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A data integration methodology for systems biology: Experimental verification

Title: A data integration methodology for systems biology: Experimental verification
Authors: Hwang, D; Smith, JJ; Leslie, DM; Weston, AD; Rust, AG; Ramsey, S; Atauri, PD; Siegel, AF; Bolouri, H; Aitchison, JD; Hood, L
Contributors: 융합생명공학부; 10180943; Hwang, D
Publisher Information: NATL ACAD SCIENCES
Publication Year: 2005
Collection: Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS)
Subject Terms: SACCHAROMYCES-CEREVISIAE; PROTEIN INTERACTIONS; REGULATORY ELEMENTS; YEAST; MODULES; NETWORKS; DYNAMICS; GENES; metabolism; molecular network model; galactose
Description: The integration of data from multiple global assays is essential to understanding dynamic spatiotemporal interactions within cells. In a companion paper, we reported a data integration methodology, designated Pointillist, that can handle multiple data types from technologies with different noise characteristics. Here we demonstrate its application to the integration of 18 data sets relating to galactose utilization in yeast. These data include global changes in mRNA and protein abundance, genome-wide protein-DNA interaction data, database information, and computational predictions of protein-DNA and protein-protein interactions. We divided the integration task to determine three network components: key system elements (genes and proteins), protein-protein interactions, and protein-DNA interactions. Results indicate that the reconstructed network efficiently focuses on and recapitulates the known biology of galactose utilization. It also provided new insights, some of which were verified experimentally. The methodology described here, addresses a critical need across all domains of molecular and cell biology, to effectively integrate large and disparate data sets. ; open ; 1 ; 1 ; 86 ; 106 ; scie ; scopus
Document Type: article in journal/newspaper
Language: English
Relation: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA; 102; 48; 17302; 17307; SCI급, SCOPUS 등재논문; SCI; Multidisciplinary Sciences; Science & Technology - Other Topics; https://oasis.postech.ac.kr/handle/2014.oak/12732; 5910; 000233762000009
DOI: 10.1073/PNAS.0508649102
Availability: https://oasis.postech.ac.kr/handle/2014.oak/12732; https://doi.org/10.1073/PNAS.0508649102
Rights: BY_NC_ND ; http://creativecommons.org/licenses/by-nc-nd/2.0/kr
Accession Number: edsbas.5E7B054D
Database: BASE