[Identification of protein markers for serum diagnosis of cancer based on microRNA expression profiling].

A new algorithm has been developed for bioinformatics search of putative serum markers of cancer, which includes: 1) identification of microRNAs that are most often and most significantly overexpressed in tumors; 2) selection of mRNA targets regulated by microRNAs; 3) identification of mRNA targets encoding secreted proteins; 4) comparative analysis of mRNA transcription levels in normal and tumor tissues. Application of the algorithm led to discovery of seven putative serum markers of colon cancer: ADAMTS14, ANGPT2, CCL7, DEFA5, MMP11, MMP14, and PLAU. Experiments demonstrated that production of two out of seven proteins (MMP14 and DEFA5) is significantly increased in colon tumors vs.

[Comparison of 2D analysis and bioinformatics search efficiency for colon cancer marker identification].

Modification of 2D analysis protocol was developed, based on preliminary removal of major cellular proteins by extraction with buffer saline and elimination of high molecular weight proteins by gel filtration. This approach allowed identification of 12 proteins with increased expression levels in tumors versus normal tissues. Increase in expression levels of the eight proteins in colon tumors was discovered for the first time.

[Downregulation of AKR1B10 gene expression in colorectal cancer].

Colorectal cancer is one of the most common cancers in the world. In our work changes of AKR1B1 and AKR1B10 gene expression levels in colorectal tumors were studied. Their potential diagnostic value was previously shown for several other cancer types.

[Proteomic expression analysis of human colorectal cancer: of soluble overexpressed proteins].

Colon cancer is one of the leading causes of cancer deaths in developed countries due to the absence of tumor specific markers for early diagnosis of the disease, providing adequate sensitivity. Search for diagnostic markers of various types of cancer by proteomic approaches has been limited by large differences in protein centration. We used preliminary extraction of major cellular proteins by 0.

[Colorectal cancer 2D-proteomics: identification of altered protein expression].

Modern proteomic techniques make it possible to identify numerous changes in protein expression in tumor in comparison to normal tissues. Despite the wide application of proteomics in current studies, identification of proteins with stable concentration differences in normal and cancer cells remains rather difficult. The current study was directed to the search of new potential protein colorectal cancer markers using comparative proteomics of protein extracts obtained from primary tumors and adjacent normal tissues.