des Moines, Iowa 50266) LR-M6 line. Gestation day 1 (GD1) was considered the day of AI. Dams were euthanized at GD45, GD60, and GD90 via electrical stunning and exsanguination at the University of Missouri abattoir, an USDA inspected commercial unit (Establishment #5077A).

extract_protocol:
The reproductive tract was removed from the dam at the abattoir. Individual fetuses, referred to as GD45, GD60, GD90 male or female (M or F) were removed from each uterine horn. No fetuses were taken from the tip of either horn or the body of the uterus. The skin and skull were cut downstream the mid-sagittal plane with a scalpel and removed near the ears. The whole brain was scooped out, weighed, measured at the longest point. Blood was collected from age-matched boars and sows. The animal was restrained using a snare and whole blood was collected with a syringe and needle from the jugular vein and put in ethylenediaminetetraacetic acid (EDTA) tubes to prevent from blood to clot. DNA from fetal brain was isolated from frozen homogenized tissue samples using AllPrep DNA/RNA Mini Kit (Qiagen, Cat No./ID: 80204) as per manufacturer’s instruction. DNA from blood was isolated using QIAamp DNA Blood Mini Kit (Qiagen, Cat No./ID: 51104) as per manufacturer’s instruction.
Libraries were prepared  using NEBNext® Ultra™ II DNA Library Prep Kit as per manufacturer’s instruction.

value: Peripheral blood

tag: Stage

value: Adult

tag: Sex

value: female


title: pHx_2

description: batch a


title: Sow3


title: Exp1_Pol2_CMC_rep2

description: Table S2


title: Sow2


title: Fetus6

source_name: Fetal brain

value: Fetal brain

value: male


title: Fetus5


title: pHx_1

description: batch a


title: Fetus3


title: Exp4_Pol2_HEK293T_CMC

description: Table S2; Table S7


title: Fetus4


title: Fetus2


title: Boar2


title: Boar3


title: Exp4_Pol2_HEK293T_Input

description: Table S2


title: Boar1


title: DICER-delHelicase double cleavage replicate 1

city: Hong Kong SAR

first: Truc

middle: Cong

last: LE

address: Clearwater Bay, Kowloon

department: Life Science

country: Hong Kong

institute: The Hong Kong University of Science and Technology

description: Each-variant-Dicer-delHelicase.bed

library_source: other

data_processing:
First, we used cutadapt (-a TGGAATTCTCGGGTGCCAAGG -A GATCGTCGGACTGTAGAACTCTGAAC -m 10) to remove the adapters from the raw reads.
Next, we joined the pair-end reads using fastq-join, and then filtered out the low-quality reads using fastq_quality_filter (-q 30 -p 90).
We removed any duplicated reads containing the same 4 nt or 6 nt randomized barcodes in both ends using fastx_collapser. We then processed the control RNA (OS), double cleavage (DC).
For the OS libraries, we used cutadapt (cutadapt -u 4 -u -6) to remove the 4-nt randomized barcodes in the 5'-end and 6-nt randomized barcodes in the 3'-end of the OS reads. We split the resulting read into two segments (FL-OS and 32N) using cutadapt (cutadapt -g GCTTGC…GCAAGC -m 32 -M 32 --discard-untrimmed). We discarded any shRNA/32N pairs that contained the 32N barcode shared by two or more shRNAs. We aligned the resulting FL-OS sequences with the reference sequences containing 23,296 possible variants of 6 shRNA subgroups using BWA. We selected only the perfectly aligned FL-OS sequences for further analysis. The raw counts of each FL-OS were the sum of read counts of the FL-OS in the unique FL-OS/32N-dictionary.
For DC, we used cutadapt to remove randomized barcodes in both ends (cutadapt -u 4 -u -4: 4 nt in both ends for DC reads). We then split the processed reads into two fragments, including a cleaved shRNA product (CP) and a 32N barcode, using cutadapt (cutadapt -g GCTTGC…GCAAGC -m 32 -M 32 --discard-untrimmed). For each pair of CP and 32N, we used the 32N barcode sequence to assign the CP to the OS sequence in a pair with the barcode in the dictionary. We determined the cleavage sites by mapping the CP and OS using the local alignment mode of pairwise2 from Biopython.
Assembly: home-made reference shRNA sequences available on the series record.
Supplementary files format and content: Bed files of control samples contain the raw read count of each shRNA in the control library.
Supplementary files format and content: Bed files of the single cleavage and double cleavage samples contains the assigned cleavage sites, cleavage accuracy, positional cleavage efficiency, global cleavage efficiency.

organism: synthetic construct

extract_protocol: We first ligated the control RNA to the 4N-RA3 adapter using T4 RNA Ligase 2, truncated KQ enzyme (NEB, M0373L). The resulting 4N-RA3-ligated RNA were then gel-purified. Next, we mixed the purified RNAs in a reverse transcription (RT) mixture containing cirRTP primer and Superscript IV Reverse Transcriptase (Invitrogen) and incubated the mixture for 60 min at 50°C. To degrade the RNAs, we added 0.1 M NaOH to the RT mixture and incubated it at 98°C for 10 min. We then purified the resulting cDNAs and circularized them using CircLigase ssDNA ligase (Epicentre). After separating the circularized cDNAs from linear cDNAs in an 18% urea-PAGE gel and gel-purifying them, we amplified the purified circularized DNAs by PCR using RP1 and RPI1 and one of the RPIx primers, respectively. We used the RP1 and RPIx primer systems from the Truseq Illumina primers. For the double cleavage (DC) fragments, we ligated them to the 4N-RA3 adapter and separated the resulting 4N-RA3-ligated DC from unligated DC and free 4N-RA3 in a 12% Urea-PAGE gel, which we then gel-purified. We ligated the purified 4N-RA3-ligated DC with the 4N-RA5 primer using T4 RNA ligase 1, and reverse-transcribed the double-ligated DC using Superscript IV Reverse Transcriptase and RTP primer. Finally, we amplified the resulting cDNA by PCR using RP1 and RPIx.

value: DICER-delta-Helicase

tag: substrate

value: double cleavage


title: DICER-delHelicase Control replicate 2

value: control


title: DICER-delHelicase Control replicate 1


title: HAP2_rGLN3_4

city: Rehovot

first: Naama

last: Barkai

state: --- Select a state ---

address: Herzl St 234

department: Molecular Genetics

institute: Weizmann Institute

data_processing:
demultiplexing with bcl2fastq
filtering of adapter dimers using cutadapt
paired end alignment to S288C_R64 with bowtie2 (-p8 --local --very-sensitive --trim-to 30 --dovetail)
genome coverage with bedtools (-5 -fs 1 -d)
Assembly: GCA_000146045.2 (R64)
Supplementary files format and content: *.out.txt.gz file contains zipped genome coverage for all 12,157,105 bases in the S. cerevisiae genome (Chr 1-16+mitochondria)
Library strategy: ChEC-seq

organism: Saccharomyces cerevisiae

source_name: budding yeast culture at OD=4

growth_protocol: Overnight cultures from fresh colonies were diluted (>1:10000) and grown to OD4 in SC medium with glucose

extract_protocol:
Phenol chloroform extraction
One tube library construction based on Skeene et al. 2017 as described in Gera 2021


title: DICER-delHelicase double cleavage replicate 2

description: Each-variant-Dicer-delHelicase.bed


title: HAP2_pCglab_3

value: BY4741 HAP2::HAP2(Cgla)-MNAse


title: HAP2_rGLN3_1


title: HAP2_pCglab_1


title: HAP2_rGLN3_3


title: HAP2_pCglab_4


title: HAP2_d2_63_2


title: HAP2_d2_63_1


title: HAP2_d78_131_1


title: HAP2_d222_266_1


title: HAP2_d78_131_2


title: HAP2_d222_266_2


title: GLN3_rSTP2_2


title: Fetus1


title: GLN3_rRTG3_6


title: GLN3_rSTP1_2


title: GLN3_rSTP1_1


title: GLN3_rRTG3_5


title: GLN3_rSTP2_1


title: GLN3_rRTG3_4


title: GLN3_rRTG3_2


title: GLN3_rRTG1_6


title: GLN3_rRTG1_5


title: GLN3_rRTG1_3


title: GLN3_rRTG1_1


title: GLN3_rHAP5_1


title: GLN3_rRTG1_2


title: GLN3_bHAP2_pCglab_1


title: GLN3_rHAP3_2


title: GLN3_rHAP3_1


title: GLN3_bHAP2_pCglab_2


title: GLN3_bHAP2_d2_63_2


title: GLN3_bHAP2_d2_63_1


title: GLN3_bHAP2_d78_131_1


title: GLN3_pCglab602_823_2


title: GLN3_rRTG3_3


title: GLN3_pCglab602_690_4


title: GLN3_bHAP2_d78_131_2


title: GLN3_pCglab602_823_1


title: GLN3_pCglab602_690_5


title: GLN3_rRTG1_4


title: GLN3_pCglab602_690_3


title: GLN3_pCglab494_823_1


title: GLN3_bHAP2_d222_266_1


title: GLN3_pCglab494_601_3


title: GLN3_pCglab602_690_6


title: GLN3_rRTG3_1


title: GLN3_rHAP5_2


title: GLN3_edPG481_580_2


title: GLN3_edPG481_580_3


title: GLN3_edPG481_580_1


title: GLN3_pCglab494_823_2


title: GLN3_pCglab494_601_4


title: GLN3_edNQT481_580_4


title: GLN3_pCglab602_823_3


title: GLN3_edNQT481_580_3


title: GLN3_edLIV481_580_4


title: GLN3_edNQT481_580_2


title: GLN3_edLIV481_580_3


title: GLN3_edKR481_580_3


title: GLN3_edKR481_580_1


title: GLN3_edKR481_580_2


title: GLN3_edLIV481_580_2


title: GLN3_dS481_580_2


title: GLN3_dS481_580_1


title: GLN3_dPG481_580_5


title: GLN3_dPG481_580_6


title: GLN3_dPG481_580_3


title: GLN3_dM481_580_1


title: GLN3_dM481_580_4


title: GLN3_dLIV481_580_4


title: GLN3_dKR481_580_2


title: GLN3_dKR481_580_1


title: GLN3_250N150C_d381_480_2


title: GLN3_250N150C_d381_480_4


title: GLN3_dFWY481_580_2


title: GLN3_250N150C_d381_480_1


title: GLN3_250N350C_WT_2


title: GLN3_d569_571_2


title: GLN3_d569_571_1


title: GLN3_d503_505_rHAP2_6


title: GLN3_bHAP2_d222_266_2


title: GLN3_d537_541_1


