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dc.contributor.author DeHart, Caroline J en
dc.contributor.author Fellers, Ryan T en
dc.contributor.author Fornelli, Luca en
dc.contributor.author Kelleher, Neil L en
dc.contributor.author Thomas, Paul M en
dc.date.accessioned 2016-04-27T17:12:02Z en
dc.date.available 2016-04-27T17:12:02Z en
dc.identifier.citation Forthcoming en
dc.identifier.uri https://hdl.handle.net/2022/20816
dc.description Accompanying dataset to the protocol published in Methods in Molecular Biology. Click on the PURL link below in the "External Files" section to download the dataset. en
dc.description.abstract Traditional bottom-up mass spectrometry-based proteomics relies on the use of an enzyme, often trypsin, to generate small peptides (typically < 25 amino acids long). In top-down proteomics, proteins remain intact and are directly measured within the mass spectrometer. This technique, while inherently simpler than bottom-up proteomics, generates data which must be processed and analyzed using software tools “purpose-built” for the job. In this chapter, we will show the analysis of proteins from deconvolution and deisotoping through analysis with ProSight Lite, a free, vendor agnostic tool for the analysis of top-down mass spectrometry data. We will illustrate with two examples of intact protein spectra and discuss the iterative use of the software to characterize proteoforms and to discover the sites of post-translational modifications. en
dc.description.sponsorship NIH/NIGMS P41GM108569 en
dc.language.iso en_US en
dc.publisher Methods in Molecular Biology, Springer en
dc.relation.ispartofseries Forthcoming en
dc.relation.uri http://purl.dlib.indiana.edu/iusw/data/2022/20816/TopDownData.zip en
dc.rights Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/) en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Top-down, Mass spectrometry, Proteomics, ProSight Lite, Intact protein, Bioinformatics en
dc.title Bioinformatics Analysis of Top-Down Mass Spectrometry Data en
dc.type Dataset en
dc.identifier.doi https://doi.org/10.5967/K81Z4299
dc.altmetrics.display false en


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