HCA Data Explorer

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

Access Granted
Updated October 25, 2021

Pancreatic islet cells are critical for maintaining normal blood glucose levels and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic α-, β-, δ- and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell type specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human α- and β-cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.

Yurong XinRegeneron Pharmaceuticals, Inc.yurong.xin@regeneron.com
Yurong Xin (Experimental Scientist)1
1Regeneron Pharmaceuticals, Inc.
Teresa Marquez
Schwartz Rachel

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/7adede6a-0ab7-45e6-9b67-ffe7466bec1f

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE81nnn/GSE81608/suppl/GSE81608_human_islets_rpkm.txt.gz
GEO Series Accessions:INSDC Project Accessions:

Atlas

None

Analysis Portals

None

Project Label

HumanIsletType2Diabetes

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pancreas

Organ Part

ilset of langerhans

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

Fluidigm C1-based library preparation

Nucleic Acid Source

single cell

Paired End

false

File Format

2 file formats

Cell Count Estimate

1.6k

Donor Count

18
fastq.gz1,600 file(s)txt.gz1 file(s)