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Sample GSM3716613 Query DataSets for GSM3716613
Status Public on Apr 11, 2019
Title POC_snRNAseq_Lane2
Sample type SRA
 
Source name HEK_MEF_Jurkat
Organisms Homo sapiens; Mus musculus
Characteristics cell type: mixture of HEK,HMECS, and Jurkats
multi-seq reagent: LMO/CMO/None
Extracted molecule nuclear RNA
Extraction protocol Single cells were lysed in droplets using the 10X Chromium instrument. Reverse transcription was performed in droplet and library construction was performed according to the 10X Chromium Single Cell 3' Reagent Kit User Guide Rev C.
Library preparation was performed according to the 10X Chromium Single Cell 3' Reagent Kit User Guide Rev C and using a custom MULTI-seq library preparation protocol.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Description nuclear polyA RNA
processed data files:
POC_nuc_barcodes.tsv
POC_nuc_genes.tsv
POC_nuc_matrix.mtx
Data processing FASTQ files were generated directly from Illumina BCL files using Illumina bcl2fastq version 2.19
Gene-barcode matrices were determined using 10X Genomics Cellranger version 2.2 with default parameters (cellranger count).
Read-depth normalization was performed (when appropriate) using 10X Genomics CellRanger version 2.2 with default parameters (cellranger aggr).
Low-quality cell barcodes were excluded as described in the paper.
MULTI-seq barcode alignment and sample classification results were performed using the deMULTIplex R package (https://github.com/chris-mcginnis-ucsf/MULTI-seq)
Genome_build: hg19 (Samples 1-3, 6-12), concatenated mm10-hg19 (Sample 13-14), concatenated mm10-hg19 pre-mRNA (Sample 4-5)
Supplementary_files_format_and_content: Expression Libraries: gene-cell matrices are provided in the format produced by CellRanger. The matrix itself is in matrix market exchange format, with the column (cell barcodes) and row (gene identities) labels given in TSV format as described in the cellranger documentation. MULTI-seq Libraries: MULTI-seq barcode-cell matrices are provided in CSV format.
 
Submission date Apr 10, 2019
Last update date Apr 14, 2019
Contact name Christopher S McGinnis
E-mail(s) chris.mcginnis@ucsf.edu
Organization name University of California, San Francisco
Department Pharmaceutical Chemistry
Lab Zev Gartner
Street address 600 16th Street
City San Francisco
State/province CA
ZIP/Postal code 94158
Country USA
 
Platform ID GPL25526
Series (1)
GSE129578 MULTI-seq: Universal sample multiplexing for single-cell RNA sequencing using lipid-tagged indices
Relations
BioSample SAMN11388197
SRA SRX5676298

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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