ArticleiScience2019
A Network of microRNAs Acts to Promote Cell Cycle Exit and Differentiation of Human Pancreatic Endocrine Cells.
Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Who cites it
18 citing papers in PubMed.
- Transcriptomic regulation of pancreatic acinar cell homeostasis and plasticity.Biochemical Society transactions · 2026Review
- Extracellular matrix proteins refine microenvironments for pancreatic organogenesis from induced pluripotent stem cell differentiation.Theranostics · 2025Article
- Shared Genetic Architectures between Coronary Artery Disease and Type 2 Diabetes Mellitus in East Asian and European Populations.Biomedicines · 2024Article
- Type 2 diabetes susceptibility gene GRK5 regulates physiological pancreatic β-cell proliferation via phosphorylation of HDAC5.iScience · 2023Article
- Reassessing the Abundance of miRNAs in the Human Pancreas and Rodent Cell Lines and Its Implication.Non-coding RNA · 2023Article
- miRinGO: Prediction of Biological Processes Indirectly Targeted by Human microRNAs.Non-coding RNA · 2023Article
- Review
- Type 1 diabetes risk genes mediate pancreatic beta cell survival in response to proinflammatory cytokines.Cell genomics · 2022Article
- Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows.STAR protocols · 2021Article
- Sequence logic at enhancers governs a dual mechanism of endodermal organ fate induction by FOXA pioneer factors.Nature communications · 2021Article
- The miR-200-Zeb1 axis regulates key aspects of β-cell function and survival in vivo.Molecular metabolism · 2021Article
- Machine learning workflows identify a microRNA signature of insulin transcription in human tissues.iScience · 2021Article
- Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size.JCI insight · 2021Article
- Pancreatic progenitor epigenome maps prioritize type 2 diabetes risk genes with roles in development.eLife · 2021Article
- Baseline Assessment of Circulating MicroRNAs Near Diagnosis of Type 1 Diabetes Predicts Future Stimulated Insulin Secretion.Diabetes · 2021Article
- The Landscape of microRNAs in βCell: Between Phenotype Maintenance and Protection.International journal of molecular sciences · 2021Review
- Exosome-Mediated Differentiation of Mouse Embryonic Fibroblasts and Exocrine Cells into β-Like Cells and the Identification of Key miRNAs for Differentiation.Biomedicines · 2020Article
- Human stem cell models: lessons for pancreatic development and disease.Genes & development · 2019Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Pancreatic endocrine cell differentiation is orchestrated by the action of transcription factors that operate in a gene regulatory network to activate endocrine lineage genes and repress lineage-inappropriate genes. MicroRNAs (miRNAs) are important modulators of gene expression, yet their role in endocrine cell differentiation has not been systematically explored. Here we characterize miRNA-regulatory networks active in human endocrine cell differentiation by combining small RNA sequencing, miRNA over-expression, and network modeling approaches. Our analysis identified Let-7g, Let-7a, miR-200a, miR-127, and miR-375 as endocrine-enriched miRNAs that drive endocrine cell differentiation-associated gene expression changes. These miRNAs are predicted to target different transcription factors, which converge on genes involved in cell cycle regulation. When expressed in human embryonic stem cell-derived pancreatic progenitors, these miRNAs induce cell cycle exit and promote endocrine cell differentiation. Our study delineates the role of miRNAs in human endocrine cell differentiation and identifies miRNAs that could facilitate endocrine cell reprogramming.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.