Evidence map›Paper›PMID 27364731›Full record

ArticleDiabetes2016

Single-Cell Transcriptomics of the Human Endocrine Pancreas.

Yue J Wang, Jonathan Schug, Kyoung-Jae Won, Chengyang Liu, Ali Naji, Dana Avrahami, Maria L Golson, Klaus H Kaestner

Abstract read
In one paragraph

Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 3 pooled it
–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

265 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  14. Hyperinsulinemia in Sotos Syndrome with aJournal of clinical research in pediatric endocrinology · 2026
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  17. Review
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205 more citing papers are in PubMed but not listed here.

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

8 authors.

Yue J WangDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Jonathan SchugDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Kyoung-Jae WonDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Chengyang LiuDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Ali NajiDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Dana AvrahamiEndocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel kaestner@mail.med.upenn.edu dana.tzfati@mail.huji.ac.il mgolson@mail.med.upenn.edu.
Maria L GolsonDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA kaestner@mail.med.upenn.edu dana.tzfati@mail.huji.ac.il mgolson@mail.med.upenn.edu.
Klaus H KaestnerDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA kaestner@mail.med.upenn.edu dana.tzfati@mail.huji.ac.il mgolson@mail.med.upenn.edu.

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
Epigenetic Rejuvenation of Human Beta-CellsUC4DK104119 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GLASER, BENJAMIN, KAESTNER, KLAUS H · 2014 to 2014
$3.6M
NIDDK NIH HHS P30 DK019525NIDDK NIH HHS UC4 DK104119
6 · The paper itself

Abstract

Human pancreatic islets consist of multiple endocrine cell types. To facilitate the detection of rare cellular states and uncover population heterogeneity, we performed single-cell RNA sequencing (RNA-seq) on islets from multiple deceased organ donors, including children, healthy adults, and individuals with type 1 or type 2 diabetes. We developed a robust computational biology framework for cell type annotation. Using this framework, we show that α- and β-cells from children exhibit less well-defined gene signatures than those in adults. Remarkably, α- and β-cells from donors with type 2 diabetes have expression profiles with features seen in children, indicating a partial dedifferentiation process. We also examined a naturally proliferating α-cell from a healthy adult, for which pathway analysis indicated activation of the cell cycle and repression of checkpoint control pathways. Importantly, this replicating α-cell exhibited activated Sonic hedgehog signaling, a pathway not previously known to contribute to human α-cell proliferation. Our study highlights the power of single-cell RNA-seq and provides a stepping stone for future explorations of cellular heterogeneity in pancreatic endocrine cells.

Indexed as

Cell CycleCell ProliferationComputational BiologyDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glucagon-Secreting CellsHumansInsulin-Secreting CellsIslets of LangerhansMicrofluidicsSignal TransductionTranscriptome

Identifiers

PMID27364731
PMCPMC5033269

What OpenQuestion 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 OpenQuestion graph.