2018
DOI: 10.1093/nar/gky869
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iProX: an integrated proteome resource

Abstract: Sharing of research data in public repositories has become best practice in academia. With the accumulation of massive data, network bandwidth and storage requirements are rapidly increasing. The ProteomeXchange (PX) consortium implements a mode of centralized metadata and distributed raw data management, which promotes effective data sharing. To facilitate open access of proteome data worldwide, we have developed the integrated proteome resource iProX (http://www.iprox.org) as a public platform for collecting… Show more

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Cited by 1,171 publications
(779 citation statements)
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“…The identities of eluted proteins were revealed by liquid chromatography with tandem mass spectrometry (LC‐MS/MS) analysis by Shanghai Applied Protein Technology (Shanghai, China). Two independent biological replicates were performed, of which the mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD013152. Protein candidates are also listed in .…”
Section: Methodsmentioning
confidence: 99%
“…The identities of eluted proteins were revealed by liquid chromatography with tandem mass spectrometry (LC‐MS/MS) analysis by Shanghai Applied Protein Technology (Shanghai, China). Two independent biological replicates were performed, of which the mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD013152. Protein candidates are also listed in .…”
Section: Methodsmentioning
confidence: 99%
“…Ingenuity Pathway Analysis (IPA, Ingenuity Systems, Redwood City, CA, USA) and Cytoscape (version 3.5.1) were used to analyze the differentially expressed proteins (DEPs) as described previously . The MS data have been stored to the ProteomeXchange Consortium via the iProX partner repository …”
Section: Methodsmentioning
confidence: 99%
“…For the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, the differentially expressed proteins were mapped to metabolic pathways in KEGG using the KOBAS software (Mao et al, 2005). The mass spectrometry proteomics data have been deposited to ProteomeXchange Consortium (http:// proteomecentral.proteomexchange.org) via the iProX partner repository (Ma et al, 2018) with the dataset identifier PXD011479.…”
Section: Protein Identification and Differential Expression Analysismentioning
confidence: 99%