186 results about "Expression gene" patented technology

Provided herein are recombinant microorganisms that express a subject polypeptide. Microorganisms can comprise an expression construct comprising a flagellin promoter operatively linked with a heterologous nucleotide sequence encoding the subject polypeptide. The flagellin promoter sequence can comprise a genetic modification that reduces CsrA inhibition of translation. Microorganisms also can comprise a genetic modification that reduces FlgM inhibition of SigD initiation of transcription. The target polypeptide can be an aldehyde dehydrogenase. Such microorganisms are useful in the treatment of alcohol hangover.

The present application belongs to the field of functional substance research, and particularly relates to a nutritional composition for promoting brain development and use thereof. The nutritional composition provided by the present application comprises essential active ingredients shown in (i) and (ii) as follows: (i) lysophosphatidylethanolamine; (ii) 3'-SL; wherein the essential active ingredient shown in (i) at least comprises lysophosphatidylethanolamine with a fatty acid chain with a length of 14-22 carbon atoms connected at the sn-1 position, and in the nutritional composition, the mass ratio of the essential active ingredient shown in (i) to the essential active ingredient shown in (ii) is 1:(1-450). The combination of lysophosphatidylethanolamine and breast milk oligosaccharide 3'-SL can effectively promote the overall development of the body, especially the brain development, and improve the relative gene expression amount of brain-derived neurotrophic factor and glial cell-derived neurotrophic factor in brain tissue, thereby effectively assisting the improvement of cognitive ability.

This invention belongs to the field of bioinformatics and relates to a single-cell trajectory inference method based on adaptive feature selection. First, an initial gene expression matrix is ​​obtained through data preprocessing and screening for highly variable genes. Second, a two-dimensional evaluation strategy is employed to calculate the scores of highly variable genes with gene expression variability and the trajectory importance score related to differentiation trajectories. Then, a dynamic weight fusion mechanism is introduced, adaptively adjusting the fusion weights of the two scores based on performance feedback, and highlighting key genes through nonlinear enhancement. Next, an intelligent inflection point detection algorithm adaptively determines the optimal number of features. Finally, trajectory inference is performed based on a variational autoencoder model reconstructed from feature subsets, and a performance-driven feature selection closed loop is formed through multiple rounds of iterative optimization. This invention achieves high-precision, adaptive single-cell trajectory inference, solving the technical problems of single feature selection and fixed weights in traditional methods.

This invention relates to the field of biomedical technology, specifically to the application of 6-ketolithocholic acid in the preparation of drugs that reduce fat deposition. The 6-ketolithocholic acid in this invention inhibits the accumulation of lipid droplets in adipocytes and suppresses gene expression in the PPARγ pathway involved in lipid synthesis, thereby achieving the function of reducing fat deposition. The structural formula of the 6-ketolithocholic acid is: [Insert structural formula here].

This invention discloses the application of the apple MdWRI1 gene in regulating the wax content of apple fruits and leaves, belonging to the field of plant genetic engineering technology. This invention isolates an MdWRI1 gene with high expression levels in apple varieties with high wax content, its nucleotide sequence of which is shown in SEQ ID NO.1. Subcellular localization revealed that the transcription factor expressing the MdWRI1 gene is located in the cell nucleus. Experimental results show that overexpression of the MdWRI1 gene can significantly increase the wax content of apple fruits and leaves by promoting wax biosynthesis, indicating that the MdWRI1 gene plays a key role in regulating the wax content of apple fruits and leaves. This invention provides an efficient and rapid approach for apple breeding, provides genetic material for improving apple quality, and has broad application prospects in improving the economic and ecological benefits of apple cultivation.

This invention provides a method and apparatus for splitting single-cell mixed sample sequencing data, relating to the field of biotechnology. The splitting method includes: capturing and sequencing single-cell suspensions using a single-cell platform; then performing reference genome alignment, cell identification, and gene expression level quantification on the sequencing data using Cellranger; splitting the cell data identified in step a into two groups of cell data for different sexes based on SNP locus information from the 1000 Genomes Project; and distinguishing the two groups of cell data from male or female samples based on the proportion of sex-specific genes expressed in the two groups of cell data. This splitting method eliminates the need for additional experimental operations such as protein labeling and genome sequencing, and can provide accurate and reliable data splitting even when individual SNP information is unavailable.

