Proteomics

Dataset Information

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Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues


ABSTRACT: Samples were analyzed using a Maxis II QTOF instrument (Bruker Daltonik GmbH, Bremen, Germany) equipped with CaptiveSpray nanoBooster ion source coupled to a Dionex UltiMate 3000 RSLCnano system (Sunnyvale, CA, USA). Peptides were separated on an Acquity M-Class BEH130 C18 analytical column using gradient elution (isocratic hold at 4% for 11 min, then elevating B solvent content to 25% in 75 min, and to 40% in 15 min) following trapping on an Acclaim PepMap100C18 trap column. Solvent A consisted of water + 0.1% formic acid, Solvent B was acetonitrile + 0.1% formic acid, and the sample loading buffer was 0.1% TFA and 0.01% HFBA in water. The MS/MS measurements were carried out in DDA mode. The cycle time was set at 2.5 sec, with a dynamic MS/MS exclusion of the same precursor ion for 2 minutes, or if the intensity is at least 3 times larger. Preferred charge states were set between +2 and +5. MS spectra were acquired at 3 Hz in the 150-2200 m/z range, while MS/MS spectra at 4 or 16 Hz depending on the intensity of the precursor. For single stage MS measurements spectra were recorded over the mass range of 300-3000 m/z at 1 Hz.

INSTRUMENT(S): maXis II

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Lilla Turiak  

PROVIDER: MSV000087329 | MassIVE | Wed Apr 28 11:38:00 BST 2021

REPOSITORIES: MassIVE

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Publications

Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues.

Sugár Simon S   Tóth Gábor G   Bugyi Fanni F   Vékey Károly K   Karászi Katalin K   Drahos László L   Turiák Lilla L  

Scientific reports 20210805 1


Identifying molecular alterations occurring during cancer progression is essential for a deeper understanding of the underlying biological processes. Here we have analyzed cancerous and healthy prostate biopsies using nanoLC-MS(MS) to detect proteins with altered expression and N-glycosylation. We have identified 75 proteins with significantly changing expression during disease progression. The biological processes involved were assigned based on protein-protein interaction networks. These inclu  ...[more]

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