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Series GSE185035 Query DataSets for GSE185035
Status Public on Feb 04, 2022
Title Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_bulk]
Organism Homo sapiens
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 Bulk RNA sequencing analysis on hADFs, hCiPSCs, hiPSCs and hESCs to compare the global gene expression profiles.
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 04, 2022
Contact name Yaqi Wang
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)
GPL20795 HiSeq X Ten (Homo sapiens)
Samples (12)
GSM5603727 hADF-#1
GSM5603728 hADF-#2
GSM5603729 hADF-#3
This SubSeries is part of SuperSeries:
GSE185038 Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates
BioProject PRJNA767419
SRA SRP339353

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Supplementary file Size Download File type/resource
GSE185035_count.csv.gz 453.3 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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