Literature DB >> 24060998

Mass spectrometry-based identification of proteins interacting with nucleic acids.

A Tacheny1, M Dieu, T Arnould, P Renard.   

Abstract

The identification of the regulatory proteins that control DNA transcription as well as RNA stability and translation represents a key step in the comprehension of gene expression regulation. Those proteins can be purified by DNA- or RNA-affinity chromatography, followed by identification by mass spectrometry. Although very simple in the concept, this represents a real technological challenge due to the low abundance of regulatory proteins compared to the highly abundant proteins binding to nucleic acids in a nonsequence-specific manner. Here we review the different strategies that have been set up to reach this purpose, discussing the key parameters that should be considered to increase the chances of success. Typically, two categories of biological questions can be distinguished: the identification of proteins that specifically interact with a precisely defined binding site, mostly addressed by quantitative mass spectrometry, and the identification in a non-comparative manner of the protein complexes recruited by a poorly characterized long regulatory region of nucleic acids. Finally, beside the numerous studies devoted to in vitro-assembled nucleic acid-protein complexes, the scarce data reported on proteomic analyses of in vivo-assembled complexes are described, with a special emphasis on the associated challenges.
© 2013.

Keywords:  DNA-affinity capture; Mass spectrometry; Protein–DNA interactions; Protein–RNA interactions; RNA-affinity capture; Transcription factors

Mesh:

Substances:

Year:  2013        PMID: 24060998     DOI: 10.1016/j.jprot.2013.09.011

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  10 in total

1.  Photodissociative Cross-Linking of Diazirine-Tagged Peptides with DNA Dinucleotides in the Gas Phase.

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2.  The human DNA ends proteome uncovers an unexpected entanglement of functional pathways.

Authors:  Vivien Berthelot; Gildas Mouta-Cardoso; Nadia Hégarat; François Guillonneau; Jean-Christophe François; Carine Giovannangeli; Danièle Praseuth; Filippo Rusconi
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3.  Isolation of Cognate RNA-protein Complexes from Cells Using Oligonucleotide-directed Elution.

Authors:  Gatikrushna Singh; Sarah M Fritz; Arnaz Ranji; Deepali Singh; Kathleen Boris-Lawrie
Journal:  J Vis Exp       Date:  2017-01-16       Impact factor: 1.355

4.  Combinatorial requirement of W- and WT-boxes in microbe-associated molecular pattern-responsive synthetic promoters.

Authors:  Konstantin Kanofsky; Ann-Kathrin Bahlmann; Reinhard Hehl; Do Xuan Dong
Journal:  Plant Cell Rep       Date:  2017-03-24       Impact factor: 4.570

Review 5.  Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era.

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Journal:  J Proteome Res       Date:  2021-05-07       Impact factor: 4.466

6.  Haplotype-specific MAPT exon 3 expression regulated by common intronic polymorphisms associated with Parkinsonian disorders.

Authors:  Mang Ching Lai; Anne-Laure Bechy; Franziska Denk; Emma Collins; Maria Gavriliouk; Judith B Zaugg; Brent J Ryan; Richard Wade-Martins; Tara M Caffrey
Journal:  Mol Neurodegener       Date:  2017-10-30       Impact factor: 14.195

Review 7.  Transcriptional control of Arabidopsis seed development.

Authors:  Subodh Verma; Venkata Pardha Saradhi Attuluri; Hélène S Robert
Journal:  Planta       Date:  2022-03-23       Impact factor: 4.116

8.  Impact of microRNA-130a on the neutrophil proteome.

Authors:  Corinna Cavan Pedersen; Jan Christian Refsgaard; Ole Østergaard; Lars Juhl Jensen; Niels Henrik Helweg Heegaard; Niels Borregaard; Jack Bernard Cowland
Journal:  BMC Immunol       Date:  2015-11-25       Impact factor: 3.615

Review 9.  Identifying proteins that bind to specific RNAs - focus on simple repeat expansion diseases.

Authors:  Magdalena Jazurek; Adam Ciesiolka; Julia Starega-Roslan; Katarzyna Bilinska; Wlodzimierz J Krzyzosiak
Journal:  Nucleic Acids Res       Date:  2016-09-12       Impact factor: 16.971

Review 10.  Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review.

Authors:  Jia-Wei Li; Xiao-Yan Zhang; Hui Wu; Yun-Peng Bai
Journal:  Front Bioeng Biotechnol       Date:  2020-02-19
  10 in total

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