Evidence map›Paper›PMID 29531811›Full record

ArticleCell death discovery2018

Single-cell analyses of human islet cells reveal de-differentiation signatures.

Adrian Keong Kee Teo, Chang Siang Lim, Lih Feng Cheow, Tatsuya Kin, James A Shapiro, Nam-Young Kang, William Burkholder, Hwee Hui Lau

Abstract read
In one paragraph

Article in Cell death discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  15. Single-cell RNA sequencing for engineering and studying human islets.Current opinion in biomedical engineering · 2020
    Article
  16. Article
  17. Article
  18. Advances of single-cell genomics and epigenomics in human disease: where are we now?Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Review
  19. Article
  20. GABAInternational journal of molecular sciences · 2020
    Article
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.

Adrian Keong Kee Teo1Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, Proteos, Singapore, Singapore.
Chang Siang Lim1Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, Proteos, Singapore, Singapore.
Lih Feng Cheow5Microfluidics Systems Biology Laboratory, Institute of Molecular and Cell Biology, Proteos, Singapore, Singapore.
Tatsuya Kin7Clinical Islet Laboratory, University of Alberta Hospital, Edmonton, AB, Canada.
James A Shapiro7Clinical Islet Laboratory, University of Alberta Hospital, Edmonton, AB, Canada.
Nam-Young Kang8Laboratory of Bioimaging Probe Development, Singapore Bioimaging Consortium, Helios, Singapore, Singapore.
William Burkholder5Microfluidics Systems Biology Laboratory, Institute of Molecular and Cell Biology, Proteos, Singapore, Singapore.
Hwee Hui Lau1Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology, Proteos, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pancreatic islets containing insulin-secreting β-cells are notoriously heterogeneous in cell composition. Since β-cell failure is the root cause of diabetes, understanding this heterogeneity is of paramount importance. Recent reports have cataloged human islet transcriptome but not compared single β-cells in detail. Here, we scrutinized ex vivo human islet cells from healthy donors and show that they exhibit de-differentiation signatures. Using single-cell gene expression and immunostaining analyses, we found healthy islet cells to contain polyhormonal transcripts, and INS

Identifiers

PMID29531811
PMCPMC5841351

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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.