RESUMEN
Aldolase C as a glycolytic enzyme is associated with cellular structure at developmental stages of all cells, and this is particularly evident during the early stages of morphogenesis. It seems that expression of aldolase C can be regulated by the rate of differentiation that depends on the level of transcription or mRNA stability. There are several techniques to detect gene expression here proteomics was used for determining expression of aldolase C [as a differentiation factor] in several cell types and basal cell carcinoma [BCC] tissue. The human astrocytes were differentiated from mesenchymal stem cells, fibroblast cells were cultured as primary cell culture and BCC tissue was taken from the patient. The fibroblast cells divided into two groups including sham and exposed groups. The exposed cells are them that were exposed to continue Extremely Low-Frequency Electromagnetic Fields [ELF-EMF]. The analysis of 2DE gels, showed different expression of aldolase C in mentioned cells. The findings indicate that the amount of aldolase C expression decreases as differentiation process develops
RESUMEN
Since esophagus cancer is among the most fatal cancers all over the world and our country has the most frequent number of patients, identification of squamous cell carcinoma associated proteins would be essential. Finding molecular markers for recognition of the disease could be beneficial for efficient and early treatment of the disease. As protein expression in cancerous cells is different from normal ones, identification of protein expression pattern could be helpful for recognition of the disease. Proteomics is a novel method for recognition of protein collection in a specific tissue. In this method 2D gel electrophoresis is performed to separate all proteins, and then spot analysis will be done through mass spectrometry and bioinformatics software would help in the recognition of proteins. In comparison to normal tissue in cancerous cells, we would have up-regulation, down-regulation, appearance or disappearance of a specific protein. So, protein extraction was performed from healthy and cancerous mucosal tissue of esophagus and all peptides were separated through 2D gel electrophoresis. After spot analysis, proteins with different expression were identified with mass spectrometry and bioinformatics. In comparison to normal tissue, 14 proteins were found to over expressed or have no expression in tumors. The main objective of this study is that proteomics is an ideal method to find the molecular basis of squamous cell carcinoma in esophageal cancer