Evidence map›Paper›PMID 33582383›Full record

ArticleMolecular metabolism2021

CD81 marks immature and dedifferentiated pancreatic β-cells.

Ciro Salinno, Maren Büttner, Perla Cota, Sophie Tritschler, Marta Tarquis-Medina, Aimée Bastidas-Ponce, Katharina Scheibner, Ingo Burtscher, Anika Böttcher, Fabian J Theis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

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  7. CD168 Identifies Proliferating Pancreatic Islet Cells in Murine and Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

12 authors at 1 institution in 1 country.

Ciro SalinnoInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany; Technische Universität München, School of Medicine, 81675, München, Germany.
Maren BüttnerInstitute of Computational Biology, Helmholtz Zentrum München, D-85764, Neuherberg, Germany.
Perla CotaInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany.
Sophie TritschlerInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum München, D-85764, Neuherberg, Germany.
Marta Tarquis-MedinaInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany; Technische Universität München, School of Medicine, 81675, München, Germany.
Aimée Bastidas-PonceInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany.
Katharina ScheibnerInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany.
Ingo BurtscherInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany.
Anika BöttcherInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München, D-85764, Neuherberg, Germany; Technical University of Munich, Department of Mathematics, 85748, Munich, Germany.
Mostafa BakhtiInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany. Electronic address: mostafa.bakhti@helmholtz-muenchen.de.
Heiko LickertInstitute of Diabetes and Regeneration Research, Helmholtz Zentrum München, 85764, Neuherberg, Germany; German Center for Diabetes Research (DZD), D-85764, Neuherberg, Germany; Technische Universität München, School of Medicine, 81675, München, Germany. Electronic address: heiko.lickert@helmholtz-muenchen.de.
Helmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIslets of Langerhans contain heterogeneous populations of insulin-producing β-cells. Surface markers and respective antibodies for isolation, tracking, and analysis are urgently needed to study β-cell heterogeneity and explore the mechanisms to harness the regenerative potential of immature β-cells.

methodsWe performed single-cell mRNA profiling of early postnatal mouse islets and re-analyzed several single-cell mRNA sequencing datasets from mouse and human pancreas and islets. We used mouse primary islets, iPSC-derived endocrine cells, Min6 insulinoma, and human EndoC-βH1 β-cell lines and performed FAC sorting, Western blotting, and imaging to support and complement the findings from the data analyses.

resultsWe found that all endocrine cell types expressed the cluster of differentiation 81 (CD81) during pancreas development, but the expression levels of this protein were gradually reduced in β-cells during postnatal maturation. Single-cell gene expression profiling and high-resolution imaging revealed an immature signature of β-cells expressing high levels of CD81 (CD81

conclusionsWe identified CD81 as a novel surface marker that labels immature, stressed, and dedifferentiated β-cells in the adult mouse and human islets. This novel surface marker will allow us to better study β-cell heterogeneity in healthy subjects and diabetes progression.

Indexed as

Cell DifferentiationAnimalsCell LineDiabetes MellitusFemaleGene ExpressionGene Expression ProfilingGenetic HeterogeneityHumansInduced Pluripotent Stem CellsInsulin-Secreting CellsMaleMicePancreasRNA, MessengerTetraspanin 28CD81 protein, humanCd81 protein, mouseRNA, MessengerTetraspanin 28CD81DedifferentiationHeterogeneityImmatureMaturationβ-Cells

Identifiers

PMID33582383
PMCPMC7932895
OpenAlexW3126819112

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.