47 results about "Disease gene" patented technology

The invention provides a method for predicting miRNA-lncRNA-disease ternary correlation through deep tensor decomposition and hypergraph convolution, and relates to the technical field of miRNA-lncRNA-disease ternary correlation prediction. Comprising six steps of integration of multi-source heterogeneous data, generation of three-dimensional tensor representation, hypergraph convolution modeling high-order interaction, graph attention network feature refining, depth graph convolution network enhancement and correlation prediction. Node features in a graph attention self-adaptive refining similarity network are integrated, global structure learning is enhanced by adopting a depth graph convolutional network, and the combination can generate stable and information-rich embedding for final ternary correlation prediction, so that potential complex correlation among various biological entities such as diseases, genes and drugs can be accurately extracted, and the prediction accuracy is improved. The potential relation and mechanism between the biological entities are further disclosed, and comprehensive ternary correlation prediction is achieved.

The invention discloses a specific molecular marker linked with a wheat powdery mildew resistance gene PmCad as well as an identification primer and application of the specific molecular marker, and relates to the technical field of biotechnology and genetic breeding. The molecular marker comprises a molecular marker 2BS509-2 and a molecular marker 2BS509-7. The nucleotide sequence of the molecular marker 2BS509-2 is as shown in SEQ ID NO. 1, and the nucleotide sequence of the molecular marker 2BS509-7 is as shown in SEQ ID NO. 2. The invention also provides an identification primer for identifying the molecular marker, and the nucleotide sequences of the identification primer are shown as SEQ ID NO.3, 4, 5 and 6. The identification primer can also be used for preparing a kit, can be used for identifying the powdery mildew-resistant character of wheat and creating a powdery mildew-resistant wheat strain, and has a potential application prospect in the field of wheat breeding.

The application discloses a traditional Chinese medicine compound analysis method based on a multi-dimensional data and information weighted network, and belongs to the field of traditional Chinese medicine compound analysis. The method comprises the following steps: constructing a multi-dimensional disease gene set; acquiring a traditional Chinese medicine compound set and a target set; determining disease gene nodes, compound nodes and target nodes respectively, and constructing a heterogeneous correlation network; performing propagation node screening on the heterogeneous correlation network, and weighting the edge set of the heterogeneous correlation network; running three algorithms on the updated heterogeneous correlation network respectively, and performing equal-weight average fusion on the propagation results of the three algorithms to obtain a final weighted network correlation degree score; sorting the final weighted network correlation degree score from high to low to obtain a key target candidate list; and selecting the first N candidate targets in the key target candidate list for enrichment analysis. The application solves the problems of single data source, lack of functional semantic support in network construction, static node evaluation index, and disconnection between enrichment analysis and core algorithm in the prior art.

This invention relates to the packaging and screening of viral vectors, particularly to the packaging and screening of AAV mutants, specifically an adeno-associated virus mutant that efficiently infects HT-22 cells. By constructing a peptide mutant library of AAV9, a new AAV9 mutant with seven inserted amino acids was obtained through screening and verification. This mutant can effectively infect HT-22 cells at an MOI of 1E+5, achieving a higher infection rate than the natural AAV9 serotype at MOI=1E+5. The AAV9-HT01 mutant obtained after screening showed the best effect, with a significantly higher infection positivity rate compared to the control AAV9 serotype under the same MOI conditions. The fold increase was 4.4-fold as measured by luciferase (RLU) value detection. This effectively reduces the amount of AAV cells used for infection, saving experimental costs, and simultaneously makes it feasible to study the mechanisms of gene therapy for central nervous system diseases in HT-22 cells.

