PXD007683 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteome-wide evaluation of two common protein quantification methods |
Description | Proteomics experiments commonly aim to estimate and detect differential abundance across all expressed proteins. Within this experimental design, some of the most challenging measurements are small fold changes for lower abundance proteins. While bottom-up proteomics methods are approaching comprehensive coverage of even complex eukaryotic proteomes, failing to reliably quantify lower abundance proteins can limit the precision and reach of experiments to much less than the identified -let alone total- proteome. Here we test the ability of two common methods, a tandem mass tagging (TMT) method and a label- free quantitation method (LFQ), to achieve comprehensive quantitative coverage by benchmarking their capacity to measure 3 different levels of change (3-, 2-, and 1.5-fold) across an entire dataset. Both methods achieved comparably accurate estimates for all three fold-changes. However, the TMT method detected changes that reached statistical significance three times more often due to higher precision and fewer missing values. These findings highlight the importance of refining proteome quantitation methods to bring the number of usefully quantified proteins into closer agreement with the number of total quantified proteins. |
HostingRepository | PRIDE |
AnnounceDate | 2018-04-05 |
AnnouncementXML | Submission_2018-04-05_03:08:01.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Joao Paulo |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932; |
ModificationList | iodoacetamide derivatized residue |
Instrument | Orbitrap Fusion Lumos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-09-07 02:07:36 | ID requested | |
⏵ 1 | 2018-04-05 03:08:02 | announced | |
2 | 2019-03-07 05:46:12 | announced | Updated publication reference for PubMed record(s): 29635916. |
3 | 2024-10-22 04:40:39 | announced | 2024-10-22: Updated project metadata. |
Publication List
Dataset with its publication pending |
Keyword List
curator keyword: Technical |
submitter keyword: LFQ, TMT, MaxQuant |
Contact List
Steven P. Gygi |
contact affiliation | Cell Biology, Harvard Medical School, Boston, MA, USA |
contact email | sgygi@hms.harvard.edu |
lab head | |
Joao Paulo |
contact affiliation | Harvard Medical School |
contact email | joao_paulo@post.harvard.edu |
dataset submitter | |
Full Dataset Link List
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://ftp.pride.ebi.ac.uk/pride/data/archive/2018/04/PXD007683 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD007683
- Label: PRIDE project
- Name: Proteome-wide evaluation of two common protein quantification methods