Evidence map›Paper›PMID 39206202›Full record

ArticleFrontiers in immunology2024

Design and validation of novel flow cytometry panels to analyze a comprehensive range of peripheral immune cells in mice.

Ainara Barco-Tejada, Rocio López-Esteban, Francisca Mulero, Marjorie Pion, Rafael Correa-Rocha, Manuel Desco, Lorena Cussó

Abstract readValidation Study
In one paragraph

Article in Frontiers in immunology, 2024. 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
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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

7 authors.

Ainara Barco-TejadaDepartamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain.
Rocio López-EstebanLaboratorio de Inmuno-regulación, Unidad de Medicina y Cirugía Experimental, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Francisca MuleroUnidad de Imagen Molecular, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain.
Marjorie PionLaboratorio de Inmuno-regulación, Unidad de Medicina y Cirugía Experimental, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Rafael Correa-RochaLaboratorio de Inmuno-regulación, Unidad de Medicina y Cirugía Experimental, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
Manuel DescoDepartamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain.
Lorena CussóUnidad de Medicina y Cirugía Experimental, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of flow cytometry in mice is constrained by several factors, including the limited availability of mouse-specific antibodies and the need to work with small volumes of peripheral blood. This is particularly challenging for longitudinal studies, as serial blood samples should not exceed 10% of the total blood volume in mice. To address this, we have developed two novel flow cytometry panels designed to extensively analyze immune cell populations in mice during longitudinal studies, using only 50 µL of peripheral blood per panel. Additionally, a third panel has been designed to conduct a more detailed analysis of cytotoxic and inhibitory markers at the end point. These panels have been validated on a lipopolysaccharide (LPS)-induced lung inflammation model. Two experiments were conducted to 1) validate the panels' sensitivity to immune challenges (

Indexed as

Flow CytometryLipopolysaccharidesAnimalsDisease Models, AnimalFemaleImmunophenotypingMiceMice, Inbred C57BLPneumoniaReproducibility of ResultsLipopolysaccharidesflow cytometry-methodsimmune systemlongitudinal studiesmiceperipheral blood

Identifiers

PMID39206202
PMCPMC11350558

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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.