The application discloses a kind of preparation and application of multi-target small nucleic acid drug based on small activation RNA technology, and is related to the field of biotechnology.The preparation method of the multi-target small nucleic acid drug includes the following steps: (1) selecting at least two anti-disease genes according to target disease;(2) intercepting the sequence of 1000 base pairs of the promoter region upstream of the coding region of the anti-disease gene;(3) according to the promoter sequence, avoid CpG island and locate the segment of species conservation, and cut a sequence containing 19 base length as a sense strand;(4) design an antisense strand according to the sense strand, and the 19 base of the antisense strand and the sense strand are completely complementary;(5) add two deoxythymine or uracil to the 3' end of each chain.The multi-target small nucleic acid drug has good therapeutic effect on heart failure, and has strong cancer cell killing ability and inhibition ability of cancer cell migration, and has wide application prospect.

The invention discloses a biomolecular interaction prediction method based on multi-modal attention fusion, and belongs to the technical field of artificial intelligence drug discovery. The method comprises the following steps: acquiring multi-modal characteristics of drugs, targets, diseases and genes: sequence structure characteristics, 3D structure characteristics, similarity network characteristics and biological relation network embedding characteristics; constructing a feature fusion prediction model, and performing training; inputting the multi-modal features of the two biological entities into the trained feature fusion prediction model, and outputting the probability of interaction of the two biological entities; the feature fusion prediction model comprises a Transform encoder and an MLP (Markup Language Protocol) network; the multi-modal features are input into a feature fusion prediction model for stacking and then are input into a Transform encoder, the features are processed by using a multi-head self-attention mechanism, and an output result is flattened and subjected to dimension reduction processing to obtain embedded vector representation; and finally, performing element corresponding multiplication on the embedded vectors of the two biological entities, inputting the embedded vectors into an MLP network, and outputting an interaction probability between the two biological entities.

The present application relates to the technical field of gene detection, in particular to a primer probe combination for detecting Alzheimer's disease, a product and application thereof. The primer probe combination and kit provided by the present application can simultaneously detect Alzheimer's disease gene mutation and methylation, can effectively distinguish Alzheimer's disease patients from non-Alzheimer's disease subjects, realize low-invasive, low-cost, high-sensitivity, high-specificity detection of Alzheimer's disease, the total sensitivity of the blood sample for detecting Alzheimer's disease can reach 88.89%, the specificity of the blood sample for detecting non-Alzheimer's disease can reach 95.74%, the detection probability of false negative results can be reduced, and the detection accuracy is high.

The invention relates to the technical field of biology, in particular to a vitis davidii susceptible gene VdTLP19 as well as an encoding protein and application of the vitis davidii susceptible gene VdTLP19. The vitis davidii susceptible gene VdTLP19 is located on a chromosome 2 of vitis davidii and is distributed in a region 3655997-3656642, and the nucleotide sequence of the vitis davidii susceptible gene VdTLP19 is shown as SEQ ID No.1. The amino acid sequence of the protein coded by the gene is as shown in SEQ ID No.2. And after the vitis davidii susceptible gene VdTLP19 is silenced, the resistance of grape fruits to pathogenic bacteria is enhanced. After the VdTLP19 gene provided by the invention is silenced, the resistance of grapes to anthracnose can be improved, and a theoretical basis is provided for grape anthracnose resistance breeding.

The application provides a nucleic acid test strip and a detection method for detecting smut genes, and belongs to the technical field of detection. The application comprises a bottom plate, a sample pad and a water absorption pad; an NC film is attached to the bottom plate, the NC film is provided with a T line and a C line, the T line is sprayed with a coupling agent of a capture probe and streptavidin; the C line is sprayed with a coupling agent of a quality control probe and streptavidin; the quality control probe is complementary to a DNA sequence of a DNA1-AgInS2 / ZnS fluorescent probe. The application utilizes the advantages of AgInS2 / ZnS quantum dots (AgInS2 / ZnS QDs), such as good biocompatibility, high fluorescence intensity and wide spectral range. The test strip based on AgInS2 / ZnS quantum dots has higher sensitivity and stronger quantitative capacity than traditional test strips. The fluorescence ratio of the T line and the C line is detected by using a fluorescence immunoassay instrument for quantitative detection, the fluorescence immunoassay instrument can quickly read out the value, and has the advantages of rapidness, simple operation, low sensitivity, good selectivity and the like.

Provided is a platform for expressing a protein of interest by artificially manipulating the liver, and more particularly, to a platform for alleviating or treating a genetic disorder or improving a body function by inducing expression by inserting a transgene (e.g., a therapeutic gene) which can function or be expressed normally, into a high-expression secretory gene, instead of a disease gene which functions or is expressed abnormally. The high-expression secretory gene includes the HP or APOC3 gene. The transgene includes one that is highly expressed using a promoter in a hepatocyte genome and is secretory out of the cell.

The utility model relates to the technical field of gene detection, in particular to an autoimmune disease gene detection device which comprises two supporting frames fixedly installed at the top of a base, first electric telescopic rods are fixedly installed on the inner sides of the supporting frames, and first movable plates are installed at the output ends of the first electric telescopic rods. A first movable plate is driven by a first electric telescopic rod, so that the first movable plate is in sealed butt joint with a protection frame, a kit above the first movable plate is protected, reagents in the kit are better isolated from the outside, a round hole is shielded and sealed by a baffle, the kit can be isolated from the outside when detection is not carried out, and the detection efficiency is improved. By arranging a second protective shell and a baffle, the detection chip can be isolated and protected, so that the detection chip and the kit are independently protected, cross contamination between the detection chip and the kit is reduced, the accuracy of the detection device is improved, and a final detection result is effective.

The invention provides application of a DTX29 gene and a protein thereof in improving the resistance of plants to phytophthora infestans. The invention finds a susceptible gene DTX29 capable of effectively improving the resistance of plants to phytophthora infestans through a large number of researches. The DTX29 gene of the plant is edited through a CRISPR-Cas technology and the like, so that the function of the DTX29 gene is lost, the resistance of the plant to phytophthora infestans can be effectively improved, the diameter and area of disease spots and the relative biomass of phytophthora infestans are reduced, and normal growth and development of the plant are not influenced. The invention provides a new target and idea for prevention and control of plant diseases caused by phytophthora infestans.

The invention discloses an application of a rice susceptible gene Os10g0506100 and an encoding protein thereof in regulation and control of plant disease resistance. The nucleotide sequence of the rice susceptible gene Os10g0506100 is as shown in SEQ ID NO: 1, and the coded protein sequence is as shown in SEQ ID NO: 2. The Os10g0506100 gene is knocked out in rice through an RISPR / Cas9 technology, it is found that the resistance of rice to rice blast can be remarkably improved through knockout of the gene, and an effective way can be provided for rice breeding and disease-resistant variety improvement.

The invention discloses an InDel molecular marker related to maize rough dwarf disease resistance and application of the InDel molecular marker, and belongs to the technical field of molecular genetics. The InDel molecular marker closely linked with the maize rough dwarf virus resistance gene is obtained by screening in 12, 857, 147-13, 124 and 718 bp regions of the maize chromosome 2, the resistance of maize to rough dwarf virus can be accurately identified in an early stage by utilizing the InDel molecular marker, and the InDel molecular marker has the advantages of simplicity, convenience, rapidness, high efficiency, accuracy, good repeatability, high specificity and the like; the method can be used for corn molecular marker-assisted breeding.

The present disclosure provides recombinant vectors encoding a choline acetyltransferase (ChAT) polypeptide, compositions thereof, and methods of use thereof.

The invention belongs to the technical field of sunflower molecular breeding, and particularly relates to a KASP molecular marker related to a sunflower sclerotiniose resistance gene, a primer and application of the KASP molecular marker in sunflower disease resistance breeding. The KASP molecular marker related to the sunflower sclerotiniose resistance gene is a nucleotide sequence as shown in SEQ ID NO.1; the KASP molecular marker can be combined with primers SEQ ID NO: 2, SEQ ID NO: 3 and SEQ ID NO: 4, and through KASP molecular marker detection, whether a sunflower sample to be detected carries the sclerotiniose-resistant gene or not can be accurately judged, and the breeding process of sunflower sclerotiniose-resistant breeding is accelerated.

The invention belongs to the technical field of gene engineering, and relates to application of a wheat negative regulation anti-disease gene TaZF10 in resisting gibberellic disease. The invention verifies that the gene TaZF10 negatively regulates the resistance of wheat to gibberellic disease, the protein TaZF10 coded by the gene TaZF10 interacts with gibberellic disease resistant protein TaSnRK1 alpha, and the TaSnRK1 alpha interferes with the stability of the TaZF10 protein. The gene TaZF10 is subjected to frameshift mutation through a CRISPR-Cas9 gene editing technology, so that the protein TaZF10 loses functions, a gibberellic disease resistant material is created, and an effective way and material reserve are provided for wheat disease resistance breeding and disease prevention and control.

The present application relates to the technical field of genetic engineering, in particular to two Cynoglossus semilaevis anti-vibrio disease genes and application methods. The present application mainly studies the role of CD79a and CD79b in Cynoglossus semilaevis in resisting vibrio disease, and verifies from two directions of in vivo and in vitro, further promotes the progress of Cynoglossus semilaevis disease resistance breeding, and shows that CD79a and CD79b have the role of inhibiting Vibrio harveyi.

The invention relates to a primer group, a kit and a method for detecting a Fabry cardiomyopathy genetic susceptibility gene, and belongs to the technical field of gene detection. The genetic susceptibility gene of the Brie cardiomyopathy is a GLA gene, and the mutation site of the genetic susceptibility gene is c.640-801Ggt; a; the primer group comprises a PCR (Polymerase Chain Reaction) amplification primer group, and the amplification primer group comprises a forward PCR amplification primer and a reverse PCR amplification primer; the primer group further comprises a Sanger sequencing primer group, and the sequencing primer group comprises a forward sequencing primer and a reverse sequencing primer. The invention also provides a kit and a detection method based on the primer group. According to the primer group and the kit containing the primer group, the c.640-801Ggt of the Fabry cardiomyopathy GLA gene can be detected on the basis of a first-generation sequencing technology; a site mutation has important value for early screening detection and genetic risk assessment of the disease gene.

This invention relates to the packaging and screening of viral vectors, particularly to the packaging and screening of AAV mutants, specifically adeno-associated virus mutants that efficiently infect HT-22 cells. By constructing a peptide mutation library of AAV2, new AAV2 mutants, AAV2-HT01 and AAV2-HT02, with seven amino acids inserted, were obtained through screening and verification. Specifically, AAV2-HT01 inserts the amino acid fragment MSTVGKD at positions 587-588 of the AAV2 capsid protein; AAV2-HT02 inserts the amino acid fragment VQGRVHE at positions 587-588 of the AAV2 capsid protein. These mutants can effectively infect HT-22 cells at an MOI of 1E+5, achieving a higher infection rate than the natural AAV2 serotype at MOI=1E+5. This effectively reduces the amount of AAV-infected cells used, saving experimental costs, and makes it feasible to study the mechanisms of gene therapy for central nervous system diseases in HT-22 cells.

The present invention relates to a use of untranslated RNA RP11-252E2.2 for predicting liver cancer metastasis or treating liver cancer metastasis. lncRNA which specifically decrease in expression in liver cancer tissues and cells were identified by analyzing lncRNA which specifically decrease in expression in liver cancer as compared to normal cells with respect to lncRNA showing the potential to function as tumor suppressor genes, and RP11-252E2.2 was found to be involved in the metastasis of liver cancer. Therefore, the untranslated RNA RP11-252E2.2 discovered in the present invention is highly likely to be effectively used for predicting or treating liver cancer metastasis.

