34 results about "Mirna target gene" patented technology

The invention discloses a sequence characteristic analysis method for forecasting a miRNA target gene. The method comprises the steps of constructing related characteristics of 27 miRNA-target point pairing sequences on the basis of a CLASH experiment data set, and forming a characteristic set comprising 84 characteristic values by combining traditional characteristic; and performing machine learning by using a random forest model, and constructing a miRNA target gene forecast model to perform miRNA target gene recognition. The model constructed according to the method has the advantages of high accuracy, sensitivity, specificity and precision, and the miRNA target gene can be relatively and accurately forecasted.

The invention discloses a method for researching an oryza sativa and pathogen interaction mode, and belongs to the field of plant biotechnology. The method for researching the interaction mode of oryza sativa in response to pathogen infection through integrated application of a transtriptome, a proteome and a miRNA group comprises the concrete steps: A, respectively taking oryza sativa leaf blade total RNAs, Small RNAs and total proteins of a disease-resistant material and a susceptible material at different time points before and after pathogen inoculation; B, respectively carrying out differential-expression spectrum analysis, differential proteomics analysis and miRNA identification and target gene analysis; and C, integrating and associating differential genes, proteins and miRNA target genes identified by the three ways, to reveal disease-resistant and susceptible reaction paths activated or inhibited in the oryza sativa and pathogen interaction process, so as to relatively systematically illuminate an oryza sativa-magnaporthe oryzae interaction mechanism. The method can quickly and effectively screen candidate genes associated with oryza sativa disease resistance.

The invention discloses a method of constructing degradome sequencing library. The method comprises following steps: sorting mRNA sections of miRNA target gene, connecting connectors of 5' terminals of mRNA sections of miRNA target gene, and amplifying cDNA of miRAN target gene. The technical scheme facilitates the operation, enables the specific loci where the animal and plant miRNAs act on the target gene to be located accurately, breaks through the bioinformatics prediction limitation, finds the target gene where miRNA acts on, and has the characteristics of efficiency, rapidness, intuition and accuracy.

The invention discloses a method for screening MicroRNAs of nilaparvata lugens with effect on oryza sativa resistance adaptability, and relates to the bioengineering technology. The method comprises the following steps: (1) sample collection; (2) sequencing of small RNA; (3) pretreatment of sequencing raw data; (4) sequence alignment; (5) new miRNA prediction; (6) analysis of miRNA differential expression; (7) prediction of differential miRNA target genes; (8) synthesis of miRNA mimic, miRNA inhibitor and control chain; (9) microinjection and artificial feeding of miRNA mimic and miRNA inhibitor to nilaparvata lugens and verification of the function of miRNAs; (10) preliminary study on oryza sativa resistance adaptability change of the nilaparvata lugens after microinjection and artificialfeeding. Small RNAs of two nilaparvata lugens groups are deeply sequenced with a high-throughput sequencing technology, and are analyzed, identified and predicted according to subsequent bioinformatics, differences between the two nilaparvata lugens groups on insect-susceptible oryza sativa TN1 and insect-resistant oryza sativa YHY 15 are compared, the miRNA associated with host resistance adaptability is analyzed, screened and discovered, and the new method is provided for oryza sativa insect-resistant breeding.

The invention provides a ceRNA competition model identification method and device, electronic equipment and a storage medium, and relates to the field of gene identification. The ceRNA competition model identification method comprises the steps of obtaining an RNA1 gene module and an RNA2 gene module according to the expression matrix of the RNA1 and the expression matrix of the RNA2, wherein theRNA1 and the RNA2 are miRNA target genes; regulating relation data, a miRNA expression matrix, an RNA1 gene module and an RNA2 gene module according to the prior miRNA-target gene, and performing identification for obtaining the ceRNA competition module which satisfies a condition, wherein the ceRNA competition module comprises an inner competition module and an outer competition module. Because the inner and outer competition conditions of the ceRNA are considered, the inner and outer competition strength of the ceRNA and the influence of the miRNA to the inner and outer competition strengthsof the ceRNA are measured in a module level. Therefore, the method provided by the invention can accurately identify the ceRNA competition module.