This application provides a method for predicting the fatigue life of turbine blades based on adaptive gene expression programming. The method includes: establishing a finite element model of the turbine blade and determining key parameters affecting its fatigue life; extracting sample points, calculating fatigue life using the finite element model to form an initial dataset, which is then divided into a training set and a validation set; performing adaptive gene expression initialization programming, mutating and crossovering the population, and selecting and iterating based on fitness to obtain a surrogate model; evaluating the accuracy of the surrogate model; if the accuracy does not meet the requirements, adding the worst-performing points from the validation set to the training set for retraining until the accuracy meets the requirements; and using the obtained surrogate model to predict the expected value and standard deviation of the upper and lower bounds of the fatigue life. This method aims to handle complex, uncertain, coupled problems and improve the efficiency of fatigue life prediction while ensuring computational accuracy.

This invention provides an anti-CD16 antibody, the amino acid sequence of which is selected from SEQ ID NO. 1-3 in the heavy chain CDR region and from SEQ ID NO. 4-6 in the light chain CDR region. This invention belongs to the field of antibodies. It provides a protein sequence of an anti-human CD16 mouse monoclonal antibody, and designs a gene expression base sequence based on the sequenced protein sequence. A stable CHO cell line for recombinant expression of this gene is established. The purified antibody can specifically recognize the human CD16 antigen, and the antibody expression yield is much higher than that of antibodies prepared using traditional hybridoma cells. Furthermore, by replacing mouse IgG1 with rabbit IgG while retaining the variable region, a stable CHO cell line for recombinant expression of the rabbit monoclonal antibody is established. The purified antibody maintains its specific recognition of the human CD16 antigen.

The application belongs to the technical field of molecular plant pathology, and particularly relates to a peanut disease-resistant gene AhNHL24 and application thereof. Through whole genome identification and bioinformatics analysis, 45 NHL family genes (AhNHL) are identified in peanuts, and gene expression analysis shows that most of the AhNHL genes can respond to the induction of biological stress and abiotic stress. Gene disease resistance identification finds that transient overexpression of AhNHL14, AhNHL24 and AhNHL31 can significantly improve the resistance of tobacco and peanuts to Pseudomonas solanacearum, and the disease resistance of AhNHL24 is the strongest. Through transgenic tobacco heterologous overexpression of AhNHL24 and inoculation experiments, it is shown that the peanut and tobacco plants overexpressing AhNHL24 not only have significantly enhanced resistance to Pseudomonas solanacearum, but also have significantly enhanced resistance to Sclerotium rofsii. The application provides an important basis for the cultivation of plant (peanut and tobacco, etc.) broad-spectrum disease-resistant varieties.

The application discloses a liver-targeted gene editing system based on endogenous promoter hijacking and application, and belongs to the field of biological medicine. The system is composed of an LNP-wrapped modified Cas nuclease mRNA (first component) and a promoter-free viral vector carrying a therapeutic transgene donor (second component). The system uses LNP to realize the transient burst expression of Cas nuclease in the liver, mediates the generation of double-strand breaks at the site of endogenous high-expression genes, induces the site-specific integration of therapeutic transgenes without exogenous promoters, and hijacks the expression driven by endogenous promoters by using the splice acceptor (SA) mechanism. The application solves the risk of carcinogenesis caused by random integration of exogenous strong promoters and the immunotoxicity of long-term expression of nucleases through a "double safety lock" design. Experimental results prove that the system has high editing efficiency, long-term stability and no off-target, and can be used for various liver-derived metabolic diseases such as hemophilia, hypercholesterolemia and the like.

The present application provides a kind of siRNA for inhibiting angiotensinogen gene expression and its application.Specifically, the present application provides siRNA for inhibiting angiotensinogen (AGT) gene expression, siRNA conjugate, and pharmaceutical composition thereof, and method for reducing AGT gene expression using the siRNA, siRNA conjugate, and pharmaceutical composition thereof.The siRNA, siRNA conjugate, and pharmaceutical composition thereof of the present application can be used for preventing and / or treating AGT gene-mediated diseases or disorders.

Provided herein are multi-chain chimeric polypeptides and use thereof in modulating circadian clock gene expression in a subject.