This invention discloses a Cg12n-v4.6 nuclease, the amino acid sequence of which is shown in SEQ ID No. 12. This invention develops a Cg12n-v4.6 nuclease mutant with increased activity and improved editing efficiency, achieving an editing efficiency of over 70%. Simultaneously, the corresponding sgRNA of Cas12n is engineered to simplify the sgRNA backbone size. Combining the engineered Cg12n-v4.6 nuclease mutant and the simplified sgRNA backbone, an enhanced Cas12n gene editing tool, namely the eCg12n gene editing system, is developed. Furthermore, this invention constructs a compact cytosine base editor and a compact adenine base editor by fusing deaminases, and applies the cytosine base editor to induce early stop codon generation in disease genes, achieving safe gene knockout. The Cg12n-v4.6 nuclease mutant and its derived compact eCg12n gene editing system provided by this invention not only improve editing efficiency compared to the original wild-type editing system, but also further simplify the system size, making it more suitable for gene editing applications.

The present application relates to the technical field of disease prediction, and discloses a phenotype analysis method for disease prediction, which comprises the following steps: constructing a database, determining the phenotype similarity of rare diseases and common diseases, referring to the difference of gene data of rare diseases and common diseases, constructing a "rare disease-common disease" common database, processing patient data to find the best combination of phenotype characteristics, calculating the disease matching score, calculating the cross-entropy loss of the phenotype characteristic matching model of disease prediction, taking the weighted sum of the classification loss function in the "rare disease-common disease" common database and the cross-entropy loss of the phenotype characteristic matching model as the total loss function of the disease prediction model, outputting the prediction result, extracting effective phenotype characteristics based on a graph convolution network for data comparison of rare diseases and common diseases, and extracting disease matching difference from the commonality of rare diseases and common diseases to predict diseases, which can solve the problem of easy confusion between diseases and to a certain extent, avoid misdiagnosis and missed diagnosis of rare diseases.

The application relates to the fields of biological medicine and gene therapy, and discloses an IL1RN mRNA lipid nanoparticle drug and application thereof. The drug comprises a lipid nanoparticle and IL1RN mRNA encapsulated in the lipid nanoparticle; the IL1RN mRNA encodes a human IL1RN protein; and the lipid nanoparticle comprises ionizable lipids, phospholipids, cholesterol and pegylated lipids. The application encapsulates IL1RN-201 / 203 mRNA in conventional LNP for the first time, completes preparation characterization and in-vivo expression verification, and proves significant antitumor effect in a high-pressure tail vein transposon-induced in-situ KRAS mutant iCCA mouse model, and partial animals achieve complete tumor regression, thereby filling the blank in the field of IL-1 related inflammatory disease gene therapy and having outstanding originality and broad clinical conversion prospect.

The application discloses a method for evaluating the curative effect of traditional Chinese medicine in colorectal cancer by fusing network representation and deep learning. The application accurately identifies disease core driver genes through single-cell transcriptome differential analysis and protein-protein interaction network topology centrality index, simultaneously extracts the structural characteristics of traditional Chinese medicine ingredients by graph isomorphism network, constructs traditional Chinese medicine-compound isomorphism network, and extracts the isomorphism topological representation of traditional Chinese medicine by network representation algorithm. The one-dimensional convolutional neural network is used to deeply mine the protein sequence nature semantic features of disease gene sequence, so that the protein features and the end dimension of traditional Chinese medicine are aligned. Finally, the cross-modal joint vector is constructed through feature splicing, and the intervention probability output by the full connection neural network is used to realize the scoring of the candidate drug. The application establishes a direct and quantitative connection between the traditional Chinese medicine intervention space and the single-cell pathological mechanism, realizes the end-to-end evaluation of the anti-colorectal cancer efficacy of traditional Chinese medicine, and can be applied to the fields of traditional Chinese medicine screening and individualized drug administration scheme making.

This application provides a method, system, and application for identifying potential drug targets, relating to the field of bioinformatics. The method includes: S1, constructing genetic instrumental variables related to a predetermined disease based on a multidimensional dataset, wherein the multidimensional dataset includes: a disease genome dataset, a dataset of druggable genes, and a dataset of plasma protein quantitative trait loci; S2, analyzing the genetic instrumental variables using Mendelian randomization to determine the potential causal relationship between genes and the predetermined disease; S3, validating the potential causal relationship between genes and the predetermined disease using a drug-gene dataset to identify potential drug targets for the predetermined disease. The aforementioned method, by comprehensively integrating disease genome, druggable gene, and protein quantitative trait locus data, effectively eliminates the interference of horizontal pleiotropic effects on the identification of potential drug targets and eliminates the confusion that may be caused by linkage disequilibrium, thereby improving the accuracy and reliability of potential drug target screening.

The invention relates to a neonatal genetic disease gene and metabolite combined screening method, system and equipment, and the method comprises the steps: carrying out the rapid detection of a plurality of metabolites on a neonatal biological sample, and obtaining metabolic spectrogram data; comparing the metabolic spectrogram data with a metabolic phenotype-genotype associated knowledge base, and automatically identifying an abnormal metabolic phenotype meeting a preset condition; in response to the identified abnormal metabolic phenotype, automatically triggering gene analysis of a specific gene corresponding to the target genetic disease in the same biological sample; based on the abnormal metabolic phenotype and the gene analysis result of the specific gene, a combined screening report is generated, so that accurate and efficient source tracing from a non-specific metabolic disorder index to a specific pathogenic gene source is achieved, and the purpose of providing an integrated screening and auxiliary diagnosis solution for neonatal genetic diseases is achieved.

The present application relates to the technical field of biology, and in particular to a Vitis davidii susceptible gene VdTLP19, a coding protein and application thereof. The Vitis davidii susceptible gene VdTLP19 is located on chromosome 2 of Vitis davidii, is distributed in the region of 3655997-3656642, and the nucleotide sequence is shown as SEQ ID No. 1. The protein coded by the gene has an amino acid sequence shown as SEQ ID No. 2. The Vitis davidii susceptible gene VdTLP19 enhances the resistance of grape fruits to pathogenic bacteria after silencing. The VdTLP19 gene provided by the present application can improve the resistance of grape to anthracnose after silencing, and provides a theoretical basis for grape anthracnose resistance breeding.

The invention provides a high-incidence disease gene analysis and prediction method and system and a storage medium, and the method provides a comprehensive data basis through multi-dimensional data fusion, accurately captures disease associated features through multi-level feature mining, improves the prediction precision through an integrated prediction model driven by causal invariance, guarantees the generalization ability through dual verification, and improves the prediction efficiency. The method not only enhances the prediction reliability, but also has strong biological interpretation, and has an efficient auxiliary effect on the risk screening work of high-incidence diseases of old people.

The invention relates to the field of plant genetic engineering, and discloses a corn sheath blight disease-resistant gene GRMZM2G096585 and application thereof, and the corn sheath blight disease-resistant gene GRMZM2G096585 comprises a cDNA molecule composed of a nucleotide sequence shown in SEQ ID No.1, a nucleotide sequence shown in SEQ ID No.2, a nucleotide sequence shown in SEQ ID No.3, a nucleotide sequence shown in SEQ ID No.4, a nucleotide sequence shown in SEQ ID No.5, a nucleotide sequence shown in SEQ ID The CDS molecule is composed of a nucleotide sequence as shown in SEQ ID No.2; the nucleotide molecule has 90% or more of identity with the nucleotide sequence as shown in SEQ ID No.1 or SEQ ID No.2 and is used for coding protein with the same function as the nucleotide sequence as shown in SEQ ID No.1 or SEQ ID No.2. A DNA fragment of a complete coding segment of a cloned anti-disease gene GRMZM2G096585 is separated from corn, the capacity of the corn for preventing sheath blight is improved by utilizing the DNA fragment, and the GRMZM2G096585 gene is knocked out by utilizing a CRISPR-Cas9 gene editing technology, so that the resistance of the corn to the sheath blight is obviously weakened.