The invention discloses a method for carrying out ceRNA prediction based on miRNA target gene prediction and related expression analysis. The method is characterized by comprising the following steps:carrying out correlation analysis on a ceRNA action pair; screening potential ceRNA relationship pairs according to the number of common MERs; evaluating the regulation and control function of the miRNA on a pair of competitive lncRNA-mRNA by adopting two scoring modes according to the expression correlation of the miRNA and the ceRNA to the three; and obtaining results of statistical test significance, and sorting the results according to scores. The method for carrying out ceRNA prediction based on miRNA target gene prediction and related expression analysis has the advantages that after the ceRNA is preliminarily analyzed, the inter-gene expression correlation is analyzed according to an actual sequencing result, and the result is screened; different target gene prediction methods areadopted for animals and plants, so that ceRNA prediction analysis can be performed; and information in a common database is integrated, and the reliability of an analysis result is improved.

The invention discloses a screening and identifying method of miRNAs (micro Ribonucleic Acids) of fetal fibroblasts of Saanen dairy goats. The method comprises the following steps: obtaining the fetal fibroblasts of the Saanen dairy goats; extracting RNAs; constructing a library and carrying out high-throughput sequencing; and carrying out data processing. By adopting the high-throughput sequencing, 16395039total_reads are obtained, and redundant data is taken out to obtain clean_reads 16150181 containing Unique sRNAS 205857. Bioinformatic analysis is carried out to obtain 44 known miRNAs and 247 candidate new miRNAs. The quantity of miRNA target genes is 5401, and the quantity of sites of the target genes is 6069; and the quantity of candidate miRNA target genes is 8401, and the quantity of sites of the target genes is 10832.

The invention discloses a method for constructing a degradome sequencing library. The method comprises the following steps: the sorting of mRNA fragments of a miRNA target gene; the ligation of 5' terminal adapters with the mRNA fragments of the miRNA target gene; reverse transcription with random primers; and the amplification of the cDNA of the miRNA target gene. According to a technical schemeof the invention, ligation of specific 3' terminal adapters is not needed, so operation is simple, little time is needed, and requirements on a sample size are greatly reduced; the method can accurately find out specific sites where animal and plant miRNAs act on target genes, get rid of the limitation of bioinformatics prediction, and actually find out target genes on which miRNA acts through experiments; and the method is characterized in that the method is efficient, fast, visual and accurate.

The invention discloses a strategy for relieving a miRNA inhibition function to promote target gene expression, and provides a specific implementation method based on a genome editing technology. A gene editing technology is used for editing the recognition sequence of a miRNA target gene, base substitution mutation and amino acid deletion mutation with normal target gene functions are screened, the recognition sequence destroys mutants not inhibited by upstream miRNA, and the simple and efficient method is provided for promoting the functional research and functional application of the targetgene.

The invention belongs to the technical field of biology, and relates to a rapid and accuracy message Ribonucleic Acid (mRNA) nucleoplasmic ratio variation-based method for identifying a mirna Ribonucleic Acid (miRNA) target gene, and to application of the method in the biomedical field. The method is realized through the following technical scheme of: predicting possible target genes of a certain miRNA through the conventional miRNA target prediction bioinformatics software, such as Targetscan; measuring the mRNA nucleoplasmic ratio variation of the possible target genes in a cell by utilizing a biochip or real-time quantitative Polymerase Chain Reaction (PCR); searching the possible target genes with an mRNA nucleoplasmic ratio of more than 1; and further confirming in the protein level through Western blot.

