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http://dx.doi.org/10.1073/pnas...
Article . 2013 . Peer-reviewed
Data sources: SNSF P3 Database
Proceedings of the National Academy of Sciences
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins

Authors: Mirzaei, Hamid; Knijnenburg, Theo A; Kim, Bong; Robinson, Max; Picotti, Paola; Carter, Gregory W; Li, Song; +7 Authors

Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins

Abstract

Regulation of gene expression involves the orchestrated interaction of a large number of proteins with transcriptional regulatory elements in the context of chromatin. Our understanding of gene regulation is limited by the lack of a protein measurement technology that can systematically detect and quantify the ensemble of proteins associated with the transcriptional regulatory elements of specific genes. Here, we introduce a set of selected reaction monitoring (SRM) assays for the systematic measurement of 464 proteins with known or suspected roles in transcriptional regulation at RNA polymerase II transcribed promoters in Saccharomyces cerevisiae . Measurement of these proteins in nuclear extracts by SRM permitted the reproducible quantification of 42% of the proteins over a wide range of abundances. By deploying the assay to systematically identify DNA binding transcriptional regulators that interact with the environmentally regulated FLO11 promoter in cell extracts, we identified 15 regulators that bound specifically to distinct regions along ∼600 bp of the regulatory sequence. Importantly, the dataset includes a number of regulators that have been shown to either control FLO11 expression or localize to these regulatory regions in vivo. We further validated the utility of the approach by demonstrating that two of the SRM-identified factors, Mot3 and Azf1, are required for proper FLO11 expression. These results demonstrate the utility of SRM-based targeted proteomics to guide the identification of gene-specific transcriptional regulators.

Keywords

570, Saccharomyces cerevisiae Proteins, Proteome, Saccharomyces cerevisiae, Mass Spectrometry, 576, Promoter Regions, Genetic, Gene Expression Regulation, Fungal, Medicine and Health Sciences, DNA, Fungal, Promoter Regions, Genetic, Genetic Association Studies, Cell Nucleus, Life Sciences, Reproducibility of Results, DNA, DNA-Binding Proteins, Repressor Proteins, Fungal, Gene Expression Regulation, Trans-Activators, Protein Binding, Transcription Factors

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
bronze