Literature DB >> 23388641

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

Hamid Mirzaei1, Theo A Knijnenburg, Bong Kim, Max Robinson, Paola Picotti, Gregory W Carter, Song Li, David J Dilworth, Jimmy K Eng, John D Aitchison, Ilya Shmulevich, Timothy Galitski, Ruedi Aebersold, Jeffrey Ranish.   

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.

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Year:  2013        PMID: 23388641      PMCID: PMC3587231          DOI: 10.1073/pnas.1216918110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

1.  Genome-wide location and function of DNA binding proteins.

Authors:  B Ren; F Robert; J J Wyrick; O Aparicio; E G Jennings; I Simon; J Zeitlinger; J Schreiber; N Hannett; E Kanin; T L Volkert; C J Wilson; S P Bell; R A Young
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  The study of macromolecular complexes by quantitative proteomics.

Authors:  Jeffrey A Ranish; Eugene C Yi; Deena M Leslie; Samuel O Purvine; David R Goodlett; Jimmy Eng; Ruedi Aebersold
Journal:  Nat Genet       Date:  2003-02-18       Impact factor: 38.330

3.  mProphet: automated data processing and statistical validation for large-scale SRM experiments.

Authors:  Lukas Reiter; Oliver Rinner; Paola Picotti; Ruth Hüttenhain; Martin Beck; Mi-Youn Brusniak; Michael O Hengartner; Ruedi Aebersold
Journal:  Nat Methods       Date:  2011-03-20       Impact factor: 28.547

4.  Sfl1 functions via the co-repressor Ssn6-Tup1 and the cAMP-dependent protein kinase Tpk2.

Authors:  R S Conlan; D Tzamarias
Journal:  J Mol Biol       Date:  2001-06-22       Impact factor: 5.469

Review 5.  The sensing of nutritional status and the relationship to filamentous growth in Saccharomyces cerevisiae.

Authors:  Marco Gagiano; Florian F Bauer; Isak S Pretorius
Journal:  FEMS Yeast Res       Date:  2002-12       Impact factor: 2.796

6.  Protein kinase A operates a molecular switch that governs yeast pseudohyphal differentiation.

Authors:  Xuewen Pan; Joseph Heitman
Journal:  Mol Cell Biol       Date:  2002-06       Impact factor: 4.272

7.  AZF1 is a glucose-dependent positive regulator of CLN3 transcription in Saccharomyces cerevisiae.

Authors:  Laura L Newcomb; Duane D Hall; Warren Heideman
Journal:  Mol Cell Biol       Date:  2002-03       Impact factor: 4.272

8.  Amino acid starvation and Gcn4p regulate adhesive growth and FLO11 gene expression in Saccharomyces cerevisiae.

Authors:  Gerhard H Braus; Olav Grundmann; Stefan Brückner; Hans-Ulrich Mösch
Journal:  Mol Biol Cell       Date:  2003-06-27       Impact factor: 4.138

9.  Mot3 is a transcriptional repressor of ergosterol biosynthetic genes and is required for normal vacuolar function in Saccharomyces cerevisiae.

Authors:  Cintia Hongay; Nan Jia; Martin Bard; Fred Winston
Journal:  EMBO J       Date:  2002-08-01       Impact factor: 11.598

10.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

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  14 in total

1.  An LXR-NCOA5 gene regulatory complex directs inflammatory crosstalk-dependent repression of macrophage cholesterol efflux.

Authors:  Mark A Gillespie; Elizabeth S Gold; Stephen A Ramsey; Irina Podolsky; Alan Aderem; Jeffrey A Ranish
Journal:  EMBO J       Date:  2015-03-09       Impact factor: 11.598

2.  Detection of FGF15 in plasma by stable isotope standards and capture by anti-peptide antibodies and targeted mass spectrometry.

Authors:  Takeshi Katafuchi; Daria Esterházy; Andrew Lemoff; Xunshan Ding; Varun Sondhi; Steven A Kliewer; Hamid Mirzaei; David J Mangelsdorf
Journal:  Cell Metab       Date:  2015-06-02       Impact factor: 27.287

Review 3.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

Review 4.  Decoding neuroproteomics: integrating the genome, translatome and functional anatomy.

Authors:  Robert R Kitchen; Joel S Rozowsky; Mark B Gerstein; Angus C Nairn
Journal:  Nat Neurosci       Date:  2014-10-28       Impact factor: 24.884

Review 5.  Past Roadblocks and New Opportunities in Transcription Factor Network Mapping.

Authors:  Michael R Brent
Journal:  Trends Genet       Date:  2016-10-06       Impact factor: 11.639

Review 6.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

Review 7.  Systems cell biology.

Authors:  Fred D Mast; Alexander V Ratushny; John D Aitchison
Journal:  J Cell Biol       Date:  2014-09-15       Impact factor: 10.539

8.  Genomic and transcriptome analyses reveal that MAPK- and phosphatidylinositol-signaling pathways mediate tolerance to 5-hydroxymethyl-2-furaldehyde for industrial yeast Saccharomyces cerevisiae.

Authors:  Qian Zhou; Z Lewis Liu; Kang Ning; Anhui Wang; Xiaowei Zeng; Jian Xu
Journal:  Sci Rep       Date:  2014-10-09       Impact factor: 4.379

9.  Direct and Absolute Quantification of over 1800 Yeast Proteins via Selected Reaction Monitoring.

Authors:  Craig Lawless; Stephen W Holman; Philip Brownridge; Karin Lanthaler; Victoria M Harman; Rachel Watkins; Dean E Hammond; Rebecca L Miller; Paul F G Sims; Christopher M Grant; Claire E Eyers; Robert J Beynon; Simon J Hubbard
Journal:  Mol Cell Proteomics       Date:  2016-01-10       Impact factor: 5.911

Review 10.  Genomics meets proteomics: identifying the culprits in disease.

Authors:  Hendrik G Stunnenberg; Nina C Hubner
Journal:  Hum Genet       Date:  2013-10-18       Impact factor: 4.132

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