title: 12D_M_324


title: 12D_M_320

status: Public on May 18 2023

type: SRA

city: La Jolla

first: Joseph

middle: R

last: Ecker

state: CA

address: 10010 North Torrey Pines Road

department: Genomic Analysis Laboratory

country: USA

institute: HHMI-Salk-Institute

library_source: genomic

data_processing:
Reads trimed with Cutadapt for adapters and low quality bases (Phred score >= 20)
The resulting files are mapped to in-silico bisulfite converted mm10 reference genome using Bismark.
The raw BAM file will be filtered using samtools to filter reads by MAPQ > 10 and use Picard to remove PCR duplicates
Tab-delimited files (ALLC files) describing the quantity of unmethylated and methylated cytosine base calls will be generated with in-house developing package using the filtered BAM files
Assembly: mm10
Supplementary files format and content: tab-delimited files (ALLC files) describing the quantity of unmethylated and methylated cytosine base calls. Columns are: 1. Chromosome, 2. Position, 3. Strand, 4. Cytosin Context, 5. methylated base call, 6. total mapped base call, 7. not used, place holder column
Library strategy: snmC-seq3

molecule: genomic DNA

organism: Mus musculus

source_name: C57BL/6J Male P56 Mouse Brain

growth_protocol: All mice are C57BL/6J Male, brain dissected in P56

extract_protocol:
the brain of P56 male C57BL/6J mouse will be removed and cut into 600 microns thick coronal sections using a tissue matrix. Then each region will be microdissected from the coronal tissue sections based on identified landmarks and brain atlas coordinates, as defined in Allen brain atlas CCF3 (Avaliable at: http://atlas.brain-map.org). For each dissection region, the tissue from several littermate mice will be combined together into to separate replicate groups. The number of animals in a replicate depends on the size of the tissue. Nuclei preparation will be stained with the fluorescently labeled anti-NeuN body and nucleic acid stain Hoechst 33342.
Library prepared following protocol discribed in Luo, Chongyuan, Angeline Rivkin, Jingtian Zhou, Justin P. Sandoval, Laurie Kurihara, Jacinta Lucero, Rosa Castanon, et al. 2018. “Robust Single-Cell DNA Methylome Profiling with snmC-seq2.” Nature Communications 9 (1): 3824.

tag: brain region

tag: age

tag: strain


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title: 12C_M_82


title: 12C_M_79


title: 12C_M_75


title: 12C_M_77


title: 12C_M_72


title: 12C_M_74


title: 12C_M_78


title: 12C_M_71


title: 12C_M_94


title: 12C_M_70


title: 12C_M_87


title: 12C_M_65


title: 12C_M_66


title: 12C_M_63


title: 12C_M_64


title: 12C_M_76


title: 12C_M_68


title: 12C_M_69


title: 12C_M_57


title: 12C_M_62


title: 12C_M_56


title: 12C_M_51


title: 12C_M_53


title: 12C_M_61


title: 12C_M_50


title: 12C_M_60


title: 12C_M_58


title: 12C_M_55


title: 12C_M_59


title: 12C_M_52


title: 12C_M_49


title: 12C_M_44


title: 12C_M_48


title: 12C_M_47


title: 12C_M_67


title: 12C_M_43


title: 12C_M_46


title: 12C_M_42


title: 12C_M_45


title: 12C_M_39


title: 12C_M_40


title: 12C_M_54


title: 12C_M_37


title: 12C_M_73


title: 12C_M_38


title: 12C_M_41


title: 12C_M_36


title: 12C_M_35


title: 12C_M_32


title: 12C_M_28


title: 12C_M_33


title: 12C_M_34


title: 12C_M_21


title: 12C_M_22


title: 12C_M_26


title: 12C_M_27


title: 12C_M_31


title: 12C_M_24


title: 12C_M_30


title: 12C_M_25


title: 12C_M_29


title: 12C_M_23


title: 12C_M_19


title: 12C_M_15


title: 12C_M_18


title: 12C_M_17


title: 12C_M_16


title: 12C_M_20


title: 12C_M_8


title: 12C_M_11


title: 12C_M_9


title: 12C_M_12


title: 12C_M_13


title: 12C_M_10


title: 12C_M_6


title: 12C_M_5


title: 12C_M_0


title: 12C_M_4


title: 12C_M_3


title: 12C_M_1


title: 12C_M_14


title: CFA_mPFC_rep2

city: Guangzhou

first: Lianyan

last: Huang

state: Guangdong

address: 74 Zhongshaner Rd

country: China

institute: Sun Yat-sen University

library_source: transcriptomic

data_processing:
Paired-end raw reads were first trimmed using Trimmomatic v0.39 to remove the adapter sequence.
Reads were mapped with HISAT2 v2.2.1 with the following options: --no-mixed
Genome-specific reads were extracted and converted into BAM format with samtools view -b -h -q 10
Gene-level counts quantification based on GENCODE release M25 comprehensive gene annotation file was run on aligned reads using featureCounts v2.0.1 with the following parameter -p -B -P -D 1000 -t gene -f
Assembly: mm10
Supplementary files format and content: tab-delimited text file includes raw counts for all samples

