Literature DB >> 25452129

BioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors.

Dharmendra Dingar1, Manpreet Kalkat1, Pak-Kei Chan1, Tharan Srikumar1, Swneke D Bailey1, William B Tu1, Etienne Coyaud1, Romina Ponzielli1, Max Kolyar1, Igor Jurisica1, Annie Huang2, Mathieu Lupien1, Linda Z Penn3, Brian Raught4.   

Abstract

The BioID proximity-based biotin labeling technique was recently developed for the characterization of protein-protein interaction networks [1]. To date, this method has been applied to a number of different polypeptides expressed in cultured cells. Here we report the adaptation of BioID to the identification of protein-protein interactions surrounding the c-MYC oncoprotein in human cells grown both under standard culture conditions and in mice as tumor xenografts. Notably, in vivo BioID yielded >100 high confidence MYC interacting proteins, including >30 known binding partners. Putative novel MYC interactors include components of the STAGA/KAT5 and SWI/SNF chromatin remodeling complexes, DNA repair and replication factors, general transcription and elongation factors, and transcriptional co-regulators such as the DNA helicase protein chromodomain 8 (CHD8). Providing additional confidence in these findings, ENCODE ChIP-seq datasets highlight significant coincident binding throughout the genome for the MYC interactors identified here, and we validate the previously unreported MYC-CHD8 interaction using both a yeast two hybrid analysis and the proximity-based ligation assay. In sum, we demonstrate that BioID can be utilized to identify bona fide interacting partners for a chromatin-associated protein in vivo. This technique will allow for a much improved understanding of protein-protein interactions in a previously inaccessible biological setting. BIOLOGICAL SIGNIFICANCE: The c-MYC (MYC) oncogene is a transcription factor that plays important roles in cancer initiation and progression. MYC expression is deregulated in more than 50% of human cancers, but the role of this protein in normal cell biology and tumor progression is still not well understood, in part because identifying MYC-interacting proteins has been technically challenging: MYC-containing chromatin-associated complexes are difficult to isolate using traditional affinity purification methods, and the MYC protein is exceptionally labile, with a half-life of only ~30 min. Developing a new strategy to gain insight into MYC-containing protein complexes would thus mark a key advance in cancer research. The recently described BioID proximity-based labeling technique represents a promising new complementary approach for the characterization of protein-protein interactions (PPIs) in cultured cells. Here we report that BioID can also be used to characterize protein-protein interactions for a chromatin-associated protein in tumor xenografts, and present a comprehensive, high confidence in vivo MYC interactome. This article is part of a Special Issue entitled: Protein dynamics in health and disease. Guest Editors: Pierre Thibault and Anne-Claude Gingras.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BioID; CHD8; Mass spectrometry; Proteomics; c-MYC oncogene

Mesh:

Substances:

Year:  2014        PMID: 25452129     DOI: 10.1016/j.jprot.2014.09.029

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


  58 in total

1.  AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation Assay.

Authors:  Xiulei Mo; Qi Qi; Andrei A Ivanov; Qiankun Niu; Yin Luo; Jonathan Havel; Russell Goetze; Sydney Bell; Carlos S Moreno; Lee A D Cooper; Margaret A Johns; Fadlo R Khuri; Yuhong Du; Haian Fu
Journal:  Mol Pharmacol       Date:  2017-01-13       Impact factor: 4.436

2.  Interaction with WDR5 promotes target gene recognition and tumorigenesis by MYC.

Authors:  Lance R Thomas; Qingguo Wang; Brian C Grieb; Jason Phan; Audra M Foshage; Qi Sun; Edward T Olejniczak; Travis Clark; Soumyadeep Dey; Shelly Lorey; Bethany Alicie; Gregory C Howard; Bryan Cawthon; Kevin C Ess; Christine M Eischen; Zhongming Zhao; Stephen W Fesik; William P Tansey
Journal:  Mol Cell       Date:  2015-03-26       Impact factor: 17.970

Review 3.  The Chromodomain Helicase DNA-Binding Chromatin Remodelers: Family Traits that Protect from and Promote Cancer.

Authors:  Alea A Mills
Journal:  Cold Spring Harb Perspect Med       Date:  2017-04-03       Impact factor: 6.915

Review 4.  Proximity labeling: spatially resolved proteomic mapping for neurobiology.

Authors:  Shuo Han; Jiefu Li; Alice Y Ting
Journal:  Curr Opin Neurobiol       Date:  2017-11-08       Impact factor: 6.627

5.  Genetically encoded releasable photo-cross-linking strategies for studying protein-protein interactions in living cells.

Authors:  Yi Yang; Haiping Song; Dan He; Shuai Zhang; Shizhong Dai; Xiao Xie; Shixian Lin; Ziyang Hao; Huangtao Zheng; Peng R Chen
Journal:  Nat Protoc       Date:  2017-09-21       Impact factor: 13.491

6.  NSD3-Short Is an Adaptor Protein that Couples BRD4 to the CHD8 Chromatin Remodeler.

Authors:  Chen Shen; Jonathan J Ipsaro; Junwei Shi; Joseph P Milazzo; Eric Wang; Jae-Seok Roe; Yutaka Suzuki; Darryl J Pappin; Leemor Joshua-Tor; Christopher R Vakoc
Journal:  Mol Cell       Date:  2015-11-25       Impact factor: 17.970

Review 7.  Facilitation of base excision repair by chromatin remodeling.

Authors:  John M Hinz; Wioletta Czaja
Journal:  DNA Repair (Amst)       Date:  2015-09-16

Review 8.  Filling the Void: Proximity-Based Labeling of Proteins in Living Cells.

Authors:  Dae In Kim; Kyle J Roux
Journal:  Trends Cell Biol       Date:  2016-09-22       Impact factor: 20.808

Review 9.  The interplay between cell signalling and the mevalonate pathway in cancer.

Authors:  Peter J Mullen; Rosemary Yu; Joseph Longo; Michael C Archer; Linda Z Penn
Journal:  Nat Rev Cancer       Date:  2016-08-26       Impact factor: 60.716

10.  BioID Identification of Lamin-Associated Proteins.

Authors:  Aaron A Mehus; Ruthellen H Anderson; Kyle J Roux
Journal:  Methods Enzymol       Date:  2015-09-26       Impact factor: 1.600

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