Evidence map›Paper›PMID 39672980›Full record

ArticleNature methods2025

iFlpMosaics enable the multispectral barcoding and high-throughput comparative analysis of mutant and wild-type cells.

Irene Garcia-Gonzalez, Stefano Gambera, Susana F Rocha, Alvaro Regano, Lourdes Garcia-Ortega, Mariya Lytvyn, Luis Diago-Domingo, Maria S Sanchez-Muñoz, Aroa Garcia-Cabero, Ivana Zagorac and 8 more

Abstract read
In one paragraph

Article in Nature methods, 2025. 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. 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

18 authors.

Irene Garcia-GonzalezMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0001-8508-8344
Stefano GamberaMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0003-2998-8502
Susana F RochaMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-8001-1898
Alvaro ReganoMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-2143-3011
Lourdes Garcia-OrtegaMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-9696-5047
Mariya LytvynMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Luis Diago-DomingoMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Maria S Sanchez-MuñozMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-7661-2295
Aroa Garcia-CaberoMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0003-4008-6243
Ivana ZagoracMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Wen LuoMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-5856-3733
Macarena De Andrés-LaguilloMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Macarena Fernández-ChacónMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0001-5831-0923
Verónica Casquero-GarciaMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Federica Francesca LunellaMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-8943-6032
Carlos TorrojaBioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Fátima Sánchez-CaboBioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Rui BeneditoMolecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. Rui.Benedito@cnic.es.ORCID http://orcid.org/0000-0003-2458-3055

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101001814EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 638028"la Caixa" Foundation (Caixa Foundation) CX_E-2015-01"la Caixa" Foundation (Caixa Foundation) CX-SO-16-1"la Caixa" Foundation (Caixa Foundation) HR19-00120"la Caixa" Foundation (Caixa Foundation) HR22-00316Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministerio de Economía, Industria y Competitividad) PRE2018-085283
6 · The paper itself

Abstract

To understand gene function, it is necessary to compare cells carrying the mutated target gene with normal cells. In most biomedical studies, the cells being compared are in different mutant and control animals and, therefore, do not experience the same epigenetic changes and tissue microenvironment. The experimental induction of genetic mosaics is essential to determine a gene cell-autonomous function and to model the etiology of diseases caused by somatic mutations. Current technologies used to induce genetic mosaics in mice lack either accuracy, throughput or barcoding diversity. Here we present the iFlpMosaics toolkit comprising a large set of new genetic tools and mouse lines that enable recombinase-dependent ratiometric induction and single-cell clonal tracking of multiple fluorescently labeled wild-type and Cre-mutant cells within the same time window and tissue microenvironment. The labeled cells can be profiled by multispectral imaging or by fluorescence-activated flow cytometry and single-cell RNA sequencing. iFlpMosaics facilitate the induction and analysis of genetic mosaics in any quiescent or progenitor cell, and for any given single or combination of floxed genes, thus enabling a more accurate understanding of how induced genetic mutations affect the biology of single cells during tissue development, homeostasis and disease.

Indexed as

DNA Barcoding, TaxonomicMosaicismMutationSingle-Cell AnalysisAnimalsFlow CytometryMice

Identifiers

PMID39672980
PMCPMC11810794

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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.