NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE207308 Query DataSets for GSE207308
Status Public on Oct 04, 2022
Title SHARE-seqV2 for single-cell epigenomic and transcriptomic mapping of human hematopoiesis at scale
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary A growing body of single-cell multi-omic tools enables a better understanding of gene regulation underlying development and disease. Tools mapping chromatin and gene expression (such as SHARE-seq) are limited in sensitivity and scalability. Here, we describe SHARE-seqV2 and its associated cloud-computing resource, enabling single-cell analysis at improved quality, robustness, and scale. We apply SHARE-seqV2 across various cell lines, primary tissues, and immune cells, demonstrating a generalizable platform for single-cell multi-omics.
 
Overall design SHARE-seqV2 to profile chromatin accessibility and gene expression in the same cell from cell lines (HEK and 3T3), mouse colon, cultured HSC, and primey BMMC.
 
Contributor(s) Ma S, Buenrostro J
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Jun 30, 2022
Last update date Dec 09, 2022
Contact name Sai Ma
E-mail(s) masai.zju@gmail.com
Organization name Icahn School of Medicine at Mount Sinai
Street address 1425 Madison Ave
City New York
ZIP/Postal code 10026
Country USA
 
Platforms (3)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
GPL25526 Illumina NovaSeq 6000 (Homo sapiens; Mus musculus)
Samples (8)
GSM6284343 species mixing.ATAC
GSM6284344 HSC.ATAC
GSM6284345 colon.ATAC
Relations
BioProject PRJNA854664

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE207308_RAW.tar 3.4 Gb (http)(custom) TAR (of CSV, H5, TSV, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap