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Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity.


ABSTRACT: Cells respond to stimuli by changes in various processes, including signaling pathways and gene expression. Efforts to identify components of these responses increasingly depend on mRNA profiling and genetic library screens. By comparing the results of these two assays across various stimuli, we found that genetic screens tend to identify response regulators, whereas mRNA profiling frequently detects metabolic responses. We developed an integrative approach that bridges the gap between these data using known molecular interactions, thus highlighting major response pathways. We used this approach to reveal cellular pathways responding to the toxicity of alpha-synuclein, a protein implicated in several neurodegenerative disorders including Parkinson's disease. For this we screened an established yeast model to identify genes that when overexpressed alter alpha-synuclein toxicity. Bridging these data and data from mRNA profiling provided functional explanations for many of these genes and identified previously unknown relations between alpha-synuclein toxicity and basic cellular pathways.

SUBMITTER: Yeger-Lotem E 

PROVIDER: S-EPMC2733244 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature

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Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity.

Yeger-Lotem Esti E   Riva Laura L   Su Linhui Julie LJ   Gitler Aaron D AD   Cashikar Anil G AG   King Oliver D OD   Auluck Pavan K PK   Geddie Melissa L ML   Valastyan Julie S JS   Karger David R DR   Lindquist Susan S   Fraenkel Ernest E  

Nature genetics 20090222 3


Cells respond to stimuli by changes in various processes, including signaling pathways and gene expression. Efforts to identify components of these responses increasingly depend on mRNA profiling and genetic library screens. By comparing the results of these two assays across various stimuli, we found that genetic screens tend to identify response regulators, whereas mRNA profiling frequently detects metabolic responses. We developed an integrative approach that bridges the gap between these dat  ...[more]

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