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PXD018094

PXD018094 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics Characterization of COVID-19 lung tissues
DescriptionThe COVID-19 pandemic has emerged as a global health emergency due to its association with severe pneumonia and relative high mortality. However, the molecular characteristics and pathological features underlying COVID-19 pneumonia remain largely unknown. To characterize molecular mechanisms underlying COVID-19 pathogenesis in the lung tissue using a proteomic approach, fresh lung tissues were obtained from newly deceased patients with COVID-19 pneumonia. After virus inactivation, a quantitative proteomic approach combined with bioinformatics analysis was used to detect proteomic changes in the SARS-CoV-2 infected lung tissues. We identified significant differentially expressed proteins involved in a variety of fundamental biological processes including cellular metabolism, blood coagulation, immune response, angiogenesis, and cell microenvironment regulation. Several inflammatory factors were up-regulated, which was possibly caused by the activation of NF-κB signaling. Extensive dysregulation of the lung proteome in response to SARS-CoV-2 infection was discovered. Our results systematically outlined the molecular pathological features in terms of the lung response to SARS-CoV-2 infection, and provided the scientific basis for the therapeutic target that is urgently needed to control the COVID-19 pandemic.
HostingRepositoryiProX
AnnounceDate2020-03-19
AnnouncementXMLSubmission_2020-10-30_20:06:58.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLing Leng
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue; monohydroxylated residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-03-18 10:14:39ID requested
12020-10-30 20:06:59announced
Publication List
Leng L, Cao R, Ma J, Mou D, Zhu Y, Li W, Lv L, Gao D, Zhang S, Gong F, Zhao L, Qiu B, Xiang H, Hu Z, Feng Y, Dai Y, Zhao J, Wu Z, Li H, Zhong W, Pathological features of COVID-19-associated lung injury: a preliminary proteomics report based on clinical samples. Signal Transduct Target Ther, 5(1):240(2020) [pubmed]
Keyword List
submitter keyword: proteomics, COVID-19
Contact List
Wu Zhong
contact affiliationNational Engineering Research Center for the Emergency Drug, Beijing Institute of Pharmacology and Toxicology.
contact emailzhongwu@bmi.ac.cn
lab head
Ling Leng
contact affiliationDepartment of Medical Science Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences
contact emailzhenlinger@126.com
dataset submitter
Full Dataset Link List
iProX dataset URI