PXD052432

PXD052432 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Data-independent acquisition (DIA) based quantitative proteomic analysis of oral cancer tissue samples
Description	Oral cancer ranks as the 7th most common cancer worldwide with an increasing incidence and mortality rate. Currently, immunotherapy has emerged as a promising approach for cancer treatment including in head and neck cancer, characterised by prolonged survival rate. We conducted a data-independent acquisition (DIA) based quantitative proteomics analysis to identify the differentially expressed proteins in oral cancer patients. The LC-MS/MS analysis resulted in the identification of 29459 precursors corresponding to 3429 proteins. Among these 1197 proteins showed significant differential expression between control and oral cancer tissue samples. Additionally, our downstream bioinformatics analysis identified 185 proteins with a potential role in immune regulation.
HostingRepository	PRIDE
AnnounceDate	2025-06-11
AnnouncementXML	Submission_2025-06-10_21:28:13.348.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Keshava Prasad T. S.
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2024-05-21 01:07:56	ID requested
⏵ 1	2025-06-10 21:28:14	announced

Publication List

Palollathil A, Babu S, Abhinand CS, Mathew RT, Vijayakumar M, Prasad TSK, Proteomic profiling of oral squamous cell carcinoma tissues reveals altered immune-related proteins: implications for personalized therapy. Expert Rev Proteomics, 21(11):483-495(2024) [pubmed]
10.1080/14789450.2024.2428332;

Palollathil A, Babu S, Abhinand CS, Mathew RT, Vijayakumar M, Prasad TSK, Proteomic profiling of oral squamous cell carcinoma tissues reveals altered immune-related proteins: implications for personalized therapy. Expert Rev Proteomics, 21(11):483-495(2024) [pubmed]

10.1080/14789450.2024.2428332;

Keyword List

submitter keyword: LC-MS/MS, proteomics, DIA-NN, oral cancer, DIA, mass spectrometry

submitter keyword: LC-MS/MS, proteomics, DIA-NN, oral cancer, DIA, mass spectrometry

Contact List

T. S. Keshava Prasad
contact affiliation	Professor and Deputy Director, Center for Systems Biology and Molecular Medicine Yenepoya Research Centre, Yenepoya (Deemed to be University) Mangalore, India
contact email	tskprasad@gmail.com
lab head
Keshava Prasad T. S.
contact affiliation	Professor and Deputy Director, Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
contact email	keshav@ibioinformatics.org
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/2025/06/PXD052432
PRIDE project 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://ftp.pride.ebi.ac.uk/pride/data/archive/2025/06/PXD052432

PRIDE project URI

Repository Record List

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