Evidence map›Paper›PMID 38891055›Full record

ArticleCells2024

3D Computational Modeling of Defective Early Endosome Distribution in Human iPSC-Based Cardiomyopathy Models.

Hafiza Nosheen Saleem, Nadezda Ignatyeva, Christiaan Stuut, Stefan Jakobs, Michael Habeck, Antje Ebert

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Novel impact of metal ion-induced cell death on diabetic cardiomyopathy pathogenesis and therapy.Apoptosis : an international journal on programmed cell death · 2025
    Review
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

6 authors.

Hafiza Nosheen SaleemHeart Research Center Goettingen, Department of Cardiology and Pneumology, University Medical Center Goettingen, Georg-August University of Goettingen, 37077 Goettingen, Germany.
Nadezda IgnatyevaHeart Research Center Goettingen, Department of Cardiology and Pneumology, University Medical Center Goettingen, Georg-August University of Goettingen, 37077 Goettingen, Germany.
Christiaan StuutResearch Group Mitochondrial Structure and Dynamics, Department of NanoBiophotonics, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany.ORCID 0009-0003-3277-0544
Stefan JakobsResearch Group Mitochondrial Structure and Dynamics, Department of NanoBiophotonics, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany.ORCID 0000-0002-8028-3121
Michael HabeckMicroscopic Image Analysis, 39065 Jena University Hospital, Kollegiengasse 10, 07743 Jena, Germany.
Antje EbertHeart Research Center Goettingen, Department of Cardiology and Pneumology, University Medical Center Goettingen, Georg-August University of Goettingen, 37077 Goettingen, Germany.ORCID 0000-0002-3642-242X

Funding

Carl Zeiss Foundation CZS Stiftungsprofessuren (M.H.)Clinic for Cardiology and Pneumology, University Medical Center, Goettingen University Internal fundingDeutsche Forschungsgemeinschaft Sonderforschungsbereich 1002, project A12 (A.E.)Deutsche Stiftung für Herzforschung (DSHF) Projekt F/13/20 (A.E.)DZHK (German Center for Cardiovascular Research), partner site Goettingen, Germany project IDs 81X2300194, 81X4300123 (A.E.)European Research Council ERCAdG No. 835102 (S.J.)German Academic Exchange Service (DAAD) Doctoral Programmes in Germany 57381412 (N.I.)Germany's Excellence Strategy EXC 2067/1- 390729940
6 · The paper itself

Abstract

Intracellular cargo delivery via distinct transport routes relies on vesicle carriers. A key trafficking route distributes cargo taken up by clathrin-mediated endocytosis (CME) via early endosomes. The highly dynamic nature of the endosome network presents a challenge for its quantitative analysis, and theoretical modelling approaches can assist in elucidating the organization of the endosome trafficking system. Here, we introduce a new computational modelling approach for assessment of endosome distributions. We employed a model of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) with inherited mutations causing dilated cardiomyopathy (DCM). In this model, vesicle distribution is defective due to impaired CME-dependent signaling, resulting in plasma membrane-localized early endosomes. We recapitulated this in iPSC-CMs carrying two different mutations, TPM1-L185F and TnT-R141W (MUT), using 3D confocal imaging as well as super-resolution STED microscopy. We computed scaled distance distributions of EEA1-positive vesicles based on a spherical approximation of the cell. Employing this approach, 3D spherical modelling identified a bi-modal segregation of early endosome populations in MUT iPSC-CMs, compared to WT controls. Moreover, spherical modelling confirmed reversion of the bi-modal vesicle localization in RhoA II-treated MUT iPSC-CMs. This reflects restored, homogeneous distribution of early endosomes within MUT iPSC-CMs following rescue of CME-dependent signaling via RhoA II-dependent RhoA activation. Overall, our approach enables assessment of early endosome distribution in cell-based disease models. This new method may provide further insight into the dynamics of endosome networks in different physiological scenarios.

Indexed as

EndosomesInduced Pluripotent Stem CellsMyocytes, CardiacCardiomyopathiesCardiomyopathy, DilatedComputer SimulationEndocytosisHumansImaging, Three-DimensionalModels, BiologicalMutationrhoA GTP-Binding ProteinTropomyosinrhoA GTP-Binding ProteinTropomyosincomputational modellingdilated cardiomyopathyendosomesheart failurehuman iPSCssignal processingsignal transductionSTED

Identifiers

PMID38891055
PMCPMC11171759

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.