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Scanning Quadrupole Data-Independent Acquisition, Part A: Qualitative and Quantitative Characterization.
Moseley, M Arthur; Hughes, Christopher J; Juvvadi, Praveen R; Soderblom, Erik J; Lennon, Sarah; Perkins, Simon R; Thompson, J Will; Steinbach, William J; Geromanos, Scott J; Wildgoose, Jason; Langridge, James I; Richardson, Keith; Vissers, Johannes P C.
Afiliación
  • Moseley MA; Proteomics and Metabolomics Shared Resource Center for Genomic and Computational Biology, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Hughes CJ; Waters Corporation , Wilmslow SK9 4AX, United Kingdom.
  • Juvvadi PR; Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Soderblom EJ; Proteomics and Metabolomics Shared Resource Center for Genomic and Computational Biology, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Lennon S; Waters Corporation , Wilmslow SK9 4AX, United Kingdom.
  • Perkins SR; Institute of Integrative Biology, University of Liverpool , Liverpool L69 3BX, United Kingdom.
  • Thompson JW; Proteomics and Metabolomics Shared Resource Center for Genomic and Computational Biology, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Steinbach WJ; Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Geromanos SJ; Department of Molecular Genetics and Microbiology, Duke University Medical Center , Durham, North Carolina 27710, United States.
  • Wildgoose J; Waters Corporation , Milford, Massachusetts 01757, United States.
  • Langridge JI; Waters Corporation , Wilmslow SK9 4AX, United Kingdom.
  • Richardson K; Waters Corporation , Wilmslow SK9 4AX, United Kingdom.
  • Vissers JPC; Waters Corporation , Wilmslow SK9 4AX, United Kingdom.
J Proteome Res ; 17(2): 770-779, 2018 02 02.
Article en En | MEDLINE | ID: mdl-28901143
A novel data-independent acquisition (DIA) method incorporating a scanning quadrupole in front of a collision cell and orthogonal acceleration time-of-flight mass analyzer is described. The method has been characterized for the qualitative and quantitative label-free proteomic analysis of complex biological samples. The principle of the scanning quadrupole DIA method is discussed, and analytical instrument characteristics, such as the quadrupole transmission width, scan/integration time, and chromatographic separation, have been optimized in relation to sample complexity for a number of different model proteomes of varying complexity and dynamic range including human plasma, cell lines, and bacteria. In addition, the technological merits over existing DIA approaches are described and contrasted. The qualitative and semiquantitative performance of the method is illustrated for the analysis of relatively simple protein digest mixtures and a well-characterized human cell line sample using untargeted and targeted search strategies. Finally, the results from a human cell line were compared against publicly available data that used similar chromatographic conditions but were acquired with DDA technology and alternative mass analyzer systems. Qualitative comparison showed excellent concordance of results with >90% overlap of the detected proteins.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Sanguíneas / Proteoma / Proteómica / Escherichia coli Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Sanguíneas / Proteoma / Proteómica / Escherichia coli Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos