ArticleJCI insight2019
The long noncoding RNA MALAT1 predicts human pancreatic islet isolation quality.
Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- 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
- Long non-coding RNAs as molecular links and circulating biomarkers between type 2 diabetes and colorectal cancer: focus on shared signaling pathways, epigenetic regulation, and ubiquitination mechanisms.Frontiers in molecular biosciences · 2026Review
- Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions.Nature methods · 2025Article
- A microRNA-based dynamic risk score for type 1 diabetes.Nature medicine · 2025Article
- Emerging Roles of ncRNAs in Type 2 Diabetes Mellitus: From Mechanisms to Drug Discovery.Biomolecules · 2024Review
- Importance of Studying Non-Coding RNA in Children and Adolescents with Type 1 Diabetes.Biomedicines · 2024Review
- Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functions.bioRxiv : the preprint server for biology · 2024Article
- Identifying biomarkers of heterogeneity and transplantation efficacy in retinal pigment epithelial cells.The Journal of experimental medicine · 2023Article
- Islets-on-Chip: A Tool for Real-Time Assessment of Islet Function Prior to Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2023Article
- A Pro-Endocrine Pancreatic Islet Transcriptional Program Established During Development Is Retained in Human Gallbladder Epithelial Cells.Cellular and molecular gastroenterology and hepatology · 2022Article
- Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows.STAR protocols · 2021Article
- ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data.Bioinformatics (Oxford, England) · 2021Article
- LncRNA PWAR6 regulates proliferation and migration by epigenetically silencing YAP1 in tumorigenesis of pancreatic ductal adenocarcinoma.Journal of cellular and molecular medicine · 2021Article
- Machine learning workflows identify a microRNA signature of insulin transcription in human tissues.iScience · 2021Article
- Building Biomimetic Potency Tests for Islet Transplantation.Diabetes · 2021Review
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human islet isolation is a cost-/resource-intensive program generating islets for cell therapy in Type 1 diabetes. However, only a third of cadaveric pancreas get to clinical transplantation due to low quality/number of islets. There is a need to identify biomarker(s) that predict the quality of islets, prior to initiating their isolation. Here, we sequenced transcriptome from 18 human islet preparations stratified into three groups (Gr.1: Best quality/transplantable islets, Gr.2: Intermediary quality, Gr.3: Inferior quality/non-transplantable islets) based on routine measurements including islet purity/viability. Machine-learning algorithms involving penalized regression analyses identified 10 long-non-coding(lnc)RNAs significantly different across all group-wise comparisons (Gr1VsGr2, Gr2vsGr3, Gr1vsGr3). Two variants of Metastasis-Associated Lung Adenocarcinoma Transcript-1(MALAT1) lncRNA were common across all comparisons. We confirmed RNA-seq findings in a "validation set" of 75 human islet preparations. Finally, in 19 pancreas samples, we demonstrate that assessing the levels of MALAT1 variants alone (ROC curve AUC: 0.83) offers highest specificity in predicting post-isolation islet quality and improves the predictive potential for clinical islet transplantation when combined with Edmonton Donor Points/Body Mass Index(BMI)/North American Islet Donor Score(NAIDS). We present this resource of islet-quality-stratified lncRNA transcriptome data and identify MALAT1 as a biomarker that significantly enhances current selection methods for clinical (GMP)-grade islet isolation.
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