ArticleMolecular and cellular biochemistry2005
Proteome profiling of human epithelial ovarian cancer cell line TOV-112D.
Article in Molecular and cellular biochemistry, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 40 citations in OpenAlex.
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- Prognostic value of a novel glycolysis-related gene expression signature for gastrointestinal cancer in the Asian population.Cancer cell international · 2021Article
- RNA-binding protein KHSRP promotes tumor growth and metastasis in non-small cell lung cancer.Journal of experimental & clinical cancer research : CR · 2019Article
- The master regulator FUBP1: its emerging role in normal cell function and malignant development.Cellular and molecular life sciences : CMLS · 2019Review
- An unsupervised learning approach to find ovarian cancer genes through integration of biological data.BMC genomics · 2015Article
- A xenograft mouse model coupled with in-depth plasma proteome analysis facilitates identification of novel serum biomarkers for human ovarian cancer.Journal of proteome research · 2012Article
- Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation.Proteome science · 2011Article
- Lipocalin2 expressions correlate significantly with tumor differentiation in epithelial ovarian cancer.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2009Article
- Comparative proteomic study of two closely related ovarian endometrioid adenocarcinoma cell lines using cIEF fractionation and pathway analysis.Electrophoresis · 2009Article
- Quality assessment of tandem mass spectra using support vector machine (SVM).BMC bioinformatics · 2009Article
- Genomic and proteomic characterization of YDOV-157, a newly established human epithelial ovarian cancer cell line.Molecular and cellular biochemistry · 2008Article
- Quality assessment of peptide tandem mass spectra.BMC bioinformatics · 2008Article
- Comparative proteome analysis of human epithelial ovarian cancer.Proteome science · 2007Article
- Protein profile of human hepatocarcinoma cell line SMMC-7721: identification and functional analysis.World journal of gastroenterology · 2007Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A proteome profiling of the epithelial ovarian cancer cell line TOV-112D was initiated as a protein expression reference in the study of ovarian cancer. Two complementary proteomic approaches were used in order to maximise protein identification: two-dimensional gel electrophoresis (2DE) protein separation coupled to matrix assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) and one-dimensional gel electrophoresis (1DE) coupled to liquid-chromatography tandem mass spectrometry (LC MS/MS). One hundred and seventy-two proteins have been identified among 288 spots selected on two-dimensional gels and a total of 579 proteins were identified with the 1DE LC MS/MS approach. This proteome profiling covers a wide range of protein expression and identifies several proteins known for their oncogenic properties. Bioinformatics tools were used to mine databases in order to determine whether the identified proteins have previously been implicated in pathways associated with carcinogenesis or cell proliferation. Indeed, several of the proteins have been reported to be specific ovarian cancer markers while others are common to many tumorigenic tissues or proliferating cells. The diversity of proteins found and their association with known oncogenic pathways validate this proteomic approach. The proteome 2D map of the TOV-112D cell line will provide a valuable resource in studies on differential protein expression of human ovarian carcinomas while the 1DE LC MS/MS approach gives a picture of the actual protein profile of the TOV-112D cell line. This work represents one of the most complete ovarian protein expression analysis reports to date and the first comparative study of gene expression profiling and proteomic patterns in ovarian cancer.
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