61 results about "MiRNA Gene" patented technology

Provided are DNA microarray techniques that allow hybridization without RNA amplification, without using cDNA, and without labeling the nucleic acid prior to hybridization. Referred to as the Double-stranded Exonuclease Protection (DEP) assay, the technique permits the sample RNA to be used directly for hybridization, without manipulation in any way. Further provided is a microarray technique for high-throughput miRNA gene expression analyses, termed the RNA-primed, Array-based, Klenow Enzyme (RAKE) assay. The RAKE assay is a sensitive and specific technique for assessing single-stranded DNA and RNA targets, and offers specific advantages over Northern blots.

The invention belongs to the biotechnology field and discloses a purpose of small RNA; the small RNA is used to prepare a reagent or a reagent-box of SLE. The invention also discloses a test reagent or a test reagent-box used to test the level of the small RNA, thereby diagnosing the SLE. The invention initially discloses and proves that the small RNA and the SLE are closely related, so as to provide a new drug target for disease prevention; the regulation of the small RNA level is a novel curing means for disease obstruction.

The invention discloses transgenic regulation and control miRNA (micro ribonucleic acid) gene algae capable of realizing continuous photosynthetic hydrogen production. Regulation and control miRNA is screened from a green algae miRNAs library or is designed for a green algae functional gene affecting photosynthetic efficiency, transgenic algae capable of inducing the expression of the regulation and control miRNA through such manners as light intensity or temperature and the like is created, and the activity of a green algae photosynthetic system II is indirectly regulated and controlled by means of inhibition of the miRNAs on a target gene to control the hypoxia environment in algae cells so as to enable the green algae cells to continuously produce hydrogen; a culture medium does not need to be alternately changed in the hydrogen production process of the transgenic regulation and control miRNA gene algae created by the method, and thus the defect that the culture medium needs to be alternately changed to realize the continuous hydrogen production of the existing green algae to cause great reduction on the growth and hydrogen production ability of the culture medium is overcome, and the transgenic regulation and control miRNA gene algae has an industrial application prospect.

The invention aims to provide a miRNA and an application of miRNA in preparation of a product for diagnosing and treating posterior capsule opacification. The miRNA is miR-204-5p and the RNA sequence is SEQ ID NO:1. A miRNA gene product can be used for adjusting the expression of an SMAD4 gene, blocking a TGF (Transforming Growth Factor)-beta/Smads signal channel and inhibiting epithelial-mesenchymal transition (EMT), and has the potential of preparing the diagnosing and treating product for the posterior capsule opacification PCO.

The invention discloses a method for predicting bacterial blight of rice by utilizing miRNA 1430 genes, belonging to the technical field of biology. The method comprises the following steps: selecting rice to be detected and control rice, wherein the selected control rice is not infected with the bacterial blight but is cultivated with the rice to be detected under the same conditions; respectively separating total miRNA genes in the rice to be detected and the control rice; respectively detecting the expression quantities of the miRNA1430 genes in the total miRNA genes in the rice to be detected and the control rice, wherein the sequences of the miRNA1430 genes are shown in SEQ ID NO:1 in a sequence table; and judging whether the experiments are successful according to the expression quantities of the miRNA1430 genes in the rice to be detected and the control rice and further judging whether a plant to be detected is infected with the bacterial blight if the experiments are successful. The prediction method disclosed by the invention achieves success, can achieve accurate prediction a few days before the bacterial blight of rice appears and has the effects of gaining time for early prevention and treatment and reducing the rice loss caused by the bacterial blight.

The invention discloses an identification method of rice bacterial leaf blight resistance and an application of miRNA1425 genetic locus, and belongs to the field of biotechnology. The identification method comprises the following steps: inoculating paddy rice to be detected and infected paddy rice; separating miRNA genes of the paddy rice to be detected and the infected paddy rice; detecting the expressions of the miRNA genes; and determining whether the paddy rice to be detected is resistant to bacterial leaf blight. The invention further discloses the application of the miRNA1425 genetic locus in identification of rice bacterial leaf bright resistance. The invention uses the transcription of the miRNA1425 gene locus to identify whether paddy rice is resistant to bacterial leaf blight, and achieves success. The transcription of the miRNA1425 gene locus provided by the invention is detection based on expression level, so as to avoid misjudgment caused by bacterial leaf blight resistance gene silencing; and the identification method provided by the invention does not use the conventional DNA linkage tracer method, so as to avoid misjudgment caused by untightness of DNA linkage, improve the detection accuracy and avoid unnecessary production loss.

The invention discloses an miRNA forecasting method, which is characterized by comprising the following steps: (a) according to a principal component analysis method, establishing a new nucleotide sequence structure characterization method to obtain base two-dimensional characteristic scores; (b) characterizing the structures of the miRNAs and the non-miRNAs of human genes by the base two-dimensional characteristic scores; (c) carrying out normalization processing on the characterization variables of each miRNA and each non-miRNA by using a self-cross covariance method; (d) selecting parameters closely related with the miRNA structural characteristics by using a step-by-step method and establishing an miRNA forecasting model by a linear discriminatory analysis method; and (e) verifying the forecasting ability of the forecasting method by respectively adopting self-substitute verification, 1/5 reserving method cross verification and external verification. The miRNA forecasting method can be used for miRNA forecasting to discover new unknown miRNA genes.

