Literature DB >> 14640712

Affinity capture of specific DNA-binding proteins for mass spectrometric identification.

Mariana Yaneva1, Paul Tempst.   

Abstract

We describe a general approach for affinity microcapture of site-specific, nucleic acid-binding proteins. The major difficulties to developing this method into a widely applicable protocol derived from the need for a massive enrichment and the inadvertent, extensive binding of nonspecific proteins to the bait. On the basis of a detailed analysis, we propose (i) a one-step fractionation of crude extracts on P11 phosphocellulose, followed by (ii) a discrete series of positive/negative selections on wild-type and site-mutated ligand DNA in a magnetic microparticulate format, with cobalt magnets, concatamerized and biotinylated ligands, selective salt conditions, and improved competitor DNAs. We also present rules for determining the precise number and order of selections. The approach and protocol allowed isolation of four, low-abundance transcription factors and repressors from 2 x 10(9) cultured leukemia cells. Captured proteins were 10-20,000-fold enriched from the nuclear extract, in a form and amounts that permitted facile MALDI-TOF and TOF/TOF MS-based protein identification. This is 1-2 orders of magnitude better than many previous efforts and in a fraction of the time (approximately 1 factor/week). The method can be applied to any protein that binds DNA, including those with modest to low affinity, and bridges functional-biochemical studies on replication, transcriptional regulation, and DNA repair with the analytical power of mass spectrometry-based proteomics.

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Year:  2003        PMID: 14640712     DOI: 10.1021/ac034698l

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  14 in total

1.  A SILAC-based DNA protein interaction screen that identifies candidate binding proteins to functional DNA elements.

Authors:  Gerhard Mittler; Falk Butter; Matthias Mann
Journal:  Genome Res       Date:  2008-11-17       Impact factor: 9.043

2.  Transcription factor proteomics: identification by a novel gel mobility shift-three-dimensional electrophoresis method coupled with southwestern blot and high-performance liquid chromatography-electrospray-mass spectrometry analysis.

Authors:  Daifeng Jiang; Yinshan Jia; Harry W Jarrett
Journal:  J Chromatogr A       Date:  2011-08-16       Impact factor: 4.759

3.  A quantitative proteomics approach identifies ETV6 and IKZF1 as new regulators of an ERG-driven transcriptional network.

Authors:  Ashwin Unnikrishnan; Yi F Guan; Yizhou Huang; Dominik Beck; Julie A I Thoms; Sofie Peirs; Kathy Knezevic; Shiyong Ma; Inge V de Walle; Ineke de Jong; Zara Ali; Ling Zhong; Mark J Raftery; Tom Taghon; Jonas Larsson; Karen L MacKenzie; Pieter Van Vlierberghe; Jason W H Wong; John E Pimanda
Journal:  Nucleic Acids Res       Date:  2016-09-06       Impact factor: 16.971

Review 4.  Purification and characterization of transcription factors.

Authors:  L I Nagore; R J Nadeau; Q Guo; Y L A Jadhav; H W Jarrett; W E Haskins
Journal:  Mass Spectrom Rev       Date:  2013-07-07       Impact factor: 10.946

5.  Proteomic analysis yields an unexpected trans-acting point in control of the human sympathochromaffin phenotype.

Authors:  Stéphane Chiron; Zhiyun Wei; Yuqing Chen; Kuixing Zhang; Gen Wen; Wolfgang H Fischer; Sushil K Mahata; Daniel T O'Connor
Journal:  Circ Cardiovasc Genet       Date:  2011-05-06

6.  Exploring DNA-binding proteins with in vivo chemical cross-linking and mass spectrometry.

Authors:  Haibo Qin; Yinsheng Wang
Journal:  J Proteome Res       Date:  2009-04       Impact factor: 4.466

7.  Analysis of peptides and proteins affinity-bound to iron oxide nanoparticles by MALDI MS.

Authors:  Sarah Y Chang; Nan-Yan Zheng; Chee-Shan Chen; Cheng-Dah Chen; Ying-Yi Chen; C R Cris Wang
Journal:  J Am Soc Mass Spectrom       Date:  2007-03-23       Impact factor: 3.109

8.  Complementary quantitative proteomics reveals that transcription factor AP-4 mediates E-box-dependent complex formation for transcriptional repression of HDM2.

Authors:  Wei-Chi Ku; Sung-Kay Chiu; Yi-Ju Chen; Hsin-Hung Huang; Wen-Guey Wu; Yu-Ju Chen
Journal:  Mol Cell Proteomics       Date:  2009-06-07       Impact factor: 5.911

9.  An ancestral variant of Secretogranin II confers regulation by PHOX2 transcription factors and association with hypertension.

Authors:  Gen Wen; Jennifer Wessel; Weidong Zhou; Georg B Ehret; Fangwen Rao; Mats Stridsberg; Sushil K Mahata; Peter M Gent; Madhusudan Das; Richard S Cooper; Aravinda Chakravarti; Huilin Zhou; Nicholas J Schork; Daniel T O'connor; Bruce A Hamilton
Journal:  Hum Mol Genet       Date:  2007-06-21       Impact factor: 6.150

Review 10.  Methods for proteomic analysis of transcription factors.

Authors:  Daifeng Jiang; Harry W Jarrett; William E Haskins
Journal:  J Chromatogr A       Date:  2009-08-21       Impact factor: 4.759

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