Dataset Information

TMT data from ovarian cancer cells

ABSTRACT: In this project we want to compare ovarian cell cancer treated or non treated with cis-platinum. As acquisition strategy we have used a Real Time Search MS3 method in an Orbitrap Eclipse. The acquisition cycle began with an MS1 scanwhere the most intense ions were selected for fragmentation in the ion trap using CID. MS2 spectra were searched in real time with data acquisition using the sp-human database. MS2 spectra with an Xcorr greater than or equal to 1 and less than 10 ppm precursor mas error, triggered the submission of an MS3 spectrum to the instrument. MS3 spectrum, were collected using the multinotch MS3-based TMT method, in a way were ten MS2 fragment ions were captured in the MS3 precursor population using isolation waveforms with multiple frequency notches

INSTRUMENT(S): Orbitrap Eclipse

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Cristina Chiva

LAB HEAD: Eduard Sabidó

PROVIDER: PXD041002 | Pride | 2023-05-04

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	2020LF000_CRIS_012_01_TMTCal_fraction11.raw	Raw
	2020LF000_CRIS_012_01_TMTCal_fraction9.raw	Raw
	2020LF000_CRIS_012_02_TMTCal_fraction11.raw	Raw
	2020LF000_CRIS_012_02_TMTCal_fraction9.raw	Raw
	2020LF000_CRIS_012_03_TMTCal_fraction11.raw	Raw

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Publications

Updated MS²PIP web server supports cutting-edge proteomics applications.

Declercq Arthur A Bouwmeester Robbin R Chiva Cristina C Sabidó Eduard E Hirschler Aurélie A Carapito Christine C Martens Lennart L Degroeve Sven S Gabriels Ralf R

Nucleic acids research 20230701 W1

Interest in the use of machine learning for peptide fragmentation spectrum prediction has been strongly on the rise over the past years, especially for applications in challenging proteomics identification workflows such as immunopeptidomics and the full-proteome identification of data independent acquisition spectra. Since its inception, the MS²PIP peptide spectrum predictor has been widely used for various downstream applications, mostly thanks to its accuracy, ease-of-use, and broad applicabi ...[more]

PMID: 37140039

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