molecule: polyA RNA

source_name: mPFC dissected from male mice with CFA exposure

extract_protocol:
Three brains of each group were cut on a brain matrix in ice-cold 0.9% saline. The mPFC and BNST of each brain were dissected and kept on TRIzol at -80℃ for further extraction of RNA.
RNA libraries for RNA-seq were prepared by VAHTS mRNA-seq V3 Library Kit for Illumina following manufacturer's protocols done by Berry Genomics Co., Ltd. (Beijing, China).

treatment_protocol: Mice in the chronic pain group were sacrificed 72 hours after CFA exposure. Mice in the acute pain group were sacrificed 24 hours after formalin injection. Mice without CFA or formalin injection were sacrificed as the control group.

tag: Sex

value: male

tag: genotype

value: wild-type

tag: treatment

value: CFA exposure

tag: tissue

value: brain tissue

tag: tissue region

value: mPFC


title: CFA_mPFC_rep1


title: CFA_BNST_rep2

source_name: BNST dissected from male mice with CFA exposure

value: BNST


title: CFA_BNST_rep1


title: Formalin_mPFC_rep1

source_name: mPFC dissected from male mice with Formalin exposure

value: Formalin exposure


title: Formalin_BNST_rep3

source_name: BNST dissected from male mice with Formalin exposure


title: Formalin_mPFC_rep2


title: CFA_mPFC_rep3


title: Formalin_mPFC_rep3


title: Formalin_BNST_rep2


title: E17.5_Whole_Pancreas_2_lane_1

city: San Francisco

first: Julie

middle: B

last: Sneddon

state: California

address: 500 Parnassus Ave.

institute: UCSF

library_source: genomic single cell

data_processing:
FASTQ files were generated from raw sequencing reads using the mkfastq function from the CellRanger ATAC software from 10x Genomics.
.BAM files and single-cell accessibility counts were generated using the cellranger-atac count function from the CellRanger ATAC software from 10x Genomics.
Cell Ranger ATAC processed files were then analyzed using ArchR (version 1.0.1)
Assembly: Reference genome used was Mus musculus assembly mm10, annotation gencode.vM17.basic
Supplementary files format and content: filtered_peak_bc_matrix.h5
Supplementary files format and content: fragments.tsv.gz
Supplementary files format and content: singlecell.csv

source_name: pancreas

extract_protocol: Nuclei were isolated from sorted WT or YFP+ cells. Cells were centrifuged at 500 rcf for 5 min at 4C. All the supernatant was removed without disrupting the cell pellet. 100 ul chilled 0.1x lysis buffer was then added and pipetted 5 times to fully mix the buffer with the cells, and incubated for 3 min on ice to achieve full cell lysis. 1ml chilled wash buffer was added to the lysed cells to terminate the lysis. The lysed cells were centrifuged at 500 rcf for 5 min at 4C and supernatant was gently removed. Nuclei were then resuspended in 50ul wash buffer and transferred to a 200ul tube. Nuclei were spun down at 500 rcf for 5 minutes and resuspended in 10ul 1x Nuclei buffer (10x Genomics, PN 2000153). 2 ul of the nuclei suspension was used for determining the concentration of nuclei using hemacytometer, and the cell nuclei quality was assessed at the same time. Nuclei from each sample were then immediately processed with Chromium Next GEM Single Cell ATAC Reagent Kits v1.1.

treatment_protocol: E14.5 and E17.5 pancreata from either WT B6 or eFev-YFP transgenic mice were dissociated to single cells and subjected to FACS. WT pancreas was sorted for all live single cells, and Fev-YFP+ pancreas was further sorted for CD140a-/CD326+/YFP+ cells.

