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PXD024893

PXD024893 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleOnline-2D nanoLC-MS for crude serum proteome profiling: assessing sample preparation impact on proteome composition
DescriptionAlthough current LC-MS technology permits scientists to efficiently screen clinical samples in translational research, e.g. steroids, biogenic amines and even plasma or serum proteomes, in a daily routine, maintaining the balance between throughput and analytical depth is still a limiting factor. A typical approach to enhance the proteome depth is employing offline 2-dimensional (2D) fractionation techniques before nanoLC-MS/MS analysis. These additional sample preparation steps usually require extensive sample manipulation, which could result in sample alteration and sample loss. The consequent results variability increase the risk of false discovery, regardless of time-intensive sample preparation workload. Here we present and compare 1D-nanoLC-MS with an automated online-2D high-pH RP x low pH RP separation method for deep proteome profiling using a nanoLC system coupled to a high-resolution accurate-mass mass spectrometer. The proof-of-principle study permitted the identification of ca. 500 proteins with ~10,000 peptides in 15 enzymatically digested crude serum samples collected from healthy donors in 3 laboratories across Europe. The developed method identified 60% more peptides in comparison with conventional 1D nanoLC-MS/SM analysis with ca. 4 times lower throughput while retaining the quantitative information. Serum sample preparation artifacts were revealed by applying unsupervised classification techniques, and, therefore, must be taken into account while planning multicentric biomarker discovery and validation studies. Overall, this novel method reduces sample complexity and boosts the number of peptide and protein identifications without the need for extra sample handling procedures for samples equivalent to less than 1 µL of blood, which expands the space for potential biomarker discovery by looking deeper into the composition of biofluids.
HostingRepositoryPRIDE
AnnounceDate2021-07-12
AnnouncementXMLSubmission_2021-07-11_21:43:56.653.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRunsheng Zheng
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480; Q Exactive HF-X
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-03-22 00:19:22ID requested
12021-07-09 05:32:19announced
22021-07-11 21:43:57announced2021-07-12: Updated project metadata.
Publication List
10.1021/ACS.ANALCHEM.1C01291;
Zheng R, Govorukhina N, Arrey TN, Pynn C, van der Zee A, Marko-Varga G, Bischoff R, Boychenko A, Online-2D NanoLC-MS for Crude Serum Proteome Profiling: Assessing Sample Preparation Impact on Proteome Composition. Anal Chem, 93(28):9663-9668(2021) [pubmed]
Keyword List
submitter keyword: Peptide Fractionation, Blood, nanoLC-MS, 1D nanoLC-MS,Proteome Profiling, Crude Serum, High-Resolution Accurate Mass-Spectrometry, Online-2D nanoLC-MS
Contact List
Alexander Boychenko
contact affiliationThermo Fisher Scientific
contact emailoleksandr.boychenko@thermofisher.com
lab head
Runsheng Zheng
contact affiliationThermo Fisher Scientific
contact emailrunsheng.zheng@thermofisher.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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