Evidence map›Paper›PMID 42734801›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Analysis of Cell Populations from Arbovirus-Infected Tissues by Flow Cytometry.

Jenniffer Ramos Martins, Viviane Lima Batista, Celso M Queiroz-Junior, Mauro Martins Teixeira, Vivian Vasconcelos Costa

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. 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.

Jenniffer Ramos MartinsDepartment of Biochemistry and Immunology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Viviane Lima BatistaDepartment of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Celso M Queiroz-JuniorDepartment of Morphology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Mauro Martins TeixeiraDepartment of Biochemistry and Immunology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Vivian Vasconcelos CostaDepartment of Morphology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. vivianvcosta@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arboviruses still represent a major challenge to public health in many parts of the world. Despite shared epidemiological characteristics, each arboviral disorder displays distinct cellular tropism and activation patterns, progressing to immunopathological outcomes that remain not fully elucidated. A deeper understanding of these processes requires methodologies capable of characterizing the often-complex cellular responses. In this context, flow cytometry emerges as a valuable tool, enabling the characterization of heterogeneous cell populations, the assessment of activation and proliferation markers, the quantification of inflammatory mediators, and the detection of cell death pathways. By integrating these parameters, flow cytometry can enhance our understanding of arbovirus pathogenesis, clarify their cellular tropism, and understand immune responses to infection. This methodological article outlines the main steps for applying the technique to different target tissues infected by chikungunya, dengue, yellow fever, and Zika viruses, emphasizing the most effective strategies.

Indexed as

ArbovirusesArbovirus InfectionsFlow CytometryAnimalsChikungunya virusHumansZika VirusArbovirusChikungunyaDengueFlow cytometryYellow feverZika

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.