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      Single-Shot Top-Down Proteomics with Capillary Zone Electrophoresis-Electrospray Ionization-Tandem Mass Spectrometry for Identification of Nearly 600 Escherichia coli Proteoforms

      1 , 1 , 1 , 2 , 2 , 3 , 1
      Analytical Chemistry
      American Chemical Society (ACS)

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          Abstract

          <p class="first" id="P1">Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has been recognized as an invaluable platform for top-down proteomics. However, the scale of top-down proteomics using CZE-MS/MS is still limited due to the low loading capacity and narrow separation window of CZE. In this work, for the first time we systematically evaluated the dynamic pH junction method for focusing of intact proteins during CZE-MS. The optimized dynamic pH junction based CZE-MS/MS approached 1-μL loading capacity, 90-min separation window and high peak capacity (~280) for characterization of an <i>Escherichia coli</i> proteome. The results represent the largest loading capacity and the highest peak capacity of CZE for top-down characterization of complex proteomes. Single-shot CZE-MS/MS identified about 2,800 proteoform-spectrum matches, nearly 600 proteoforms, and 200 proteins from the <i>Escherichia coli</i> proteome with spectrum-level false discovery rate (FDR) less than 1%. The number of identified proteoforms in this work is over three times higher than that in previous single-shot CZE-MS/MS studies. Truncations, N-terminal methionine excision, signal peptide removal and some post-translational modifications including oxidation and acetylation were detected. </p><p id="P2"> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/2432ecf7-be28-4717-bdd1-fc117a7c7e9f/PubMedCentral/image/nihms924140u1.jpg"/> </div> </p>

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          Author and article information

          Journal
          Analytical Chemistry
          Anal. Chem.
          American Chemical Society (ACS)
          0003-2700
          1520-6882
          November 07 2017
          November 21 2017
          November 07 2017
          November 21 2017
          : 89
          : 22
          : 12059-12067
          Affiliations
          [1 ]Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
          [2 ]Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, 719 Indiana Avenue, Indianapolis, Indiana 46202, United States
          [3 ]Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 410 W. 10th Street, Indianapolis, Indiana 46202, United States
          Article
          10.1021/acs.analchem.7b02532
          5726253
          29064224
          3bc7b86e-ca85-4d9e-915c-5dc2cd627ef7
          © 2017
          History

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