Dataset Information

Phospho-networks in Ovarian Cancer Cell Lines

ABSTRACT: Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling processes. While thousands of mutations have been identified, mostly by genome-wide sequencing, systematic interpretation of their role in cancer and impact on cellular information processing is presently missing. Here, we propose a computational approach (ReKINect) to identify mutations attacking signaling networks. We demonstrate six types of network-attacking mutations (NAMs) including changes in kinase modulation, network rewiring as well as the genesis and extinction of specific phosphorylation sites. Through global, quantitative analysis of the exomes and (phospho-)proteomes of five ovarian cancer cell lines we identify and validate numerous NAMs. Finally, we explore the entire cancer genome repertoire and predict hundreds of NAMs affecting kinase and SH2 driven signaling. Our approach is scalable with the complexity of cancer genomes and cell signaling, and can be readily applied in personalized precision medicine.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Rune Linding

PROVIDER: MSV000080700 | MassIVE | Tue Mar 28 21:11:00 BST 2017

SECONDARY ACCESSION(S): PXD000901

REPOSITORIES: MassIVE

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Publications

Kinome-wide decoding of network-attacking mutations rewiring cancer signaling.

Creixell Pau P Schoof Erwin M EM Simpson Craig D CD Longden James J Miller Chad J CJ Lou Hua Jane HJ Perryman Lara L Cox Thomas R TR Zivanovic Nevena N Palmeri Antonio A Wesolowska-Andersen Agata A Helmer-Citterich Manuela M Ferkinghoff-Borg Jesper J Itamochi Hiroaki H Bodenmiller Bernd B Erler Janine T JT Turk Benjamin E BE Linding Rune R

Cell 20150917 1

Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network rewiring, and the genesis and extinction of phosphorylation sites. We developed a computational platform (ReKINect) to identify NAMs and systematically interpreted the exomes and quantitative (phospho-) ...[more]

PMID: 26388441

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Project description:Background Annexin-1 (ANXA1) plays pivotal roles in regulating various physiological processes including inflammation, proliferation and apoptosis, and deregulations of ANXA1 functions have been associated with tumorigenesis and metastasis events in several cancers. Though ANXA1 levels correlate with breast cancer disease status and outcome, its distinct functional involvement in breast cancer initiation and progression remains unclear. We hypothesized ANXA1-responsive kinase signaling alteration and associated phosphorylation signaling underlie early events in breast cancer initiation events and hence profiled ANXA1-dependent phosphorylation changes in mammary gland epithelial cells. Methods Quantitative phosphoproteomics analysis of mammary gland epithelial cells derived from ANXA1-heterozygous and ANXA1-deficient mice was carried out using SILAC-based mass spectrometry. Kinase and signaling changes underlying ANXA1 perturbations were derived by upstream kinase prediction and integrated network analysis of altered proteins and phosphoproteins. Results We identified a total of 8,110 unique phosphorylation sites, of which 582 phosphorylation sites on 372 proteins showed ANXA1-responsive changes. A majority of these phosphorylation changes occurred on proteins associated with cytoskeletal reorganization spanning the focal adhesion, stress fibers, and also the microtubule network pressing on new roles for ANXA1 in regulating microtubule dynamics. Comparative analysis of regulated global proteome and phosphoproteome highlighted key differences in translational and post-translational effects of ANXA1, and stressed on a close-coordinated rewiring of the cell adhesion network. Kinase prediction analysis suggested activity modulation of CAMK2, PAK, ERK, and IKK kinases upon loss of ANXA1. Integrative analysis revealed regulation of WNT and also Hippo signaling pathways in ANXA1-deficient mammary epithelial cells, wherein there is a downregulation of transcriptional effects of TEAD suggestive of ANXA1-responsive transcriptional rewiring. Conclusions The phosphoproteome landscape uncovered several novel perspectives for ANXA1 in mammary gland biology and stressed on its involvement in key signaling pathways modulating cell adhesion and migration that could contribute to breast cancer initiation.