Evidence map›Paper›PMID 40080477›Full record

ArticlePloS one2025

Digital PCR characterizes epithelial cell populations in murine duodenal organoids.

Karla Acosta-Virgen, Hugo David González-Conchillos, Gabriela Vallejo-Flores, Lizbeth Iliana Salazar-Villatoro, Ernesto Guerrero-Sánchez, Adolfo Martínez-Palomo, Martha Espinosa-Cantellano

Abstract read
In one paragraph

Article in PloS one, 2025. 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

7 authors.

Karla Acosta-VirgenDepartamento de Infectómica y Patogénesis Molecular, Center for Research and Advanced Studies, Mexico City, Mexico.
Hugo David González-ConchillosDepartamento de Infectómica y Patogénesis Molecular, Center for Research and Advanced Studies, Mexico City, Mexico.ORCID https://orcid.org/0009-0004-5985-004X
Gabriela Vallejo-FloresDepartment of Molecular Biology, Max Planck Institute for Infection Biology, Berlin, Germany.
Lizbeth Iliana Salazar-VillatoroDepartamento de Infectómica y Patogénesis Molecular, Center for Research and Advanced Studies, Mexico City, Mexico.
Ernesto Guerrero-SánchezQIAGEN MEXICO, Mexico City, Mexico.ORCID https://orcid.org/0009-0006-2233-6930
Adolfo Martínez-PalomoDepartamento de Infectómica y Patogénesis Molecular, Center for Research and Advanced Studies, Mexico City, Mexico.
Martha Espinosa-CantellanoDepartamento de Infectómica y Patogénesis Molecular, Center for Research and Advanced Studies, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-8877-0995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional cultures are powerful tools to recapitulate animal and human tissues. Under the influence of specific growth factors, adult stem cells differentiate and organize into 3D cultures named organoids. The molecular phenotyping of these structures is an essential step for validating an organoid model. However, the limited number of organoids generated in culture yields very low amounts of genetic material, making phenotyping difficult. Recently, digital PCR (dPCR) techniques have become available for the highly sensitive detection of genetic material at low concentrations. The aim of this work was to apply dPCR to the identification of the various cell populations expected to be present in murine duodenal organoids. Results show the potential use of dPCR as a genetic characterization tool for organoids.

Indexed as

DuodenumEpithelial CellsOrganoidsPolymerase Chain ReactionAnimalsMice

Identifiers

PMID40080477
PMCPMC11906084

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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.