Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [monkey_singlecell]

ABSTRACT: 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.

ORGANISM(S): Macaca mulatta

PROVIDER: GSE185037 | GEO | 2022/02/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_bulk]

Project description: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.

2022-02-04 | GSE185035 | GEO

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_singlecell]

Project description:Pluripotent stem cell-derived islets (hPSC-islets) are a promising cell resource for diabetes treatment. Here, we demonstrate that transplantation of pluripotent stem cell-derived islets into diabetic nonprimates 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 islets showed that the hCiPSC differentiated pancreatic endocrine cells shared similar global gene expression profiles to their native counterparts in primary islets. Single-cell RNA sequencing analysis on PBMCs revealed the potential immune response of recipient macaque to hCiPSC-islets.

2022-02-04 | GSE185036 | GEO

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates

Project description:Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates

| PRJNA767418 | ENA

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_singlecell]

Project description:Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_singlecell]

| PRJNA767420 | ENA

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [monkey_singlecell]

Project description:Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [monkey_singlecell]

| PRJNA767422 | ENA

Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_bulk]

Project description:Human Pluripotent Stem Cell-derived Islets Ameliorate Diabetes in Nonhuman Primates [human_bulk]

| PRJNA767419 | ENA

Age-associated DNA methylation increases in mouse pancreatic islets suggest an epigenetic drift toward the exocrine pancreas epigenome

Project description:Early postnatal overnutrition causes persistent dysregulation of endocrine pancreas function. We used genome-scale DNA methylation profiling in the suckling-period small litter (SL) mouse model to test whether this occurs via persistent epigenetic changes in pancreatic islets. Although SL islets showed DNA methylation changes directly after weaning and in adulthood, few of these were present at both ages, contrary to our hypothesis. Most interestingly, we discovered that genomic regions that are hypermethylated in exocrine relative to endocrine pancreas tend to gain methylation in islets during aging. Focusing on a subset of genes relevant to β cell function, we showed that these methylation differences are strongly correlated with expression. Together, our results provide the novel insight that DNA methylation changes that occur as islets age indicate an overall epigenetic drift toward the exocrine pancreas epigenome. These concerted shifts in the islet methylome could contribute to the age-associated decline in endocrine pancreas function. Pancreatic islets were isolated from P21/P180 SL or C mice. To ensure purity of islets, 3 rounds of manual picking were performed in each samples. Whole pancreas samples, ~98% of which is exocrine pancreas, were used as exocrine pancreas. There are 5 mice per group.

2014-12-03 | E-GEOD-63811 | biostudies-arrayexpress

NKX2-2 based nuclei sorting on human archival pancreas enables the enrichment of islet endocrine populations for single nucleus RNA sequencing

Project description:Current approaches to profile the single-cell transcriptomics of human pancreatic endocrine cells almost exclusively rely on freshly isolated islets. However, human islets are limited in availability. Furthermore, the extensive processing steps during islet isolation and subsequent single cell dissociation might alter gene expressions. In this work, we cross-compared five nuclei isolation protocols and selected the citric acid method as the best strategy to isolate nuclei with high RNA integrity and low cytoplasmic contamination from human pancreata. We innovated fluorescence-activated nuclei sorting (FANS) based on the positive signal of NKX2-2 antibody to enrich for nuclei of the endocrine population from the entire nuclei pool of the pancreas. Our sample preparation procedure generated high-quality single-nucleus gene-expression libraries while preserving the endocrine population diversity. We observed comparable endocrine cellular composition and cell type signature gene expression between our snRNA-seq libraries and conventional scRNA-seq libraries generated with live cells from freshly isolated human islets. Our work fills a technological gap and helps to unleash archival pancreatic tissue for molecular profiling targeting the endocrine population. We expect that our protocol can be used to enrich nuclei for transcriptomics study from various populations in the pancreas and in different organs/tissues.

2024-04-01 | GSE252614 | GEO

deBack2013 - Pancreas differentiation patterning in spatio-temporal multicellular model

Project description:This model reproduces a solution (at a=1, b=20.8, eta=1e-4) of the parameter scan in Fig. 4b of the referenced paper. Equations and other parameter values are as published. Notch signaling in competition with lateral stabilization, both mediated by cell–cell interactions, can control the cell fate decision of multi-potent pancreatic progenitor cells between the exocrine and endocrine lineages and yield a scattered spatial distribution of endocrine cells, major constituents of the later islets of Langerhans. The model file is in MorpheusML format and can be opened in the free, open-source multicellular modeling software Morpheus (download from https://morpheus.gitlab.io) to simulate the time course (movie) of lineage specification in 10.000 coupled cells in the early pancreatic tissue.

2021-10-06 | MODEL2011260001 | BioModels

Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories toward type 2 diabetes

Project description:To gain insight into the history of islet cell deterioration along the progression from normal glycemic regulation to T2D, we collected surgical pancreatic tissue samples from 133 metabolically phenotyped pancreatectomized patients (PPP). Gene expression profiles of islets isolated by laser capture microdissection (LCM) from resected and snap-frozen pancreas samples were assessed by RNA sequencing.

2021-04-13 | GSE164416 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data