Evidence map›Paper›PMID 37582230›Full record

ArticleDiabetes2023

An Integrated Map of Cell Type-Specific Gene Expression in Pancreatic Islets.

Ruth M Elgamal, Parul Kudtarkar, Rebecca L Melton, Hannah M Mummey, Paola Benaglio, Mei-Lin Okino, Kyle J Gaulton

Abstract read
In one paragraph

Article in Diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
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

71 citing papers in PubMed.

  1. Trial
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  8. A surviving beta cell subpopulation enriched in patients with T1D.bioRxiv : the preprint server for biology · 2026
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ruth M ElgamalBiomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
Parul KudtarkarDepartment of Pediatrics, University of California, San Diego, La Jolla, CA.
Rebecca L MeltonBiomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
Hannah M MummeyBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA.
Paola BenaglioDepartment of Pediatrics, University of California, San Diego, La Jolla, CA.
Mei-Lin OkinoBiomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
Kyle J GaultonDepartment of Pediatrics, University of California, San Diego, La Jolla, CA.ORCID 0000-0003-1318-7161

Funding

The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi, KLAUS H KAESTNER · 2019 to 2026
$25.0M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Supplement to Integrated Program for Human Pancreas Procurement and AnalysisUC4DK112232 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., POWERS, ALVIN C · 2016 to 2020
$8.4M
Human Pancreas Analysis Program-T2DU01DK123716 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., BOTTINO, RITA · 2019 to 2024
$6.6M
Single cell analysis of the human pancreas in type 1 diabetesU01DK120429 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE, SANDER, MAIKE · 2018 to 2021
$3.1M
UC San Diego Genetics Training ProgramT32GM145427 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRUCE A HAMILTON · 2022 to 2026
$2.6M
Diabetes risk variants affecting transcription factor-regulated cellular networksR01DK114650 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE · 2018 to 2022
$1.9M
NIDDK NIH HHS DK-105554NIDDK NIH HHS R01 DK114650NIDDK NIH HHS U01 DK105554NIDDK NIH HHS U01 DK120429NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232NIDDK NIH HHS UM1 DK105554NIGMS NIH HHS T32 GM145427
6 · The paper itself

Abstract

Pancreatic islets consist of multiple cell types that produce hormones required for glucose homeostasis, and islet dysfunction is a major factor in type 1 and type 2 diabetes. Numerous studies have assessed transcription across individual cell types using single-cell assays; however, there is no canonical reference of gene expression in islet cell types that is also easily accessible for researchers to query and use in bioinformatics pipelines. Here we present an integrated map of islet cell type-specific gene expression from 192,203 cells from single-cell RNA sequencing of 65 donors without diabetes, donors who were type 1 diabetes autoantibody positive, donors with type 1 diabetes, and donors with type 2 diabetes from the Human Pancreas Analysis Program. We identified 10 distinct cell types, annotated subpopulations of several cell types, and defined cell type-specific marker genes. We tested differential expression within each cell type across disease states and identified 1,701 genes with significant changes in expression, with most changes observed in β-cells from donors with type 1 diabetes. To facilitate user interaction, we provide several single-cell visualization and reference mapping tools, as well as the open-access analytical pipelines used to create this reference. The results will serve as a valuable resource to investigators studying islet biology. ARTICLE HIGHLIGHTS:

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Islets of LangerhansGene ExpressionHumansPancreas

Identifiers

PMID37582230
PMCPMC10588282

What Socratic holds

Textmetadata
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 Socratic graph.