An Integrated Global Analysis of Compartmentalized HRAS Signaling
Tapesh Santra,
Ana Herrero,
Javier Rodriguez,
Alex von Kriegsheim,
Luis F. Iglesias-Martinez,
Thomas Schwarzl,
Des Higgins,
Thin-Thin Aye,
Albert J.R. Heck,
Fernando Calvo,
Lorena Agudo-Ibáñez,
Piero Crespo,
David Matallanas,
Walter Kolch
Affiliations
Tapesh Santra
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Ana Herrero
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Javier Rodriguez
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Alex von Kriegsheim
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Luis F. Iglesias-Martinez
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Thomas Schwarzl
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland
Des Higgins
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Ireland; School of Medicine and Medical Science, University College Dublin, Belfield, Ireland
Thin-Thin Aye
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Science, Utrecht University, Padualaan 8, 3584 Utrecht, the Netherlands
Albert J.R. Heck
Biomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Science, Utrecht University, Padualaan 8, 3584 Utrecht, the Netherlands
Fernando Calvo
Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Cantabria, Santander 39011, Spain
Lorena Agudo-Ibáñez
Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Cantabria, Santander 39011, Spain
Piero Crespo
Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Cantabria, Santander 39011, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
David Matallanas
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland; Corresponding author
Walter Kolch
Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Ireland; School of Medicine and Medical Science, University College Dublin, Belfield, Ireland; Corresponding author
Summary: Modern omics technologies allow us to obtain global information on different types of biological networks. However, integrating these different types of analyses into a coherent framework for a comprehensive biological interpretation remains challenging. Here, we present a conceptual framework that integrates protein interaction, phosphoproteomics, and transcriptomics data. Applying this method to analyze HRAS signaling from different subcellular compartments shows that spatially defined networks contribute specific functions to HRAS signaling. Changes in HRAS protein interactions at different sites lead to different kinase activation patterns that differentially regulate gene transcription. HRAS-mediated signaling is the strongest from the cell membrane, but it regulates the largest number of genes from the endoplasmic reticulum. The integrated networks provide a topologically and functionally resolved view of HRAS signaling. They reveal distinct HRAS functions including the control of cell migration from the endoplasmic reticulum and TP53-dependent cell survival when signaling from the Golgi apparatus. : Santra et al. develop MiNETi (Mixed Network Integration) to integrate multi-omics data. Applying MiNETi to analyze the interactome, phosphoproteome, and transcriptome regulated by HRAS signaling from different subcellular compartments shows that HRAS controls phosphorylation-dependent signaling mainly from the cell membrane but regulates a large number of genes from endomembranes. Keywords: RAS, subcellular compartmentalization, signal transduction data integration, network biology, proteomics, transcriptomics, cell migration, TP53, apoptosis