Evidence map›Paper›PMID 27693023›Full record

ArticleCell systems2016

A Single-Cell Transcriptome Atlas of the Human Pancreas.

Mauro J Muraro, Gitanjali Dharmadhikari, Dominic Grün, Nathalie Groen, Tim Dielen, Erik Jansen, Leon van Gurp, Marten A Engelse, Francoise Carlotti, Eelco J P de Koning and 1 more

Abstract read
In one paragraph

Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 756 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
756citing papers in PubMed, 1 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

756 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. Interpretable scRNA-seq Analysis with Intelligent Gene Selection.Applied biochemistry and biotechnology · 2026
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  13. scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.Interdisciplinary sciences, computational life sciences · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. Article
  20. Article

696 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

11 authors.

Mauro J MuraroHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands.
Gitanjali DharmadhikariHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands.
Dominic GrünHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany.
Nathalie GroenDepartment of Internal Medicine, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Tim DielenHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands.
Erik JansenHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands.
Leon van GurpHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands.
Marten A EngelseSection of Nephrology and Section of Endocrinology, Department of Medicine, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Francoise CarlottiDepartment of Internal Medicine, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
Eelco J P de KoningHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands; Section of Nephrology and Section of Endocrinology, Department of Medicine, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands. Electronic address: e.koning@hubrecht.eu.
Alexander van OudenaardenHubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences) and University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CT Utrecht, the Netherlands. Electronic address: a.vanoudenaarden@hubrecht.eu.

Funding

European Research Council 294325
6 · The paper itself

Abstract

To understand organ function, it is important to have an inventory of its cell types and of their corresponding marker genes. This is a particularly challenging task for human tissues like the pancreas, because reliable markers are limited. Hence, transcriptome-wide studies are typically done on pooled islets of Langerhans, obscuring contributions from rare cell types and of potential subpopulations. To overcome this challenge, we developed an automated platform that uses FACS, robotics, and the CEL-Seq2 protocol to obtain the transcriptomes of thousands of single pancreatic cells from deceased organ donors, allowing in silico purification of all main pancreatic cell types. We identify cell type-specific transcription factors and a subpopulation of REG3A-positive acinar cells. We also show that CD24 and TM4SF4 expression can be used to sort live alpha and beta cells with high purity. This resource will be useful for developing a deeper understanding of pancreatic biology and pathophysiology of diabetes mellitus.

Indexed as

TranscriptomeAcinar CellsDiabetes Mellitus, Type 1HumansInsulinMembrane GlycoproteinsPancreasSingle-Cell AnalysisInsulinMembrane Glycoproteinsislets of Langerhanspancreassequencingsingle-cell transcriptomics

Identifiers

PMID27693023
PMCPMC5092539

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.