168 results about "Gene screening" patented technology

An ensemble of predictive models that elucidate how cancer mutations impact the response to common replication stress-inducing (RSi) agents. The models implement recent advances in deep learning to facilitate multi-drug prediction and mechanistic interpretation. Initial studies in tumor cells identify 41 molecular assemblies that integrate alterations in hundreds of genes for accurate drug response prediction. These cover roles in transcription, repair, cell-cycle checkpoints, and growth signaling, of which 30 are shown by loss-of-function genetic screens to regulate drug sensitivity or replication restart. The model translates to cisplatin-treated cervical cancer patients, highlighting an RTK (receptor tyrosine kinase)-JAK-STAT assembly governing resistance. This invention defines a compendium of mechanisms by which mutations affect therapeutic responses, with implications for precision medicine.

The invention provides a glycolipid metabolism related gene-based endometrial cancer prognosis prediction model construction method, which comprises the following steps of 1, acquiring data containing gene expression and clinical information, and preprocessing the data; 2, differential expression and prognosis gene screening; 3, constructing a prognosis model; 4, analyzing model gene enrichment; 5, evaluating the immunocompetence of the two GLRG related dangerous groups; and step 6, statistical analysis. According to the technical scheme, more accurate and reliable prognosis evaluation is provided for endometrial cancer by comprehensively analyzing multi-dimensional information such as gene expression, immune characteristics, mutation characteristics and drug sensitivity.

The invention discloses an automatic grading and grouping system and method for boars, and relates to the technical field of boar breeding, and the system constructs a multi-modal biological characteristic data set by collecting gene, semen quality, health examination and growth performance data. Secondly, extracting gene features by using a convolutional neural network, calculating a gene screening coefficient JYX, and classifying the gene screening coefficient JYX into an A class level and a B class level through a first threshold Q1; then, semen quality analysis is conducted on the A-class boars, a semen quality screening coefficient ZLX is calculated, and the A-class boars are divided into the A1-class boars and the A2-class boars through a second threshold Q2; and when the A2-class boar triggers health early warning, further evaluating a health index JCZ, and subdividing the health index JCZ into A21, A22 and A23 classes according to a third threshold Q3. And finally, grouping the boars according to the class levels of the boars, and formulating an accurate feeding strategy to optimize the reproductive performance and improve the breeding benefits.

This invention discloses a protein and gene related to resistance to neonicotinoid acetylcholine receptor competitive regulator insecticides in peach aphids, and their applications. It relates to the field of screening technology for neonicotinoid acetylcholine receptor competitive regulator insecticides in peach aphids. This invention obtains and clarifies an MpeABCC_4G protein and its encoding gene that is closely related to the resistance of peach aphids to neonicotinoid acetylcholine receptor competitive regulator insecticides. By knocking down the expression of MpeABCC_4G in resistant peach aphids using RNAi technology, the control efficacy of neonicotinoid acetylcholine receptor competitive regulator insecticides is significantly improved.

The invention discloses a double-gene screening expression vector of a CHO monoclonal cell strain and a preparation method and application of the double-gene screening expression vector, the double-gene screening expression vector comprises a glutamyl synthetase GS screening gene and an antibiotic screening gene, the antibiotic screening gene is subjected to weakening expression treatment, that is, an IRES sequence exists in front of the antibiotic screening gene, and an IRES sequence exists in front of the antibiotic screening gene. A target expression gene and an antibiotic screening marker gene share one set of promoter and terminator, and when the double-gene screening expression vector disclosed by the invention is used for screening CHO monoclonal cell strains, the screening efficiency can be remarkably improved, the screening time is saved, and the target gene has high expression quantity.

The invention discloses a spatial transcriptome data analysis method based on artificial intelligence, and belongs to the technical field of spatial transcriptomics data analysis. Firstly, self-adaptive normalization and hypervariant gene screening preprocessing are carried out on original gene expression data; then constructing a hierarchical map integrating spatial proximity and transcription similarity, and ensuring the connectivity and robustness of the map through a dynamic radius pruning and neighborhood inheritance strategy; dividing positive and negative sample sets based on the atlas, and inputting a type modulation contrast graph auto-encoder for training; and finally, spatial domain identification and downstream function analysis are completed based on the low-dimensional potential representation or reconstructed gene expression matrix output by the model. The method effectively improves the accuracy and stability of spatial domain recognition, adapts to multi-technology-source data, enhances the biological interpretability of model output, and can be widely applied to biomedical scenes such as tumor microenvironment analysis and organ development research.

The invention provides a phytophagous insect food web DNA molecular data automatic analysis method and device based on high-pass sequencing and a storage medium, and relates to the field of molecular biological information detection.The method comprises the steps that sequence splicing, screening and species identification are carried out on obtained double-end sequencing data and local and downloaded DNA databases through an automatic system, and a DNA molecular database is obtained; generating an Excel table containing species names and a DNA bar code sequence file; performing comparative analysis on the double-end sequencing data by adopting matching splicing, and generating a contiguous group sequence based on a local DNA database; if the matching splicing cannot generate the effective sequence, generating a new gene file by adopting non-parameter splicing, and performing gene annotation in combination with the downloaded DNA database; all analysis steps are connected in series through standardized parameter input, including gene screening through threshold values and generation of insect recipe identification results. According to the method, the sequencing data can be subjected to full-process automatic analysis through a one-key command, and the efficiency of food web authentication high-throughput sequencing data processing is greatly improved.

