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PXD021394

PXD021394 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDIA-MS analysis of 24 breast cancer tissues
DescriptionIn recent years genomic and proteomic technologies have been employed in a combined effort to extrapolate key clinical and biological information of complex diseases such as cancer. Most integrative studies employ DNA and/or RNA sequencing technologies coupled to mass spectrometry-derived information to achieve deep information extraction levels, resulting in massive experimental efforts. In this context the employment of data independent acquisition (DIA) methods, which generally do not rely on fractionation, has seldom been tested. In this study, we evaluated the ability of DIA and data dependent acquisition (DDA) MS in determining key biological features of a set of 21 breast cancer tissues for whose RNA-sequencing data was also collected. We evaluated how proteomic data layers matched RNA analysis-derived genomic information, their degree of consensus, and their discrepancies.
HostingRepositoryPRIDE
AnnounceDate2021-04-26
AnnouncementXMLSubmission_2021-04-25_21:27:28.002.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTommaso De Marchi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-09-10 01:38:12ID requested
12021-04-25 21:27:28announced
Publication List
De Marchi T, Pyl PT, Sj, ö, str, ö, m M, Klasson S, Sartor H, Tran L, Pekar G, Malmstr, ö, m J, Malmstr, ö, m L, Nim, é, us E, Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance. J Proteome Res, 20(5):2983-3001(2021) [pubmed]
Keyword List
submitter keyword: Human, breast cancer, DIA
Contact List
Emma Nimeus
contact affiliationDivision of Surgery, Oncology, and Pathology, Department of Clinical Sciences. Biomedical Center – Lund University, Solvegatan 19, 223 62, Lund, Sweden
contact emailemma.nimeus@med.lu.se
lab head
Tommaso De Marchi
contact affiliationLund University
contact emailtommaso.de_marchi@med.lu.se
dataset submitter
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Dataset FTP location
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