Evidence map›Paper›PMID 42013858›Full record

ArticleCell reports methods2026

High-quality acinar cell isolation enables single-cell analysis of healthy and injured pancreas.

Nirav Florian Chhabra, Leeanne J Mundle, Henrik Einwächter, Roland M Schmid

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nirav Florian ChhabraDepartment of Medicine 2, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany. Electronic address: nirav.chhabra@tum.de.
Leeanne J MundleDepartment of Medicine 2, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
Henrik EinwächterDepartment of Medicine 2, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany. Electronic address: henrik.einwaechter@tum.de.
Roland M SchmidDepartment of Medicine 2, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany. Electronic address: rolandm.schmid@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acinar cells are the predominant cell type of the pancreas. However, in single-cell RNA sequencing datasets from healthy murine pancreas, acinar cells typically represent less than half of the total cells. Here, we developed a protocol that facilitates the rapid digestion of the pancreas into high-quality single cells from both healthy and caerulein-induced acute pancreatitis (AP) tissue. Under homeostatic conditions, acinar cells exhibited limited heterogeneity, with distinct subpopulations selectively and highly expressing protease genes or transcription factors, mirroring patterns observed in the healthy human pancreas. Moreover, 24 h after AP, acinar cells displayed heterogeneous expression of "ADM trypsinogens" and ductal markers. Additionally, this method enabled immune phenotyping via flow cytometry in a pancreatic ductal adenocarcinoma model. By overcoming the challenges associated with isolating acinar cells, our method offers an improvement over existing protocols for obtaining live single cells from the pancreas, which specifically caters to a comprehensive characterization of acinar cell populations.

Indexed as

Acinar CellsCell SeparationPancreasSingle-Cell AnalysisAnimalsCeruletideFlow CytometryHumansMicePancreatitisSingle-Cell Gene Expression AnalysisCeruletideacinar cell heterogeneityacute pancreatitisADMCPDCTCflow cytometryhealthy mouse pancreasmolecular biologyscRNA-seqsingle-cell isolation

Identifiers

PMID42013858
PMCPMC13198085

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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.