Literature DB >> 19834888

Biotin tagging coupled with amino acid-coded mass tagging for efficient and precise screening of interaction proteome in mammalian cells.

Yu-Fei He1, Hui-Min Bao, Xiao-Feng Xiao, Shuai Zuo, Ru-Yun Du, Si-Wei Tang, Peng-Yuan Yang, Xian Chen.   

Abstract

In mammalian cells, when tandem affinity purification approach is employed, the existence of untagged endogenous target protein and repetitive washing steps together result in overall low yield of purified/stable complexes and the loss of weakly and transiently interacting partners of biological significance. To avoid the trade-offs involving in methodological sensitivity, precision, and throughput, here we introduce an integrated method, biotin tagging coupled with amino acid-coded mass tagging, for highly sensitive and accurate screening of mammalian protein-protein interactions. Without the need of establishing a stable cell line, using a short peptide tag which could be specifically biotinylated in vivo, the biotin-tagged target/bait protein was then isolated along with its associates efficiently by streptavidin magnetic microbeads in a single step. In a pulled-down complex amino acid-coded mass tagging serves as "in-spectra" quantitative markers to distinguish those bait-specific interactors from non-specific background proteins under stringent criteria. Applying this biotin tagging coupled with amino acid-coded mass tagging approach, we first biotin-tagged in vivo a multi-functional protein family member, 14-3-3epsilon, which was expressed at close to endogenous level. Starting with approximately 20 millions of 293T cells which were significantly less than what needed for a tandem affinity purification run, 266 specific interactors of 14-3-3epsilon were identified in high confidence.

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Year:  2009        PMID: 19834888      PMCID: PMC4302342          DOI: 10.1002/pmic.200800864

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  36 in total

1.  A generic protein purification method for protein complex characterization and proteome exploration.

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2.  Amino acid residue specific stable isotope labeling for quantitative proteomics.

Authors:  Haining Zhu; Songqin Pan; Sheng Gu; E Morton Bradbury; Xian Chen
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Review 3.  14-3-3 proteins: a historic overview.

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Journal:  Semin Cancer Biol       Date:  2006-04-01       Impact factor: 15.707

4.  Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research.

Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
Journal:  Proteomics       Date:  2007-02       Impact factor: 3.984

Review 5.  Mass spectrometry-based functional proteomics: from molecular machines to protein networks.

Authors:  Thomas Köcher; Giulio Superti-Furga
Journal:  Nat Methods       Date:  2007-10       Impact factor: 28.547

Review 6.  Analysis of protein complexes using mass spectrometry.

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Journal:  Nat Rev Mol Cell Biol       Date:  2007-08       Impact factor: 94.444

Review 7.  Is proteomics the new genomics?

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Review 8.  The molecular sociology of the cell.

Authors:  Carol V Robinson; Andrej Sali; Wolfgang Baumeister
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Authors:  Tianyi Wang; Tsung-Hsien Chuang; Tapani Ronni; Sheng Gu; Yu-Chun Du; Hong Cai; Hui-Qiao Sun; Helen L Yin; Xian Chen
Journal:  J Immunol       Date:  2006-02-01       Impact factor: 5.422

10.  Unfolded protein response and cell death after depletion of brefeldin A-inhibited guanine nucleotide-exchange protein GBF1.

Authors:  Carmen Citterio; Alessandro Vichi; Gustavo Pacheco-Rodriguez; Angel M Aponte; Joel Moss; Martha Vaughan
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-14       Impact factor: 11.205

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  8 in total

Review 1.  Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Authors:  Robyn M Kaake; Xiaorong Wang; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2010-05-05       Impact factor: 5.911

2.  Real-time monitoring of NKCC2 endocytosis by total internal reflection fluorescence (TIRF) microscopy.

Authors:  Ankita Bachhawat Jaykumar; Paulo S Caceres; Ibrahim Sablaban; Bakhos A Tannous; Pablo A Ortiz
Journal:  Am J Physiol Renal Physiol       Date:  2015-11-04

3.  Quantifying protein interaction dynamics by SWATH mass spectrometry: application to the 14-3-3 system.

Authors:  Ben C Collins; Ludovic C Gillet; George Rosenberger; Hannes L Röst; Anton Vichalkovski; Matthias Gstaiger; Ruedi Aebersold
Journal:  Nat Methods       Date:  2013-10-27       Impact factor: 28.547

4.  Regulation of the Water Channel Aquaporin-2 via 14-3-3θ and -ζ.

Authors:  Hanne B Moeller; Joachim Slengerik-Hansen; Takwa Aroankins; Mette Assentoft; Nanna MacAulay; Soeren K Moestrup; Vivek Bhalla; Robert A Fenton
Journal:  J Biol Chem       Date:  2015-12-08       Impact factor: 5.157

5.  Visualization and biochemical analyses of the emerging mammalian 14-3-3-phosphoproteome.

Authors:  Catherine Johnson; Michele Tinti; Nicola T Wood; David G Campbell; Rachel Toth; Fanny Dubois; Kathryn M Geraghty; Barry H C Wong; Laura J Brown; Jennifer Tyler; Aurélie Gernez; Shuai Chen; Silvia Synowsky; Carol MacKintosh
Journal:  Mol Cell Proteomics       Date:  2011-07-01       Impact factor: 5.911

6.  Mechanisms and Minimization of False Discovery of Metabolic Bioorthogonal Noncanonical Amino Acid Proteomics.

Authors:  Chao Liu; Nathan Wong; Etsuko Watanabe; William Hou; Leonardo Biral; Jonalyn DeCastro; Melod Mehdipour; Kiana Aran; Michael J Conboy; Irina M Conboy
Journal:  Rejuvenation Res       Date:  2022-04       Impact factor: 3.192

7.  14-3-3ε mediates the cell fate decision-making pathways in response of hepatocellular carcinoma to Bleomycin-induced DNA damage.

Authors:  Siwei Tang; Huimin Bao; Yang Zhang; Jun Yao; Pengyuan Yang; Xian Chen
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

8.  ATPR-induced G0 /G1 phase arrest in gastric cancer cells by regulating the binding of 14-3-3ε and filamin A.

Authors:  Yingli Zhao; Xing Fang; Hui Fang; Yubin Feng; Feihu Chen; Quan Xia
Journal:  Cancer Med       Date:  2018-06-04       Impact factor: 4.452

  8 in total

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