title: GLN3_d503_505_rHAP2_3


title: GLN3_d503_505_rHAP2_4


title: GLN3_d503_505_rHAP2_1


title: GLN3_dPG481_580_4


title: GLN3_d503_505_rHAP2_2


title: GLN3_d503_505_4


title: GLN3_d503_505_3


title: GLN3_d482_484_2


title: GLN3_dLIV481_580_1


title: GLN3_d481_580_rHAP2_6


title: GLN3_d503_505_1


title: GLN3_d481_580_rHAP2_4


title: GLN3_d537_541_2


title: GLN3_d482_484_1


title: GLN3_dFWY481_580_1


title: GLN3_d481_580_rHAP2_5


title: GLN3_dLIV481_580_3


title: GLN3_d481_580_rHAP2_3


title: GLN3_d503_505_rHAP2_5


title: GLN3_d101_280_d381_730_3


title: GLN3_350C_WT_1


title: GLN3_350C_WT_2


title: GLN3_edPG101_280_d381_730_3


title: GLN3_edNQT101_280_d381_730_2


title: GLN3_d481_580_rHAP2_2


title: GLN3_edNQT101_280_d381_730_1


title: GLN3_edPG101_280_d381_730_1


title: GLN3_edNQT101_280_d381_730_3


title: GLN3_edLIV101_280_d381_730_2


title: GLN3_edLIV101_280_d381_730_3


title: GLN3_edPG101_280_d381_730_2


title: GLN3_edLIV101_280_d381_730_4


title: GLN3_edFYW101_280_d381_730_3


title: GLN3_edFYW101_280_d381_730_1


title: GLN3_d481_580_rHAP2_1


title: GLN3_dS101_280_d381_730_3


title: GLN3_d101_280_d381_730_1


title: GLN3_dNQT101_280_d381_730_4


title: GLN3_dPG101_280_d381_730_3


title: GLN3_dNQT101_280_d381_730_3


title: GLN3_dLIV101_280_d381_730_4


title: GLN3_dM101_280_d381_730_1


title: GLN3_dM101_280_d381_730_4


title: GLN3_dM101_280_d381_730_3


title: GLN3_edLIV101_280_d381_730_1


title: GLN3_dLIV101_280_d381_730_1


title: GLN3_dLIV101_280_d381_730_3


title: GLN3_edNQT101_280_d381_730_4


title: GLN3_dFWY101_280_d381_730_6


title: GLN3_dKR101_280_d381_730_2


title: GLN3_dKR101_280_d381_730_3


title: GLN3_dKR101_280_d381_730_6


title: GLN3_edFYW101_280_d381_730_2


title: GLN3_dPG101_280_d381_730_4


title: GLN3_dKR101_280_d381_730_1


title: GLN3_dFWY101_280_d381_730_5


title: GLN3_dFWY101_280_d381_730_4


title: GLN3_dS101_280_d381_730_4


title: GLN3_norm_wt_rep2

data_processing:
demultiplexing with bcl2fastq
filtering of adapter dimers using cutadapt
paired end alignment to S288C_R64 with bowtie2 (-p8 --local --very-sensitive --trim-to 30 --dovetail)
genome coverage with bedtools (-5 -fs 1 -d)
Assembly: GCA_000146045.2 (R64)
Supplementary files format and content: *.out.gz file contains zipped genome coverage for all 12,157,105 bases in the S. cerevisiae genome (ordered from Chr 1 to 16 and mitochondria)
Library strategy: ChEC-seq

growth_protocol: Overnight cultures from fresh colonies were diluted (>1:10000) and grown to OD4 in SC medium with glucose or grown to exponential phase and then switched to indicated medium for 60 minutes

extract_protocol:
Phenol chlorofrom extraction
One tube library construction based on Skeene et al. 2017 as described in Gera et al. 2021

treatment_protocol: ChEC-Seq protocol as described in Zentner et al. 2015

value: BY4741 GLN3::Gln3-MNAse

tag: growth condition

value: SD at OD=4


title: GLN3_norm_ure2_sd25_a

source_name: budding yeast culture in exponential growth

value: 60 min in SD (OD=0.5)


title: GLN3_norm_wt_rep1


title: GLN3_norm_ure2_sd25_b


title: GLN3_norm_ure2_sd15_a

value: 60 min in Prolin medium (OD=0.5)


title: GLN3_norm_ure2_Pr_b


title: GLN3_norm_ure2_Pr_a


title: GLN3_norm_ure2_NG_b

value: 60 min in SC no Glucose (OD=0.5)


title: GLN3_norm_ure2_C


title: GLN3_norm_ure2_NG_a


title: GLN3_norm_ure2_A


title: GLN3_norm_ure2_Am_b

value: 60 min in NH4 medium (OD=0.5)


