NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE63269 Query DataSets for GSE63269
Status Public on May 20, 2015
Title Drop-Seq analysis of mixtures of human (HEK) and mouse (3T3) cells (1000/100 STAMPs) at 50 cells per microliter
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary A cell supsension containing an equal mix of HEK and 3T3 cells was used in Drop-Seq, a novel technology for high-throughput single cell mRNAseq. The cells were mixed at a final concentration of 50 cells per microliter.
 
Overall design An estimated 1000 STAMPs and 100 STAMPs were separately selected for sequencing to obtain both high coverage and broad coverage data
 
Contributor(s) Macosko EZ
Citation(s) 26000488, 32888429
Submission date Nov 13, 2014
Last update date Apr 25, 2022
Contact name Evan Macosko
E-mail(s) [email protected]
Organization name Harvard Medical School
Department Genetics
Lab McCarroll Lab
Street address 77 Avenue Louis Pasteur, NRB 260
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platforms (1)
GPL19415 Illumina NextSeq 500 (Homo sapiens; Mus musculus)
Samples (2)
GSM1544798 SpeciesMix_ThousandSTAMPs_50cellspermicroliter
GSM1544799 SpeciesMix_HundredSTAMPs_50cellpermicroliter
This SubSeries is part of SuperSeries:
GSE63473 Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
Relations
BioProject PRJNA267124
SRA SRP049775

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
GSE63269_RAW.tar 15.9 Gb (http)(custom) TAR (of BAM, TXT)
GSE63269_hg19_mm10_transgenes_reference_metadata.tar.gz 1.7 Gb (ftp)(http) TAR
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