Proteomics

Dataset Information

0

Peptidome profiling of ovarian cancer and non-cancer proximal fluids: ascites and blood sera


ABSTRACT: Ovarian cancer is the most lethal gynecological malignancy, because its early detection is difficult due to the absence of recognizable physical symptoms and a lack of sensitive screening methods. Despite a large number of proteomic studies of biological fluids from ovarian cancer patients, only a few biomarkers are used in clinical practice. Low molecular weight endogenous peptides more easily diffuse across endothelial barriers and can be more relevant biomarker candidates. In this current study, detailed peptidomic analysis of 26 ovarian cancer and 15 non-cancer samples of biological fluids (ascites and sera) were performed using TripleTOF 5600+ mass-spectrometer.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum, Ascites

DISEASE(S): Cirrhosis,Disease Free,Malignant Neoplasm Of Ovary

SUBMITTER: Georgij Arapidi  

LAB HEAD: Georgij Arapidi

PROVIDER: PXD009382 | Pride | 2018-04-05

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
N173-20130816_SWP-2_Q1_noHeat_120minGrad_7ulinj_IDA_200Th_1.wiff Wiff
N173-20130816_SWP-2_Q1_noHeat_120minGrad_7ulinj_IDA_200Th_1.wiff.scan Wiff
N173.group Other
N173_MGFPeaklist.dat Other
N173_MGFPeaklist.mgf Mgf
Items per page:
1 - 5 of 122
altmetric image

Publications

Peptidome profiling dataset of ovarian cancer and non-cancer proximal fluids: Ascites and blood sera.

Shender Victoria V   Arapidi Georgij G   Butenko Ivan I   Anikanov Nikolay N   Ivanova Olga O   Govorun Vadim V  

Data in brief 20181219


Despite a large number of proteomic studies of biological fluids from ovarian cancer patients, there is a lack of sensitive screening methods in clinical practice (Kim et al., 2016) (DOI:https://doi.org/10.1111/cas.12987[1]). Low molecular weight endogenous peptides more easily diffuse across endothelial barriers than proteins and can be more relevant biomarker candidates (Meo et al., 2016) (DOI:https://doi.org/10.18632/oncotarget.8931[2], (Bery et al., 2014) DOI:https://doi.org/10.1186/1559-027  ...[more]

Similar Datasets

2014-04-14 | E-GEOD-55065 | biostudies-arrayexpress
2024-05-29 | PXD045647 | Pride
2024-05-29 | PXD019327 | Pride
2021-11-25 | PXD028248 | Pride
2017-11-17 | PXD008047 | Pride
2023-08-31 | E-MTAB-12441 | biostudies-arrayexpress
2014-10-23 | PXD001403 | Pride
2015-01-07 | E-GEOD-56920 | biostudies-arrayexpress
2015-06-01 | E-MTAB-3166 | biostudies-arrayexpress
2016-08-15 | PXD003794 | Pride