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Informed-Proteomics: Open Source Software Package for Top-down Proteomics

Top-down proteomics is the analysis of intact proteins in their endogenous form without proteolysis, preserving valuable information about post-translation modifications, isoforms and proteolytic processing. The quality of top-down LC-MS/MS datasets is rapidly increasing due to advances in instrumen...

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Detalles Bibliográficos
Autores principales: Park, Jungkap, Piehowski, Paul D., Wilkins, Christopher, Zhou, Mowei, Mendoza, Joshua, Fujimoto, Grant M, Gibbons, Bryson C., Shaw, Jared B., Shen, Yufeng, Shukla, Anil K., Moore, Ronald J., Liu, Tao, Petyuk, Vladislav A, Tolic, Nikola, Pasa-Tolic, Ljiljana, Smith, Richard D., Payne, Samuel H., Kim, Sangtae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578875/
https://www.ncbi.nlm.nih.gov/pubmed/28783154
http://dx.doi.org/10.1038/nmeth.4388
Descripción
Sumario:Top-down proteomics is the analysis of intact proteins in their endogenous form without proteolysis, preserving valuable information about post-translation modifications, isoforms and proteolytic processing. The quality of top-down LC-MS/MS datasets is rapidly increasing due to advances in instrumentation and sample processing protocols. However, the top-down mass spectra are substantially more complex compared to conventional bottom-up data. To take full advantage of the increasing data quality, there is an urgent need to develop algorithms and software tools for confident proteoform identification and quantification. In this study, we present a new open source software suite for top-down proteomics analysis consisting of an LC-MS feature finding algorithm, a database search algorithm, and an interactive results viewer. The presented tool along with several other popular tools were evaluated using human-in-mouse xenograft luminal and basal breast tumor samples that are known to have significant differences in protein abundance based on bottom-up analysis.