Study On The Abnormal Expression MicroRNA Network Of Three Kinds Of Genetic Cancer

With the progress of biotechnology and gene technology,scientists find a lot of microRNA related data through experiments.By analyzing the characteristics,structures and functions of microRNA through various methods,it is one of the most important applications of bioinformatics.Generally speaking,miRNA is transcribed from primary miRNA to pre-miRNA through complex guidance,which guides the target gene base pairing to guide RISC to degrade mRNA or impede its translation.RNAs regulates the expression of a variety of oncogenes or tumor suppressor genes.I can understand that many cancers have the characteristics of susceptibility,that is,the changes in genetic material and the expression of genetic information in the same direction as cancer.In these cancers,the expression of miRNA has entered the diagnosis of cancer as a biomarker for diagnosis and prognosis.To assess the occurrence,progress and response of cancer patients,and the genetic mechanism of genetic cancer.The impact of the regulatory mechanism itself on the disease plays a major role in the application of mi RNA in the diagnosis,treatment,and genetic control of cancer.This article selects three kinds of cancer,which are pancreatic cancer,adrenocortical cancer and neuroglioma.The main reason is that the first three kinds of cancers are all hereditary cancers.Patients with pancreatic cancer have been determined to have a certain opportunity to have a vertical relationship,usually autosomal inheritance.The etiology of adrenocortical carcinoma is not clear,but it is suggested that SF1 is involved in the development of adrenal gland in the embryonic stage.The loss of genetic SF1 will lead to the occurrence of adrenocortical carcinoma.Neuroglioma is a primary central nervous system tumor,which is usually caused by genetic risk factors and environmental carcinogenic interaction.Secondly,it is difficult to distinguish the clinical manifestations,and has certain clinical similarity,which has a certain guiding role in the clinical diagnosis.At last,I know three kinds of abnormal expression network of miRNA and gene in cancer.I can study common pathways andpersonalized pathways based on network access and loop to provide some reference for targeted therapy.Now the mainstream mi RNA network there are three main ways: the first is the relationship between the direct study of mi RNA and related cancers,such as cancer and correlation study of mi RNA developed by Hu et al,a correlation study of mi RNA database size,the probability of probability,cause in some cancer etc..The second method is the study of the correlation between mi RNA and a gene.The more relevant the reaction is,the larger the node is,and the node is tagged with different colors.The difference between up/ down miRNA or gene.The third kinds of mining abnormal expression of mi RNA and gene regulation,but do not contain the data of transcription factor,target gene,host gene and so on.The first method is suitable for the establishment of cancer database,and the correlation study of mi RNA can not reflect the effect of mi RNA and gene interaction on the disease.The second methods are more detailed,and the relationship between up /down is more obvious and does not reflect how it works.The third methods only focus on the interaction of abnormal expression,and do not reflect the role of the target gene and the host gene.The method is based on third methods: pancreatic cancer,adrenocortical carcinoma and glioma.The abnormal expression of these three kinds of cancer mi RNA is collected.Abnormal expression of genes,target genes,host genes,transcription factors and other data,using these data to build an abnormal expression network,through the comparison of three cancer abnormal expression network and related network,so as to analyze three kinds of cancer.Traditional bioinformatics data acquisition is mostly based on artificial acquisition.However,with the deepening of bioinformatics research,research results and literatures are increasing geometrically.In this paper,a combination of text mining algorithm and artificial collection is used to collect and collate the transcriptional factors that are verified by experiments from authoritative resources,and control the relationship between mi RNA,mi RNA,target genes,miRNA and host genes.Using text mining methods to dig out the differences of the 32 genes in pancreatic cancer,the difference of mi RNA88;differential gene expression of adrenal cortical carcinoma 36,miRNA 95;gene glioma differences 35,a difference of mi RNA62;mi RNA and gene regulatory network construction from the collection of target genes and host genes,miRNA,abnormal expression of network were constructed respectively.Comparison and analysis of abnormal network,and.The differential network of glioma,adrenocortical carcinoma and pancreatic cancer is to analyze the causes of the three cancers in clinical similarity and heredity,so as to providereferences for early prevention,clinical diagnosis and targeted therapy.From adrenocortical carcinoma,glioma and pancreatic cancer,based on abnormal expression genes,target genes,host genes and abnormal expression of mi RNA,I established an abnormal expression network to reveal the correlation and late prevention and treatment strategies of these three kinds of cancers.Through the comparison of their image feature