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Expression And Relevant Bioinformatics Analysis Of SYNM In Colorectal Cancer

Posted on:2021-03-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhengFull Text:PDF
GTID:2370330626459353Subject:Clinical laboratory diagnostics
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Objective:Colorectal cancer is one of the most common malignant tumors of the digestive system.The occurrence and development is a complicated process involving multiple genes and steps.To clarify the mechanism,study the role of related genes and proteins,screen and identify blomarkers of colorectal cancer are important steps in the research of tumor.SYNM(Synemin)is a cytoskeletal protein of the intermediate fiber family,which is necessary for migration and adhesion of cell.Research shows that it is closely related to growth,metastasis and prognosis of various tumors.Using liquid chromatography-mass spectrometry to filter out many differentially expressed proteins between colorectal cancer tissues and adjacent tissues,SYNM is regarded as the target proteins,by Bioinformatics,analyze and research relevant databases to investigate the expression and relevant value of SYNM in colorectal cancer.Method:1.Chromatography-mass spectrometry technology build differences in protein expression spectrum of colorectal cancer:(1)The choose of Clinical samples: select 18 cases of colorectal cancer tissues and adjacent tissues,which the pathological classification is adenocarcinoma.(2)Extract the total protein in the samples and measure the concentration,prepare them into polypeptide mixtures.(3)Using Chromatography-mass spectrometry technology to analysis cancer tissues and adjacent tissues,data analysis to determine the differentially expressed proteins.2.Verify expression situation of SYNM in colorectal cancer tissues and adjacent tissues through the technology of Western-blot.3.To explore the four related database of STRING,Oncomine,COSMIC,cBioPortal,discovery the relationship with colorectal cancer via analyzed the information of SYNM in the database.Result:1.Through Chromatography-mass spectrometry technology,the results showed that there were 26 differentially expressed proteins in colorectal cancer tissues and adjacent tissues,of which 19 proteins were up-regulated and 7 proteins were down-regulated.The target protein was one of the 7 down-regulated proteins.2.The results of Western blot showed that the expression of SYNM in colorectal cancer tissues was significantly lower than that in the corresponding peritumoral tissues,which verified the result of chromatography mass spectrum.3.By analyzing the STRING database,we obtain the interaction proteins of SYNM,and main biological function of SYNM is structural constituent of muscle,binding cytoskeletal protein and actin.Take part in the procession of muscle filament sliding,muscle contraction,cell junction assembly and cell-substrate junction assembly.Explore Oncomine database,SYNM gene expression is the lower one in colorectal cancer tissues,as well as the expression of SYNM protein.Analysis COSMIC database,we found the mutation type of SYNM gene in colorectal cancer,which the proportion of missense mutations was the highest(42.27%);the proportion of frameshift insertion was the lowest(1.03%);cBioPortal database analysis show the co-expressed genes of SYNM in colorectal cancer,according to relevance arrangement,the top ten is MYH11 ?SYNPO2?GNAO1?LMOD1?DES?JPH2?LDB3?TNS1?HSPB7?CASQ2.Conclusion:1.The experience showed that SYNM protein in colorectal cancer tissues was lower than that in adjacent tissues,which is down-regulated.2.The experience showed that SYNM gene in colorectal cancer tissues was lowerthan that in adjacent tissues.3.Missense mutation is the most common mutation type for SYNM gene,may be related to the pathogenesis of colorectal cancer.4.There is a strong correlation between SYNM gene and MYH11 gene,SYNM gene may participate in the process that occurrence and development of colorectal cancer with MYH11 gene,which is worthy of further research.
Keywords/Search Tags:Colorectal Cancer, liquid chromatography Mass Spectrometry, SYNM, Western Blot, Bioinformatics
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