title: GLN3_norm_ure2_B


title: GLN3_norm_gcn4_B


title: GLN3_norm_hap2_A


title: GLN3_norm_gat1_B


title: GLN3_dFWY101_280_d381_730_3


title: GLN3_norm_dal81_A

value: BY4741 GLN3::Gln3-MNAse DAL81:NatA


title: GLN3_norm_hap2_B


title: GLN3_norm_dal81_B


title: GLN3_norm_ure2_Am_a


title: GLN3_nonDBD_ure2_B


title: GLN3_norm_ure2_sd15_b


title: GLN3_nonDBD_ure2_A


title: GLN3_nonDBD_WT_C


title: GLN3_norm_dal81_C


title: GLN3_nonDBD_ure2_C


title: GLN3_nonDBD_WT_B


title: GLN3_lac_wt_C

value: BY4741 GLN3::Gln3(K. lactis)D-MNAse


title: GLN3_nonDBD_WT_A


title: GLN3_lac_wt_B


title: GLN3_lac_wt_A


title: GLN3_klu_wt_A

value: BY4741 GLN3::Gln3(L. kluyveri)D-MNAse


title: GLN3_Smik_wt_C

value: BY4741 GLN3::Gln3(L. mikatae)D-MNAse


title: GLN3_gla_wt_C

value: BY4741 GLN3::Gln3(C. glabrata)D-MNAse


title: GLN3_klu_wt_B


title: GLN3_gla_wt_B


title: GLN3_norm_gcn4_C


title: GLN3_norm_gat1_A


title: GLN3_Skud_wt_C


title: GLN3_norm_gcn4_A


title: GLN3_Smik_wt_B


title: GLN3_Smik_wt_A


title: GLN3_Skud_wt_B


title: GLN3_Skud_wt_A


title: GLN3_Cas_wt_C

value: BY4741 GLN3::Gln3(N. castelli)D-MNAse


title: GLN3_Cas_wt_B


title: GLN3_Cas_wt_A


title: GLN3_50NA_wt_rep2


title: GLN3_50ND_wt_rep3


title: GLN3_50NA_wt_rep1


title: GLN3_50ND_wt_rep1


title: GLN3_50CA_wt_rep3


title: GLN3_50CD_wt_rep2


title: GLN3_50CD_wt_rep1


title: GLN3_50CA_wt_rep1


title: GLN3_450C_ure2_C


title: GLN3_50CA_wt_rep2


title: GLN3_450C_WT_A


title: GLN3_450C_WT_C


title: GLN3_400C_ure2_C


title: GLN3_400C_WT_C


title: GLN3_400C_ure2_B


title: GLN3_375C_ure2_A


title: GLN3_400C_WT_A


title: GLN3_375C_WT_B


title: GLN3_375C_WT_A


title: GLN3_375CA_wt_rep1


title: GLN3_375CA_wt_rep2


title: GLN3_375CD_wt_rep1


title: GLN3_375CD_wt_rep2


title: GLN3_350C_ure2_C


title: GLN3_350C_ure2_A


title: GLN3_350CA_wt_rep2


title: GLN3_350CD_wt_rep1


title: GLN3_350C250N_gat1_B


title: GLN3_300C_ure2_C


title: GLN3_350CA_wt_rep1


title: GLN3_350CA_wt_rep4


title: GLN3_350C_WT_B


title: GLN3_50CD_wt_rep3


title: GLN3_300C_ure2_A


title: GLN3_300C_WT_C


title: GLN3_350C250N_hap2_B


title: GLN3_300C_WT_A


title: GLN3_300C_WT_B


title: GLN3_300C_ure2_B


title: GLN3_350C250N_gat1_A


title: GLN3_350C250N_hap2_A


title: GLN3_300CA_wt_rep2


title: GLN3_300CD_wt_rep1


title: GLN3_300CA_wt_rep1


title: GLN3_250N_WT_B


title: GLN3_250ND350CD_wt_C


title: GLN3_50ND_wt_rep2


title: GLN3_350CA_wt_rep3


title: GLN3_250ND350CD_wt_D


title: GLN3_250ND_wt_rep1


title: GLN3_250N_WT_A


title: GLN3_250ND350CD_wt_A


title: GLN3_250NA_wt_rep2


title: GLN3_250N350C_WT_A


title: GLN3_250C_hap2_B


title: GLN3_250C_ure2_C


title: GLN3_250C_hap2_A


title: GLN3_250C_gat1_B


title: GLN3_250C_ure2_B


title: GLN3_300CD_wt_rep2


title: GLN3_250NA_wt_rep1


title: GLN3_250C_ure2_A


title: GLN3_250C_WT_C


title: GLN3_250C_WT_B


title: GLN3_250CD_wt_rep1


title: GLN3_250ND_wt_rep2


title: GLN3_250C_WT_A


title: GLN3_250CA_wt_rep4


title: GLN3_250CA_wt_rep5


title: GLN3_250CA_wt_rep3


title: GLN3_200ND_wt_rep2


title: GLN3_200ND_wt_rep1


title: GLN3_200N_WT_B


title: GLN3_250CA_wt_rep2


title: GLN3_200NA_wt_rep1


title: GLN3_200C_ure2_C


title: GLN3_200NA_wt_rep2


title: GLN3_250C_gat1_A


title: GLN3_200N350C_WT_A


title: GLN3_200C_WT_C


title: GLN3_200C_WT_B


title: GLN3_200C_ure2_B


title: GLN3_200CA_wt_rep1


title: GLN3_200CD_wt_rep1


title: GLN3_200-250C_WT_A


title: GLN3_200C_WT_A


title: GLN3_200-250C_WT_B


title: GLN3_150NA_wt_rep2


title: GLN3_150ND_wt_rep2


title: GLN3_200CD_wt_rep2


title: GLN3_250CD_wt_rep2


title: GLN3_150NA_wt_rep1


title: GLN3_150C_ure2_C


title: GLN3_250CA_wt_rep1


title: GLN3_150ND_wt_rep1


title: GLN3_150C_ure2_B


title: GLN3_150C_WT_B


title: GLN3_150C_WT_A


title: GLN3_150CD_wt_rep1


title: GLN3_150CD_hap2_A


title: GLN3_150CD_hap2_B


title: GLN3_150CA_wt_rep2


title: GLN3_150CA_wt_rep1


title: GLN3_150-250C_WT_A


title: GLN3_200CA_wt_rep2


title: GLN3_150-200C_WT_B


title: GLN3_150-200C_WT_A


title: GLN3_100N_WT_B


title: GLN3_100ND_wt_rep2


title: GLN3_100NA_wt_rep2


title: GLN3_100NA_wt_rep1


title: GLN3_100N_WT_A


title: GLN3_100C_ure2_C


title: GLN3_100N350C_WT_B


title: GLN3_150C_WT_C


title: GLN3_100C_ure2_A


title: GLN3_100C_ure2_B


title: GLN3_100C_WT_B


title: GLN3_100C_WT_A


title: GLN3_100C_WT_C


title: GLN3_100CD_wt_rep2


title: GLN3_100CD_wt_rep3


title: GLN3_150C_ure2_A


title: GLN3_150CD_hap2_D


title: GLN3_100CD_wt_rep1


title: GLN3_150CD_hap2_C


title: GLN3_100CA_wt_rep1


title: GLN3_100CA_wt_rep2


title: GLN3_050N_WT_B


title: GLN3_100CA_wt_rep3


title: GLN3_050C_ure2_C


title: GLN3_050C_ure2_B


title: GLN3_100ND_wt_rep1


title: GLN3_050N350C_WT_B


title: GLN3_050C_ure2_A


title: GLN3_050C_WT_C


title: GLN3_050C_WT_B


title: GLN3_050N_WT_A


title: Root_Fo+Cd_3

city: Shanghai

first: Ziai

last: Qi

address: Fenglin 300 Road

institute: CAS Center for Excellence in Molecular Plant Sciences

data_processing:
The junction sequence in Reads was removed
Cut out the low quality clips at the beginning and end of the sequence
Reads containing fuzzy bases were removed
Discard sequences less than 30bp in length after adapter removal and mass pruning
Assembly: ASM465v1
Supplementary files format and content: tab-delimited text files include TPM values for each Sample

organism: Oryza sativa

source_name: Roots

growth_protocol: Wild type rice (Oryza sativa)  were grown in a condition-controlled greenhouse (12 h: 12 h, 30 ℃: 28 ℃, light:dark cycle).

extract_protocol:
Total RNA was extracted from the root tissue using TRIzol® Reagent
Illumina® Stranded mRNA Prep, Ligation was used with 1 ug of total RNA for the construction of sequencing libraries.

treatment_protocol: treated with or without 0.5% Fo10 under 10 μM Cd

value: Roots

value: Fo+Cd


title: GLN3_050C_WT_A


title: Root_Fo+Cd_1


title: Root_Fo+Cd_2


title: Root_Cd_2

value: Cd


title: Root_Cd_1


title: Root_Cd_3


title: Subject D-67, Pre-Treatment

type: RNA

city: Tarrytown

first: Kaitlyn

last: Gayvert

state: NY

address: 777 Old Saw Mill River Rd

department: Molecular Profiling & Data Science

institute: Regeneron Pharmaceuticals

hyb_protocol: RNA was hybridized to HGU133 Plus 2.0 chips

scan_protocol: standard Affymetrix protocol

data_processing: Expression measures were background corrected using the GCRMA (using gcrma package from R/Bioconductor) and differentially expressed genes were identified using the limma package from R/Bioconductor.

label: biotin

source_name: nasal brushings

label_protocol: standard Affymetrix protocol

extract_protocol: RNA from nasal brushing samples was extracted from cells using RNeasy kits (Qiagen), and RNA sample quality was determined by measuring the RNA Integrity Number (RIN) with the Agilent 2100 bioanalyzer. The amount of RNA extracted ranged from 0.1 to 28.3 µg/sample, with a mean (+ SD) RIN value of 6.3 ± 1.8. Double-stranded copy DNA was produced from 20 ng of extracted RNA with the GeneChip® 3’ IVT Pico kit and gene expression levels were quantified using Affymetrix HT Human U133+ PM array plates. Array quality was assessed using standard Affymetrix QC metrics with Bioconductor packages arrayQualityMetrics22 and affyQCReport.

treatment_protocol: Patients were randomized 1:1:1 to subcutaneous dupilumab 300 mg q2w for 52 weeks, placebo q2w for 52 weeks, or dupilumab 300 mg q2w for 24 weeks, followed by dupilumab 300 mg every 4 weeks for 28 weeks

