title: Mass spectrometry-based proteomics: basic principles and emerging technologies and directions.
abstract: As the main catalytic and structural molecules within living systems, proteins are the most likely biomolecules to be affected by radiation exposure. Proteomics, the comprehensive characterization of proteins within complex biological samples, is therefore a research approach ideally suited to assess the effects of radiation exposure on cells and tissues. For comprehensive characterization of proteomes, an analytical platform capable of quantifying protein abundance, identifying post-translation modifications and revealing members of protein complexes on a system-wide level is necessary. Mass spectrometry (MS), coupled with technologies for sample fractionation and automated data analysis, provides such a versatile and powerful platform. In this chapter we offer a view on the current state of MS-proteomics, and focus on emerging technologies within three areas: (1) New instrumental methods; (2) New computational methods for peptide identification; and (3) Label-free quantification. These emerging technologies should be valuable for researchers seeking to better understand biological effects of radiation on living systems.
authors: Department of Biomedical Informatics and Computational Biology, University of Minnesota, 321 Church St SE/6-155 Jackson Hall, Minneapolis, MN, 55455, USA. vanr0014@umn.edu
authors: Susan K
authors: SK
authors: Van Riper
authors: Ebbing P
authors: EP
authors: de Jong
authors: John V
authors: JV
authors: Carlis
authors: Timothy J
authors: TJ
authors: Griffin
mesh_terms: D057205:Automation, Laboratory; D005591:Chemical Fractionation; D002853:Chromatography, Liquid; D006031:Glycosylation / Q000528:radiation effects; D006801:Humans; D013058:Mass Spectrometry / Q000295:instrumentation / Q000379:methods / Q000639:trends*; D010455:Peptides / Q000032:analysis*; D010766:Phosphorylation / Q000528:radiation effects; D011499:Protein Processing, Post-Translational / Q000528:radiation effects*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000295:instrumentation / Q000379:methods / Q000639:trends*; D011839:Radiation, Ionizing; D012815:Signal Processing, Computer-Assisted
chemical_list: D010455:Peptides; D020543:Proteome