Literature DB >> 35612745

Comprehensive Interactome Mapping of Nuclear Receptors Using Proximity Biotinylation.

Lynda Agbo1,2, Sophie Anne Blanchet3,4, Pata-Eting Kougnassoukou Tchara1,2, Amélie Fradet-Turcotte5,6, Jean-Philippe Lambert7,8.   

Abstract

Nuclear receptors, including hormone receptors, perform their cellular activities by modulating their protein-protein interactions. They engage with specific ligands and translocate to the nucleus, where they bind the DNA and activate extensive transcriptional programs. Therefore, gaining a comprehensive overview of the protein-protein interactions they establish requires methods that function effectively throughout the cell with fast dynamics and high reproducibility. Focusing on estrogen receptor alpha (ESR1), the founding member of the nuclear receptor family, this chapter describes a new lentiviral system that allows the expression of TurboID-hemagglutinin (HA)-2 × Strep tagged proteins in mammalian cells to perform fast proximity biotinylation assays. Key validation steps for these reagents and their use in interactome mapping experiments in two distinct breast cancer cell lines are described. Our protocol enabled the quantification of ESR1 interactome generated by cellular contexts that were hormone-sensitive or not.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Interactome mapping; Mass spectrometry; Nuclear receptor; Proteomics; Proximity biotinylation; TurboID

Mesh:

Substances:

Year:  2022        PMID: 35612745     DOI: 10.1007/978-1-0716-2124-0_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  31 in total

Review 1.  Control of nuclear receptor activities in metabolism by post-translational modifications.

Authors:  Wahiba Berrabah; Pierrette Aumercier; Philippe Lefebvre; Bart Staels
Journal:  FEBS Lett       Date:  2011-04-07       Impact factor: 4.124

Review 2.  Interactome networks and human disease.

Authors:  Marc Vidal; Michael E Cusick; Albert-László Barabási
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

Review 3.  Historical overview of nuclear receptors.

Authors:  Jan-Ake Gustafsson
Journal:  J Steroid Biochem Mol Biol       Date:  2015-03-19       Impact factor: 4.292

Review 4.  Signaling by nuclear receptors.

Authors:  Richard Sever; Christopher K Glass
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-03-01       Impact factor: 10.005

Review 5.  Structural overview of the nuclear receptor superfamily: insights into physiology and therapeutics.

Authors:  Pengxiang Huang; Vikas Chandra; Fraydoon Rastinejad
Journal:  Annu Rev Physiol       Date:  2010       Impact factor: 19.318

Review 6.  The nuclear receptor superfamily: A structural perspective.

Authors:  Emily R Weikum; Xu Liu; Eric A Ortlund
Journal:  Protein Sci       Date:  2018-11       Impact factor: 6.725

Review 7.  The nuclear receptor superfamily: the second decade.

Authors:  D J Mangelsdorf; C Thummel; M Beato; P Herrlich; G Schütz; K Umesono; B Blumberg; P Kastner; M Mark; P Chambon; R M Evans
Journal:  Cell       Date:  1995-12-15       Impact factor: 41.582

8.  Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures.

Authors:  Yongsheng Li; Nidhi Sahni; Song Yi
Journal:  Oncotarget       Date:  2016-11-29

9.  Architecture of the human interactome defines protein communities and disease networks.

Authors:  Edward L Huttlin; Raphael J Bruckner; Joao A Paulo; Joe R Cannon; Lily Ting; Kurt Baltier; Greg Colby; Fana Gebreab; Melanie P Gygi; Hannah Parzen; John Szpyt; Stanley Tam; Gabriela Zarraga; Laura Pontano-Vaites; Sharan Swarup; Anne E White; Devin K Schweppe; Ramin Rad; Brian K Erickson; Robert A Obar; K G Guruharsha; Kejie Li; Spyros Artavanis-Tsakonas; Steven P Gygi; J Wade Harper
Journal:  Nature       Date:  2017-05-17       Impact factor: 49.962

10.  Pan-cancer mapping of differential protein-protein interactions.

Authors:  Gizem Gulfidan; Beste Turanli; Hande Beklen; Raghu Sinha; Kazim Yalcin Arga
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

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