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Series GSE183568 Query DataSets for GSE183568
Status Public on Sep 09, 2021
Title Combinatorial transcription factor profiles predict mature and functional human islet α and β cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Islet-enriched transcription factors (TFs) exert broad control over cellular processes in pancreatic α and β cells and changes in their expression are associated with developmental state and diabetes. However, the implications of heterogeneity in TF expression across islet cell populations are not well understood. To define this TF heterogeneity and its consequences for cellular function, we profiled >40,000 cells from normal human islets by scRNA-seq and stratified α and β cells based on combinatorial TF expression. Subpopulations of islet cells co-expressing ARX/MAFB (α cells) and MAFA/MAFB (β cells) exhibited greater expression of key genes related to glucose sensing and hormone secretion relative to subpopulations expressing only one or neither TF. Moreover, all subpopulations were identified in native pancreatic tissue from multiple donors. By Patch-seq, MAFA/MAFB co-expressing β cells showed enhanced electrophysiological activity. Thus, these results indicate combinatorial TF expression in islet α and β cells predicts highly functional, mature subpopulations.
 
Overall design Single cell RNAseq data of human pancreatic islets from 5 non-diabetic donors. 2 out of the 5 donors also include single cell RNAseq data from FAC-sorted alpha and beta cells. 1 out of the total 5 donors also include bulk rnaseq data.
 
Contributor(s) Brissova M, Powers AC
Citation(s) 34428183
Submission date Sep 07, 2021
Last update date Oct 13, 2021
Contact name Marcela Brissova
E-mail(s) marcela.brissova@Vanderbilt.edu
Organization name Vanderbilt University Medical Center
Street address 1211 Medical Center Dr
City Nashville
State/province TN
ZIP/Postal code 37232
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (26)
GSM5560782 4752-SL-0004
GSM5560783 4752-SL-0005
GSM5560784 4752-SL-0007
Relations
BioProject PRJNA761336
SRA SRP335985

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

Supplementary file Size Download File type/resource
GSE183568_Bulk_RNA_FACS_log2TPM.txt.gz 1.0 Mb (ftp)(http) TXT
GSE183568_FACS_normalized_gene_cell_counts.txt.gz 798.1 Mb (ftp)(http) TXT
GSE183568_FACS_raw_gene_cell_counts.txt.gz 475.2 Mb (ftp)(http) TXT
GSE183568_FACS_scRNAseq_metadata.txt.gz 763.9 Kb (ftp)(http) TXT
GSE183568_normalized_gene_cell_counts.txt.gz 3.5 Gb (ftp)(http) TXT
GSE183568_raw_gene_cell_counts.txt.gz 2.2 Gb (ftp)(http) TXT
GSE183568_scRNAseq_metadata.txt.gz 2.4 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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