Abstract

The regulation of gene transcription is fundamental to the existence of complex multicellular organisms such as humans. Although it is widely recognized that much of gene regulation is controlled by gene-specific protein-DNA interactions, there presently exists little in the way of tools to identify proteins that interact with the genome at locations of interest. We have developed a novel strategy to address this problem, which we refer to as GENECAPP, for Global ExoNuclease-based Enrichment of Chromatin-Associated Proteins for Proteomics. In this approach, formaldehyde cross-linking is employed to covalently link DNA to its associated proteins; subsequent fragmentation of the DNA, followed by exonuclease digestion, produces a single-stranded region of the DNA that enables sequence-specific hybridization capture of the protein-DNA complex on a solid support. Mass spectrometric (MS) analysis of the captured proteins is then used for their identification and/or quantification. We show here the development and optimization of GENECAPP for an in vitro model system, comprised of the murine insulin-like growth factor-binding protein 1 (IGFBP1) promoter region and FoxO1, a member of the forkhead rhabdomyosarcoma (FoxO) subfamily of transcription factors, which binds specifically to the IGFBP1 promoter. This novel strategy provides a powerful tool for studies of protein-DNA and protein-protein interactions.

Highlights

  • Proteins interact with DNA throughout the genome to control gene transcription on multiple levels [1]

  • The GENECAPP strategy employs sequence-specific hybridization capture of a specific DNA fragment to allow the isolation and subsequent characterization of all proteins bound to that region

  • The first step in the process is the treatment of cells or tissue with formaldehyde to cross-link proteins to DNA, as is routinely done in chromatin immunoprecipitation (ChIP)-Chip/Seq assays

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Summary

Introduction

Proteins interact with DNA throughout the genome to control gene transcription on multiple levels (e.g. chromatin accessibility and recruitment of transcription machinery) [1]. Very effective and extremely useful, the greatest limitation of these strategies is their requirement for a specific antibody directed against the protein of interest. This limits the approach to characterizing the genome-binding behavior of already known proteins, and does not help to identify new, previously unknown proteins, nor does it help to reveal the identities of additional interacting proteins that are associated with particular genomic regions of interest

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