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Epitranscriptomics & Cancer Adaptation : A.David

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Our research work focuses on the contribution of post-transcriptional mechanisms on cancer cell adaptation, in particular RNA epigenetic & translational control.

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Added by pcoopman
Last modified by standudu
Group name EquipePC
Item Type Journal Article
Title Network Reconstruction and Significant Pathway Extraction Using Phosphoproteomic Data from Cancer Cells
Creator Buffard et al.
Author Marion Buffard
Author Aurélien Naldi
Author Ovidiu Radulescu
Author Peter J. Coopman
Author Romain M. Larive
Author Gilles Freiss
Abstract Protein phosphorylation acts as an efficient switch controlling deregulated key signaling pathway in cancer. Computational biology aims to address the complexity of reconstructed networks but overrepresents well-known proteins and lacks information on less-studied proteins. A bioinformatic tool to reconstruct and select relatively small networks that connect signaling proteins to their targets in specific contexts is developed. It enables to propose and validate new signaling axes of the Syk kinase. To validate the potency of the tool, it is applied to two phosphoproteomic studies on oncogenic mutants of the well-known phosphatidyl-inositol 3-kinase (PIK3CA) and the unfamiliar Src-related tyrosine kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites (SRMS) kinase. By combining network reconstruction and signal propagation, comprehensive signaling networks from large-scale experimental data are built and multiple molecular paths from these kinases to their targets are extracted. Specific paths from two distinct PIK3CA mutants are retrieved, and their differential impact on the HER3 receptor kinase is explained. In addition, to address the missing connectivities of the SRMS kinase to its targets in interaction pathway databases, phospho-tyrosine and phospho-serine/threonine proteomic data are integrated. The resulting SRMS-signaling network comprises casein kinase 2, thereby validating its currently suggested role downstream of SRMS. The computational pipeline is publicly available, and contains a user-friendly graphical interface (http://doi.org/10.5281/zenodo.3333687).
Publication Proteomics
Volume 19
Issue 21-22
Pages e1800450
Date 11 2019
Journal Abbr Proteomics
Language eng
DOI 10.1002/pmic.201800450
ISSN 1615-9861
Library Catalog PubMed
Extra 00000 PMID: 31472481
Tags Cell Line, Tumor, first-last-corresponding, Humans, Mutation, Neoplasm Proteins, Neoplasms, oncogenic signaling, original, phosphatidyl-inositol 3-kinase enzyme, phosphoproteomics, Phosphorylation, Signal Transduction, Src-related tyrosine kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites, top, User-Computer Interface
Date Added 2020/07/17 - 17:58:56
Date Modified 2020/10/04 - 14:01:57
Notes and Attachments PubMed entry (Attachment)


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