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Sample GSM7337014 Query DataSets for GSM7337014
Status Public on Jun 20, 2024
Title 17.1 Wk human fetal, snATAC-seq, rep F3
Sample type SRA
 
Source name Kidney tissue
Organism Homo sapiens
Characteristics tissue: Kidney tissue
cell type: Kidney cells
age: 17.1 Wk human fetal
Extracted molecule genomic DNA
Extraction protocol From the harvested P0 mouse kidneys, nuclei were isolated as previously described in(Wilson et al., 2019). Briefly, flash frozen kidney pieces were thawed on ice and dissected into smaller pieces (<1mm) with a razor blade and then dounced in cold Nuclei EZ Lysis Buffer (Sigma, N3408) supplemented with protease inhibitor (Roche; 05892791001) and RNAse inhibitors (Promega, N2615; Thermo Fisher Scientific, AM2696). The tissue was dounce grinded 30 times with a loose pestle (Sigma, P0485), and then filtered through a 200um strainer (pluriSelect, 43-50200). The tissue was dounce grinded 10 times with a tight pestle, and then incubated for 5 mins on ice. Cells were filtered through 40uM filter (pluriSelect ,43-50040) and pelleted at 500g for 5min at 4°C in a swinging bucket centrifuge. Supernatant was removed and nuclei pellet resuspended in Nuclei EZ lysis buffer with RNAse inhibitors, incubated an additional 5 mins on ice and pelleted again. The final pellet was resuspended in 4°C Nuclei Buffer (10X Genomics, #2000207).
Chromium_NextGEM_SingleCell_ATAC_ReagentKits_v1.1_UserGuide (CG000209)
 
Library strategy ATAC-seq
Library source genomic
Library selection other
Instrument model Illumina NovaSeq 6000
 
Description 10X Chromium Single Cell ATAC v1.1
Data processing Sequencing reads were aligned to the mouse genome (atac-GRCh38-1.2.0) with the Cell Ranger atac software (version 1.2.0) using STAR aligner on the University of Southern California High Performance Cluster. The samples were aggregated using cellranger-atac aggr. Non-nucleotide, processed feature-barcode information is provided. Controlled access to raw fastq files is available through dbGaP. The files used in the analysis are provided (fragments.tsv.gz, fragments.tsv.gz.tbi, singlecell.csv, filtered_peak_bc_matrix.h5) compressed into tar.gz files.
Assembly: atac-GRCh38-1.2.0
Supplementary files format and content: fragments.tsv.gz
Supplementary files format and content: fragments.tsv.gz.tbi
Supplementary files format and content: singlecell.csv
Supplementary files format and content: filtered_peak_bc_matrix.h5
 
Submission date May 13, 2023
Last update date Jun 20, 2024
Contact name Andrew P McMahon
E-mail(s) amcmahon@med.usc.edu
Phone 323-442-7847
Organization name University of Southern California
Department Stem Cell Biol & Regen Med
Lab Andrew McMahon
Street address 1425 San Pablo St, BCC 312
City Los Angeles
State/province California
ZIP/Postal code 90033
Country USA
 
Platform ID GPL24676
Series (2)
GSE232478 Comparative single-cell analyses identify shared and divergent features of human and mouse kidney development [human ATAC-seq]
GSE232482 Comparative single-cell analyses identify shared and divergent features of human and mouse kidney development

Supplementary file Size Download File type/resource
GSM7337014_Human_snATAC-seq_17.1Wk_F3_filtered_peak_bc_matrix_fragments_singlecell.tar.gz 3.9 Gb (ftp)(http) TAR
Raw data not provided for this record
Processed data provided as supplementary file

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