Evidence map›Paper›PMID 42883707›Full record

ArticleInternational journal of molecular sciences2026

Integrative Bioinformatics Across Proliferative and Non-Proliferative Cell States Reveals Novel Cytokinesis Genes.

Miriam Angeloni, Marina Leone, Marco Moraschini, Eleonora Lippolis, Felix B Engel, Fulvia Ferrazzi

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

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

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

6 authors.

Miriam AngeloniInstitute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Marina LeoneExperimental Renal and Cardiovascular Research, Department of Nephropathology, Institute of Pathology and Department of Cardiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Kussmaulallee 12, 91054 Erlangen, Germany.ORCID 0000-0001-6839-6265
Marco MoraschiniInstitute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Eleonora LippolisInstitute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Felix B EngelComprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), 91054 Erlangen, Germany.ORCID 0000-0003-2605-3429
Fulvia FerrazziInstitute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.ORCID 0000-0003-4011-4638

Funding

Bavarian Cancer Research Center 58585203Deutsche HerzstiftungGerman Research Foundation TRR 374-INFInterdisciplinary Centre for Clinical Research of the Universitätsklinikum Erlangen 18-12-17-1-Leone; IZKF J42
6 · The paper itself

Abstract

The mammalian heart has no significant endogenous regenerative capacity, as mammalian cardiomyocytes undergo a last round of cell cycle after birth, becoming post-mitotic and polyploid. Consistent with this, cytokinesis inhibition in zebrafish impairs their cardiac regenerative capacity. Notably, re-induction of cell cycle progression or polyploidization reduction through cytokinesis generates proliferative mammalian cardiomyocytes. Thus, a better understanding of cytokinesis is fundamental. Here, we adopted an integrative bioinformatics approach to identify novel common candidate cytokinesis genes by comparing proliferative and non-proliferative cell states. The approach relies on (i) a temporal expression dataset profiling rat ventricles during heart development, (ii) a transcriptomics dataset profiling postnatal rat cardiomyocytes upon stimulation with pro-proliferative compounds, and (iii) an expression dataset profiling mouse embryonic fibroblasts upon knockout of Lin9, a master regulator of cell division. Following prioritization of the identified 236 novel candidate cytokinesis genes and literature-based investigations,

Indexed as

Cell ProliferationComputational BiologyCytokinesisMyocytes, CardiacAnimalsGene Expression ProfilingHeLa CellsHumansMiceRatsbioinformaticscardiomyocytecell cyclecytokinesisheart developmentintegrative approach

Identifiers

PMID42883707
PMCPMC13664727

What OpenQuestion holds

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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.