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dc.contributor.authorChang, Hui-Yinen_US
dc.contributor.authorChen, Ching-Taien_US
dc.contributor.authorKo, Chu-Lingen_US
dc.contributor.authorChen, Yi-Juen_US
dc.contributor.authorChen, Yu-Juen_US
dc.contributor.authorHsu, Wen-Lianen_US
dc.contributor.authorJuo, Chiun-Gungen_US
dc.contributor.authorSung, Ting-Yien_US
dc.date.accessioned2018-08-21T05:53:06Z-
dc.date.available2018-08-21T05:53:06Z-
dc.date.issued2017-12-19en_US
dc.identifier.issn0003-2700en_US
dc.identifier.urihttp://dx.doi.org/10.1021/acs.analchem.7b02343en_US
dc.identifier.urihttp://hdl.handle.net/11536/144274-
dc.description.abstractTop-down proteomics using liquid chromatogram coupled with mass spectrometry has been increasingly applied for analyzing intact proteins to study genetic variation, alternative splicing, and post-translational modifications (PTMs) of the proteins (proteoforms). However, only a few tools have been developed for charge state deconvolution, monoisotopic/average molecular weight determination and quantitation of proteoforms from LC-MS1 spectra. Though Decon2LS and MASH Suite Pro have been available to provide intraspectrum charge state deconvolution and quantitation, manual processing is still required to quantify proteoforms across multiple MS1 spectra. An automated tool for interspectrum quantitation is a pressing need. Thus, in this paper, we present a user-friendly tool, called iTop-Q (intelligent Top-down Proteomics Quantitation), that automatically performs large-scale proteoform quantitation based on interspectrum abundance in top-down proteomics. Instead of utilizing single spectrum for proteoform quantitation, iTop-Q constructs extracted ion chromatograms (XICs) of possible proteoform peaks across adjacent MS' spectra to calculate abundances for accurate quantitation. Notably, iTop-Q is implemented with a newly proposed algorithm, called DYAMOND, using dynamic programming for charge state deconvolution. In addition, iTop-Qperforms proteoform alignment to support quantitation analysis across replicates/samples. The performance evaluations on an in-house standard data set and a public large-scale yeast lysate data set show that iTop-Q achieves highly accurate quantitation, more consistent quantitation than using intraspectrum quantitation. Furthermore, the DYAMOND algorithm is suitable for high charge state deconvolution and can distinguish shared peaks in coeluting proteoforms. iTop-Qis publicly available for download at http://ms.iis.sinica.edu.tw/COmics/Software_iTop-Q.en_US
dc.language.isoen_USen_US
dc.titleiTop-Q: an Intelligent Tool for Top-down Proteomics Quantitation Using DYAMOND Algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1021/acs.analchem.7b02343en_US
dc.identifier.journalANALYTICAL CHEMISTRYen_US
dc.citation.volume89en_US
dc.citation.spage13128en_US
dc.citation.epage13136en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000418626300015en_US
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