value: Dupilumab

tag: subject id

tag: time

value: Pre-Treatment


title: Subject D-62, Post-Treatment

value: Post-Treatment


title: Subject P-33, Pre-Treatment

value: Placebo


title: Subject P-33, Post-Treatment


title: Subject P-32, Post-Treatment


title: Subject P-31, Post-Treatment


title: Subject D-64, Pre-Treatment


title: Subject P-35, Post-Treatment


title: Subject D-68, Post-Treatment


title: Subject D-63, Post-Treatment


title: Subject D-61, Pre-Treatment


title: Subject D-60, Pre-Treatment


title: Subject P-31, Pre-Treatment


title: Subject D-64, Post-Treatment


title: Subject P-35, Pre-Treatment


title: Subject D-58, Pre-Treatment


title: Subject D-59, Pre-Treatment


title: Subject P-36, Pre-Treatment


title: Subject D-57, Post-Treatment


title: Subject D-62, Pre-Treatment


title: Subject P-34, Post-Treatment


title: Subject D-57, Pre-Treatment


title: Subject P-30, Post-Treatment


title: Subject D-63, Pre-Treatment


title: Subject D-67, Post-Treatment


title: Subject D-65, Pre-Treatment


title: Subject D-56, Post-Treatment


title: Subject D-66, Post-Treatment


title: Subject D-56, Pre-Treatment


title: Subject D-55, Post-Treatment


title: Subject P-29, Post-Treatment


title: Subject D-52, Post-Treatment


title: Subject D-54, Pre-Treatment


title: Subject D-54, Post-Treatment


title: Subject D-53, Post-Treatment


title: Subject P-29, Pre-Treatment


title: Subject D-55, Pre-Treatment


title: Subject D-51, Pre-Treatment


title: Subject D-50, Pre-Treatment


title: Subject P-28, Pre-Treatment


title: Subject P-28, Post-Treatment


title: Subject D-47, Post-Treatment


title: Subject D-49, Post-Treatment


title: Subject D-50, Post-Treatment


title: Subject D-46, Post-Treatment


title: Subject D-49, Pre-Treatment


title: Subject D-51, Post-Treatment


title: Subject D-47, Pre-Treatment


title: Subject D-44, Pre-Treatment


title: Subject D-46, Pre-Treatment


title: Subject D-45, Pre-Treatment


title: Subject D-44, Post-Treatment


title: Subject D-59, Post-Treatment


title: Subject D-45, Post-Treatment


title: Subject D-48, Post-Treatment


title: Subject D-43, Pre-Treatment


title: Subject D-43, Post-Treatment


title: Subject D-42, Post-Treatment


title: Subject D-41, Post-Treatment


title: Subject D-42, Pre-Treatment


title: Subject D-38, Pre-Treatment


title: Subject D-40, Post-Treatment


title: Subject D-40, Pre-Treatment


title: Subject D-39, Post-Treatment


title: Subject P-30, Pre-Treatment


title: Subject D-39, Pre-Treatment


title: Subject P-25, Post-Treatment


title: Subject D-36, Pre-Treatment


title: Subject D-37, Pre-Treatment


title: Subject P-25, Pre-Treatment


title: Subject D-34, Post-Treatment


title: Subject D-35, Pre-Treatment


title: Subject D-36, Post-Treatment


title: Subject D-37, Post-Treatment


title: Subject D-33, Pre-Treatment


title: Subject P-23, Post-Treatment


title: Subject P-26, Pre-Treatment


title: Subject D-32, Pre-Treatment


title: Subject P-27, Pre-Treatment


title: Subject D-34, Pre-Treatment


title: Subject D-32, Post-Treatment


title: Subject P-22, Pre-Treatment


title: Subject P-23, Pre-Treatment


title: Subject D-33, Post-Treatment


title: Subject P-20, Post-Treatment


title: Subject P-19, Pre-Treatment


title: Subject P-24, Pre-Treatment


title: Subject P-19, Post-Treatment


title: Subject D-31, Pre-Treatment


title: Subject P-21, Pre-Treatment


title: Subject P-20, Pre-Treatment


title: Subject D-29, Post-Treatment


title: Subject D-35, Post-Treatment


title: Subject D-41, Pre-Treatment


title: Subject D-29, Pre-Treatment


title: Subject D-28, Post-Treatment


title: Subject P-24, Post-Treatment


title: Subject D-25, Post-Treatment


title: Subject P-17, Pre-Treatment


title: Subject D-30, Pre-Treatment


title: Subject D-25, Pre-Treatment


title: Subject D-22, Post-Treatment


title: Subject D-28, Pre-Treatment


title: Subject D-27, Post-Treatment


title: Subject P-17, Post-Treatment


title: Subject D-24, Post-Treatment


title: Subject D-23, Post-Treatment


title: Subject D-27, Pre-Treatment


title: Subject D-21, Pre-Treatment


title: Subject D-20, Post-Treatment


title: Subject P-15, Pre-Treatment


title: Subject D-23, Pre-Treatment


title: Subject D-26, Pre-Treatment


title: Subject P-18, Post-Treatment


title: Subject P-14, Pre-Treatment


title: Subject P-16, Post-Treatment


title: Subject D-19, Pre-Treatment


title: Subject P-16, Pre-Treatment


title: Subject P-13, Pre-Treatment


title: Subject D-19, Post-Treatment


title: Subject D-18, Early Termination

value: Early Termination


title: Subject D-20, Pre-Treatment


title: Subject D-18, Pre-Treatment


title: Subject P-12, Pre-Treatment


title: Subject P-12, Post-Treatment


title: Subject P-11, Pre-Treatment


title: Subject D-14, Post-Treatment


title: Subject D-17, Post-Treatment


title: Subject D-17, Pre-Treatment


title: Subject P-09, Pre-Treatment


title: Subject P-09, Post-Treatment


title: Subject D-13, Post-Treatment


title: Subject P-10, Pre-Treatment


title: Subject D-10, Post-Treatment


title: Subject D-12, Pre-Treatment


title: Subject D-15, Pre-Treatment


title: Subject P-08, Post-Treatment


title: Subject D-12, Post-Treatment


title: Subject D-16, Post-Treatment


title: Subject D-11, Pre-Treatment


title: Subject D-09, Post-Treatment


title: Subject D-11, Post-Treatment


title: Subject D-14, Pre-Treatment


title: Subject D-09, Pre-Treatment


title: Subject D-15, Post-Treatment


title: Subject P-07, Pre-Treatment


title: Subject P-11, Post-Treatment


title: Subject D-30, Post-Treatment


title: Subject P-06, Post-Treatment


title: Subject P-07, Post-Treatment


title: Subject P-04, Pre-Treatment


title: Subject D-08, Pre-Treatment


title: Subject D-07, Post-Treatment


title: Subject P-03, Early Termination


title: P34-CP7-H03_S87_L002

city: Palo Alto

first: Meng

last: Sun

state: CA

address: Biomedical Innovations Building 1300, 240 Pasteur Drive

institute: Stanford University

library_source: transcriptomic single cell

data_processing:
To convert the sequencing read fastq files into single-cell count tables, we used STAR to align with the reference GRCh38.genome.ERCC.fa and an index length of 150bp, and featureCounts to calculate the count tables. The single-cell count tables were imported as a Seurat object in R for downstream analysis89. We filtered cells with unique feature counts over 4000, total counts below 5x105, and mitochondrial counts >5% for doublets, dropouts, and dying cells. CD8 T cells were removed due to a low cell number. We gated CD4 cells based on their CD4 and CD8 flow MFIs.
Assembly: GRCh38.genome.ERCC.fa
Supplementary files format and content: .tsv scRNA-seq raw count table and each row is a cell and each column is a gene.

source_name: PBMC

extract_protocol:
These antigen-specific T cells were FACS-sorted into individual wells of a 96-well PCR plate with lysis buffers. To assess the technical variability, we mixed the lysis buffers with the external RNA control – ERCC RNA Spike-In (a final estimate of ~5000 molecules per well, Thermo Fisher Scientific, Waltham, MA). We used the modified Smart-Seq2 protocol (Clontech Laboratories, Mountain View, CA) to generate the cDNA library. From the library, we took a small aliquot (1 μL) for the nested PCR to amplify and sequence 15 targeted RNAs (TBX21, RORC, GATA3, FOXP3, RUNX1, RUNX3, IFNG, IL2, IL17A, GZMB, PERF, IL4, IL5, IL13, TGFB) and the CDR3 regions of both TCRα and TCRβ chains. Based on the TCR sequences, the Smart-seq2 generated cDNAs of the clonally expanded activated T cells were manually selected only on the ESAT-6/CFP-10-reactive cells for the high-coverage in-depth single-cell full transcriptomic sequencing.
Nextera XT library prep kit (96 index primers; Illumina, San Diego, CA) protocol

value: PBMC

tag: cell type

value: T-cells

value: overlapping pipette pool targeting ESAT6/CFP10 of M.tuberculosis


title: P34-CP7-E01_S49_L004


title: P34-CP7-H11_S95_L003


title: P34-CP7-C08_S32_L004


title: Subject D-06, Post-Treatment


title: Subject P-02, Pre-Treatment


title: Subject D-08, Post-Treatment


title: Subject D-06, Pre-Treatment


title: Subject D-04, Post-Treatment


title: P34-CP7-H07_S91_L003


title: Subject D-03, Post-Treatment


title: Subject D-03, Pre-Treatment


title: Subject P-03, Pre-Treatment


title: Subject D-04, Pre-Treatment


title: Subject P-01, Pre-Treatment


title: Subject P-02, Post-Treatment


title: P34-CP7-G05_S77_L003


title: Subject P-05, Pre-Treatment


title: P34-CP7-H03_S87_L003


title: P34-CP7-E10_S58_L004


title: Subject D-05, Pre-Treatment


title: P34-CP7-D09_S45_L002


title: P34-CP7-G05_S77_L001


title: Subject P-03, Post-Treatment


title: Subject D-02, Pre-Treatment


title: Subject D-01, Post-Treatment


title: P34-CP7-H02_S86_L002


title: Subject D-01, Pre-Treatment


title: P34-CP7-H06_S90_L002


title: P34-CP7-F05_S65_L004


title: P34-CP7-C05_S29_L004


title: P34-CP7-A11_S11_L004


title: Subject D-24, Pre-Treatment


title: P34-CP7-A01_S1_L003


title: P34-CP7-B12_S24_L003


title: P34-CP7-F11_S71_L002


title: P34-CP7-F03_S63_L001


title: P34-CP7-D07_S43_L004


title: P34-CP7-B08_S20_L003


title: P34-CP7-G02_S74_L004


title: P34-CP7-F08_S68_L003


title: P34-CP7-A07_S7_L002


title: P34-CP7-D11_S47_L001


title: P34-CP7-E01_S49_L002


title: P34-CP7-H04_S88_L003


title: P34-CP7-A02_S2_L002


title: P34-CP7-A04_S4_L001


title: P34-CP7-H03_S87_L001


title: P34-CP7-C10_S34_L004


title: P34-CP7-A10_S10_L003


title: P34-CP7-D12_S48_L004


title: P34-CP7-A07_S7_L003


title: P34-CP7-F12_S72_L002


title: P34-CP7-D08_S44_L002


title: P34-CP7-A09_S9_L004


title: P34-CP7-H11_S95_L004


title: P34-CP7-E11_S59_L004


title: P34-CP7-B08_S20_L001


title: P34-CP7-E02_S50_L001


title: P34-CP7-C07_S31_L003


title: P34-CP7-B08_S20_L004


title: P34-CP7-G03_S75_L003


title: P34-CP7-C01_S25_L002


title: P34-CP7-D12_S48_L003


title: P34-CP7-F02_S62_L003


title: P34-CP7-G08_S80_L004


title: P34-CP7-B09_S21_L002


title: P34-CP7-B04_S16_L004


title: P34-CP7-D09_S45_L001


title: P34-CP7-D04_S40_L004


title: P34-CP7-F04_S64_L004


title: P34-CP7-G11_S83_L002


title: P34-CP7-G12_S84_L003


title: P34-CP7-G06_S78_L001


title: P34-CP7-F10_S70_L003


title: P34-CP7-D10_S46_L001


title: P34-CP7-E10_S58_L001


title: P34-CP7-B12_S24_L004


title: P34-CP7-E03_S51_L002


title: P34-CP7-C03_S27_L002


title: P34-CP7-B11_S23_L001


title: P34-CP7-F09_S69_L001


title: P34-CP7-B09_S21_L004


title: P34-CP7-H04_S88_L001


title: P34-CP7-D09_S45_L004


title: P34-CP7-B03_S15_L004


title: P34-CP7-C03_S27_L003


title: P34-CP7-A04_S4_L003


title: P34-CP7-B10_S22_L003


title: P34-CP7-H01_S85_L003


title: P34-CP7-C11_S35_L003


title: P34-CP7-E05_S53_L001


title: P34-CP7-A12_S12_L001


title: P34-CP7-A11_S11_L001


title: P34-CP7-D02_S38_L003


title: P34-CP7-H10_S94_L004


title: P34-CP7-G03_S75_L004


title: P34-CP7-F09_S69_L002


title: P34-CP7-H07_S91_L004


title: P34-CP7-H12_S96_L003


title: P34-CP7-A12_S12_L002


title: P34-CP7-F11_S71_L004


title: P34-CP7-A02_S2_L003


title: P34-CP7-F05_S65_L003


title: P34-CP7-H04_S88_L004


title: P34-CP7-A04_S4_L002


title: P34-CP7-A10_S10_L004


title: P34-CP7-C05_S29_L001


title: P34-CP7-F06_S66_L004


title: P34-CP7-D05_S41_L003


title: P34-CP7-G05_S77_L004


title: P34-CP7-A07_S7_L001


title: P34-CP7-F03_S63_L003


title: P34-CP7-D03_S39_L004


title: P34-CP7-A03_S3_L004


title: P34-CP7-H01_S85_L004


title: P34-CP7-G08_S80_L003


