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PXD006990

PXD006990 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleComparative and Network-based Proteomic Analysis of Ethanol-treated and Lipopolysaccharide-induced Macrophages
DescriptionMacrophages are specialized phagocytes that play an essential role in inflammation, immunity, and tissue repair. Profiling the global proteomic response of macrophages to microbial molecules such as bacterial lipopolysaccharide is key to understanding fundamental mechanisms of inflammatory disease. Ethanol is a widely abused substance that has complex effects on inflammation. Reports have indicated that ethanol can activate or inhibit the lipopolysaccharide receptor, Toll-like Receptor 4, in different settings, with important consequences for liver and neurologic inflammation, but the underlying mechanisms are poorly understood. To profile the ethanol and lipopolysaccharide responsive proteins on the macrophages, a gel-free proteomic technique was applied to RAW 264.7 macrophages. Five hundred four differentially expressed proteins were identified and quantified with high confidence using ≥ 5 peptide spectral matches. Among these, 319 proteins were shared across all treatment conditions, and 69 proteins were exclusively identified in ethanol-treated or lipopolysaccharide-stimulated cells. The interactive impact of ethanol and lipopolysaccharide on the macrophage proteome was evaluated using bioinformatics tools, enabling identification of differentially responsive proteins, protein interaction networks, disease- and function-based networks, canonical pathways, and upstream regulators. Pathway analysis revealed that differential proteins are involved in cell-cell signaling, cell death and survival, and injury, and, notably, are enriched for regulators of liver disease. Taken together, this study describes for the first time at a systems level the interaction between ethanol and lipopolysaccharide in the proteomic programming of macrophages, and offers new mechanistic insights into the biology that may underlie the impact of ethanol on infectious and inflammatory disease in humans.
HostingRepositoryPRIDE
AnnounceDate2018-03-05
AnnouncementXMLSubmission_2018-03-05_01:11:59.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAbu Hena Kamal
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumentLTQ
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-07-12 01:04:14ID requested
12018-03-05 01:12:01announced
Publication List
Kamal AHM, Fessler MB, Chowdhury SM, Comparative and network-based proteomic analysis of low dose ethanol- and lipopolysaccharide-induced macrophages. PLoS One, 13(2):e0193104(2018) [pubmed]
Keyword List
curator keyword: Biological
submitter keyword: Ethanol, gel-free quantitative proteomics, ingenuity pathway analysis, lipopolysaccharide, RAW 264.7 macrophages
Contact List
Dr. Saiful M. Chowdhury
contact affiliationAssistant Professor Chemistry and Biochemistry University of Texas at Arlington Box 19065 700 Planetarium Place, Room 130 Arlington, TX 76019 United States
contact emailschowd@uta.edu
lab head
Abu Hena Kamal
contact affiliationUniversity of Texas at Arlington
contact emailabuhena.kamal@uta.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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