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Reverse-ChIP Techniques for Identifying Locus-Specific Proteomes: A Key Tool in Unlocking the Cancer Regulome.
MacKenzie, Tim M G; Cisneros, Rocío; Maynard, Rajan D; Snyder, Michael P.
Afiliación
  • MacKenzie TMG; Genetics Department, Stanford University, Stanford, CA 94305, USA.
  • Cisneros R; Sarafan ChEM-H/IMA Postbaccalaureate Fellow in Target Discovery, Stanford University, Stanford, CA 94305, USA.
  • Maynard RD; Genetics Department, Stanford University, Stanford, CA 94305, USA.
  • Snyder MP; Genetics Department, Stanford University, Stanford, CA 94305, USA.
Cells ; 12(14)2023 07 14.
Article en En | MEDLINE | ID: mdl-37508524
ABSTRACT
A phenotypic hallmark of cancer is aberrant transcriptional regulation. Transcriptional regulation is controlled by a complicated array of molecular factors, including the presence of transcription factors, the deposition of histone post-translational modifications, and long-range DNA interactions. Determining the molecular identity and function of these various factors is necessary to understand specific aspects of cancer biology and reveal potential therapeutic targets. Regulation of the genome by specific factors is typically studied using chromatin immunoprecipitation followed by sequencing (ChIP-Seq) that identifies genome-wide binding interactions through the use of factor-specific antibodies. A long-standing goal in many laboratories has been the development of a 'reverse-ChIP' approach to identify unknown binding partners at loci of interest. A variety of strategies have been employed to enable the selective biochemical purification of sequence-defined chromatin regions, including single-copy loci, and the subsequent analytical detection of associated proteins. This review covers mass spectrometry techniques that enable quantitative proteomics before providing a survey of approaches toward the development of strategies for the purification of sequence-specific chromatin as a 'reverse-ChIP' technique. A fully realized reverse-ChIP technique holds great potential for identifying cancer-specific targets and the development of personalized therapeutic regimens.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cells Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cells Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos