GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE124742 Query DataSets for GSE124742
Status Public on Feb 18, 2020
Title Pancreas single cell patch-seq links physiologic dysfunction in diabetes to transcriptomic phenotypes
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Combined single-cell RNAseq and electrophysiological profiling of human pancreatic islet cells (pancreas patch-seq) to link transcriptomic phenotypes of islet cells to their physiologic properties.
Overall design The dataset contains 1,369 pancreas patch-seq cells from human donors (nondiabetic and type II diabetes), 348 cryopreserved patch-seq cells (nondiabetic and type I diabetes) and 3,518 FACS islet cells from the same donors. In total cells from 18 nondiabetic , 7 T2D donors, 3 T1D (cryopreserved) and 3 nondiabetic donors (cryopreserved) were used. Single-cell RNA libraries are done using SmartSeq2.
Contributor(s) Camunas-Soler J, Dai X, Hang Y, Kim SK, MacDonald P, Quake SR
Citation(s) 32302527, 37231096
Submission date Jan 07, 2019
Last update date Oct 18, 2023
Contact name Joan Camunas-Soler
Phone 6504604767
Organization name Stanford University
Department Bioengineering
Lab Quake Lab
Street address 318 Campus Drive
City Stanford
State/province California
ZIP/Postal code 94305
Country USA
Platforms (2)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (8477)
GSM3544731 1001200501_A1
GSM3544732 1001200501_A10
GSM3544733 1001200501_A11
BioProject PRJNA513339
SRA SRP176466

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 54.2 Mb (ftp)(http) TAB
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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