Evidence map›Paper›PMID 33981968›Full record

ArticleiScience2021

Machine learning workflows identify a microRNA signature of insulin transcription in human tissues.

Wilson K M Wong, Mugdha V Joglekar, Vijit Saini, Guozhi Jiang, Charlotte X Dong, Alissa Chaitarvornkit, Grzegorz J Maciag, Dario Gerace, Ryan J Farr, Sarang N Satoor and 23 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors at 12 institutions in 3 countries.

Wilson K M WongDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Mugdha V JoglekarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Vijit SainiDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Guozhi JiangDepartment of Medicine and Therapeutics, and Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Special Administrative Region, China.
Charlotte X DongDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Alissa ChaitarvornkitDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Grzegorz J MaciagDepartment of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
Dario GeraceSchool of Life Sciences and the Centre for Health Technologies, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.
Ryan J FarrDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Sarang N SatoorDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Subhshri SahuDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Tejaswini SharangdharDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Asma S AhmedDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
Yi Vee ChewCentre for Transplant and Renal Research, Westmead Institute for Medical Research, University of Sydney, 176 Hawkesbury Road, Westmead, NSW 2145, Australia.
David LiuwantaraCentre for Transplant and Renal Research, Westmead Institute for Medical Research, University of Sydney, 176 Hawkesbury Road, Westmead, NSW 2145, Australia.
Benjamin HengFaculty of Medicine Health and Human Sciences, Macquarie University, Sydney, NSW 2019, Australia.
Chai K LimFaculty of Medicine Health and Human Sciences, Macquarie University, Sydney, NSW 2019, Australia.
Julie HunterCentre for the Endothelium, Vascular Biology Program, Centenary Institute, University of Sydney Medical School, Locked Bag #6, Newtown, NSW 2042, Australia.
Andrzej S JanuszewskiNHMRC Clinical Trials Centre, University of Sydney, 92-94 Parramatta Road, Camperdown, NSW 2050, Australia.
Anja E SørensenDepartment of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
Ammira S A AkilDepartment of Human Genetics-Precision Medicine Program, Sidra Medicine, P.O. Box 26999, Doha, Qatar.
Jennifer R GambleCentre for the Endothelium, Vascular Biology Program, Centenary Institute, University of Sydney Medical School, Locked Bag #6, Newtown, NSW 2042, Australia.
Thomas LoudovarisSt Vincent's Institute and The University of Melbourne Department of Medicine, 9 Princes Street, Fitzroy, VIC, Australia.
Thomas W KaySt Vincent's Institute and The University of Melbourne Department of Medicine, 9 Princes Street, Fitzroy, VIC, Australia.
Helen E ThomasSt Vincent's Institute and The University of Melbourne Department of Medicine, 9 Princes Street, Fitzroy, VIC, Australia.
Philip J O'ConnellCentre for Transplant and Renal Research, Westmead Institute for Medical Research, University of Sydney, 176 Hawkesbury Road, Westmead, NSW 2145, Australia.
Gilles J GuilleminFaculty of Medicine Health and Human Sciences, Macquarie University, Sydney, NSW 2019, Australia.
David MartinUpper GI Surgery, Strathfield Hospital, 2/3 Everton Road, Strathfield, NSW 2135, Australia.
Ann M SimpsonSchool of Life Sciences and the Centre for Health Technologies, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.
Wayne J HawthorneCentre for Transplant and Renal Research, Westmead Institute for Medical Research, University of Sydney, 176 Hawkesbury Road, Westmead, NSW 2145, Australia.
Louise T DalgaardDepartment of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
Ronald C W MaDepartment of Medicine and Therapeutics, and Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Special Administrative Region, China.
Anandwardhan A HardikarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Narellan Road & Gilchrist Drive, Campbelltown, NSW 2560, Australia.
University of Sydney · AUWestern Sydney University · AUMacquarie University · AURoskilde University · DKUniversity of Melbourne · AUUniversity of Technology Sydney · AUWestmead Institute for Medical Research · AUCentenary Institute · AUChinese University of Hong Kong · CNFairfield Hospital · AUPrince of Wales Hospital · CNSt Vincents Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Computational BioinformaticsPathophysiologyTranscriptomics

Identifiers

PMID33981968
PMCPMC8082091
OpenAlexW3139902941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.