PXD027970 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | multiFLEX-LF: A Computational Approach to Quantify the Modification Stoichiometries in Label-free Proteomics Datasets |
Description | In high-throughput LC-MS/MS-based proteomics, information about the presence and stoichiometry of post-translational modifications is normally not readily available. To overcome this problem we developed multiFLEX-LF, a computational tool that builds upon FLEXIQuant and FLEXIQuant-LF, which detect modified peptides and quantify their modification extent by monitoring the differences between observed and expected intensities of the unmodified peptides. To this end, multiFLEX-LF relies on robust linear regression to calculate the modification extent of a given peptide relative to a within-study reference. multiFLEX-LF can analyze entire label-free discovery proteomics datasets. Furthermore, to analyze modification dynamics and co-regulated modifications, the peptides of all proteins are hierarchically clustered based on their computed relative modification scores. To demonstrate the versatility of multiFLEX-LF we applied it on a cell-cycle time series dataset acquired using data-independent acquisition. The clustering of the peptides highlighted several groups of peptides with different modification dynamics across the four analyzed time points providing evidence of the kinases involved in the cell-cycle. Overall, multiFLEX-LF enables fast identification of potentially differentially modified peptides and quantification of their differential modification extent in large datasets. Additionally, multiFLEX-LF can drive large-scale investigation of modification dynamics of peptides in time series and case-control studies. multiFLEX-LF is available at https://gitlab.com/SteenOmicsLab/multiflex-lf. |
HostingRepository | PRIDE |
AnnounceDate | 2022-02-11 |
AnnouncementXML | Submission_2022-02-11_06:36:10.522.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Christoph Schlaffner |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue; monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-08-17 04:05:44 | ID requested | |
1 | 2022-02-11 06:33:02 | announced | |
⏵ 2 | 2022-02-11 06:36:11 | announced | 2022-02-11: Updated publication reference for PubMed record(s): 35086334. |
Publication List
Hiort P, Schlaffner CN, Steen JA, Renard BY, Steen H, multiFLEX-LF: A Computational Approach to Quantify the Modification Stoichiometries in Label-Free Proteomics Data Sets. J Proteome Res, 21(4):899-909(2022) [pubmed] |
Keyword List
submitter keyword: LC-MSMS, DIA, cell cycle, PTM stochiometry, post-translational modifications, quantification |
Contact List
Hanno Steen |
contact affiliation | Department of Pathology, Boston Children's Hospital, USA Department of Pathology, Harvard Medical School, USA |
contact email | hanno.steen@childrens.harvard.edu |
lab head | |
Christoph Schlaffner |
contact affiliation | Boston Children's Hospital; Harvard Medical School |
contact email | christoph.schlaffner@childrens.harvard.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD027970
- Label: PRIDE project
- Name: multiFLEX-LF: A Computational Approach to Quantify the Modification Stoichiometries in Label-free Proteomics Datasets