The application discloses a corn kernel size related protein SSRP1 and application thereof. The technical problem solved is how to regulate the size of corn kernels. Specifically disclosed is the application of a protein, a substance for regulating the expression of a coding gene of the protein, or a substance for regulating the activity or content of the protein in regulating the size of plant kernels and / or preparing a product for regulating the size of plant kernels and / or plant breeding and / or preparing a plant breeding product, the protein being a protein as shown in sequence 3 in the sequence listing. The application provides a new genetic resource for the study of the size of plant kernels, in particular corn kernels, and will play an important role in the application in the field of corn seed production and breeding.

The present application relates to the technical field of artificial intelligence, and particularly relates to an individualized medication prediction method based on artificial intelligence, comprising: acquiring a plurality of standard historical medical data sets; acquiring metabolic capacity scores and drug metabolism rates corresponding to all data groups; training to obtain relationship models corresponding to all standard historical medical data sets; acquiring liver metabolism parameters, gene expression parameters and each drug name in a treatment scheme of a patient to obtain a drug metabolism rate; and determining a corresponding prediction drug amount determination method according to whether the drug types in the treatment scheme have a competitive relationship. The present application integrates drug metabolism enzyme-related gene expression and liver metabolism function, simultaneously incorporates drug absorption competition and metabolism enzyme competition when drugs are used in combination, corrects the final output prediction drug amount when drugs are used in combination, so that the model is more suitable for the actual drug use scene, and the accuracy of the prediction result is increased.

The application provides a prostate cancer biochemical recurrence prognosis risk prediction model based on fatty acid metabolism and cancer cell stemness genes and a construction method thereof, wherein the construction method comprises the following steps: S1: data collection: obtaining prostate cancer sample transcriptome data with biochemical recurrence information from a database, and dividing the data into a model training set and a model test set; S2: stemness score analysis; S3: fatty acid metabolism score analysis; S4: based on the analysis results of S2 and S3, identifying a co-expression gene module related to fatty acid metabolism and stemness characteristics in prostate cancer by a co-expression similarity algorithm and a hierarchical clustering algorithm, and obtaining a fatty acid metabolism and stemness-related gene set; S5: constructing a prostate cancer BCR prognosis risk prediction model; S6: constructing a nomogram model; S7: extracting RNA of a to-be-tested sample, constructing a cDNA library, quantifying the expression of the above genes, and calculating the prognosis risk level of prostate cancer through the expression level.

The present invention discloses the use of Avn Anthramides C (Avn C) as an inducer of chondrocytic differentiation in Mesenchymal Stem Cells (MSCs), providing a promising approach for regenerative cartilage therapy. By employing Avn C treatment, MSCs exhibit enhanced chondrocytic differentiation and elevated expression of key specific chondrogenic extracellular matrix (ECM) factors, notably Collagen Type II (COL2A1). Furthermore, when Avn C is used in combination with Chondroitin Sulfate (CS), a synergistic effect is observed, leading to upregulation of the transcriptional activity state of SOX9, a key regulator of chondrogenesis. The disclosed invention shows significant improvements in mRNA gene expression (ACAN, LRP1, SOX9), cellular protein levels (COL2A1, SOX9, LRP1), and functional outcomes, as evidenced by the secretion of extracellular matrix proteins (FSTL-1, BGH3, CO1A1, CO1A2, and CO3A1).

This invention discloses the application of 12S-HHT in the preparation of drugs for the prevention and / or treatment of cardiovascular diseases. The study found that after administration, 12S-HHT acts as a signaling molecule in vivo, activating the PPARδ signaling pathway and regulating the expression of a series of downstream genes related to energy metabolism and mitochondrial function, thereby achieving a therapeutic effect. Mechanism of action: By binding to and activating PPARδ, it upregulates its downstream target genes. ANGPTL1 It promotes fatty acid oxidation and enhances the "metabolic flexibility" of myocardial cells.

This invention discloses a gene regulation inference method guided by topological data analysis and gene network embedding. It combines TDA and GNN to enhance the inference capability of gene regulation networks. By capturing the topological structure of the gene regulation network graph through TDA features, the model's ability to model gene expression is enhanced. The TDA features and GAT embedding representations are effectively integrated through gating fusion. This fusion mechanism enables the model to adaptively adjust node embeddings based on global topological characteristics, which not only improves the accuracy of gene interaction representation but may also enhance the accuracy of regulatory relationship prediction. The traditional GAT architecture is extended through a four-layer graph attention mechanism. Each layer uses residual connections to alleviate the gradient vanishing problem and improve training stability. In addition, independent multilayer perceptron branches are designed for transcription factors and target gene embeddings. This deep architecture can achieve more expressive feature transformations and capture subtle patterns in gene regulation networks.

