Literature DB >> 35927480

PROBER identifies proteins associated with programmable sequence-specific DNA in living cells.

Smarajit Mondal1, Muthukumar Ramanathan2, Weili Miao1, Robin M Meyers1, Deepti Rao1, Vanessa Lopez-Pajares1, Zurab Siprashvili1, David L Reynolds1, Douglas F Porter1, Ian Ferguson1, Poornima Neela1, Yang Zhao1, Lindsey M Meservey1, Margaret Guo1,3, Yen-Yu Yang4, Lin Li4, Yinsheng Wang4, Paul A Khavari5,6,7.   

Abstract

DNA-protein interactions mediate physiologic gene regulation and may be altered by DNA variants linked to polygenic disease. To enhance the speed and signal-to-noise ratio (SNR) in the identification and quantification of proteins associated with specific DNA sequences in living cells, we developed proximal biotinylation by episomal recruitment (PROBER). PROBER uses high-copy episomes to amplify SNR, and proximity proteomics (BioID) to identify the transcription factors and additional gene regulators associated with short DNA sequences of interest. PROBER quantified both constitutive and inducible association of transcription factors and corresponding chromatin regulators to target DNA sequences and binding quantitative trait loci due to single-nucleotide variants. PROBER identified alterations in regulator associations due to cancer hotspot mutations in the hTERT promoter, indicating that these mutations increase promoter association with specific gene activators. PROBER provides an approach to rapidly identify proteins associated with specific DNA sequences and their variants in living cells.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35927480     DOI: 10.1038/s41592-022-01552-w

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   47.990


  2 in total

1.  Identification of novel DNA-binding proteins using DNA-affinity chromatography/pull down.

Authors:  Brandon L Jutras; Ashutosh Verma; Brian Stevenson
Journal:  Curr Protoc Microbiol       Date:  2012-02

2.  Analyzing protein-protein interactions from affinity purification-mass spectrometry data with SAINT.

Authors:  Hyungwon Choi; Guomin Liu; Dattatreya Mellacheruvu; Mike Tyers; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Curr Protoc Bioinformatics       Date:  2012-09
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.