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Series GSE185037 Query DataSets for GSE185037
Status Public on Feb 04, 2022
Title Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [monkey_singlecell]
Organism Macaca mulatta
Experiment type Expression profiling by high throughput sequencing
Summary Human pluripotent stem cell-derived islets (hPSC-islets) are a promising cell resource for diabetes treatment. Here, we demonstrate that transplantation of human pluripotent stem cell-derived islets into diabetic nonhuman primates effectively restored endogenous insulin secretion and improved glycemic control. Single-cell RNA sequencing analysis of S6D2 clusters confirmed the existence of the three major pancreatic endocrine cell populations (β cells, α-like cells and δ-like cells) and their proportions, which altogether accounted for 80%. Importantly, hierarchical clustering of S6D2 hCiPSC-islets, 10 wpt kidney grafts and primary human islets showed that the hCiPSC differentiated pancreatic endocrine cells shared similar global gene expression profiles to their native counterparts in primary human islets. Single-cell RNA sequencing analysis on PBMCs revealed the potential immune response of recipient macaque to hCiPSC-islets.
 
Overall design Single-cell RNA sequencing analysis on peripheral blood mononuclear cells (PBMCs) to analyze the potential immune response of recipient macaque to hCiPSC-islets.
 
Contributor(s) Du Y, Wang Y, Liang Z, Wang S, Sun D, Wang X, Yi LS, Lu S
Citation(s) 35115708
Submission date Sep 29, 2021
Last update date Feb 06, 2022
Contact name Yaqi Wang
E-mail(s) yaqi_wang@pku.edu.cn
Organization name Peking University
Street address No.5 Yiheyuan Road Haidian District
City Beijing
State/province Beijing
ZIP/Postal code 100871
Country China
 
Platforms (1)
GPL24522 HiSeq X Ten (Macaca mulatta)
Samples (4)
GSM5603742 PBMCs-Pre-IS
GSM5603743 PBMCs-Post-IS (Pre-Tx)
GSM5603744 PBMCs-4 wpt
This SubSeries is part of SuperSeries:
GSE185038 Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates
Relations
BioProject PRJNA767422
SRA SRP339355

Download family Format
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Supplementary file Size Download File type/resource
GSE185037_RAW.tar 35.8 Mb (http)(custom) TAR (of CSV, TAR)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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