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Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions.
Brown, Colin W; Sridhara, Viswanadham; Boutz, Daniel R; Person, Maria D; Marcotte, Edward M; Barrick, Jeffrey E; Wilke, Claus O.
Afiliación
  • Brown CW; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
  • Sridhara V; Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, USA.
  • Boutz DR; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
  • Person MD; Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA.
  • Marcotte EM; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
  • Barrick JE; College of Pharmacy, The University of Texas at Austin, Austin, Texas, USA.
  • Wilke CO; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
BMC Genomics ; 18(1): 301, 2017 04 17.
Article en En | MEDLINE | ID: mdl-28412930
ABSTRACT

BACKGROUND:

Post-translational modification (PTM) of proteins is central to many cellular processes across all domains of life, but despite decades of study and a wealth of genomic and proteomic data the biological function of many PTMs remains unknown. This is especially true for prokaryotic PTM systems, many of which have only recently been recognized and studied in depth. It is increasingly apparent that a deep sampling of abundance across a wide range of environmental stresses, growth conditions, and PTM types, rather than simply cataloging targets for a handful of modifications, is critical to understanding the complex pathways that govern PTM deposition and downstream effects.

RESULTS:

We utilized a deeply-sampled dataset of MS/MS proteomic analysis covering 9 timepoints spanning the Escherichia coli growth cycle and an unbiased PTM search strategy to construct a temporal map of abundance for all PTMs within a 400 Da window of mass shifts. Using this map, we are able to identify novel targets and temporal patterns for N-terminal N α acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal N α acetylation and regulation of protein degradation in stationary phase, pointing to a previously unrecognized biological function for this poorly-understood PTM.

CONCLUSIONS:

Unbiased detection of PTM in MS/MS proteomics data facilitates the discovery of novel modification types and previously unobserved dynamic changes in modification across growth timepoints.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Escherichia coli / Glucosa Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Escherichia coli / Glucosa Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos