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A computational pipeline to visualize DNA-protein binding states using dSMF data.
Rao, Satyanarayan; Ramachandran, Srinivas.
Afiliação
  • Rao S; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
  • Ramachandran S; RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO 80045, USA.
STAR Protoc ; 3(2): 101299, 2022 06 17.
Article em En | MEDLINE | ID: mdl-35463472
Here, we present a pipeline to map states of protein-binding DNA in vivo. Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in Drosophila S2 cells. Data from cells lacking endogenous DNA methylation are a prerequisite for this pipeline. For complete details on the use and execution of this protocol, please refer to Rao et al. (2021) and Krebs et al. (2017).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Metilação de DNA Idioma: En Revista: STAR Protoc Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA / Metilação de DNA Idioma: En Revista: STAR Protoc Ano de publicação: 2022 Tipo de documento: Article