34 results about "Mirna target gene" patented technology

The invention relates to an application of miR-26a in non-small cell lung cancer (NSCLC). MiR-26a can effectively inhibit the proliferation of NSCLC cells, and promote the apoptosis of lung cancer cells. MiRNA target gene prediction software shows that WNK3 is a potential target spot of miR-26a, the 3'-UTR area of WNK3 has two binding sites in complementary pairing with the seed sequence of miR-26a. The test shows that miR-26a can inhibit the translation and expression of target genes in the protein level. A bifluorescence reporter gene system proves the direct targeted relationship of miR-26a and WNK3. The in-depth study shows that miR-26a opens the Caspase path of cell apoptosis by targeting WNK3 protein, and finally plays the role of inducing cell apoptosis, thus providing an important therapeutic target for the accurate treatment. Through the application of miR-26a in NSCLC, an action mechanism of miR-26a is verified, potential miRNA molecules with an anti-cancer function are provided clinically, a theoretical basis is provided for the study on the relevant drug targets, and novel accurate treatment research direction and application guidance are also provided.

The invention discloses a method and application of small RNA regulating mitochondrial gene expression. Regulation of mitochondrial gene expression can be achieved by transfecting siRNA or miRNA into cells. This method can be used to study the function of mitochondrial genes and regulate mitochondrial function. Transferring siRNA of mitochondrial target genes into cells can effectively reduce the abundance of target gene mRNA in mitochondria, and also reduce the expression of protein level. miRNA can enhance the expression and translation level of target genes and regulate the function of mitochondria without changing the mRNA level of target genes in mitochondria. The invention discovers for the first time the regulating effect of small RNA on mitochondrial genes, and provides a new direction for studying the functions of mitochondrial genes.

The invention provides a ceRNA competition module identification method, device, electronic equipment and storage medium, and relates to the field of gene identification. The ceRNA competition module recognition method includes: respectively according to the RNA 1 expression matrix and RNA 2 expression matrix to obtain RNA 1 Gene modules and RNA 2 gene module, where RNA 1 and RNA 2 are miRNA target genes. Based on a priori miRNA-target gene regulatory relationship data, miRNA expression matrix, RNA 1 Gene modules and RNA 2 The gene module identifies a ceRNA competition module that satisfies the conditions, wherein the ceRNA competition module includes an internal competition module and an external competition module. Due to the consideration of ceRNA internal and external competition, the strength of ceRNA internal competition and external competition was measured at the module level, as well as the influence of miRNAs on ceRNA internal and external competition. Therefore, the protocol provided by the present invention can accurately identify ceRNA competition modules.

The present invention discloses a recommendation model based miRNA target gene prediction method (miRTRS). The method comprises: constructing a bipartite graph of an miRNA and a gene by using experimentally verified miRNA target gene data; on this basis, calculating a possibility that one gene is an miRNA target gene by using a bipartite graph based recommendation algorithm, and introducing biological data, i.e. sequence similarity between miRNAs into the recommendation algorithm; and finally, sorting recommendation values in a descending order, and taking what is ranked at the front as an miRNA target gene relation. The method disclosed by the present invention is simple and easy for use; and compared with the existing miRNA target gene prediction method, the method provided by the present invention is significantly improved on the aspects of accuracy, sensitivity and specificity of prediction, and provides valuable reference information for scientists to perform experiments and further study of miRNA target gene discovery.

The invention discloses a microRNA target position point prediction method based on a support vector machine, comprising the following steps: 1) building a training data set comprising 278 positive samples and 194 negative samples; 2) building a characteristic set: the sample of each characteristic set is represented by one characteristic vector which contains each aspect information of the miRNA-target position point regulation pair and is divided into six parts, i.e. 128 characteristics; 3) selecting a simplified characteristic set: using a series of characteristic selection algorithms in Weka3 to screen 64 characteristics; 4) result evaluation: comparing the classifying capability of classifiers based on the characteristic set, the simplified characteristic set and the miTarget characteristic set; and 5) function annotation of an miRNA target gene. The invention has the meaning of building a characteristic which is found to be relative with miRNA target position point combination in recent years and developing a set of new miRNA target position point prediction methods; the predictor is optimized by the means of characteristic selection; the detection result comparison shows that the new adopted characteristic can help to predict the miRNA target position point.

The invention relates to a method for predicting anthracycline drug cardiomyocyte gap junction communication abnormality using miRNA-gene co-expression network, comprising the following steps: Step 1: Experimental grouping; Step 2: RNA extraction; Step 3: miRNA-gene chip data Differential expression analysis; step 4: miRNA target gene analysis and regulatory network construction. The present invention uses the miRNA-gene co-expression network to predict the abnormality of anthracycline drug cardiomyocyte gap junction communication, and predicts the abnormal cardiomyocyte gap junction communication through the miRNA-gene co-expression network, which is a new molecular marker for discovering anthracycline drug cardiotoxicity A new approach is provided, which provides a reference for predicting its prognosis.

The invention discloses a method for constructing and expressing a micro ribonucleic acid (miRNA) target simulation sequence by using a plant virus vector. Experiments prove that deoxyribonucleic acid (DNA) molecules which are chemically synthesized and encoded and have the miRNA158 or miRNA172 target simulation sequences are inserted into the plant virus expression vector pTY102 to obtain a recombinant expression vector, the recombinant expression vector is imported into tobaccos leaf, and after three weeks, the phenotypic modulation of tobacco and the raising of the expression of the miRNA target genes can be detected. According to the method, bridge polymerase chain reaction (PCR) is not needed; the method is simple; and by using the characteristics of high expression, wide host range and high speed of spreading in the whole plant of virus, the expression level of plant endogenous miRNA can be reduced quickly and conveniently, and a new way is provided for researching the plant endogenous miRNA function.

The invention discloses a strategy for releasing the inhibitory function of miRNA to promote the expression of target genes, and provides a specific implementation method based on genome editing technology. The recognition sequence of the miRNA target gene is edited by gene editing technology, the base substitution mutations and amino acid deletion mutations with normal function of the target gene are screened, and the mutants whose recognition sequence cannot be suppressed by the upstream miRNA is destroyed. The invention is to promote the function of the target gene Research and functional applications provide an easy and efficient way.