Your browser doesn't support javascript.
loading
High-throughput mapping of regulatory DNA.
Rajagopal, Nisha; Srinivasan, Sharanya; Kooshesh, Kameron; Guo, Yuchun; Edwards, Matthew D; Banerjee, Budhaditya; Syed, Tahin; Emons, Bart J M; Gifford, David K; Sherwood, Richard I.
Afiliação
  • Rajagopal N; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Srinivasan S; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Kooshesh K; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Guo Y; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Edwards MD; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA.
  • Banerjee B; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Syed T; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Emons BJ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Gifford DK; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Sherwood RI; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Nat Biotechnol ; 34(2): 167-74, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26807528
Quantifying the effects of cis-regulatory DNA on gene expression is a major challenge. Here, we present the multiplexed editing regulatory assay (MERA), a high-throughput CRISPR-Cas9-based approach that analyzes the functional impact of the regulatory genome in its native context. MERA tiles thousands of mutations across ∼40 kb of cis-regulatory genomic space and uses knock-in green fluorescent protein (GFP) reporters to read out gene activity. Using this approach, we obtain quantitative information on the contribution of cis-regulatory regions to gene expression. We identify proximal and distal regulatory elements necessary for expression of four embryonic stem cell-specific genes. We show a consistent contribution of neighboring gene promoters to gene expression and identify unmarked regulatory elements (UREs) that control gene expression but do not have typical enhancer epigenetic or chromatin features. We compare thousands of functional and nonfunctional genotypes at a genomic location and identify the base pair-resolution functional motifs of regulatory elements.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Análise de Sequência de DNA / Genômica / Elementos Reguladores de Transcrição / Sistemas CRISPR-Cas Limite: Animals Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Análise de Sequência de DNA / Genômica / Elementos Reguladores de Transcrição / Sistemas CRISPR-Cas Limite: Animals Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos