Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics

dc.contributor.authorGeis-Asteggiante, Lucía
dc.contributor.authorOstrand-Rosenberg, Suzanne
dc.contributor.authorFenselau, Catherine
dc.contributor.authorEdwards, Nathan J.
dc.date.accessioned2019-03-04T16:44:42Z
dc.date.available2019-03-04T16:44:42Z
dc.date.issued2018-10-09
dc.description.abstractSpectral counting is a straightforward label-free quantitation strategy used in bottom-up proteomics workflows. The application of spectral counting in label-free top-down proteomics workflows can be similarly straightforward but has not been applied as widely as quantitation by chromatographic peak areas or peak intensities. In this study, we evaluate spectral counting for quantitative comparisons in label-free top down proteomics workflows by comparison with chromatographic peak areas and intensities. We tested these quantitation approaches by spiking standard proteins into a complex protein background and comparing relative quantitation by spectral counts with normalized chromatographic peak areas and peak intensities from deconvoluted extracted ion chromatograms of the spiked proteins. Ratio estimates and statistical significance of differential abundance from each quantitation technique are evaluated against the expected ratios and each other. In this experiment, spectral counting was able to detect differential abundance of spiked proteins for expected ratios ≥2, with comparable or higher sensitivity than normalized areas and intensities. We also found that while ratio estimates using peak areas and intensities are usually more accurate, the spectral-counting-based estimates are not substantially worse. Following the evaluation and comparison of these label-free top down quantitation strategies using spiked proteins, spectral counting, along with normalized chromatographic peak areas and intensities, were used to analyze the complex protein cargo of exosomes shed by myeloid-derived suppressor cells collected under high and low conditions of inflammation, revealing statistically significant differences in abundance for several proteoforms, including the active pro-inflammatory proteins S100A8 and S100A9.en_US
dc.description.sponsorshipThis project was funded by the National Institutes of Health grants GM021248 and OD019938. We thank Virginia Clements for animal husbandry.en_US
dc.description.urihttps://pubs.acs.org/doi/10.1021/acs.analchem.6b02151en_US
dc.format.extent17 pagesen_US
dc.genrejournal articles postprintsen_US
dc.identifierdoi:10.13016/m2ulux-csqb
dc.identifier.citationLucía Geis-Asteggiante, Suzanne Ostrand-Rosenberg, Catherine Fenselau, and Nathan J. Edwards, Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics, Anal. Chem., 2016, 88 (22), pp 10900–10907 DOI: 10.1021/acs.analchem.6b02151en_US
dc.identifier.urihttps://dx.doi.org/10.1021%2Facs.analchem.6b02151
dc.identifier.urihttp://hdl.handle.net/11603/12910
dc.language.isoen_USen_US
dc.publisherAmerican Chemical Societyen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Biological Sciences Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsThis document is the Accepted Manuscript version of a Published Work that appeared in final form in Analytical Chemistry, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acs.analchem.6b02151
dc.subjectproteomics workflowsen_US
dc.subjectchromatographic peak areasen_US
dc.subjectcargo of exosomesen_US
dc.subjectmyeloid-derived suppressor cellsen_US
dc.titleEvaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomicsen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
nihms-985676.pdf
Size:
624.02 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: