BRAFV600E mutation accounts for up to 90% of all BRAF mutations in human colorectal cancer (CRC), and constitutively activates MEK-MAPK pathway. It is recognized that the monoclonal antibody to epidermal growth factor receptor alone is not effective for CRC with BRAFV600E mutation. Therefore, there is increasing interest in the identification of possible therapeutic targets in the downstream of BRAF mutations in CRC. To address this, we studied the genome engineered mouse models for colon neoplasia which has a mutation BrafV600E on the basis of APC inactivation, induced in two different mouse models of Cre, CDX2P-G22Cre and CDX2P-CreERT2 mice.
We conducted an analysis of oligonucleotide microarray for colonic neoplasia generated in this mouse model, and compared gene expression profiles between Kras / Braf wild type, mutated Kras, and Braf-mutated mouse tumors intestine to look for new molecular targets in accordance with the KRAS-BRAF- MAPK axis. We found that the expression of growth regulation by estrogen in breast cancer protein 1 (Greb1) is the most upregulated genes in mice Braf-mutated tumors compared to Kras / Braf wild-type counterparts. GREB1 silencing significantly reduce the proliferation and tumorigenesis of CRC cell lines, whereas overexpression of GREB1 promoted cell proliferation.
Although GREB1 first identified as a hormone-responsive genes mediate estrogen-stimulated cell proliferation in endometriosis, breast and ovarian cancer, these results suggest that the RAS-RAF-MAPK signaling regulates the expression in CRC result GREB1 cell proliferation. Thus, GREB1 a possible therapeutic target for CRC with BrafV600E mutation. We established a quantitative method for immunohistochemical detection by standard reference light-emitting diode, microarray bioluminescent protein and antibody-fused protein.
In this procedure, we calibrated the bioluminescence imaging system and a calibration curve was prepared between antigen and antibody-fused bioluminescent proteins using protein microarrays. Then we convert light signals to calculate antigen detected through absolute photon number in the bioluminescent image; No difference tripled so that the number of antigen targets between normal and cancerous tissue.
Spectroscopic Investigation and proteomic changes underlying prostate carcinogenesis
Prostate cancer (PCa) treatment remains challenging, especially in advanced stages, where a lack of sensitivity and specificity of biomarkers that are available make it difficult to establish an accurate prognosis. Therefore, it is very important to learn PCa biology to identify key molecules that can improve the management of PCa.
In this study, eight tissue prostate tumor and normal tissue paired analyzed using two approaches-Fourier-transform infrared (FT-IR) spectroscopy to profiling spectroscopy of biomolecules and microarray antibodies to signaling proteins-with the main objective to identify metabolic and proteomic changes that allow the difference between normal and tumor conditions. principal component analysis of FT-IR spectroscopy spectrum reveals a different signal for each condition.
The most relevant changes in prostate tumor tissue were identified by FT-IR is dysregulation of lipid metabolism, and lower polysaccharide glycogen content, nucleic acid content is higher, and an increase in protein phosphorylation. Using the antibody microarray, 42 proteins were identified as differentially regulated between the two conditions; 14 of them reveal their phosphorylation status changes.
Description: Our tissue products are produced by strictly following the IRB ethical standards and procedures and from highest quality tissues. Immediately after collection the tissues are placed in liquid nitrogen and examined by certified pathologists. The thickness of each individual section is ~5um. They are Hematoxylin and Eosin stained and quality tested by immunostaining with anti-beta-actin antibodies. Our tissue products are suitable for various studies on cellular level (RNA localization, Protein expression, etc.) on both normal and pathological cases. It is also an excellent control and educational tool.
Stomach carcinoma with matched stomach tissue microarray
Description: Stomach carcinoma with matched stomach tissue microarray, containing 94 cases of adenocarcinoma, 1 each of signet ring cell carcinoma and squamous cell carcinoma, duplicated cores per case
EZ-TMA Manual Tissue Microarray Kit 3 - 3 mm x 24 Core
Description: Multiple organ digestive system diseased tissue array with normal tissue as control, including TNM, clinical stage and pathology grade, 40 cases/40 cores
Brain primary tumor high density (69 cases/208 cores) tissue microarray of astrocytoma
Description: Brain primary tumor high density (69 cases/208 cores) tissue microarray of astrocytoma, glioblastoma, glioblastoma multiforme (GBM) and normal tissue
Description: Digestive system (esophagus, stomach, colon, rectum, liver, pancreas) cancer with matched adjacent normal tissue array, including TNM, pathology grade and clinical stage, 72 cases/144 cores, replaced by GI1441a
Description: Digestive system (esophagus, stomach, colon, rectum, liver, pancreas) cancer with matched adjacent normal tissue array, including TNM, pathology grade and clinical stage, 35 cases/70 cores, replacing GI701
Tissue, Array, Human Disease (Adult), Digestive System Tumor, Appendix, Colon, Esophagus, Gall Bladder, Liver, Pancreas, Small Intestine, Stomach (Paraffin)
Tissue, Array, Human Disease (Adult), Digestive System Tumor, Appendix, Colon, Esophagus, Gall Bladder, Liver, Pancreas, Small Intestine, Stomach (Paraffin)
Description: Human synovial tissue embedded in OCT is isolated from a single donor. This tissue has been isolated and quickly frozen in OCT blocks using isopentane. Synovial tissue can enable your knowledge of disease mechanisms and allows you to correlate clinical symptoms with pathology. Most importantly these observations may lead to the discovery of new therapeutic targets in arthritis disease. This tissue has been isolated from a normal donor.Development period: Postnatal
These proteins include transcription factors and kinases and is highly-interaction networks are interconnected. Overall, our data suggest metabolic and proteomic changes that may be of interest in future translational studies aimed at establishing PCa prognosis and treatment