The application provides a kind of regulation IGFBP5 The application belongs to the technical field of gene regulation, and provides an enhancer for regulating the proliferation and adipogenic differentiation of chicken intramuscular preadipocytes, which includes one or more of enhancer EN1, enhancer EN2 and enhancer EN3, the nucleotide sequence of the enhancer EN1 is shown as SEQ ID NO. 2; the nucleotide sequence of the enhancer EN2 is shown as SEQ ID NO. 1; and the nucleotide sequence of the enhancer EN3 is shown as SEQ ID NO. 3. The enhancer can significantly enhance IGFBP5 gene expression and promote the proliferation and adipogenic differentiation of chicken intramuscular preadipocytes.

The application discloses a tumor intervention target and application thereof, and the tumor intervention target is a C9ORF50 gene, and a gene sequence of the C9ORF50 gene is shown as SEQ ID NO. 1. The application firstly finds that down-regulation of C9ORF50 gene expression is used for treating colorectal cancer, liver cancer, pancreatic cancer, breast cancer and melanoma, and has advantages of targetability, good treatment effect and the like.

This invention belongs to the field of agricultural biotechnology, specifically relating to a type of sisal. DREB Genes and their application in improving plant cold resistance. This invention provides sisal. DREB The gene expression level increased significantly after low-temperature stress, indicating a close relationship between its expression and the response of sisal to low-temperature stress. The study found that transgenic methods can significantly improve the expression level of sisal. DREB Genes were overexpressed, along with sisal DREB Increased gene expression levels led to improved cold resistance in transgenic Arabidopsis thaliana. Overexpression of sisal in plants also improved cold resistance. DREB The discovery that genes can enhance plant cold resistance can be used to breed new varieties or seedlings of cold-resistant plants, providing a theoretical basis and genetic resources for genetic breeding, which is of great significance to agricultural production.

This invention discloses the application of SDG711 protein or substances regulating its expression in regulating the stress resistance of rice. This invention belongs to the field of biotechnology. The protein SDG711, or substances regulating the expression of the gene encoding said protein, or substances regulating the activity or content of said protein, can be applied in any of the following ways: 1) in regulating plant stress resistance; 2) in preparing products that regulate plant stress resistance; 3) in cultivating plants with altered stress resistance; 4) in preparing products that cultivate plants with altered stress resistance; 5) in plant breeding. The SDG711 protein and its encoding gene play an important role in the salt and heat tolerance of plants, and will have broad application prospects and market potential in the agricultural field.

This invention belongs to the field of biomedicine and relates to the application of a detection reagent for a marker of mixed connective tissue diseases. This invention discloses... MEF2C Genes can serve as biomarkers for mixed connective tissue disease; they are found in the peripheral blood of patients with mixed connective tissue disease. MEF2C Gene expression levels were significantly higher in the group than in the healthy group. This invention provides a detection reagent for a mixed connective tissue disease marker, comprising an upstream primer with the nucleotide sequence shown in SEQ ID NO.3 and a downstream primer with the nucleotide sequence shown in SEQ ID NO.4, which can detect... MEF2C Gene expression levels, which can then be used to develop products for the early diagnosis of mixed connective tissue diseases.

This invention relates to a method for assessing the quality of single-cell sequencing data, which addresses the current difficulty in evaluating the differences in data quality after applying different single-cell sequencing data imputation algorithms without the participation of real samples. The method includes the following steps: First, two single-cell sequencing data imputation algorithms are prepared. Then, a synthesis matrix based on the statistical characteristics of real data is created and normalized preprocessed. The normalized gene expression matrix is ​​input into the two imputation algorithms to be evaluated, and the output feature vectors are extracted to set an optimization function. The gene expression matrix is ​​optimized using the optimization function, and then the optimized matrix is ​​denormalized to obtain the imputed gene expression profile. Finally, the obtained gene expression profile is input into the two algorithms to be evaluated to obtain two sets of predicted feature vectors. The data quality difference value can be calculated using these feature vectors. This invention can accurately assess the data quality difference between two data imputation algorithms without the participation of real samples.

The present invention provides constructs comprising a transgene operably linked to a novel tissue-specific maize promoter selected from ris2, Ihcb10, nas2, aa2m, and expb14. Methods of using the constructs to drive tissue-specific transgene expression in a maize plant are provided. Maize plants comprising the constructs or made by the methods are also provided.

