ArticleMethods in molecular biology (Clifton, N.J.)2027
Analysis of Cell Populations from Arbovirus-Infected Tissues by Flow Cytometry.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
42734801What OpenQuestion holds
Registered trials
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.