The invention provides a multi-element machine learning model-based cross-species lung disease characteristic gene screening method and system, an electronic system and a storage device. The method comprises the following steps of: acquiring single cell / transcriptome data related to mouse lung diseases from a public database and preprocessing the single cell / transcriptome data; training the model by adopting six machine learning algorithms and outputting a gene importance score; calculating the weight according to the model performance and normalizing the score; and integrating the cross-species scores through a weighted fusion formula, and outputting a feature gene list and a visual report. The system comprises a data acquisition and preprocessing module, a multi-element machine learning model training module, a weight calculation and normalization module, a cross-species comprehensive scoring module and a result output module. The screening accuracy, stability and generalization ability are improved through multi-algorithm integration and cross-species fusion, and the method can be widely applied to the fields of mechanism research of lung diseases, diagnosis marker development and drug target verification.

The invention discloses a carbapenemase OXA-58-like positive plasmid and a host bacterium propagation risk assessment method thereof, which are used for carrying out integrated assessment on the plasmid and the host bacterium in three dimensions of drug resistance, pathogenic potential and propagation potential, and carrying out comprehensive risk grading and classification by taking the OXA-58-like positive plasmid and the host bacterium thereof as a plasmid-host complex. The invention develops a set of OXA-58-like gene screening and systematic analysis process based on a public plasmid database aiming at the defects that the existing research of the OXA-58-like gene is mostly limited to a single species or a local sample and a standardized automatic analysis method is lacked. According to the method, all OXA-58-like gene positive plasmids in a database can be subjected to unified and efficient drug-resistant gene mining, the association rule between the drug-resistant genes and plasmid pedigree, host strains and geographical distribution is systematically disclosed, and important technical support is provided for drug resistance propagation monitoring and risk assessment.

The invention discloses a mulberry important character QTL fine positioning method based on a chromosome segment replacement line, and relates to the technical field of molecular breeding. Comprising the following steps: S1, constructing a genotype-phenotype incidence matrix: screening backcross populations through high-heterozygosity parent hybridization and multi-generation backcross, and marking genomes of the screened backcross populations through targeted sequencing and recombination hot spots; s2, phenotype determination modeling: performing sample collection according to a test plant, and obtaining a hybrid model according to the environmental effect of the test plant and a covered CSSL line; and S3, gene screening: carrying out hub gene screening through the constructed co-expression network model and the hybrid model. According to the method, through multi-generation backcrossing, targeted sequencing and recombination hotspot analysis, dynamic labeling is performed on the genome, and a stepped coverage CSSL library is constructed, so that a QTL interval is effectively compressed, and the problem of fuzzy positioning caused by limited recombination events of a traditional F2 or RIL population is solved.

The invention discloses an adversity high-photosynthetic-efficiency transcription factor screening method based on deep learning, and relates to the technical field of biological information analys.The method comprises the steps that rice multi-modal stress response data is obtained and preprocessed, and preprocessed gene expression data is obtained; carrying out differential expression gene screening and co-expression network analysis on the preprocessed gene expression data, extracting multi-modal features, and fusing the multi-modal features to generate a multi-modal input feature matrix; constructing a double-layer deep learning model, training the double-layer deep learning model by using the multi-modal input feature matrix, and respectively outputting a regulation and control relationship matrix of transcription factors and target genes and a regulation and control relationship matrix of transcription factors and target pathways; and according to an output result, calculating a comprehensive score of each transcription factor through a multi-dimensional scoring system, and screening out the stress high-photosynthetic-efficiency transcription factor according to a predetermined screening standard.

The invention discloses an organizational structure division method for spatial transcriptome data, which comprises the following steps of: firstly, performing coordinate calibration, hypervariable gene screening and gene expression standardization preprocessing on original spatial transcriptome data, and constructing a standardized data set containing a spatial adjacency relation and a standardized gene expression profile; an initial hyperedge is generated based on a k-nearest neighbor algorithm, cross-domain noise is dynamically eliminated in combination with a hyperedge decomposition algorithm guided by gene expression, and a hypergraph structure with double constraints of spatial proximity and gene expression homogeneity is formed; designing an auto-encoder architecture comprising a hypergraph attention layer, compressing high-dimensional data to a low-dimensional potential space, reconstructing a loss optimization architecture by using gene expression, and generating low-dimensional representation with topology retentivity and function consistency; and finally, organizational structure division is carried out on the low-dimensional representation clustering based on a Gaussian mixture model. According to the method, the spatial continuity of organization structure division is remarkably improved, and a semantic gap of cross-resolution data is effectively bridged.