value: pancreas

tag: cell type

value: E17.5 embryonic pancreas

value: FACS sorted for live single cells


title: E17.5_Whole_Pancreas_2_lane_2


title: E14.5_Whole_Pancreas_2


title: 12C_M_7


title: CFA_BNST_rep3


title: ctrl_mPFC_rep2

source_name: mPFC dissected from male mice without treatment


title: ctrl_BNST_rep1

source_name: BNST dissected from male mice without treatment


title: ctrl_mPFC_rep1


title: ctrl_mPFC_rep3


title: E15 C57BL/6J Cochlea 2

city: Baltimore

first: Kevin

last: Rose

address: 670 West Baltimore Street

department: OTO-HNS

institute: University of Maryland, Baltimore

description: 10x Genomics

library_source: transcriptomic single cell

data_processing:
The demultiplexing, barcoded processing, gene counting and aggregation were made using the Cell Ranger software v6.1.2 (https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/what-is-cell-ranger)
Supplementary files format and content: GRCm38 mm10
Supplementary files format and content: Tab-separated values files and matrix files

molecule: total RNA

source_name: Cochlea

extract_protocol:
Cochleae were harvested from E15/P7 C57BL/6J mice. Single cell dissociation was performed with Papain and Thermolysin. FACs was completed to ensure no debris was presented. Single cell capture was completed on the 10x Genomics platform before sequencing on the Illumina NovaSeq 6000.
10x Genomics manufactors instructions via the Chromium single cell 3' reagent kit v3. Briefly, Cochlear cells were resuspended in the master mix and loaded together with partitioning oil and gel beads into the chip to generate the gel bead-in-emulsion (GEM). The poly-A RNA from the cell lysate contained in every single GEM was retrotranscripted to cDNA, which contains an Ilumina R1 primer sequence, Unique Molecular Identifier (UMI) and the 10x Barcode. The pooled barcoded cDNA was then cleaned up with Silane DynaBeads, amplified by PCR and the apropiated sized fragments were selected with SPRIselect reagent for subsequent library construction. During the library construction Ilumina R2 primer sequence, paired-end constructs with P5 and P7 sequences and a sample index were added.

value: Cochlea

value: Wildtype

value: All Cochlear Cells


title: E15 C57BL/6J Cochlea 1

description: 10x Genomics


title: Formalin_BNST_rep1


title: E17.5 whole pancreas

extract_protocol: Nuclei were isolated from sorted WT or YFP+ cells. Cells were centrifuged at 500 rcf for 5 min at 4C. All the supernatant was removed without disrupting the cell pellet. 100 ul chilled 0.1x lysis buffer was then added and pipetted 5 times to fully mix the buffer with the cells, and incubated for 3 min on ice to achieve full cell lysis. 1ml chilled wash buffer was added to the lysed cells to terminate the lysis. The lysed cells were centrifuged at 500 rcf for 5 min at 4C and supernatant was gently removed. Nuclei were then resuspended in 50ul wash buffer and transferred to a 200ul tube. Nuclei were spun down at 500 rcf for 5 minutes and resuspended in 10ul 1x Nuclei buffer (10x Genomics, PN 2000153). 2 ul of the nuclei suspension was used for determining the concentration of nuclei using hemacytometer, and the cell nuclei quality was assessed at the same time. 12,500  nuclei for the E14.5 whole pancreas sample, 5,000 nuclei for the eFev-YFP+ sample and 28,500 for the E17.5 whole pancreas were then immediately processed with Chromium Next GEM Single Cell ATAC Reagent Kits v1.1.

tag: developmental stage

tag: cell population


title: E14.5 Fev-YFP+ sorted

description: FACS sorted for live single cells that are CD140a-/CD326+/YFP+.

data_processing:
FASTQ files were generated from raw sequencing reads using the mkfastq function from the CellRanger ATAC software from 10x Genomics.
.BAM files and single-cell accessibility counts were generated using the cellranger-atac count function from the CellRanger ATAC software from 10x Genomics.
Cell Ranger ATAC processed files were then analyzed using ArchR (version 1.0.1).
Assembly: Reference genome used was Mus musculus assembly mm10, annotation gencode.vM17.basic.
Supplementary files format and content: filtered_peak_bc_matrix.h5
Supplementary files format and content: fragments.tsv.gz
Supplementary files format and content: fragments.tsv.gz.tbi
Supplementary files format and content: singlecell.csv

extract_protocol:
Nuclei were isolated from sorted WT or YFP+ cells. Cells were centrifuged at 500 rcf for 5 min at 4C. All the supernatant was removed without disrupting the cell pellet. 100 ul chilled 0.1x lysis buffer was then added and pipetted 5 times to fully mix the buffer with the cells, and incubated for 3 min on ice to achieve full cell lysis. 1ml chilled wash buffer was added to the lysed cells to terminate the lysis. The lysed cells were centrifuged at 500 rcf for 5 min at 4C and supernatant was gently removed. Nuclei were then resuspended in 50ul wash buffer and transferred to a 200ul tube. Nuclei were spun down at 500 rcf for 5 minutes and resuspended in 10ul 1x Nuclei buffer (10x Genomics, PN 2000153). 2 ul of the nuclei suspension was used for determining the concentration of nuclei using hemacytometer, and the cell nuclei quality was assessed at the same time. 12,500 nuclei for the whole pancreas sample, 5,000 nuclei for the eFev-YFP+ sample and 28,500 for the E17.5 whole pancreas were then immediately processed with Chromium Next GEM Single Cell ATAC Reagent Kits v1.1.
Isolated nuclei were transposed and partitioned using the Chromium Next GEM Single Cell ATAC Kit v1.1, following manufacturer's instructions. The resulting library was then run on the Illumina NovaSeq 6000 platform.

