The most important the aim of this study was to determine the diagnostic value of the expression of a panel of miRNAs in breast cancer and its expression in the expression of proteins They regulate compare. Methods miRNA expression was analyzed by RT-PCR using TaqMan arrays. We compared the expression of 667 miRNAs 19 fresh formalin and paraffin embedded fi xed n to correspond A-674563 to samples of breast cancer. For protein expression, we have developed and evaluated protocols diff erent for extraction of proteins from FFPE samples. As n Chstes we examined the applicability of this protein extracts high standard proteomic techniques and new performance. Results After properly He normalization, 123 of 671 miRNAs showed good correlation of their expression data between FF and FFPE tissue and are sufficient for robustness analysis. In addition, we analyzed the expression of different markers with diagnostic value in breast cancer. Regarding proteomics developed high-performance protocols over 6,000 MS / MS spectra generated thereby.
The identifi cation of hundreds of proteins in each sample Conclusion We have the appropriate tests to ensure the expression of miRNAs in samples of archival FFPE breast cancer study Selected Hlt. Protocols developed erm Aligned proteome analysis of FFPE samples with the latest device Th mass spectrometry. Technology implementations in the development of this project is to study to compare data of miRNA expression AZD1152-HQPA and protein both breast cancer from a perspective of systems biology authentic. Introduction of acquired resistance to endocrine therapies before there grew an obstacle hormone in clinical breast tumors. The complexity t The underlying biological mechanisms remain poorly understood, and the objective of this study was small H Abundance proteins And identify central pathways associated with resistance to tamoxifen. Methods The expression of the protein world tamoxifen sensitive MCF7S0.5 parental cell line and tamoxifen-resistant cell line, were analyzed using TamR1 SILAC labeling and quantitative mass spectrometry.
The data were analyzed using the power MaxQuant predicted total protein-protein interactions with STRING and enriched pathways identified adorns the KEGG analysis. Diff erentially U Erten some proteins By Western blot and immunocytochemistry were validated. Results of proteome identified 5370 protein adorns at least a single peptide protein, 4448 ed quantization at least two peptides act Nnte k. Forty-one proteins Found diff erentially expressed by more than three and eight proteins Were analyzed by Western blot and immunocytochemistry as potential biomarkers associated with resistance to tamoxifen validated. A total of 539 proteins Diff erentially 1.5 times or more were expressed and can be subgrouped into kinases involved transcription factors, proteins, receptor proteins Activity t The cell adhesion Sion, cell cycle proteins And stress proteins. We showed several proteins Regulated Play an r Important in the sub-networks are involved in focal adhesion, among other things, DNA replication, apoptosis, and insulin and HER2 pathway.