Year: 2012
Type: article
Abstract: U niversal principles underlying network science and their ever-increasing applications in biomedicine underscore the unprecedented capacity of systems biology-based strategies to synthesize and resolve massive high-throughput generated data sets.Enabling previously unattainable comprehension of biological complexity, systems approaches have accelerated progress in elucidating disease prediction, progression, and outcome.Applied to the spectrum of states spanning health and disease, network proteomics establishes a collation, integration, and prioritization algorithm to guide mapping and decoding of proteome landscapes from large-scale raw data.Providing unparalleled deconvolution of protein lists into global interactomes, integrative systems proteomics enables objective, multimodal interpretation at molecular, pathway, and network scales, merging individual molecular components, their plurality of interactions, and functional contributions for systems comprehension.As such, network systems approaches are increasingly exploited for objective interpretation of cardiovascular proteomics studies.Here, we highlight network systems proteomic analysis pipelines for integration and biological interpretation through protein cartography, ontological categorization, pathway and functional enrichment, and complex network analysis.
Authors: D. Kent Arrell, Andre Terzic
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W2155152257