Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell transcriptome profiling of mouse pancreatic α-lineage cells

ABSTRACT: As a strategy for regenerative medicine in diabetes, α-to-β reprogramming, which involves differentiating α cells into β cells, is an important option. However, while there are many reports on β cell differentiation, there are insufficient reports on α cell differentiation. There are still many unknowns regarding how α cells mature. In this study, we used the Gcg-Timer mouse model, which enables high temporal resolution to evaluate the development process of α cells. We sorted newly generated and more differentiated α cells from E17.5 Gcg-Timer and performed single-cell RNA sequencing. As a result, we found six clusters within the endocrine population and revealed transcriptional heterogeneity. In addition, the fluorescent characteristics of Gcg-Timer (newly generated and more differentiated cells) did not match the pseudotime information, which was in contrast to the results of our previous analysis of transcriptional characteristics during β-cell development using Ins1-eGFP;Timer. Furthermore, on the pseudotime axis of Gcg-Timer, Gcg mRNA showed a transient expression pattern, which was different from the expression pattern of Ins1 mRNA in Ins1-eGFP;Timer. These results suggest that (1) α-cell differentiation is probabilistic and (2) glucagon mRNA activation is probabilistic. Thus, evaluating the expression patterns of Gcg mRNA during α-cell development will lead to a deeper understanding of α-cell differentiation in the future.

ORGANISM(S): Mus musculus

PROVIDER: GSE305449 | GEO | 2025/12/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Novel time-resolved reporter mouse reveals spatial and transcriptional heterogeneity during alpha cell differentiation

Project description:Glucagon-expressing pancreatic α cells have attracted much attention for their plasticity to transdifferentiate into insulin-producing β cells; however, it remains unclear precisely when and where α cells emerge from and what regulates α-cell fate. We therefore explored the spatial and transcriptional heterogeneity of 　α-cell differentiation by a novel time-resolved reporter system. We established the mouse model, ‘Gcg-Timer’, in which newly generated α cells can be distinguished from more differentiated cells by their fluorescence. Transcriptome analysis of Gcg-Timer embryos revealed that the mRNAs related to angiogenesis were enriched in newly generated-α cells. Novel time-resolved analysis with Gcg-Timer reporter mouse uncovered spatiotemporal features of α-cell neogenesis, which will enhance our understanding of cellular identity and plasticity within the islets.

2023-09-15 | GSE229090 | GEO

Genome wide assessment of gene expression in alpha and beta cells from lean and obese mice

Project description:We report the assessment of transcriptome by RNA-Seq of FACS purified Ins1-H2bmCherry purified primary mouse beta cells and Gcg-CreERT2 x YFP positive alpha cells of obese (ob/ob) mice compared to lean littermate controls

2023-09-21 | GSE224797 | GEO

Single cell transcriptome profiling of mouse pancreatic β-lineage cells and hESC-derived β-like cells

Project description:While pancreatic β cells have been shown to originate from endocrine progenitors in ductal regions, it remains unclear precisely where β cells emerge and which transcripts define newborn β cells. Here, we used a mouse model “Ins1-GFP;Timer” that provides spatial information during β-cell neogenesis with high temporal resolution. Fluorescent imaging demonstrated that, as expected, some newborn β cells arise close to the ducts; unexpectedly, all the others arise away from the ducts and adjacent to blood vessels. Single-cell RNA-sequencing (scRNA-seq) demonstrated five distinct populations of newborn β cells, confirming the spatial heterogeneity of β-cell neogenesis, and integration analysis with scRNA-seq of hESC-derived β-like cells uncovered transcriptional similarity with the data in mouse β cells. Thus, the combination of time-resolved histological imaging with single-cell transcriptional mapping demonstrated novel features of spatial and transcriptional heterogeneity in β-cell neogenesis, which will lead to a better understanding of β-cell differentiation for future cell therapy.

2022-03-04 | GSE155742 | GEO

RNA Sequencing for reprogrammed beta cells

Project description:Alpha-cell-derived INS+ cells (yellow cells) were isolated 1 month after AAV-PM (adeno-associated virus carrying pdx1 and mafA under the CMV promoter) infusion from ALX-treated GCG-Cre; R26RTomato; MIP-GFP mice, based on expression of tomato red (alpha-cell lineage) and GFP by flow cytometry. Sorted normal GFP+ beta cells and normal TOM+ alpha cells from GCG-Cre; R26RTomato; MIP-GFP mice without any treatment were used as controls.

