Evidence map›Paper›PMID 41354404›Full record

ArticleCellular and molecular gastroenterology and hepatology2026

Design of CellProfiler-Based Pipelines Enabling the Attribution of Molecular Stress Markers to Specific Tissue and Subcellular Compartments of the Colonic Mucosa.

Helena Hödlmayr, Christina Watschinger, Gerald K Wallner, Sabine Knipp, Arndt Rohwedder, Regina Prommer, Rupert Langer, Alexander R Moschen

Abstract read
In one paragraph

Article in Cellular and molecular gastroenterology and hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Stress Granules as Molecular Echoes of Gut Inflammation.Cellular and molecular gastroenterology and hepatology · 2026
    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.

Helena HödlmayrDepartment of Internal Medicine 2 (Gastroenterology and Hepatology, Endocrinology, and Metabolism, Nephrology, Rheumatology), Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Christina WatschingerDepartment of Internal Medicine 2 (Gastroenterology and Hepatology, Endocrinology, and Metabolism, Nephrology, Rheumatology), Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Gerald K WallnerDepartment of Internal Medicine 2 (Gastroenterology and Hepatology, Endocrinology, and Metabolism, Nephrology, Rheumatology), Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Sabine KnippCore Facility Imaging, Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Arndt RohwedderCore Facility Imaging, Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Regina PrommerDepartment of Internal Medicine 2 (Gastroenterology and Hepatology, Endocrinology, and Metabolism, Nephrology, Rheumatology), Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Rupert LangerInstitute of Pathology und Molecular Pathology, Johannes Kepler University Linz, Linz, Austria.
Alexander R MoschenDepartment of Internal Medicine 2 (Gastroenterology and Hepatology, Endocrinology, and Metabolism, Nephrology, Rheumatology), Faculty of Medicine, Johannes Kepler University Linz, Linz, Austria. Electronic address: alexander.moschen@jku.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsStress granules (SGs) represent membrane-free cytoplasmic structures rapidly aggregating during cellular stress responses arguably useful as markers of molecular inflammation. To provide an automated, reproducible, and unbiased analytic workflow, we used the open-source software CellProfiler to quantify SGs in distinct cell types in inflammatory bowel disease.

methodsThe EpiCellProfiler (ECP) and PropiCellProfiler (PCP) pipelines enable segmentation within intestinal epithelial cells and lamina propria cells, respectively. The SG marker Ras GTPase-activating protein-binding protein 1 (G3BP1) was quantified for fluorescence intensity, granule size, and morphology on tissue sections of patients with ulcerative colitis (UC) and Crohn's disease (CD) in deep remission.

resultsBoth pipelines detected elevated G3BP1 fluorescence intensities in inactive UC and CD. Additionally, SGs spot counts and spot sizes were increased in CD and UC compared with controls. The distribution of G3BP1 was homogenous in intestinal epithelial cells, without SG typical aggregations. In UC, PCP analysis revealed nuclear morphology alterations in terms of size, regularity, and compactness.

conclusionsHerein, we provide a powerful, reproducible, versatile and open-source software tool to quantify remnant molecular inflammation in patients with CD and UC, enabling research to openly share, reproduce and compare results within the field of quantitative image analysis. Our pipeline separates and distinguishes between epithelial and lamina propria events and provides insights into the spatial distribution and dynamics of SGs, revealing their homogeneous distribution and persistent accumulation in patients with CD and UC, notably in such without clinical, endoscopic, biochemical and histological disease activity. The sensitivity of the pipelines allows detection of subtle morphologic alterations that warrant further investigation, as does the usage of G3BP1 as an inflammatory bowel disease stress marker.

Indexed as

Colitis, UlcerativeColonCrohn DiseaseIntestinal MucosaSoftwareStress GranulesStress, PhysiologicalAdultBiomarkersDNA HelicasesEpithelial CellsFemaleHumansMalePoly-ADP-Ribose Binding ProteinsRNA HelicasesBiomarkersDNA HelicasesG3BP1 protein, humanPoly-ADP-Ribose Binding ProteinsRNA HelicasesRNA Recognition Motif ProteinsAutomated Image AnalysisCellProfilerG3BP1Inflammatory Bowel DiseaseQuantitative AnalysisStress Granules

Identifiers

PMID41354404
PMCPMC13094656

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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.