PXD053612
PXD053612 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Benchmarking SILAC Proteomics Workflows and Data Analysis Platforms |
Description | SILAC proteomics is a powerful metabolic labeling technique that limits experimental variation, while enabling accurate protein quantification. However, multiple isotopic versions (e.g. heavy and light) of the same proteins are generated, increasing spectral complexity and requiring sample deconvolution. Despite the widespread application of SILAC proteomics, various acquisition modes and software have not been comparatively evaluated. Here, we designed a comprehensive benchmarking workflow to systematically compare the performance of several software (e.g. FragPipe, MaxQuant, Proteome Discoverer, DIA-NN and Spectronaut) compatible with SILAC proteomics. |
HostingRepository | MassIVE |
AnnounceDate | 2024-11-02 |
AnnouncementXML | Submission_2024-11-02_06:34:29.914.xml |
DigitalObjectIdentifier | |
ReviewLevel | Non peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Ling Hao |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
ModificationList | Carbamidomethyl; Oxidation; Acetyl; Label:13C(6)15N(2); Label:13C(6)15N(4) |
Instrument | Q Exactive HF-X |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2024-07-03 12:08:33 | ID requested | |
⏵ 1 | 2024-11-02 06:34:30 | announced |
Publication List
no publication |
Keyword List
submitter keyword: benchmarking, iPSC, SILAC, Heavy amino acid, Human , Ratio |
Contact List
Ling Hao | |
---|---|
contact affiliation | George Washington University |
contact email | linghao@gwu.edu |
lab head | |
Ling Hao | |
contact affiliation | University of Maryland |
contact email | haolab.19@gmail.com |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/v08/MSV000095236/ |