Evidence map›Paper›PMID 28965763›Full record

ArticleCell2017

Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns.

Martin Enge, H Efsun Arda, Marco Mignardi, John Beausang, Rita Bottino, Seung K Kim, Stephen R Quake

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 327 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
327citing papers in PubMed, 5 pooled it
21.6field-weighted citation impact, top 1% 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

327 citing papers in PubMed, 5 syntheses or guidelines pooled it, 599 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
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  10. scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.Interdisciplinary sciences, computational life sciences · 2026
    Article
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  18. The aging genome exhibits organized vulnerability to somatic mutations.bioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Article

267 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 at 2 institutions in 2 countries.

Martin EngeDepartment of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305, USA.
H Efsun ArdaDepartment of Developmental Biology, Stanford University School of Medicine, CA 94305, USA.
Marco MignardiDepartment of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305, USA; Department of Information Technology, Uppsala University, Sweden and SciLifeLab, Uppsala, Sweden SE-751 05.
John BeausangDepartment of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305, USA.
Rita BottinoInstitute of Cellular Therapeutics, Allegheny Health Network, 320 East North Avenue, Pittsburgh, PA 15212, USA.
Seung K KimDepartment of Developmental Biology, Stanford University School of Medicine, CA 94305, USA.
Stephen R QuakeDepartment of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Institute of Cellular Therapeutics, Allegheny Health Network, 320 East North Avenue, Pittsburgh, PA 15212, USA. Electronic address: quake@stanford.edu.
Stanford University · USAllegheny Health Network · US

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OWEN P MCGUINNESS · 2012 to 2026
$29.3M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Interrogation of individual cells to identify progenitors and their nichesU01HL099999 · NHLBI · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2009 to 2015
$7.8M
Diabetes, Endocrinology and Metabolism Training GrantT32DK007217 · NIDDK · STANFORD UNIVERSITY · PI Justin Pierce Annes, David Matthew Maahs · 1987 to 2026
$7.2M
Interrogation of individual cells to identify progenitor cells and their nichesU01HL099995 · NHLBI · STANFORD UNIVERSITY · PI KRASNOW, MARK A · 2009 to 2015
$7.0M
Molecular Mechanisms of Physiologic Beta Cell Growth in Juvenile Human PancreasUC4DK104211 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KIM, SEUNG K, POWERS, ALVIN C · 2014 to 2015
$4.0M
NHLBI NIH HHS U01 HL099995NHLBI NIH HHS U01 HL099999NIDDK NIH HHS P30 DK020593NIDDK NIH HHS P30 DK116074NIDDK NIH HHS T32 DK007217NIDDK NIH HHS UC4 DK104211
6 · The paper itself

Abstract

As organisms age, cells accumulate genetic and epigenetic errors that eventually lead to impaired organ function or catastrophic transformation such as cancer. Because aging reflects a stochastic process of increasing disorder, cells in an organ will be individually affected in different ways, thus rendering bulk analyses of postmitotic adult cells difficult to interpret. Here, we directly measure the effects of aging in human tissue by performing single-cell transcriptome analysis of 2,544 human pancreas cells from eight donors spanning six decades of life. We find that islet endocrine cells from older donors display increased levels of transcriptional noise and potential fate drift. By determining the mutational history of individual cells, we uncover a novel mutational signature in healthy aging endocrine cells. Our results demonstrate the feasibility of using single-cell RNA sequencing (RNA-seq) data from primary cells to derive insights into genetic and transcriptional processes that operate on aging human tissue.

Indexed as

Cellular SenescenceMutationSingle-Cell AnalysisAdultAgingChildChild, PreschoolHumansInfantMiddle AgedPancreasPolymorphism, Single NucleotideSequence Analysis, RNATranscription, Geneticglucagonhuman aginghuman pancreasinsulinisletmutational signaturessingle-cell RNA-seqsomatic variationtranscriptional instability

Identifiers

PMID28965763
PMCPMC6047899
OpenAlexW2758815122

What OpenQuestion holds

Textmetadata
LicenceTDM
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.