ArticleiScience2021
Machine learning workflows identify a microRNA signature of insulin transcription in human tissues.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Human Islet miR-199a-5p and miR-214-3p Associate With Donor Age, BMI, and Sex and Mediate Cellular Aging in Islet-Derived Cells.Acta physiologica (Oxford, England) · 2026Article
- Novel Molecular Signatures of Peripheral Regulatory T Cells in Kidney Disease Associated with Type 1 Diabetes.Kidney360 · 2026Article
- Network-based insights into miRNA regulation of β-cell insulin secretion in type 2 diabetes.iScience · 2025Article
- A microRNA-based dynamic risk score for type 1 diabetes.Nature medicine · 2025Article
- Reassessing the Abundance of miRNAs in the Human Pancreas and Rodent Cell Lines and Its Implication.Non-coding RNA · 2023Article
- miRNAs in the Beta Cell-Friends or Foes?Endocrinology · 2023Review
- The link between glycemic control measures and eye microvascular complications in a clinical cohort of type 2 diabetes with microRNA-223-3p signature.Journal of translational medicine · 2023Article
- Article
- Analysis of Half a Billion Datapoints Across Ten Machine-Learning Algorithms Identifies Key Elements Associated With Insulin Transcription in Human Pancreatic Islet Cells.Frontiers in endocrinology · 2022Article
- Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows.STAR protocols · 2021Article
- Molecular Mechanisms of Nutrient-Mediated Regulation of MicroRNAs in Pancreatic β-cells.Frontiers in endocrinology · 2021Review
- Machine Learning Identifies Cellular and Exosomal MicroRNA Signatures of Lyssavirus Infection in Human Stem Cell-Derived Neurons.Frontiers in cellular and infection microbiology · 2021Article
Corrections and comments
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Authors and funding
33 authors at 12 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dicer knockout mouse models demonstrated a key role for microRNAs in pancreatic β-cell function. Studies to identify specific microRNA(s) associated with human (pro-)endocrine gene expression are needed. We profiled microRNAs and key pancreatic genes in 353 human tissue samples. Machine learning workflows identified microRNAs associated with (pro-)insulin transcripts in a discovery set of islets (n = 30) and insulin-negative tissues (n = 62). This microRNA signature was validated in remaining 261 tissues that include nine islet samples from individuals with type 2 diabetes. Top eight microRNAs (miR-183-5p, -375-3p, 216b-5p, 183-3p, -7-5p, -217-5p, -7-2-3p, and -429-3p) were confirmed to be associated with and predictive of (pro-)insulin transcript levels. Use of doxycycline-inducible microRNA-overexpressing human pancreatic duct cell lines confirmed the regulatory roles of these microRNAs in (pro-)endocrine gene expression. Knockdown of these microRNAs in human islet cells reduced (pro-)insulin transcript abundance. Our data provide specific microRNAs to further study microRNA-mRNA interactions in regulating insulin transcription.
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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.