Evidence map›Paper›PMID 40737125›Full record

ArticleCell reports2025

Integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D-associated genes and regulatory signals.

Ricardo D'Oliveira Albanus, Xiaoshan Zhang, Zeping Zhao, Henry J Taylor, Xuming Tang, Yuling Han, Peter Orchard, Arushi Varshney, Tuo Zhang, Nandini Manickam and 13 more

Abstract read
In one paragraph

Article in Cell reports, 2025. 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
–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

12 citing papers in PubMed.

  1. ProtectiveiScience · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Illuminating diabetesWorld journal of diabetes · 2025
    Review
  10. Article
  11. Review
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Ricardo D'Oliveira AlbanusGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Xiaoshan ZhangDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Zeping ZhaoDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Henry J TaylorCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Xuming TangDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Yuling HanDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Peter OrchardGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Arushi VarshneyGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Tuo ZhangGenomic Resource Core Facility, Weill Cornell Medicine, New York, NY 10065, USA.
Nandini ManickamGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Michael R ErdosCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Narisu NarisuCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Leland TaylorCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Xiaxia SaavedraDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Xinyi LiuDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Aaron ZhongStem Cell Research Facility, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Bo LiDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA.
Ting ZhouStem Cell Research Facility, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Ali NajiDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Chengyang LiuDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Francis S CollinsCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Stephen C J ParkerGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA. Electronic address: scjp@umich.edu.
Shuibing ChenDepartment of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Center for Genomic Health, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA. Electronic address: shc2034@med.cornell.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Human Pancreas Analysis Program for Type 1 Diabetes - HPAP-T1DU01DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MARK A. ATKINSON, KLAUS H KAESTNER · 2021 to 2026
$46.8M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
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
NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
PanKbase: a community hub for integrated pancreas knowledgeU24DK138515 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Marcela Brissova, Jean-Philippe Cartailler · 2024 to 2026
$11.3M
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
Decoding the Cell-specific Impact of Epigenomic and Alternative Splicing Regulation during T1D ProgressionU01DK143498 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI Shuibing Chen, Stephen CJ Parker · 2025 to 2026
$3.2M
Determining the Intrinsic and Environmental Signal Contributing to Early T1D ProgressionU01DK127777 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHEN, SHUIBING, PARKER, STEPHEN CJ · 2020 to 2023
$3.0M
Role of GLIS3 in Human Pancreatic Beta Cell Generation, Survival and ProliferationR01DK136005 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI Shuibing Chen · 2024 to 2026
$1.7M
Intramural NIH HHS ZIA HG000024NCI NIH HHS P30 CA008748NIDDK NIH HHS R01 DK136005NIDDK NIH HHS R01 DK142414NIDDK NIH HHS U01 DK112217NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS U01 DK127777NIDDK NIH HHS U01 DK143498NIDDK NIH HHS U24 DK097771NIDDK NIH HHS U24 DK138515NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified over 100 signals associated with type 1 diabetes (T1D). However, it has been challenging to translate any given T1D GWAS signal into mechanistic insights, such as causal variants, their target genes, and the specific cell types involved. Here, we present a comprehensive multi-omic integrative analysis of single-cell/nucleus resolution profiles of gene expression and chromatin accessibility in human pancreatic islets under baseline and T1D-stimulating conditions. We nominate effector cell types for all T1D GWAS signals and the regulatory elements and genes for three independent T1D signals acting through β cells at the DLK1/MEG3, RASGRP1, and TOX loci. Subsequently, we validated the functional impact of these genes and regulatory regions using isogenic human embryonic stem cells (hESCs). We found that loss of RASGRP1 or DLK1, as well as disruption of their corresponding regulatory regions, led to increased β cell apoptosis. Furthermore, β cells derived from isogenic hESCs carrying the T1D risk allele of rs3783355 associated with DLK1 showed elevated β cell death. Through additional RNA sequencing (RNA-seq) and assay for transposase-accessible chromatin using sequencing (ATAC-seq) analyses, we identified five genes upregulated in both RASGRP1

Indexed as

Diabetes Mellitus, Type 1Islets of LangerhansSingle-Cell AnalysisApoptosisCalcium-Binding ProteinsGenome-Wide Association StudyHuman Embryonic Stem CellsHumansInsulin-Secreting CellsMembrane ProteinsMultiomicsPolymorphism, Single NucleotideCalcium-Binding ProteinsDLK1 protein, humanMembrane ProteinsapoptosisCP: GenomicsCP: MetabolismcytokinedifferentiationGWAShPSCshuman pancreatic isletsmulti-omics profilingT1D-associated signalstype 1 diabetesβ cells

Identifiers

PMID40737125
PMCPMC12477748

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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.