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PXD024547

PXD024547 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative proteomics of hamster lung tissues infected with SARS-CoV-2 reveal host-factors having implication in the disease pathogenesis and severity
DescriptionCOVID-19 or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared first in Wuhan, Hubei, China, has emerged as a global health concern claiming millions of lives worldwide. Syrian golden hamster (Mesocricetus auratus) has emerged as a suitable model as when infected by SARS-CoV-2, manifests lung pathology resembling human COVID-19 patients. In this study, we employed a quantitative approach to study the proteomic changes in the SARS-CoV-2-infected lung tissue. The samples were analyzed using Orbitrap Fusion Tribrid mass spectrometer in triplicates and the data acquired was searched against Mesocricetus auratus protein database which resulted in the identification of nearly 2,000 non-redundant proteins. The outcome of this study will facilitate in discovery of potential candidate biomarkers for predicting disease course and warrants their further validation in human patient samples.
HostingRepositoryPRIDE
AnnounceDate2021-11-03
AnnouncementXMLSubmission_2021-11-03_06:20:49.932.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterShantibhusan Senapati
SpeciesList scientific name: Mesocricetus auratus (Golden hamster); NCBI TaxID: 10036;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-03-05 03:38:01ID requested
12021-11-03 06:20:50announced
Publication List
Suresh V, Mohanty V, Avula K, Ghosh A, Singh B, Reddy RK, Parida D, Suryawanshi AR, Raghav SK, Chattopadhyay S, Prasad P, Swain RK, Dash R, Parida A, Syed GH, Senapati S, Quantitative proteomics of hamster lung tissues infected with SARS-CoV-2 reveal host factors having implication in the disease pathogenesis and severity. FASEB J, 35(7):e21713(2021) [pubmed]
Keyword List
ProteomeXchange project tag: Covid-19
submitter keyword: SARS-CoV-2, Quantitative proteomics, TMT, Orbitrap, inflammation, surfactant proteins
Contact List
Dr. Shantibhusan Senapati
contact affiliationScientist-E Institute of Life Sciences Tumor Microenvironment and Animal Models Lab Nalco Square, Bhubaneswar-751023, India
contact emaildrsantibhusan@yahoo.com
lab head
Shantibhusan Senapati
contact affiliationInstitute of Life Sciences
contact emaildrsantibhusan@yahoo.com
dataset submitter
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Dataset FTP location
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