map,to find and analyze three kinds of similar common features with its own characteristics,and as an opportunity to find abnormal expression pathway and not found to better target therapy.Researchers have obtained a lot of data about genes and microRNA(miRNA)in cancer.In order to investigate the mechanism in cancer gene and miRNA,I consider the relationship between the three types of cancer and transcription as a starting point,and miRNA gene regulatory network,including the relationship between transcription factor and miRNA,miRNA and target gene and miRNA and its host gene are discussed.I found a topological network about three kinds of cancer.The similarities and differences of the two networks are compared and analyzed,and the key nodes and the key paths are distinguished.At the same time,the use of adrenal cortical carcinoma,pancreatic cancer,glioma three cancer mi RNA abnormal expression data generated by the thermal,diagram and data I found that the expression elements of some differences(gene and miRNA)exist between certain adaptive relations.In the collection of three types of cancer data,I study the correlation of three kinds of cancer,some cancers due to less basic data from Hu et al,according to the abnormal expression of network using random walk trust path algorithm,that part of the miRNA data rich network structure.It is found that there are complex regulatory relationships between miRNAs and genes in the abnormal network of these three cancers,including mi RNAs,target genes and transcription factors.By studying these closed loops,I can find the mechanisms of the occurrence,development and metastasis of related cancers.Compared to three kinds of abnormal cancer networks,three common genes,TP53,SMAD4,KRAS,were found and compared with three abnormal expression networks.Three common mi R-155,let-7,and mi R-21 were found in three abnormal cancer networks.The comparison of three kinds of abnormal cancer networks found that there were different regulatory pathways in their common genes and mi RNAs.Meanwhile,the co genes between pancreatic cancer and glioma,pancreatic cancer and adrenocortical carcinoma,glioma and adrenocortical carcinoma were comparatively analyzed,and the effect of abnormal expression of mi RNA on cancer was analyzed.There are 4 different genes in pancreatic cancer andadrenocortical carcinoma: TP53,EGFR,SMAD4,TGBFR2,respectively.The 5 common differences mi RNA are miR-200,miR-214,miR-190,mi R-155,let-7.In the case of let-7,let-7 plays a different role in different cancers in different cancers,including two effects of cancing cancer and promoting cancer.Mi RNA let-7 was first found to contain 13 members on 9 chromosomes.There is increasing evidence that when miRNA let-7 is not completely complementary to target genes,let-7 inhibits target genes,and let directly targets mRNA when it is completely complementary to target genes.In pancreatic cancer,studies have shown that let-7 plays the role of down-regulated.From the differential expression map,I can see that KRAS is also the target gene of mi R-413,miR-181,mi R-96 and let-7.KRAS gene in vivo is a switch,it plays an important role in the regulation of signal transduction pathway of tumor cell growth and angiogenesis in the process of growth can inhibit tumor cells in KRAS gene under normal conditions,but in the let-7 down-regulated,will stimulate cell growth,disrupt the growth rule,I lead to the occurrence of cancer;they found a total of 8 differentially expressed genes including TP53,CDKN2 A,ERBB2,E2F1,EGR1,EGFR,PTEN,ATM,a total of 16 differentially expressed miRNA including mi R-107,mi R-155,miR-17,mi R-21 etc..I can see that mi R-155,a cancer resident,is basically not absent from every cancer.In mi R-155 glioma,mi R-155 has been associated with glioma.MiR-155 has been studied in glioma.It plays an important role in the occurrence and development of glioma by changing the cell transcription of glioma.There are 6 genes in glioma and adrenocortical carcinoma,including KARS,TP53,CDK4,SMAD4,BRAF and IGF2.9 common differences miRNA,including miR-184,mi R-214,mi R-195,miR-21.I found that IGF2,also called growth regulator,is a multifunctional receptor,which is believed to play a role in lysosomes,and can be used for signal transduction of cell growth.Its fundamental role is to promote growth and differentiation.As the host gene of mi R-483,ectopic expression of miR-483-3p and DPC4/Smad4 significantly inhibit the protein level in cancer cell lines,and promote cell proliferation and colony formation.Abnormal network of three types of cancer that miRNA due to abnormal gene expression is regulated,will not produce symptoms;thermography and path diagram I rely on the establishment of the part can reveal the common pathogenesis of three types of cancer and some personality symptoms.By analyzing abnormal networks and using targeted drugs,it is possible to become a scheme for three kinds of cancer gene therapy.From the perspective of gene and mi RNA.A number of studies have shown that miRNA is associated with many tumors,including colon,adrenocortical,pancreatic,and glioma.This study will guide medicalresearchers to further develop a study of the relationship between genes and miRNA like cancer.In the future,with the increase of the incidence,mechanism,improvement,metastasis and treatment of pancreatic cancer,adrenocortical carcinoma and glioma,I will get a better understanding.