Evidence map›Paper›PMID 42234567›Full record

ArticleSTAR protocols2026

Protocol for generating human iPSC-derived cardiomyocytes using VCAM1-based sorting and micropatterned culture.

Marta Furtado, Marta Ribeiro, Teresa Carvalho, Sandra Martins, Maria Carmo-Fonseca

Abstract read
In one paragraph

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

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

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

5 authors.

Marta FurtadoFaculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal; Gulbenkian Institute for Molecular Medicine, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal. Electronic address: marta.furtado@gimm.pt.
Marta RibeiroInstitute for Bioengineering and Biosciences and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, Lisboa 1049-001, Portugal.
Teresa CarvalhoFaculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal.
Sandra MartinsFaculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal.
Maria Carmo-FonsecaFaculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal; Gulbenkian Institute for Molecular Medicine, Avenida Professor Egas Moniz, Lisboa 1649-028, Portugal. Electronic address: carmo.fonseca@gimm.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expanding use of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) in disease modeling and regenerative medicine has highlighted persistent challenges, including inter-differentiation variability, immature phenotypes, and heterogeneous cell populations. Here, we present a protocol for generating human iPSC-CMs by combining fluorescence-activated cell sorting (FACS) of VCAM1-positive cells with culture on micropatterned substrates. We describe steps for inducing cardiac differentiation in 3D and enriching iPSC-CMs by FACS. We then detail procedures for maturing iPSC-CMs in 2D micropatterned culture. For complete details on the use and execution of this protocol, please refer to Gomes-Silva et al.

Indexed as

Cell Culture TechniquesFlow CytometryInduced Pluripotent Stem CellsMyocytes, CardiacVascular Cell Adhesion Molecule-1Cell DifferentiationCells, CulturedHumansVascular Cell Adhesion Molecule-1Cell DifferentiationDevelopmental biologyOrganoidsStem Cells

Identifiers

PMID42234567
PMCPMC13254869

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.