treatment_protocol: E14.5  and E17.5 pancreata from either WT B6 or eFev-YFP transgenic mice were dissociated to single cells and subjected to FACS. WT pancreas was sorted for all live single cells, and Fev-YFP+ pancreas was further sorted for CD140a-/CD326+/YFP+ cells.

value: embryonic (E14.5)

value: eFev-YFP+


title: P7 C57BL/6J Cochlea

description: 10x Genomics


title: E14.5 whole pancreas

description: FACS sorted for live single cells.

value: WT (C57BL/6J)

value: live single cells


title: Aortic cells_6_HFD_VG_ADT

first: Supriyo

last: De

state: Maryland

address: 251 Bayview Blvd

department: Laboratory of Genetics and Genomics

institute: NIA-IRP, NIH

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_6_Female_HFD_VG_barcodes.tsv.gz
Pool_6_Female_HFD_VG_features.tsv.gz
Pool_6_Female_HFD_VG_matrix.mtx.gz

library_source: other

data_processing:
Pre-processing of sequencing results and generation of count matrices for both mRNA and ADT libraries was performed following Feature Barcoding tool pipeline in the Cell Ranger (version 6.1.1; 10X Genomics) with using mouse mm10 reference genome.
Further processing was done with Seurat v 4.1.0
Assembly: mm10
Supplementary files format and content: barcodes.tsv.gz, features.tsv.gz, matrix.mtx.gz
Library strategy: CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by sequencing)

molecule: protein

source_name: Aorta

extract_protocol:
Mice were anesthetized and blood was extracted using cardiac puncture. The whole aorta was collected after left ventricular perfusion with 10 mL of phosphate-buffered saline (PBS) and quickly transferred to cold PBS. To prepare a single-cell suspension, perivascular adipose tissue was removed and whole aortas from three mice were cut into ~1 mm pieces and digested with an enzyme solution consisting of 10mg/ml Collagenase II (Sigma) and 1mg/ml elastase (Worthington) for 15 min at 37 °C. The cell suspension was strained through a 40-μm filter and centrifuged at 500g x 5 minutes.
The single cell libraries were prepared with Chromium Next GEM Single Cell 3' Kit v3.11 (10x Genomics) with Chromium Next GEM Chip G Single Cell Kit (10x Genomics) according to manufacturer’s protocol with Chromium Controller (10x Genomics).
Between 5,000 and 10,000 single cells were used for GEM generation.
Then the cDNAs were prepared and separated by SPRI beads for cDNA library and protein library, and checked on the Agilent Bioanalyzer with High Sensitivity DNA kit (Agilent)
Prepared cDNAs were used for library preparation for sequencing and final libraries were checked on the Agilent Bioanalyzer with DNA 1000 kit (Agilent).
The libraries were sequenced with Illumina Nova-sequencer at a depth of 70,000 - 120,000 reads per cell.

value: Aorta

value: 7 mo

value: HFD + DPP4i

value: Female

value: Aortic cells

tag: library type

value: ADT

tag: antibodies/tags

value: TotalSeq-C0987 anti-Allophycocyanin (APC) Antibody


title: Aortic cells_2_ND_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_2_Female_reg_barcodes.tsv.gz
Pool_2_Female_reg_features.tsv.gz
Pool_2_Female_reg_matrix.mtx.gz

value: ND

value: mRNA


title: Aortic cells_2_ND_ADT

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_2_Female_reg_barcodes.tsv.gz
Pool_2_Female_reg_features.tsv.gz
Pool_2_Female_reg_matrix.mtx.gz


title: Aortic cells_3_HFD_ADT

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_3_Male_HFD_barcodes.tsv.gz
Pool_3_Male_HFD_features.tsv.gz
Pool_3_Male_HFD_matrix.mtx.gz

value: HFD + Vehicle

value: Male


title: Aortic cells_3_HFD_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_3_Male_HFD_barcodes.tsv.gz
Pool_3_Male_HFD_features.tsv.gz
Pool_3_Male_HFD_matrix.mtx.gz


