PXD025925

PXD025925 is an original dataset announced via ProteomeXchange.

Title	Comprehensive spectral library generation for identification and quantification of endometrial cancer protein biomarkers in cervico-vaginal fluid
Description	This study focuses on the potential of detecting endometrial cancer based on the proteins and peptides expressed in cervico-vaginal fluid.Sequential window acquisition of all theoretical mass spectra (SWATH-MS), an accurate and reproducible platform for analysing biological samples, offers a technological advance for biomarker discovery due to its reproducibility, sensitivity and potential for data re-interrogation. SWATH-MS requires a spectral library in order to identify and quantify peptides from multiplexed mass spectrometry data.Here, we present a spectral library of thousands of proteins in the cervico-vaginal fluid of women with or at risk of endometrial cancer. Pooled cervico-vaginal fluid samples from 19 women, comprising of 9 endometial cancer cases(both endometriod and non-endometriod), 3 atypical hyperplasias and 7 controls (symptomatic post-menopausal women with no evidence of endometrial cancer) were used for library generation. We have combined these data with a library of over 6,000 proteins generated based on mass spectrometric analysis of two endometrial cancer cell lines This important resource will enable the identification of endometrial cancer biomarkers in cervico-vaginal fluid and advances our knowledge of the role of proteomics in endometrial cancer detection.
HostingRepository	PRIDE
AnnounceDate	2021-08-13
AnnouncementXML	Submission_2021-08-13_00:53:25.362.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Kelechi Njoku
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2021-05-10 23:17:19	ID requested
⏵ 1	2021-08-13 00:53:26	announced

Njoku K, Chiasserini D, Geary B, Pierce A, Jones ER, Whetton AD, Crosbie EJ, Comprehensive Library Generation for Identification and Quantification of Endometrial Cancer Protein Biomarkers in Cervico-Vaginal Fluid. Cancers (Basel), 13(15):(2021) [pubmed]

submitter keyword: endemetrial cancer, proteomics, spectral library, cervico-vaginal fluid, biomarkers

Emma J Crosbie
contact affiliation	Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary’s Hospital, Oxford Road, Manchester M13 9WL, UK
contact email	emma.crosbie@manchester.ac.uk
lab head
Kelechi Njoku
contact affiliation	University of Manchester
contact email	kelechi.njoku@manchester.ac.uk
dataset submitter

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/2021/08/PXD025925

PRIDE project URI

• PRIDE
  1. PXD025925
     1. Label: PRIDE project
     2. Name: Comprehensive spectral library generation for identification and quantification of endometrial cancer protein biomarkers in cervico-vaginal fluid