2017-11-09 | GSE106709 | GEO

RNA-seq of Ins+ cells in human differentiation protocol across lines and isolated from human islets

Project description:The aim of this experiment was to observe the transcriptional profile of Ins+ cells in human cadaveric islets and at the terminal stage of our in vitro beta-cell differentiation protocol across both the Hues8 and H1 cell lines. One polyhormonal sample (Ins+/Gcg+) was also sorted for additional comparison.

2015-03-20 | E-MTAB-3429 | biostudies-arrayexpress

Rat insulin-producing INS-1E exposed to cytokines IL-1β and IFN-γ

Project description:In the context of T1 Diabetes, pro-inflammatory cytokines IL-1β and IFN-γ are known to contribute to β-cell apoptosis; The measurement of mRNA expression following β-cell exposure to these cytokines gives a picture of the changes in gene expression characterizing the path to β-cell dysfunction and death. INS1 cell lines were cultured in medium with or without IL-1β and IFN-γ. The samples were collected at various time points for profiling with Affymetrix Rat ST arrays. These experiments were performed on two separate occasions.

2013-12-19 | E-GEOD-53453 | biostudies-arrayexpress

Comprehensive transcriptomes of mouse pancreatic islet delta, beta, and alpha cells

Project description:Rodent models are widely used to study diabetes. Yet, significant gaps remain in our understanding of mouse islet physiology. We generated comprehensive transcriptomes of mouse delta, beta and alpha cells using two separate triple transgenic mouse models generated for this purpose. This enables systematic comparison across thousands of genes between the three major endocrine cell types of the islets of Langerhans whose principal hormones control nutrient homeostasis. FACS purified delta or alpha cells and beta cells from the same islets. Islets were isolated from triple transgenic offspring of a cross between mIns1-H2b-mCherry (Jax # 028589) and either Sst-Cre (delta) or Gcg-cre (alpha) cells and a floxed YFP allele to label delta or alpha cells, respectively. Islets from replicate groups of 10 to 12 triple transgenic animals for each group were pooled by sex to obtain sufficient material. Pooled islets were dissociated, sorted and collect in Trizol for RNA isolation and library construction.

2016-06-26 | E-GEOD-80673 | biostudies-arrayexpress

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [Smart-seq3xpress]

Project description:The precise roles and prevalence of bihormonal cells within pancreatic islets are not fully understood. Here, we utilized genetically engineered mouse strains with specific fluorescent markers for pancreatic endocrine cells and advanced imaging flow cytometry to investigate the presence of bihormonal cells in adult mouse islets. Our results revealed a marginal presence of such cells, contradicting the hypothesis that transdifferentiation contributes significantly to β-cell restoration in diabetic mice or during pregnancy-induced β-cell proliferation. Employing single-cell RNA sequencing (scRNA-seq), we observed that Gcg+Ppy+ bihormonal cells closely resemble either α- or PP-cells, lacking distinct gene expression profiles. This finding suggests bihormonal cells may not represent a unique lineage but could be transitional states in cellular differentiation. Furthermore, a dual-genetic tracing approach revealed that embryonic Ins+Gcg+ cells differentiate into α-cells postnatally. By integrating gene co-expression network analysis with 10x Genomics scRNA-seq data, we established a hierarchical classification of endocrine cells in mouse and human islets, identifying distinct populations with minimal overlap in conserved genes between species. This study not only refines our understanding of bihormonal cells in islet function and development but also highlights the complexities in translating murine model findings to human applications, emphasizing the need for species-specific considerations in diabetes research and therapy development.

2025-06-16 | GSE248194 | GEO

Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [10X Genomics]

2025-06-16 | GSE248195 | GEO

T Cell Receptor Based Therapy of Metastatic Colorectal Cancer

Project description:T Cell Receptor Based Therapy of Metastatic Colorectal Cancer With mRNA-engineered T Cells Targeting Transforming Growth Factor Beta Receptor Type II (TGFβII)

| 2265728 | ecrin-mdr-crc

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