Evidence map›Paper›PMID 41006927›Full record

ArticleThe protein journal2025

Unravelling the Phosphorylation Landscape of Anthrax Toxin Receptor 1: Mechanisms and Functional Insights Through Phosphoproteomic Data Integration.

Ayadathil Sujina, Amal Fahma, Suhail Subair, Leona D'cunha, Athira Perunelly Gopalakrishnan, Samseera Ummar, Prathik Basthikoppa Shivamurthy, Poornima Ramesh, Rajesh Raju

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Article in The protein journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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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

9 authors.

Ayadathil SujinaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Amal FahmaCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Suhail SubairCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Leona D'cunhaCentre 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.
Samseera UmmarCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Prathik Basthikoppa ShivamurthyCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India.
Poornima RameshCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India. poornima.devadhar@gmail.com.
Rajesh RajuCentre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore, Karnataka, 575018, India. rajrrnbt@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthrax Toxin Receptor 1 (ANTXR1) is a transmembrane protein involved in various biological processes, including angiogenesis, cell adhesion, and migration. As a receptor for Bacillus anthracis toxins and the oncolytic Seneca Valley virus, ANTXR1 plays pivotal roles in extracellular matrix interactions, actin cytoskeleton organization, and tumor progression. Despite its relevance in cancer biology, ANTXR1 remains understudied from a phosphoproteomics perspective. In this study, we report the phosphoproteomic landscape of the ANTXR1 protein through a unique data integration strategy from a mass spectrometry-based phosphoproteomics perspective. Through robust statistical analyses, conserved phosphorylation events of ANTXR1 across diverse experimental conditions were linked to its upstream kinases and binary interactors to deduce specific events modulated through ANTXR1 phosphorylation. This computational analysis of curated datasets identified conserved ANTXR1 phosphorylation events along with similar and oppositely co-regulated phosphorylation events of adjunct proteins, revealing extensive regulatory networks of ANTXR1. Our findings provide phosphorylation-dependent interaction between ANTXR1 and FLNA and their upstream kinases and phosphobinding motifs, emphasizing their collective role in cell migration. Overall, the study enhances the integrative analysis of mass spectrometry-based phosphoproteomics data through bioinformatics and statistical approaches.

Indexed as

FilaminsPhosphoproteinsProteomicsReceptors, PeptideHumansMicrofilament ProteinsPhosphorylationReceptors, Cell SurfaceANTXR1 protein, humanFilaminsMicrofilament ProteinsPhosphoproteinsReceptors, Cell SurfaceReceptors, PeptideANTXR1Cell migrationData integrationMass spectrometryPhosphorylation

Identifiers

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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 Socratic graph.