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Quantitative phosphoproteomics for nocodazole treated cells measured by Lumos DIA

ABSTRACT: Phosphoproteomic DIA-MS quantitative dataset for nocodazole treated cells (or “PhosDIA” in short). The MS samples injected in a previous publication for developing the IPF, an algorithm for identifying post-translationally modified peptides, were herein re-measured by a new, powerful Orbitrap Lumos DIA platform for this study (as a case study for developing NAguideR).

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Yansheng Liu

LAB HEAD: Yansheng Liu

PROVIDER: PXD017476 | Pride | 2020-06-08

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20190713_172407_20190713_NBT_NocoCyc_DDADIAs_PhosLib.kit	Other
	20190713_213137_DIAresults_byDDADIAphosLib_20190713.sne	Other
	20190713_214324_DIAresults_byDDADIAphosLib_20190713_Report.xls	Xls
	20190713_NBT_NocoCyc_DDADIAs_PhosLib.xls	Xls
	Filenameandannotations.txt	Txt

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1 - 5 of 46

Publications

NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses.

Wang Shisheng S Li Wenxue W Hu Liqiang L Cheng Jingqiu J Yang Hao H Liu Yansheng Y

Nucleic acids research 20200801 14

Mass spectrometry (MS)-based quantitative proteomics experiments frequently generate data with missing values, which may profoundly affect downstream analyses. A wide variety of imputation methods have been established to deal with the missing-value issue. To date, however, there is a scarcity of efficient, systematic, and easy-to-handle tools that are tailored for proteomics community. Herein, we developed a user-friendly and powerful stand-alone software, NAguideR, to enable implementation and ...[more]

PMID: 32526036

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