The invention an analysis and identification method on the miRNA key target gene of blood fluke in the specific growth period, and belongs to the field of life medicine science. Bioinformatics is adopted to analyze the blood fluke genome so as to find certain miRNA target gene groups in the blood fluke genome. Then Solexa is utilized to analyze the blood fluke expression difference gene groups in the high expression period of miRNA and the low expression period of miRNA. The overlapped part between the blood fluke expression difference gene groups and the miRNA target gene groups is the candidate key gene groups. Then KEGG analysis is used to find the important genes in the candidate key gene groups so as to determine the key target gene group primarily. Then the miRNA mimic is utilized to carry out in-vitro experiments to further screen out the key target genes, and finally the target relationship between the miRNA and the key target genes is further confirmed through a luciferase reporter system. The establishment of the provided method can help the identification of the key target genes of miRNA in the specific period, help the disclosure of the modulation effect of miRNA, and provide an ideal route for miRNA function researches. At the same time valuable references are provided for the similar research methods on other species.

The invention provides a separated nucleic acid with a miRNA target gene binding site sequence. By the separated nucleic acid in an embodiment, miRNA reduction can be realized. Especially, as for high-CG-content miRNA with CG content being up to 90%, reduction efficiency of the nucleic acid is remarkably improved as compared with that in the prior art.

The invention relates to a miRNA target gene double-binding-site fluorescent carrier and a construction method and application thereof. The miRNA target gene double-binding-site fluorescent carrier comprises two wild-type site fragments bound with a miR-135a-5p seed sequence, a fragment between the first and second wild-type sites, a fragment between first and second wild-type sites, and a fragment between two mutation sites. The invention provides a miRNA target gene double-binding-site fluorescent vector, a construction method and an application thereof. The miRNA target gene double-binding-site fluorescent vector can be used for rapidly and directly detecting the combination of miRNA and a predicted target gene, save the research cost and shorten an experiment period.

The invention discloses a method for detecting whether mRNa to be tested contains a miRNA target site or not and an application of the method. The method comprises the steps of 1) providing a target miRNA expression vector and an mRNA expression vector to be tested, wherein the mRNA expression vector to be tested can transfer an mRNA molecule named as an initiation codon region-mRNA-kozak-report gene mRNA to be tested in biologic cells, and the mRNA molecule is formed by connecting an initiation codon region with an mRNA-kozak segment located at the downstream of the initiation codon region and a report gene mRNA located at the downstream of the mRNA-kozak to be tested; 2) constructing restructure biology cells of the miRNA expression vector having transmitting-in purpose and the mRNA expression vector to be tested; and 3) detecting the expression situation of the report gene in the restructured biology cells, and determining whether the mRNA to be tested contains the target miRNA target site or not. The method can be used for screening the miRNA target gene.

The invention provides a single-sample ceRNA network identification method and device, electronic equipment and a storage medium, and relates to the technical field of gene identification. The single-sample ceRNA network identification method comprises the following steps: identifying and acquiring a plurality of ceRNA competition relation pairs corresponding to each sample in matched samples according to a transcriptome matrix of miRNA of the matched samples, transcriptome matrixes of a first target gene and a second target gene of the matched samples and priori miRNA and target gene regulation and control relation data; and fusing the plurality of ceRNA competition relationship pairs corresponding to each sample to obtain a ceRNA network corresponding to each sample. According to the method, the ceRNA network of the single sample is obtained based on the miRNA of the matched sample, the transcriptome matrix of the first target gene and the transcriptome matrix of the second target gene and the regulation and control relation data of the priori miRNA and the target genes, the gene regulation and control mechanism in the single sample can be disclosed, and the competitive relation between the miRNA target genes under the single sample can be reflected.

The invention provides a new algorithm (CNNmiRT) to predict miRNA target genes by utilizing the features of complementation, conservation and accessibility between miRNA-target genes. Because experiment support on negative interaction is not published commonly, and is not recorded in a database, therefore the number of loci of verified negative samples is far lower than that of loci of positive samples. A restraint release method is used to build four kinds of balanced experimentally-verified training data sets in order to compensate, and the four kinds of balanced experimentally-verified training data sets comprise one highly-conservative positive sample data set, one completely-complementary positive sample data set, one accessible positive sample data set and one negative sample data set. The method not only avoids wrong filtering of real targets which do not meet certain feature thresholds, but also solves the problem of disequilibrium of the experimentally-verified data sets. Then, the miRNA target genes are predicted by applying the convolutional neural network.