This invention discloses the application of LNA1 protein and related biological materials in regulating the number of leaves on the ear and yield of maize. The invention first involves overexpression of LNA1 protein in wild-type maize. lna1 , received lna1 Gene-modified maize and statistical analysis of its leaf number revealed that overexpression... lna1 It can increase the number of leaves on the corn ear and the total number of leaves. To further verify the function of LNA1, this invention knocked out LNA1 in wild-type corn. lna1, get lna1 Knockout corn and statistical analysis of its leaf number and plant height revealed that: lna1 It can reduce the number of leaves on the corn ear and the plant height. Furthermore, this invention has demonstrated improved efficiency by constructing NIL-Popcorn and NIL-MS71. lna1 Gene expression levels can increase maize yield. These results indicate that the LNA1 protein and related biological materials can regulate leaf number, yield, and plant height, and will play an important role in breeding high-yielding maize varieties.

The application discloses a new use of a BET inhibitor YD-851 or a pharmaceutically acceptable salt thereof in the preparation of a drug for treating pulmonary fibrosis. The application finds that YD-851 can inhibit the expression of BRD4 and fibrosis-related markers in pulmonary fibrosis tissues, reduce the structural damage of bleomycin-induced mouse lung tissues, inflammatory cell infiltration and fibrosis pathological changes, and improve lung function damage. Experimental results show that YD-851 can reduce the pulmonary fibrosis score, inflammation score and area ratio of consolidation, improve the lung imaging abnormalities, and down-regulate the expression of fibrosis-related genes such as Col1a1, Fn1 and Acta2. It is shown that YD-851 has the effect of treating pulmonary fibrosis, and can be used for preparing a drug for treating pulmonary fibrosis, and a new use of YD-851 is developed.

The application relates to a spatial transcriptome spatial domain identification method and system based on double contrast learning. The method comprises the following steps: performing Gaussian smoothing processing on gene expression data to obtain smoothed gene expression data; constructing an initial adjacency matrix based on spatial coordinate data, performing edge pruning to obtain an optimized adjacency matrix; inputting the smoothed gene expression data and the optimized adjacency matrix into a graph convolution network encoder to obtain low-dimensional latent features and reconstruction features, and calculating a reconstruction loss; inputting the low-dimensional latent features into a multi-branch multi-layer perception fusion module to obtain enhanced features; constructing a regional contrast learning task, calculating a regional contrast loss, constructing a topological contrast learning task, and calculating a topological contrast loss; optimizing model parameters through a total loss, using an optimized model to perform spatial domain identification, and obtaining a spatial domain identification result. The spatial domain identification accuracy can be improved and the cost can be reduced.

This invention relates to the field of biotechnology and discloses a method for regulating the angle of fruiting branches in upland cotton. GhPDF1 Genes and their applications, the aforementioned GhPDF1 The coding region sequence of the gene is shown in SEQ ID NO:1; GhPDF1 The gene ID is GH_D04G0386.1 ;A sort of GhPDF1 The application of genes in regulating the fruiting branch angle of upland cotton, either for regulating the fruiting branch angle of upland cotton or for breeding upland cotton varieties with a compact plant type, is described. GhPDF1 Genes regulate the fruiting branch angle of upland cotton by modulating their expression levels in upland cotton cells. This invention provides a precise genetic modification pathway, demonstrating the ability to inhibit [the growth of] upland cotton fruiting branches using VIGS technology. GhPDF1 Gene expression can significantly increase the angle between cotton fruiting branches, making the plant type looser, providing a clear gene target and effective technical means for using genetic engineering technology to cultivate new cotton varieties with compact plant type.

This provides a molecular diagnostic tool useful for the efficient and accurate characterization of the discriminative and functional properties of iPSC-derived dopaminergic neurons. [Solution] A computer-based method for identifying determined dopaminergic progenitor cells within an in vitro population of neural progenitor cells is provided, comprising: receiving a test dataset containing data such as gene expression profile information relating to an in vitro population of neural progenitor cells; querying a gene expression reference database and comparing the test dataset with the gene expression reference database, wherein the gene expression reference database contains gene expression profile information of the desired determined dopaminergic progenitor cells; and outputting a computer-calculated label classification that includes an indication of whether or not the in vitro population of neural progenitor cells contains the determined dopaminergic progenitor cells.