title: Aortic cells_6_HGD_VG_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_6_Female_HFD_VG_barcodes.tsv.gz
Pool_6_Female_HFD_VG_features.tsv.gz
Pool_6_Female_HFD_VG_matrix.mtx.gz


title: Aortic cells_4_HFD_ADT

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_4_Female_HFD_barcodes.tsv.gz
Pool_4_Female_HFD_features.tsv.gz
Pool_4_Female_HFD_matrix.mtx.gz


title: Aortic cells_5_HFD_VG_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_5_Male_HFD_VG_barcodes.tsv.gz
Pool_5_Male_HFD_VG_features.tsv.gz
Pool_5_Male_HFD_VG_matrix.mtx.gz


title: Aortic cells_1_ND_ADT

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_1_Male_reg_barcodes.tsv.gz
Pool_1_Male_reg_features.tsv.gz
Pool_1_Male_reg_matrix.mtx.gz


title: Aortic cells_4_HFD_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_4_Female_HFD_barcodes.tsv.gz
Pool_4_Female_HFD_features.tsv.gz
Pool_4_Female_HFD_matrix.mtx.gz


title: Aortic cells_1_ND_mRNA

description:
3' mRNA library: read1 file contains cell barcode and UMI; read2 file contains transcript
poly A RNA
Pool_1_Male_reg_barcodes.tsv.gz
Pool_1_Male_reg_features.tsv.gz
Pool_1_Male_reg_matrix.mtx.gz


title: ctrl_BNST_rep3

value: male

value: wild-type

value: brain tissue

value: BNST


title: ctrl_BNST_rep2


title: ChIPseq_H3K27ac_NPC_2982-1KO

city: Shanghai

first: Yan

last: Jiang

address: 131 Dongan rd

department: Institutes of Brain Science

institute: Fudan University

data_processing:
Sequenced reads were trimmed for adapter sequence, and masked for low-complexity or low-quality sequence (--quality 20 --phred33 --stringency 1 --length 20 --paired), then mapped to mm10 whole genome using Bowtie2 v2.3.4.3 with --phred33, --sensitive, look for multiple alignments and report best with MAPQ, --maxins 500.
diffReps was used for differential analysis with 1KB window and other default parameters.
Assembly: mm10
Supplementary files format and content: annotated text files
Sequenced reads were trimmed for adapter sequence, and masked for low-complexity or low-quality sequence (--quality 20 --phred33 --stringency 1 --length 20 --paired), then mapped to mm10 whole genome using Bowtie2 v2.3.4.3 with --phred33, --sensitive, look for multiple alignments and report best with MAPQ, --maxins 500.
MACS2 was used for peak calling with --keep-dup 1; default shifting model.
Assembly: mm10
Supplementary files format and content: peak text files

source_name: Neurosphere culture from Ganglionic eminence

extract_protocol:
100,000 nuclei from GE_NPC were used for ChIPseq library preparation.
Native ChIP-seq were perform according to previous publication (Kundakovic et al., 2017). After incubated with A/G Magnetic beads (Thermo Scientific™, #88803), ChIP DNA was went through end repairing (End-it DNA Repair Kit, Epicentre, ER0720), A-tailing (Klenow Exo-minus, Epicentre, KL06041K), adapter ligation (Fast-Link kit (Epicentre, LK11025) using VAHTS DNA Adapters set2  (Vazyme, N802-01), and then PCR amplified using NEBNext 2X master mix (E7335S). SPRIselect beads (Beckman, B23318) was used for library size selection (1:0.55 followed by 1:1.12). The final library concentration was measured with Qubit4, and the quality was evaluated on Agilent 4200 TapeStation, and then sent for sequencing.

value: Neural progenitor cells

value: Nestin-KO

tag: gender

tag: chip antibody


title: ChIPseq_H3K27ac_NPC_2982-6KO


title: ChIPseq_H3K27ac_NPC_2982-2WT

value: WT


title: ChIPseq_H3K9me3_NPC_508-5KO


title: ChIPseq_H3K9me3_NPC_464-7WT


title: ChIPseq_H3K9me3_NPC_464-2WT

value: female


title: RNAseq_SKPCE_CAF3

city: Darlinghurst

first: Ruth

last: Pidsley

state: NSW

address: 384 Victoria Street

country: Australia

institute: Garvan Institute of Medical Research

data_processing:
150 bp paired-end reads were processed using Trim Galore (version 0.4.0) for adapter trimming.
STAR (version 2.4.0d) was used for mapping reads to the mm10/GRCm38 mouse genome build, with GENCODE vM13 used as a reference transcriptome.
Mapped reads where counted into genes using rsem (version 1.2.21) (Li and Dewey 2011)
Genome_build: mm10
Supplementary_files_format_and_content: tsv file of count data generated using rsem

source_name: Primary tumour (pancreas)

growth_protocol: All cells were grown in DMEM + 10% FBS + 1% P/S to 75% confluency.

