Literature DB >> 30104635

A proximity-tagging system to identify membrane protein-protein interactions.

Qiang Liu1,2,3, Jun Zheng1,3, Weiping Sun1,3, Yinbo Huo1,2,3, Liye Zhang1, Piliang Hao1, Haopeng Wang4, Min Zhuang5.   

Abstract

The communication between cells and between cellular organelles is often controlled by the interaction of membrane proteins. Although many methods for the detection of protein-protein interactions (PPIs) exist, membrane PPIs remain difficult to detect. Here we developed a proximity-based tagging system, PUP-IT (pupylation-based interaction tagging), to identify membrane protein interactions. In this approach, a small protein tag, Pup, is applied to proteins that interact with a PafA-fused bait, enabling transient and weak interactions to be enriched and detected by mass spectrometry. Pup does not diffuse from the enzyme, which allows high-specificity labeling. We applied this approach to CD28, a critical costimulatory receptor for T lymphocyte activation, and identified known CD28 binding partners and multiple potential interacting proteins. In addition, we demonstrated that this method can identify the interaction between a cell surface receptor and its ligand.

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Year:  2018        PMID: 30104635     DOI: 10.1038/s41592-018-0100-5

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  41 in total

1.  RNA interference screen identifies NAA10 as a regulator of PXR transcription.

Authors:  Peter O Oladimeji; William C Wright; Jing Wu; Taosheng Chen
Journal:  Biochem Pharmacol       Date:  2018-12-16       Impact factor: 5.858

2.  BioID as a Tool for Protein-Proximity Labeling in Living Cells.

Authors:  Rhiannon M Sears; Danielle G May; Kyle J Roux
Journal:  Methods Mol Biol       Date:  2019

Review 3.  Breaking the Fourth Wall: Modulating Quaternary Associations for Protein Regulation and Drug Discovery.

Authors:  Marcus J C Long; Dziyana Hnedzko; Bo Kyoung Kim; Yimon Aye
Journal:  Chembiochem       Date:  2019-04-01       Impact factor: 3.164

4.  Mapping transmembrane binding partners for E-cadherin ectodomains.

Authors:  Omer Shafraz; Bin Xie; Soichiro Yamada; Sanjeevi Sivasankar
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-23       Impact factor: 11.205

Review 5.  Protein phase separation: A novel therapy for cancer?

Authors:  Wei Wang; Yingqian Chen; Aixiao Xu; Minyi Cai; Ji Cao; Hong Zhu; Bo Yang; Xuejing Shao; Meidan Ying; Qiaojun He
Journal:  Br J Pharmacol       Date:  2020-09-28       Impact factor: 8.739

Review 6.  Monitoring protein communities and their responses to therapeutics.

Authors:  Hanna G Budayeva; Donald S Kirkpatrick
Journal:  Nat Rev Drug Discov       Date:  2020-03-05       Impact factor: 84.694

7.  Detecting Tumor Antigen-Specific T Cells via Interaction-Dependent Fucosyl-Biotinylation.

Authors:  Zilei Liu; Jie P Li; Mingkuan Chen; Mengyao Wu; Yujie Shi; Wei Li; John R Teijaro; Peng Wu
Journal:  Cell       Date:  2020-10-22       Impact factor: 41.582

Review 8.  Interaction profiling methods to map protein and pathway targets of bioactive ligands.

Authors:  Jun X Huang; John S Coukos; Raymond E Moellering
Journal:  Curr Opin Chem Biol       Date:  2020-03-05       Impact factor: 8.822

9.  Photoproximity Profiling of Protein-Protein Interactions in Cells.

Authors:  David C McCutcheon; Gihoon Lee; Anthony Carlos; Jeffrey E Montgomery; Raymond E Moellering
Journal:  J Am Chem Soc       Date:  2019-12-30       Impact factor: 15.419

10.  Protein tyrosine phosphatase receptor type R (PTPRR) antagonizes the Wnt signaling pathway in ovarian cancer by dephosphorylating and inactivating β-catenin.

Authors:  Yuetong Wang; Jian Cao; Weiwei Liu; Jiali Zhang; Zuo Wang; Yiqun Zhang; Linjun Hou; Shengmiao Chen; Piliang Hao; Liye Zhang; Min Zhuang; Yang Yu; Dake Li; Gaofeng Fan
Journal:  J Biol Chem       Date:  2019-10-25       Impact factor: 5.157

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