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NHS-based Tandem Mass Tagging of Proteins at the Level of Whole Cells: A Critical Evaluation in Comparison to Conventional TMT-Labeling Approaches for Quantitative Proteome Analysis.
Megger, Dominik A; Pott, Leona L; Rosowski, Kristin; Zülch, Birgit; Tautges, Stephanie; Bracht, Thilo; Sitek, Barbara.
Afiliación
  • Megger DA; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
  • Pott LL; Institute for Virology, University Hospital Essen, University Duisburg-Essen.
  • Rosowski K; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
  • Zülch B; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
  • Tautges S; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
  • Bracht T; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
  • Sitek B; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Universitätsstr.
Anal Sci ; 33(12): 1387-1394, 2017.
Article en En | MEDLINE | ID: mdl-29225229
Tandem mass tags (TMT) are usually introduced at the levels of isolated proteins or peptides. Here, for the first time, we report the labeling of whole cells and a critical evaluation of its performance in comparison to conventional labeling approaches. The obtained results indicated that TMT protein labeling using intact cells is generally possible, if it is coupled to a subsequent enrichment using anti-TMT antibody. The quantitative results were similar to those obtained after labeling of isolated proteins and both were found to be slightly complementary to peptide labeling. Furthermore, when using NHS-based TMT, no specificity towards cell surface proteins was observed in the case of cell labeling. In summary, the conducted study revealed first evidence for the general possibility of TMT cell labeling and highlighted limitations of NHS-based labeling reagents. Future studies should therefore focus on the synthesis and investigation of membrane impermeable TMTs to increase specificity towards cell surface proteins.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Proteómica Idioma: En Revista: Anal Sci Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Proteómica Idioma: En Revista: Anal Sci Año: 2017 Tipo del documento: Article