extract_protocol:
RNA was extracted from KPC CAFs (in triplicate) using the Qiagen AllPrep kit. RNA concentration and integrity were assessed using the Agilent 4200 Tapestation station system, which confirmed sample RINs above 9.
Library preparation was performed using the KAPA mRNA HyperPrep Kit according to manufacturer’s protocol (Roche) and paired-end sequencing was performed using the Illumina NovaSeq 6000.

treatment_protocol: No drug treatment protocol.

value: PDX1cre, KrasKI/+,p53R172H/+,Ecad-GFP/+


title: RNAseq_SKPCE_CAF2


title: RNAseq_SKPCE_CAF1


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP200

city: Davis

first: Brian

middle: J

last: Bennett

address: 430 West Health Sciences Drive

institute: USDA ARS-WHNRC

data_processing:
Raw read data was filtered using HTStream (version 1.1.0, https://github.com/ibest/HTStream), which included screening for contaminants (such as PhiX and rRNA), PCR deduplication readout, quality-based trimming, adapter trimming, and overlapping paired-end reads. Genetic variants such as single nucleotide polymorphism (SNPs) and insertions/deletions (Sanger REL-1410) in eight founder strains were incorporated into the B6 reference strain genome (GRcm38/mm10) to generate individualized genomes.
After obtaining transcript sequences of all annotated genes in each 8-founder strain genome, the allele sequences for each transcript were incorporated into one pooled transcriptome for read alignment.
The pooled transcriptome was aligned to the individualized genomes of each strain, and then the expected read counts obtained from each transcript allele were quantified using an expectation maximization algorithm (EMASE, https://github.com/churchill-lab/emase).
We filtered in 13,094 genes (381 X-linked, 7 Y-linked, 15 mitochondrial genes, and 12,691 autosomal genes) with mean transcripts per million (TPM) greater than 1 in 162 liver samples.
Genome_build: Genetic variants such as single nucleotide polymorphism (SNPs) and insertions/deletions (Sanger REL-1410) in eight founder strains were incorporated into the B6 reference strain genome (GRcm38/mm10) to generate individualized genomes.
Supplementary_files_format_and_content: tab-delimited text files include TPM values for each Sample.

source_name: Liver

extract_protocol:
Total RNA was extracted from snap-frozen liver using miRVana total RNA isolation kit (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s protocol. The quality and amount of liver RNA were evaluated using a Bioanalyzer (Agilent, Inc., Santa Clara, CA). The average RNA-integrity score for 162 DO-F1 liver samples was 9.01 ± 0.4. RNA samples from 85 females and 77 males were submitted to the UC Davis DNA Technologies Core at the Genome Center. The RNA-seq libraries were constructed from 1 µg total RNA after poly-A library preparation. To minimize technical variability, all samples were assigned to each lane and the pooled libraries were sequenced on two lanes of the Illumina NovaSeq 6000 sequencing (Illumina Inc., San Diego, CA, USA) to achieve paired-end reads of at least 25 million 150 bp.
RNA libraries were prepared for sequencing using standard Illumina protocols

value: Diversity Outbred-F1

value: liver

value: 24 weeks

value: (CETP/ApoE3 Leiden X J:DO) F1

value: High fat/cholesterol diet


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP199


title: ChIPseq_H3K27ac_NPC_2982-8WT


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP197


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP194


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP198


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP193


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP196


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP192


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP195


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP186


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP189


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP184


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP185


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP190


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP187


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP191


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP181


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP183


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP182


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP180


title: ChIPseq_H3K9me3_NPC_508-7KO


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP179


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP178


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP175


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP176


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP177


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP174


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP188


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP173


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP172


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP171


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP167


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP169


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP168


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP166


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP163


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP165


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP162


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP161


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP159


title: ChIPseq_H3K27ac_NPC_508-4KO


title: ChIPseq_H3K27ac_NPC_508-8WT


title: ChIPseq_H3K9me3_NPC_304-6WT


title: ChIPseq_H3K9me3_NPC_304-3KO


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP160


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP158


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP157


title: Aortic cells_5_HGF_VG_ADT

description:
Antibody-derived oligonucleotide library: read1 file contains cell barcode and UMI; read2 file contains Antibody Derived Tag reads
Antibody-derived oligonucleotide (ADT)
Pool_5_Male_HFD_VG_barcodes.tsv.gz
Pool_5_Male_HFD_VG_features.tsv.gz
Pool_5_Male_HFD_VG_matrix.mtx.gz

