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PXD025905-1

PXD025905 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contamination
DescriptionProteomics has been used extensively in life mechanism studies, drug target and clinical disease diagnosis, and treatment research.Several clinical surgery tissue samples inevitably get contaminated with blood during cryopreservation. This might detrimentally affect the results obtained by the commonly used proteomics DDA data acquisition strategy.For disease research, each clinical sample is precious and sample collection usually takes months or years. Removal of unqualified samples before the experiment is necessary but regrettable. The present findings demonstrate that for clinical tissue samples, compared with DDA strategy, the data derived using DIA is more complete and more potential biomarkers can be identified. DIA strategies can effectively overcome the interference from blood contaminants, allowing greater utilization of existing frozen samples. DIA has excellent analytical capability and application prospects.
HostingRepositoryiProX
AnnounceDate2021-05-10
AnnouncementXMLSubmission_2021-05-09_21:19:06.204.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTao Su
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion Lumos; TripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-05-09 21:16:39ID requested
12021-05-09 21:19:06announced
22023-08-27 20:52:44announced2023-08-28: Update publication information.
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: proteomics, data-dependent acquisition (DDA),data-Independent acquisition (DIA),lung cancer, differentially expressed proteins
Contact List
Meng Gong
contact affiliationWest China Hospital, Sichuan University
contact emailgongmeng@scu.edu.cn
lab head
Tao Su
contact affiliationWest China Hospital, Sichuan University
contact email754436108@qq.com
dataset submitter
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iProX dataset URI