Evidence map›Paper›PMID 40402447›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Phosphoflow: Evaluation of Protein Phosphorylation Status by Cytofluorimetric Assay.

Alejandra Martínez-Pérez, Candelaria Aguilar-García, Rocío Granda-Díaz, Segundo Gonzalez, Christian Sordo-Bahamonde

Abstract read
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In one paragraph

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

5 authors.

Alejandra Martínez-PérezDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Candelaria Aguilar-GarcíaDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Rocío Granda-DíazDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Segundo GonzalezDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain. segundog@uniovi.es.
Christian Sordo-BahamondeDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain. sordochristian@uniovi.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation is a reversible posttranslational modification essential for intracellular signaling in cells. Disruptions in these processes are fundamental to cancer development, as imbalances in phosphorylation can lead to aberrant signaling pathways driving tumor initiation, progression, and metastasis. Analyzing phosphorylation patterns in cancer cells can reveal critical signaling nodes and potential therapeutic targets. Reliable assessment of protein phosphorylation is crucial, and techniques such as phosphate-affinity SDS-PAGE, Western blotting, phospho-specific ELISA, mass spectrometry, and phospho-arrays are employed. This chapter focuses on phosphoflow technology, a flow cytometry-based assay, advantageous for its ability to analyze multiple cell populations and phosphorylation events simultaneously with minimal sample sizes. This method combines the principles of flow cytometry with specific antibodies that recognize phosphorylated epitopes on proteins. Phosphoflow allows to analyze multiple phosphorylated proteins simultaneously within a heterogeneous cell population without the need for cell purification. It is particularly useful for studying intracellular signaling pathways in various cell types, including those from clinical samples.

Indexed as

Flow CytometryPhosphoproteinsCell Line, TumorHumansPhosphorylationProtein Processing, Post-TranslationalSignal TransductionPhosphoproteinsCancerCytometryPhosphorylation

Identifiers

What OpenQuestion holds

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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.