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Mutations in the Global Transcription Factor CRP/CAP: Insights from Experimental Evolution and Deep Sequencing.
Frendorf, Pernille Ott; Lauritsen, Ida; Sekowska, Agnieszka; Danchin, Antoine; Nørholm, Morten H H.
Afiliação
  • Frendorf PO; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet B220, DK-2800 Kgs. Lyngby, Denmark.
  • Lauritsen I; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet B220, DK-2800 Kgs. Lyngby, Denmark.
  • Sekowska A; Institut de Cardiométabolisme et Nutrition, CHU Pitié-Salpêtrière, 47 boulevard de l'Hôpital, 75013 Paris, France.
  • Danchin A; Institut Cochin, INSERM U1016, CNRS UMR8104, Université Paris Descartes, 24 rue du Faubourg Saint-Jacques, 75014 Paris, France.
  • Nørholm MHH; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet B220, DK-2800 Kgs. Lyngby, Denmark.
Comput Struct Biotechnol J ; 17: 730-736, 2019.
Article em En | MEDLINE | ID: mdl-31303977
ABSTRACT
The Escherichia coli cyclic AMP receptor protein (CRP or catabolite activator protein, CAP) provides a textbook example of bacterial transcriptional regulation and is one of the best studied transcription factors in biology. For almost five decades a large number of mutants, evolved in vivo or engineered in vitro, have shed light on the molecular structure and mechanism of CRP. Here, we review previous work, providing an overview of studies describing the isolation of CRP mutants. Furthermore, we present new data on deep sequencing of different bacterial populations that have evolved under selective pressure that strongly favors mutations in the crp locus. Our new approach identifies more than 100 new CRP mutations and paves the way for a deeper understanding of this fascinating bacterial master regulator.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2019 Tipo de documento: Article