value: Aorta

value: 7 mo

value: HFD + DPP4i

value: Aortic cells

value: ADT

value: TotalSeq-C0987 anti-Allophycocyanin (APC) Antibody


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP156


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP153

value: male


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP151


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP152


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP155


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP170


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP154


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP150


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP149


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP148


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP146


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP147


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP164


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP144


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP139


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP140


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP138


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP141


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP137


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP132


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP133


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP131


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP136


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP134


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP130


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP129


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP126


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP127


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP125


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP128


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP124


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP123


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP121


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP145


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP120


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP119


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP143


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP122


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP115


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP117


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP118


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP116


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP113


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP142


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP110


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP108


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP106


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP105


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP112


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP104


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP135


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP114


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP103


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP101


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP102


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP100


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP99


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP95


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP96


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP98


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP97


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP93


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP92


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP94


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP91


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP87


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP90


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP85


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP84


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP83


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP81


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP80


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP74


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP73


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP72


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP71


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP70


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP75


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP64


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP66


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP62


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP63


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP82


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP111


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP61


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP58


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP57


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP68


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP55


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP53


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP86


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP51


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP56


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP50


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP52


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP49


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP69


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP45


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP32


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP43


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP31


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP44


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP36


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP37


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP21


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP23


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP60


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP18


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP59


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP17


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP27


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP12


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP10


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP6


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP4


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP3


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP16


title: 12C_M_2590


title: 12C_M_2588


title: 12C_M_2589


title: 12C_M_2587


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP29


title: 12C_M_2584


title: 12C_M_2583


title: 12C_M_2585


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP30


title: 12C_M_2581


title: 12C_M_2578


title: 12C_M_2582


title: 12C_M_2580


title: 12C_M_2579


title: 12C_M_2573


title: 12C_M_2574


title: 12C_M_2577


title: Liver_High fat/cholesterol diet_(CETP/ApoE3 Leiden × J:DO) F1_BBDOP5


title: 12C_M_2572


title: 12C_M_2569


title: 12C_M_2568


title: 12C_M_2567


title: 12C_M_2565


title: 12C_M_2586


title: 12C_M_2564


title: 12C_M_2563


title: 12C_M_2561


title: 12C_M_2562


title: 12C_M_2559


title: 12C_M_2558


title: 12C_M_2557


title: 12C_M_2363


title: 12C_M_2576


title: 12C_M_2362


title: 12C_M_2575


title: 12C_M_2361


title: 12C_M_2571


title: 12C_M_2570


title: 12C_M_2364


title: 12C_M_2358


title: 12C_M_2360


title: 12C_M_2566


title: 12C_M_2352


title: 12C_M_2356


title: 12C_M_2359


title: 12C_M_2351


title: 12C_M_2353


title: 12C_M_2349


title: 12C_M_2350


title: 12C_M_2347


title: 12C_M_2348


title: 12C_M_2345


title: 12C_M_2560


title: 12C_M_2346


title: 12C_M_2342


title: 12C_M_2344


title: 12C_M_2341


title: 12C_M_2339


title: 12C_M_2340


title: 12C_M_2357


title: 12C_M_2355


title: 12C_M_2338


title: 12C_M_2334


title: 12C_M_2337


title: 12C_M_2335


title: 12C_M_2336


title: 12C_M_2332


title: 12C_M_2325


title: 12C_M_2326


title: 12C_M_2328


title: 12C_M_2331


title: 12C_M_2329


title: 12C_M_2327


title: 12C_M_2320


title: 12C_M_2330


title: 12C_M_2318


title: 12C_M_2317


title: 12C_M_2323


title: 12C_M_2322


title: 12C_M_2324


title: 12C_M_2319


title: 12C_M_2316


title: 12C_M_2312


title: 12C_M_2315


title: 12C_M_2310


title: 12C_M_2311


title: 12C_M_2309


title: 12C_M_2308


title: 12C_M_2306


title: 12C_M_2307


title: 12C_M_2304


title: 12C_M_2303


title: 12C_M_2302


title: 12C_M_2296


title: 12C_M_2300


title: 12C_M_2295


title: 12C_M_2299


title: 12C_M_2298


title: 12C_M_2297


title: 12C_M_2292


title: 12C_M_2301


title: 12C_M_2293


title: 12C_M_2294


title: 12C_M_2289


title: 12C_M_2286


title: 12C_M_2287


title: 12C_M_2290


title: 12C_M_2305


title: 12C_M_2276


title: 12C_M_2283


title: 12C_M_2284


title: 12C_M_2282


title: 12C_M_2281


title: 12C_M_2280


title: 12C_M_2278


title: 12C_M_2285


title: 12C_M_2277


title: 12C_M_2273


title: 12C_M_2279


title: 12C_M_2274


title: 12C_M_2288


title: 12C_M_2272


title: 12C_M_2291


title: 12C_M_2271


title: 12C_M_2269


title: 12C_M_2268


title: 12C_M_2266


title: 12C_M_2267


title: 12C_M_2264


title: 12C_M_2265


title: 12C_M_2314


title: 12C_M_2262


title: 12C_M_2260


title: 12C_M_2263


title: 12C_M_2261


title: 12C_M_2313


title: 12C_M_2275


title: 12C_M_2270


title: 12C_M_2259


title: 12C_M_2258


title: 12C_M_2257


title: 12C_M_2247


title: 12C_M_2244


title: 12C_M_2246


title: 12C_M_2251


title: 12C_M_2249


title: 12C_M_2252


title: 12C_M_2253


title: 12C_M_2256


title: 12C_M_2248


title: 12C_M_2245


title: 12C_M_2254


title: 12C_M_2250


title: 12C_M_2255


title: 12C_M_2238


title: 12C_M_2242


title: 12C_M_2239


title: 12C_M_2243


title: 12C_M_2240


title: 12C_M_2237


title: 12C_M_2171


title: 12C_M_2169


title: 12C_M_2170


title: 12C_M_2172


title: 12C_M_2168


title: 12C_M_2166


title: 12C_M_2241


title: 12C_M_2163


title: 12C_M_2165


title: 12C_M_2164


title: 12C_M_2159


title: 12C_M_2160


title: 12C_M_2162


title: 12C_M_2158


title: 12C_M_2161


title: 12C_M_2173


title: 12C_M_2155


title: 12C_M_2150


title: 12C_M_2156


title: 12C_M_2152


title: 12C_M_2154


title: 12C_M_2151


title: 12C_M_2144


title: 12C_M_2153


title: 12C_M_2146


title: 12C_M_2142


title: 12C_M_2143


title: 12C_M_2147


title: 12C_M_2148


title: 12C_M_2145


title: 12C_M_2137


title: 12C_M_2141


title: 12C_M_2140


title: 12C_M_2138


title: 12C_M_2135


title: 12C_M_2136


title: 12C_M_2134


title: 12C_M_2133


title: 12C_M_2130


title: 12C_M_2131


title: 12C_M_2129


title: 12C_M_2128


title: 12C_M_2126


title: 12C_M_2127


title: 12C_M_2125


title: 12C_M_2124


title: 12C_M_2119


title: 12C_M_2123


title: 12C_M_2139


title: 12C_M_2121


title: 12C_M_2122


title: 12C_M_2116


title: 12C_M_2117


title: 12C_M_2115


title: 12C_M_2111


title: 12C_M_2114


title: 12C_M_2110


title: 12C_M_2107


title: 12C_M_2109


title: 12C_M_2112


title: 12C_M_2118


title: 12C_M_2132


title: 12C_M_2106


title: 12C_M_2105


title: 12C_M_2103


title: 12C_M_2101


title: 12C_M_2102


title: 12C_M_2099


title: 12C_M_2098


title: 12C_M_2097


title: 12C_M_2113


title: 12C_M_2092


title: 12C_M_2094


title: 12C_M_2095


title: 12C_M_2091


title: 12C_M_2093


title: 12C_M_2108


title: 12C_M_2088


title: 12C_M_2086


title: 12C_M_2084


title: 12C_M_2087


title: 12C_M_2083


title: 12C_M_2082


title: 12C_M_2080


title: 12C_M_2078


title: 12C_M_2077


title: 12C_M_2079


title: 12C_M_2075


title: 12C_M_2081


title: 12C_M_2076


title: 12C_M_2074


title: 12C_M_2072


title: 12C_M_2071


title: 12C_M_2073


title: 12C_M_2090


title: 12C_M_2070


title: 12C_M_2069


title: 12C_M_2085


title: 12C_M_2067


title: 12C_M_2068


title: 12C_M_2062


title: 12C_M_2060


title: 12C_M_2066


title: 12C_M_2063


title: 12C_M_2065


title: 12C_M_2061


title: 12C_M_2064


title: 12C_M_2058


title: 12C_M_2059


title: 12C_M_2056


title: 12C_M_2054


title: 12C_M_2057


title: 12C_M_2051


title: 12C_M_2052


title: 12C_M_2047


title: 12C_M_2049


title: 12C_M_2053


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