title: P34-CP7-B01_S13_L002


title: P34-CP7-F08_S68_L001


title: P34-CP7-F07_S67_L001


title: P34-CP7-D04_S40_L002


title: P34-CP7-H12_S96_L001


title: P34-CP7-B03_S15_L001


title: P34-CP7-E04_S52_L001


title: P34-CP7-H02_S86_L004


title: P34-CP7-C11_S35_L004


title: P34-CP7-D08_S44_L004


title: P34-CP7-D08_S44_L003


title: P34-CP7-C12_S36_L004


title: P34-CP7-F01_S61_L002


title: P34-CP7-B02_S14_L002


title: P34-CP7-F07_S67_L002


title: P34-CP7-E04_S52_L003


title: P34-CP7-E03_S51_L003


title: P34-CP7-C07_S31_L001


title: P34-CP7-C06_S30_L003


title: P34-CP7-B07_S19_L004


title: P34-CP7-F06_S66_L003


title: P34-CP7-B07_S19_L003


title: P34-CP7-G12_S84_L004


title: P34-CP7-E12_S60_L003


title: P34-CP7-G08_S80_L002


title: P34-CP7-G11_S83_L003


title: P34-CP7-C01_S25_L004


title: P34-CP7-E07_S55_L003


title: P34-CP7-E10_S58_L002


title: P34-CP7-D01_S37_L003


title: P34-CP7-D04_S40_L001


title: P34-CP7-G04_S76_L004


title: P34-CP7-A08_S8_L001


title: P34-CP7-B07_S19_L002


title: P34-CP7-A03_S3_L003


title: P34-CP7-A02_S2_L001


title: P34-CP7-B06_S18_L001


title: P34-CP7-C04_S28_L003


title: P34-CP7-F02_S62_L002


title: P34-CP7-A11_S11_L003


title: P34-CP7-F12_S72_L003


title: P34-CP7-H06_S90_L003


title: P34-CP7-C07_S31_L002


title: P34-CP7-D06_S42_L002


title: P34-CP7-E07_S55_L002


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title: P34-CP2-C1_S25_L001


title: P34-CP2-C3_S30_L004


title: P34-CP2-F9_S72_L003


title: P34-CP2-H10_S86_L004


title: P34-CP2-G6_S81_L001


title: P34-CP2-A5_S8_L001


title: P34-CP2-D1_S37_L002


title: P34-CP2-G8_S83_L004


title: P34-CP2-D3_S42_L003


title: P34-CP2-H11_S87_L003


title: P34-CP2-H12_S88_L003


title: P34-CP2-B2_S17_L004


title: P34-CP2-F12_S64_L004


title: P34-CP2-A9_S12_L001


title: P34-CP2-H1_S85_L004


title: P34-CP2-H1_S85_L001


title: P34-CP2-A8_S11_L002


title: P34-CP2-F10_S62_L003


title: P34-CP2-H5_S92_L004


title: P34-CP2-A4_S7_L002


title: P34-CP2-G3_S78_L001


title: P34-CP2-B8_S23_L004


title: P34-CP2-F8_S71_L004


title: P34-CP2-E1_S49_L002


title: P34-CP2-E9_S60_L004


title: P34-CP2-H7_S94_L004


title: P34-CP2-C11_S27_L001


title: P34-CP2-A12_S4_L001


title: P34-CP2-B9_S24_L003


title: P34-CP2-C12_S28_L002


title: P34-CP2-B3_S18_L004


title: P34-CP2-H6_S93_L002


title: P34-CP2-C1_S25_L002


title: P34-CP2-D8_S47_L001


title: P34-CP2-D12_S40_L004


title: P34-CP2-E5_S56_L002


title: P34-CP2-G4_S79_L002


title: P34-CP2-A11_S3_L002


title: P34-CP2-A5_S8_L004


title: P34-CP2-B4_S19_L002


title: P34-CP2-A3_S6_L003


title: P34-CP2-F10_S62_L002


title: P34-CP2-G7_S82_L003


title: P34-CP2-H5_S92_L003


title: P34-CP2-E6_S57_L004


title: P34-CP2-H6_S93_L001


title: P34-CP2-E3_S54_L001


title: H03_S87_L002


title: P34-CP2-F2_S65_L001


title: H03_S87_L003


title: G07_S79_L002


title: H03_S87_L001


title: P34-CP2-D4_S43_L001


title: E08_S56_L004


title: G07_S79_L001


title: G07_S79_L003


title: E08_S56_L002


title: G07_S79_L004


title: E08_S56_L003


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title: Undetermined_S0_L001


title: H11_S95_L002


title: H11_S95_L001


title: F12_S72_L004


title: F12_S72_L003


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title: H05_S89_L002


title: H11_S95_L004


title: H05_S89_L004


title: C11_S35_L002


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title: C09_S33_L003


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title: H11_S95_L003


title: H03_S87_L004


title: F12_S72_L002


title: A02_S2_L003


title: A09_S9_L001


title: A02_S2_L002


title: A02_S2_L004


title: H04_S88_L004


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title: H04_S88_L001


title: G06_S78_L004


title: F12_S72_L001


title: G06_S78_L003


title: C09_S33_L002


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title: G04_S76_L004


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title: G04_S76_L001


title: D06_S42_L002


title: D06_S42_L003


title: G04_S76_L002


title: C03_S27_L004


title: H04_S88_L002


title: B03_S15_L004


title: H01_S85_L003


title: B03_S15_L002


title: G08_S80_L001


title: C03_S27_L001


title: C03_S27_L003


title: B03_S15_L001


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title: E04_S52_L004


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title: D02_S38_L004


title: D06_S42_L001


title: D02_S38_L002


title: D02_S38_L001


title: C05_S29_L002


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title: C07_S31_L001


title: C07_S31_L003


title: F05_S65_L004


title: F05_S65_L003


title: F05_S65_L002


title: F05_S65_L001


title: B06_S18_L004


title: C01_S25_L004


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title: B06_S18_L002