Literature DB >> 22846927

Analyzing In Vivo Metabolite-Protein Interactions By Large-Scale Systematic Analyses.

Xiyan Li1, Michael Snyder.   

Abstract

Metabolites interact with proteins in vivo in various ways other than enzymatic reactions. Profiling of such interactions may help disclose unknown molecular mechanisms that regulate protein functions, and provide potential targets for disease treatment. Here we describe a procedure for systematic analyses of metabolite-protein interactions in vivo. This procedure couples protein affinity purification and mass spectrometry to identify metabolite-protein interactions. The primary effort can be completed within one day and scaled to process hundreds of samples in a batch. Originally developed in yeast, the same principle and protocol can be adapted to other organisms.

Entities:  

Year:  2011        PMID: 22846927      PMCID: PMC3403684          DOI: 10.1002/9780470559277.ch110193

Source DB:  PubMed          Journal:  Curr Protoc Chem Biol        ISSN: 2160-4762


  10 in total

1.  Parallel determination of multiple protein metabolite interactions using cell extract, protein microarrays and mass spectrometric detection.

Authors:  Victor N Morozov; Tamara Ya Morozova; Kenneth L Johnson; Stephen Naylor
Journal:  Rapid Commun Mass Spectrom       Date:  2003       Impact factor: 2.419

2.  Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses.

Authors:  Xiyan Li; Tara A Gianoulis; Kevin Y Yip; Mark Gerstein; Michael Snyder
Journal:  Cell       Date:  2010-10-28       Impact factor: 41.582

3.  Biochemical and genetic analysis of the yeast proteome with a movable ORF collection.

Authors:  Daniel M Gelperin; Michael A White; Martha L Wilkinson; Yoshiko Kon; Li A Kung; Kevin J Wise; Nelson Lopez-Hoyo; Lixia Jiang; Stacy Piccirillo; Haiyuan Yu; Mark Gerstein; Mark E Dumont; Eric M Phizicky; Michael Snyder; Elizabeth J Grayhack
Journal:  Genes Dev       Date:  2005-12-01       Impact factor: 11.361

4.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

5.  A global metabolite profiling approach to identify protein-metabolite interactions.

Authors:  Ranitendranath Tagore; Horatio R Thomas; Edwin A Homan; Ali Munawar; Alan Saghatelian
Journal:  J Am Chem Soc       Date:  2008-10-03       Impact factor: 15.419

6.  Metabolites as global regulators: a new view of protein regulation: systematic investigation of metabolite-protein interactions may help bridge the gap between genome-wide association studies and small molecule screening studies.

Authors:  Xiyan Li; Michael Snyder
Journal:  Bioessays       Date:  2011-04-14       Impact factor: 4.345

7.  Global analysis of protein activities using proteome chips.

Authors:  H Zhu; M Bilgin; R Bangham; D Hall; A Casamayor; P Bertone; N Lan; R Jansen; S Bidlingmaier; T Houfek; T Mitchell; P Miller; R A Dean; M Gerstein; M Snyder
Journal:  Science       Date:  2001-07-26       Impact factor: 47.728

8.  A synthetic IgG-binding domain based on staphylococcal protein A.

Authors:  B Nilsson; T Moks; B Jansson; L Abrahmsén; A Elmblad; E Holmgren; C Henrichson; T A Jones; M Uhlén
Journal:  Protein Eng       Date:  1987 Feb-Mar

9.  A gene fusion system for generating antibodies against short peptides.

Authors:  B Löwenadler; B Jansson; S Paleus; E Holmgren; B Nilsson; T Moks; G Palm; S Josephson; L Philipson; M Uhlén
Journal:  Gene       Date:  1987       Impact factor: 3.688

10.  A systematic screen for protein-lipid interactions in Saccharomyces cerevisiae.

Authors:  Oriol Gallego; Matthew J Betts; Jelena Gvozdenovic-Jeremic; Kenji Maeda; Christian Matetzki; Carmen Aguilar-Gurrieri; Pedro Beltran-Alvarez; Stefan Bonn; Carlos Fernández-Tornero; Lars Juhl Jensen; Michael Kuhn; Jamie Trott; Vladimir Rybin; Christoph W Müller; Peer Bork; Marko Kaksonen; Robert B Russell; Anne-Claude Gavin
Journal:  Mol Syst Biol       Date:  2010-11-30       Impact factor: 11.429

  10 in total
  3 in total

1.  Affinity purification with metabolomic and proteomic analysis unravels diverse roles of nucleoside diphosphate kinases.

Authors:  Marcin Luzarowski; Monika Kosmacz; Ewelina Sokolowska; Weronika Jasinska; Lothar Willmitzer; Daniel Veyel; Aleksandra Skirycz
Journal:  J Exp Bot       Date:  2017-06-15       Impact factor: 6.992

2.  2 in 1: One-step Affinity Purification for the Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes.

Authors:  Marcin Luzarowski; Izabela Wojciechowska; Aleksandra Skirycz
Journal:  J Vis Exp       Date:  2018-08-06       Impact factor: 1.355

3.  Emerging strategies for the identification of protein-metabolite interactions.

Authors:  Marcin Luzarowski; Aleksandra Skirycz
Journal:  J Exp Bot       Date:  2019-09-24       Impact factor: 6.992

  3 in total

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