Scripps VIVO scripps research logo

  • Index
  • Log in
  • Home
  • People
  • Organizations
  • Research
  • Events
Search form

Scanning the human genome with combinatorial transcription factor libraries

Academic Article
uri icon
  • Overview
  • Identity
  • Additional Document Info
  • View All
scroll to property group menus

Overview

authors

  • Blancafort, P.
  • Magnenat, L.
  • Barbas III, Carlos

publication date

  • March 2003

journal

  • Nature Biotechnology  Journal

abstract

  • Despite the critical importance of transcription factors in mediating gene regulation, there exists no general, genome-wide tool that uses transcription factors to induce or silence a target gene or select for a particular phenotype. In the strategy described here, we prepared large combinatorial libraries of artificial transcription factors comprising three or six zinc-finger domains, and selected transcription factor-DNA interactions able to upregulate several genes in human cells. Selected transcription factors either induced the expression of an endothelial-specific differentiation marker, VE-cadherin, in non-endothelial cell lines or, when combined with a repression domain, knocked down expression. Potential binding sites for a number of these transcription factors were mapped along the promoter of CDH5, the gene encoding VE-cadherin. Transcription factor libraries represent a useful approach for studying and modulating gene function in cells and potentially in whole organisms.

subject areas

  • Cell Line
  • Combinatorial Chemistry Techniques
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Genome, Human
  • Humans
  • Kidney
  • Peptide Library
  • Proteomics
  • Recombinant Proteins
  • Transcription Factors
  • Transfection
  • Zinc Fingers
scroll to property group menus

Identity

International Standard Serial Number (ISSN)

  • 1087-0156

Digital Object Identifier (DOI)

  • 10.1038/nbt794

PubMed ID

  • 12592412
scroll to property group menus

Additional Document Info

start page

  • 269

end page

  • 274

volume

  • 21

issue

  • 3

©2021 The Scripps Research Institute | Terms of Use | Powered by VIVO

  • About
  • Contact Us
  • Support