Evidence map›Paper›PMID 41049126›Full record

ArticleBiochemistry and biophysics reports2025

Cellular phospho-signaling map of the enigmatic serine/threonine kinase MAST2.

Isha Fathima, Althaf Mahin, Pahal Priyanka, Nazah Naurah Vattoth, Ayishath Nishana, Athira Perunelly Gopalakrishnan, Sowmya Soman, Rajesh Raju

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Isha FathimaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Althaf MahinCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Pahal PriyankaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Nazah Naurah VattothCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Ayishath NishanaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Athira Perunelly GopalakrishnanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Sowmya SomanCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Rajesh RajuCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: MAST2 (Microtubule-Associated Serine/Threonine Kinase 2) is an enigmatic serine/threonine kinase that is considered to bridge microtubule-associated cytoskeletal architecture through its phospho-regulatory networks. Yet, MAST2 remains a dark horse in the human kinome, as the molecular details on its structure, upstream regulators, and downstream phosphorylation targets remain unknown. Methods and results: To interpret MAST2-linked phospho-signaling dynamics, PubMed-indexed articles were curated based on predefined MeSH terms to obtain global cellular phosphoproteomics datasets. Among 105 class I phosphosites in MAST2 identified across cellular phosphoproteomics datasets, 2 phosphosites, S74 and S148, were represented more abundantly compared to other phosphosites, making them predominant and functionally significant. Expression coregulation analysis, aimed at interpreting phosphosites that consistently show either similar or opposite patterns of expression, was performed by computing the expression patterns of phosphosites in parallel with the predominant MAST2 phosphosite. Their frequencies were then ranked across differential datasets to ensure consistency, and Fisher's exact test was performed to assess the likelihood of the coregulation pattern. Potential biases within the datasets were mitigated using additional cutoffs. Interpreting these datasets, we identified the majority of high-confidence coregulated protein phosphosites of both predominant phosphosites to be involved in transcriptional regulation. This is consistent with reports that a nearby Arg89Gln mutation in MAST2 disrupts its transcriptional regulatory activity. Co-occurrence analysis of phosphosites within MAST2 revealed that these predominant sites tend to co-occur positively and share similarity in expression coregulation patterns with phosphosites in other proteins. Finally, novel upstream kinases that potentially phosphorylate the predominant phosphosites of MAST2, as well as potential downstream substrates that are phosphorylated by MAST2, were also identified from the high-confidence coregulation dataset. Conclusions: We propose that phosphorylations at S74 and S148 of MAST2 are functionally similar, and that these phosphosites are candidate regulatory sites influencing the transcriptional regulatory activity of MAST2.

Indexed as

Co-occurrenceCo-regulationMAST2PhosphoproteomicsPhospho-signalingTranscription regulation

Identifiers

PMID41049126
PMCPMC12489769

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