Evidence map›Paper›PMID 28951822›Full record

ReviewMolecular metabolism2017

Systematic single-cell analysis provides new insights into heterogeneity and plasticity of the pancreas.

Sophie Tritschler, Fabian J Theis, Heiko Lickert, Anika Böttcher

Open access · goldAbstract readReview
In one paragraph

Review in Molecular metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
11.7field-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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. In Vivo Regenerative Potential ofMolecules (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Unveiling cell subpopulations in T1D mouse islets using single-cell RNA sequencing.American journal of physiology. Endocrinology and metabolism · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Sophie TritschlerInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Am Parkring 11, 85748 Garching-Hochbrück, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Heiko LickertInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Am Parkring 11, 85748 Garching-Hochbrück, Germany.
Anika BöttcherInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, Am Parkring 11, 85748 Garching-Hochbrück, Germany.
Helmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus is characterized by loss or dysfunction of insulin-producing β-cells in the pancreas, resulting in failure of blood glucose regulation and devastating secondary complications. Thus, β-cells are currently the prime target for cell-replacement and regenerative therapy. Triggering endogenous repair is a promising strategy to restore β-cell mass and normoglycemia in diabetic patients. Potential strategies include targeting specific β-cell subpopulations to increase proliferation or maturation. Alternatively, transdifferentiation of pancreatic islet cells (e.g. α- or δ-cells), extra-islet cells (acinar and ductal cells), hepatocytes, or intestinal cells into insulin-producing cells might improve glycemic control. To this end, it is crucial to systematically characterize and unravel the transcriptional program of all pancreatic cell types at the molecular level in homeostasis and disease. Furthermore, it is necessary to better determine the underlying mechanisms of β-cell maturation, maintenance, and dysfunction in diabetes, to identify and molecularly profile endocrine subpopulations with regenerative potential, and to translate the findings from mice to man. Recent approaches in single-cell biology started to illuminate heterogeneity and plasticity in the pancreas that might be targeted for β-cell regeneration in diabetic patients. SCOPE OF REVIEW: This review discusses recent literature on single-cell analysis including single-cell RNA sequencing, single-cell mass cytometry, and flow cytometry of pancreatic cell types in the context of mechanisms of endogenous β-cell regeneration. We discuss new findings on the regulation of postnatal β-cell proliferation and maturation. We highlight how single-cell analysis recapitulates described principles of functional β-cell heterogeneity in animal models and adds new knowledge on the extent of β-cell heterogeneity in humans as well as its role in homeostasis and disease. Furthermore, we summarize the findings on cell subpopulations with regenerative potential that might enable the formation of new β-cells in diseased state. Finally, we review new data on the transcriptional program and function of rare pancreatic cell types and their implication in diabetes. MAJOR

conclusionNovel, single-cell technologies offer high molecular resolution of cellular heterogeneity within the pancreas and provide information on processes and factors that govern β-cell homeostasis, proliferation, and maturation. Eventually, these technologies might lead to the characterization of cells with regenerative potential and unravel disease-associated changes in gene expression to identify cellular and molecular targets for therapy.

Indexed as

AnimalsBlood GlucoseCell DifferentiationCell PlasticityCell ProliferationCell TransdifferentiationDiabetes MellitusHumansInsulinInsulin-Secreting CellsIslets of LangerhansPancreasSingle-Cell AnalysisBlood GlucoseInsulinDedifferentiationDiabetesEndocrine cellsMaturationRegenerationSingle-cell analysisSubpopulationsTransdifferentiationβ-Cell heterogeneity

Identifiers

PMID28951822
PMCPMC5605721
OpenAlexW2736833539

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.