A Global Mapping of Protein Complexes in S. cerevisiae

Systematic identification of protein-protein interactions (PPIs) on a genome scale has become an important focus of biology, as the majority of cellular functions are mediated by these interactions. Several high throughput experimental techniques have emerged as effective tools for querying the pro...

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Main Author: Vlasblom, James
Other Authors: Wodak, Shoshana J.
Language:en_ca
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/1807/36030
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-OTU.1807-360302013-12-03T03:38:51ZA Global Mapping of Protein Complexes in S. cerevisiaeVlasblom, JamesProteomicsBioinformatics0487Systematic identification of protein-protein interactions (PPIs) on a genome scale has become an important focus of biology, as the majority of cellular functions are mediated by these interactions. Several high throughput experimental techniques have emerged as effective tools for querying the protein-protein interactome and can be broadly categorized into those that detect direct, physical protein-protein interactions and those that yield information on the composition of protein complexes. Tandem affinity purification followed by mass spectrometry (TAP/MS) is an example of the latter that identifies proteins that co-purify with a given tagged query (bait) protein. Though TAP/MS enables these co-complexed associations to be identified on a proteome scale, the amount of data generated by the systematic querying of thousands of proteins can be extremely large. Data from multiple purifications are combined to form a very large network of proteins linked by edges whenever the corresponding pairs might form an association. Only a fraction of these pairwise associations correspond to physical interactions, however, and further computational analysis is necessary to filter out non-specific associations. This thesis examines how differing computational procedures for the analysis of TAP/MS data can affect the final PPI network, and outlines a procedure to accurately identify protein complexes from data consolidated from multiple proteome-scale TAP/MS experiments in the budding yeast \textit{Saccharomyces cerevisiae}. In collaboration with the Greenblatt and Emili laboratories at the University of Toronto, this methodology was extended to yeast membrane proteins to derive a comprehensive network of 13,343 PPIs and 720 protein complexes spanning both membrane and non-membrane proteins.Wodak, Shoshana J.2013-062013-08-13T16:08:41ZNO_RESTRICTION2013-08-13T16:08:41Z2013-08-13Thesishttp://hdl.handle.net/1807/36030en_ca
collection NDLTD
language en_ca
sources NDLTD
topic Proteomics
Bioinformatics
0487
spellingShingle Proteomics
Bioinformatics
0487
Vlasblom, James
A Global Mapping of Protein Complexes in S. cerevisiae
description Systematic identification of protein-protein interactions (PPIs) on a genome scale has become an important focus of biology, as the majority of cellular functions are mediated by these interactions. Several high throughput experimental techniques have emerged as effective tools for querying the protein-protein interactome and can be broadly categorized into those that detect direct, physical protein-protein interactions and those that yield information on the composition of protein complexes. Tandem affinity purification followed by mass spectrometry (TAP/MS) is an example of the latter that identifies proteins that co-purify with a given tagged query (bait) protein. Though TAP/MS enables these co-complexed associations to be identified on a proteome scale, the amount of data generated by the systematic querying of thousands of proteins can be extremely large. Data from multiple purifications are combined to form a very large network of proteins linked by edges whenever the corresponding pairs might form an association. Only a fraction of these pairwise associations correspond to physical interactions, however, and further computational analysis is necessary to filter out non-specific associations. This thesis examines how differing computational procedures for the analysis of TAP/MS data can affect the final PPI network, and outlines a procedure to accurately identify protein complexes from data consolidated from multiple proteome-scale TAP/MS experiments in the budding yeast \textit{Saccharomyces cerevisiae}. In collaboration with the Greenblatt and Emili laboratories at the University of Toronto, this methodology was extended to yeast membrane proteins to derive a comprehensive network of 13,343 PPIs and 720 protein complexes spanning both membrane and non-membrane proteins.
author2 Wodak, Shoshana J.
author_facet Wodak, Shoshana J.
Vlasblom, James
author Vlasblom, James
author_sort Vlasblom, James
title A Global Mapping of Protein Complexes in S. cerevisiae
title_short A Global Mapping of Protein Complexes in S. cerevisiae
title_full A Global Mapping of Protein Complexes in S. cerevisiae
title_fullStr A Global Mapping of Protein Complexes in S. cerevisiae
title_full_unstemmed A Global Mapping of Protein Complexes in S. cerevisiae
title_sort global mapping of protein complexes in s. cerevisiae
publishDate 2013
url http://hdl.handle.net/1807/36030
work_keys_str_mv AT vlasblomjames aglobalmappingofproteincomplexesinscerevisiae
AT vlasblomjames globalmappingofproteincomplexesinscerevisiae
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