The invention discloses a method for predicting bacterial blight of rice by utilizing miRNA 5794 genes, belonging to the technical field of biology. The method comprises the following steps: selecting rice to be detected and control rice, wherein the selected control rice is not infected with the bacterial blight but is cultivated with the rice to be detected under the same conditions; respectively separating total miRNA genes in the rice to be detected and the control rice; respectively detecting the expression quantities of the miRNA5794 genes in the total miRNA genes in the rice to be detected and the control rice, wherein the sequences of the miRNA5794 genes are shown in SEQ ID NO:1 in a sequence table; and judging whether the experiments are successful according to the expression quantities of the miRNA5794 genes in the rice to be detected and the control rice and further judging whether a plant to be detected is infected with the bacterial blight if the experiments are successful. The prediction method disclosed by the invention achieves success, can achieve accurate prediction a few days before the bacterial blight of rice appears and has the effects of gaining time for early prevention and treatment and reducing the rice loss caused by the bacterial blight.

The invention discloses a biological genome sequence-based microRNA predicting method. According to the invention, a method for predicting microRNA in an animal genome sequence is designed and experimental verification is performed. The method comprises the following steps: firstly, downloading genome sequences and mature miRNAs sequences of biological species from a website; secondly, removing the sequences with inconsistent number of matched bases by performing genome balst comparison by utilizing downloaded miRNAs of other species, and extracting a precursor sequence of the microRNA for performing stem-and-loop structure predicting; thirdly, deleting predicted stem-and-loop sequences which contain encoding protein from the genome; fourthly, screening and deleting the sequences which have inappropriate AU content and are not accordance with typical structural characteristics of the precursor miRNA; fifthly, acquiring possible miRNAs genes; sixthly, verifying the predicted microRNA by utilizing a stem-loop RT-PCR experiment.

The invention relates to a FISH probe composition for detecting a miRNA gene related to esophagus cancer. The probe composition contains a FISH probe for detecting the miRNA gene related to esophagus cancer. The invention further provides a FISH kit for detecting the miRNA gene related to esophagus cancer. The FISH kit comprises the FISH probe composition according to claims 1-5. In addition, the invention further discloses a use method of the FISH kit for detecting the miRNA gene related to esophagus cancer. According to the technical scheme, various miRNA genes related to esophagus cancer in saliva can be detected by directly adopting the fluorescence in situ hybridization technology, so that not only is a sample directly in-situ quantified, but also noninvasive diagnosis and screening of early esophageal cancer can be realized.

The invention discloses a reference miRNA gene stably expressed in an osteosarcoma patient. The reference miRNA gene comprises an hsa-miR-128a-5p or combination of hsa-miR-128a-5p and let-7d. The reference gene can be used for standardizing a target gene in osteosarcoma patient miRNA detection, research results of different laboratories can be compared, and normalization processing of experimentalresults is promoted.

The invention discloses a method using miRNA399j gene for prediction of bacterial leaf blight of rice, and belongs to the field of biotechnology. The method comprises the following steps: rice to be measured and control rice are selected, the selected the control rice is not infected with the bacterial leaf blight and is cultivated in the same condition with the rice to be measured; total miRNA genes in the rice to be measured and the control rice are separated respectively; the expression amounts of the miRNA399j gene in the total miRNA genes in the rice to be measured and the control rice are detected respectively; the miRNA399j gene sequence is as shown in SEQ ID NO:1 in a sequence table; and according to the expression amounts of the miRNA399j gene in the total miRNA genes in the rice to be measured and the control rice, whether the experiment is successful is judged, and if the experiment is successful, whether the plant to be measured is infected with the bacterial leaf blight is further determined. The prediction method achieves a success, can accurately predict a few days before the bacterial leaf blight of rice, wins time for the early prevention and treatment, and reduces the loss caused by the bacterial leaf blight of rice.

The invention discloses a method for forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene, and belongs to the technical field of biology. The method comprises the following steps: selecting to-be tested paddy rice and control paddy rice, wherein the selected control paddy rice is paddy rice which is not infected by bacterial leaf blight and is cultivated under same conditions with the to-be tested paddy rice; respectively separating total miRNA gene of the to-be tested paddy rice and the control paddy rice; respectively detecting the expression level of miRNA172b gene in the total miRNA gene of the to-be tested paddy rice and the control paddy rice, wherein the sequence of the miRNA172b gene is shown as SEQ ID NO: 1; and determining whether the experiment is successful according to the expression level of miRNA172b gene in the to-be tested paddy rice and the control paddy rice, if successful, further determining whether the to-be tested plant is infected by bacterial leaf blight. The provided prediction method is successful, is capable of accurately performing forecast several days before paddy rice has symptoms of bacterial leaf blight, wins time for early prevention and early controlling, and helps to reduce loss of paddy rice caused by bacterial leaf blight.

The invention belongs to the technical field of agricultural biology, particularly relates to miRNA capable of regulating lepidoptera pest death and delaying growth and development of lepidoptera pests as well as an analogue and an inhibitor of the miRNA, and further discloses application of the miRNA to preparation of medicaments for preventing and treating lepidoptera pests. According to the present invention, the sequence of a lepidoptera insect miRNA gene family is analyzed to obtain the lepidoptera insect plutella xylostella miRNA, i.e., pxy-miR-34-5p, and the mature body sequence of the pxy-miR-34-5p is further labeled and chemically modified so as to synthesize the corresponding miRNA analogue agomiR-34 and the inhibitor anti-agomiR-34 in vitro. A microinjection method is used for researching and finding that the analogue agomiR-34 and the inhibitor agomiR-34 of the pxy-miR-34-5p can delay the growth and development of lepidoptera pests or reduce the survival rate of lepidoptera pests by regulating and controlling the EcR of lepidoptera pests, and theoretical guidance is provided for establishing a new strategy for controlling lepidoptera pests based on the miRNA interference technology.