2021
DOI: 10.3390/biom11081218
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Isotopically Dimethyl Labeling-Based Quantitative Proteomic Analysis of Phosphoproteomes of Soybean Cultivars

Abstract: Isotopically dimethyl labeling was applied in a quantitative post-translational modification (PTM) proteomic study of phosphoproteomic changes in the drought responses of two contrasting soybean cultivars. A total of 9457 phosphopeptides were identified subsequently, corresponding to 4571 phosphoprotein groups and 3889 leading phosphoproteins, which contained nine kinase families consisting of 279 kinases. These phosphoproteins contained a total of 8087 phosphosites, 6106 of which were newly identified and con… Show more

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Cited by 9 publications
(13 citation statements)
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References 125 publications
(195 reference statements)
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“…DEPs were submitted to the STRING database (version 11.5) (http://string.embl.de) to perform protein interaction analysis with a moderate confidence (0.4) and construct a putative protein‐protein interaction network. The network was then exported as a tsv file and visualized using Cytoscape (Version 3.9.1) to construct volvox graphic [57]. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the iProX partner repository [58, 59] with the dataset identified PXD038056.…”
Section: Methodsmentioning
confidence: 99%
“…DEPs were submitted to the STRING database (version 11.5) (http://string.embl.de) to perform protein interaction analysis with a moderate confidence (0.4) and construct a putative protein‐protein interaction network. The network was then exported as a tsv file and visualized using Cytoscape (Version 3.9.1) to construct volvox graphic [57]. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the iProX partner repository [58, 59] with the dataset identified PXD038056.…”
Section: Methodsmentioning
confidence: 99%
“…Last, we arbitrarily picked five high confident spectra from Beveridge et al 36 and put these five spectra together with other 6,636 irrelevant cross-linking spectra from soybean data set. 44 We used ECL-PF to identify them with the setting in Supplemental Table S8. ECL-PF successfully reported these five spectra.…”
Section: Validation Using Junk Datamentioning
confidence: 99%
“…We observe from different datasets that, among the valid CSMs, the number of proteins corresponding to the identified peptides is very limited because not every protein can interact with others, nor does every protein have multiple available link sites inside itself. For example, in the Arabidopsis thaliana dataset [9], on average, one protein can have 6.02 different peptide sequences. But, on average, one protein can only have 1.39 unique peptide sequences.…”
Section: Nuts and Bolts Of The Protein Feedback Pipelinementioning
confidence: 99%
“…To optimize the top p choice and proportion restriction, we use different real datasets [912] to run ECL-PF with different combinations of p and proportion. During the optimization process, we assume the higher the number of CSMs, the better the parameters.…”
Section: Nuts and Bolts Of The Protein Feedback Pipelinementioning
confidence: 99%