|
Status |
Public on Sep 30, 2020 |
Title |
M14_S4 |
Sample type |
SRA |
|
|
Source name |
Transcriptome of single cells
|
Organisms |
Homo sapiens; Mus musculus |
Characteristics |
genome build: hg19_mm10 sample type: Cell Line condition: HEK293 and NIH/3T3
|
Extracted molecule |
polyA RNA |
Extraction protocol |
Seq-Well, 10x Chrominum V3, Smart-Seq2 Illumina Nextera XT
|
|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina NextSeq 500 |
|
|
Data processing |
Illumina bcl2fastq2.17.1.14 was used to generate fastqs from bcl files STAR was used to align the scRNA-seq data Regression analysis was done as described in manuscript Genome_build: hg19; mm10; hg19_mm10 Supplementary_files_format_and_content: human or mouse UMI-collapsed transcripts, gene counts
|
|
|
Submission date |
Jul 23, 2020 |
Last update date |
Oct 01, 2020 |
Contact name |
Ken Dower |
E-mail(s) |
Ken.Dower@pfizer.com
|
Organization name |
Pfizer
|
Department |
Inflammation & Immunology
|
Street address |
1 Portland Street
|
City |
Cambridge |
State/province |
MA |
ZIP/Postal code |
02139 |
Country |
USA |
|
|
Platform ID |
GPL19415 |
Series (1) |
GSE150672 |
Highly Efficient, Massively-Parallel Single-Cell RNA-Seq Reveals Cellular States and Molecular Features of Human Skin Pathology |
|
Relations |
BioSample |
SAMN15636377 |
SRA |
SRX8816036 |