The invention provides a kit for detecting Leber hereditary optic neuropathy and application, and relates to the technical field of biology. The kit comprises: (1) an alkaline lysis solution for releasing mitochondrial DNA in a blood sample; (2) an RPA isothermal amplification reaction system for amplifying the target sequence, wherein the RPA isothermal amplification reaction system comprises an RPA amplification primer; (3) a CRISPR-Cas12a (Clustered Regularly Interspaced Short Palindromic Repeats / Cas12a) system for carrying out high-specificity cutting on a mutation site, wherein the CRISPR-Cas12a system comprises crRNA (Complementary Ribonucleic Acid); and (4) lateral flow chromatography test paper for realizing visual detection. By simplifying the detection process, the kit greatly improves the accessibility of gene diagnosis, so that the gene screening technology can break through the limitation of traditional equipment and is popularized to a wider application scene, and the development of the gene diagnosis technology in the direction of portability, low cost and high precision is promoted. The innovation not only brings a convenient detection tool for gene mutation screening, but also lays a foundation for future gene therapy and personalized medical treatment.

The present invention discloses a whole-genome low-density chip for the selection of high-yield and long-lived traits in dairy cows and its application. The present invention first discloses a whole-genome low-density chip for the selection of high-yield and long-lived traits in dairy cows, comprising 10,000 SNP sites, with ARS-UCD1.2 as the reference genome, and the information of the 10,000 SNP sites is shown in Table 6. The present invention further discloses the application of the above-mentioned whole-genome low-density chip. The 10,000 SNP sites contained in the whole-genome low-density chip of the present invention are relatively evenly distributed on the chromosomes, covering the whole genome and important trait sites, which can effectively improve the accuracy of longevity and milk production selection, and can be applied to gene screening, gene positioning, marker-assisted breeding and other directions. In addition, the detection cost of the low-density chip of the present invention is greatly reduced, and it is more suitable for use in commercial dairy farms, which is of great significance to dairy cow breeding and dairy cow population improvement.

This invention relates to soybean pod-resistant trait loci. qPD08‑1 This invention relates to the soybean pod-bomb resistance gene locus and its applications, belonging to the field of plant molecular biotechnology. qPD08‑1 Located in soybeans Glyma The reference genome of .Wm82.a2.v1, located between 35983663 and 36106921 bp on chromosome 8, has a total physical interval length of 123.258 kb. The molecular marker detection method of this invention can be used for identification of soybean pod-resistant germplasm resources, screening and functional studies of pod-resistant genes, marker-assisted selection breeding for pod-resistant soybeans, and natural resource applications. It features convenient detection, stable amplification products, and high specificity, helping to broaden the sources of superior breeding parents and improve the efficiency of soybean breeding selection.

The invention belongs to the technical field of gene engineering, and discloses application of an F-box protein gene OsFBX235 in improvement of bacterial blight resistance. The invention specifically discloses an application of knocking out OsFBX235 gene in improving the bacterial blight resistance of rice or cultivating a bacterial blight resistant rice variety. The F-box protein coding gene OsFBX235 is separated and cloned from rice, and the gene is proved to participate in the defensive reaction of the rice to the bacterial blight for the first time through functional analysis, and is an important negative regulation factor for regulating the resistance of the rice bacterial blight. The gene OsFBX235 is knocked out through target gene screening in combination with a CRISPR / Cas9 technology, and the importance of the gene OsFBX235 on resistance regulation and control of the rice bacterial blight is proved. Meanwhile, knockout of the gene can be used for creating rice germplasm resources with high bacterial leaf blight resistance and can be applied to breeding of new varieties with the bacterial leaf blight resistance of the rice.

The present invention belongs to the field of biotechnology, and discloses a gene for enhancing the hardness of tomato fruits and its application. Specifically, it discloses the application of the Solyc02g077940 gene in regulating the hardness of tomato fruits, and the amino acid sequence of the Solyc02g077940 gene is shown in SEQ ID NO: 1. The present invention discloses for the first time the application of Solyc02g077940 in regulating the hardness of tomato fruits. By screening target genes and combining with the CRISPR / Cas9 technology to knockout / knockdown Solyc02g077940, it proves the importance of Solyc02g077940 in enhancing the hardness of tomato fruits.

The invention discloses a fruit tree continuous cropping obstacle soil biocontrol bacterium screening rapid evaluation system, which comprises gene screening, activity screening and a field titer prediction model, and the field titer prediction model comprises a feature engineering module, a multi-modal fusion module, a double-branch prediction module, a loss function, data enhancement and interpretability analysis. According to the method, a three-level system of gene targeting, functional verification and intelligent prediction is used for replacing traditional trial and error screening, the period is shortened by 67%, the yield of high-quality strains is increased by 30 times, an efficient technical engine is provided for successive cropping obstacle treatment, field titer prediction is accurate and reliable, and the problem that the laboratory and field effect is disjointed is solved; the screening period is shortened from traditional 6 months to 8 weeks, the field verification cost is reduced by 70%, and the cost and the period are greatly reduced. The evaluation system is suitable for continuous cropping soil of fruit trees such as apples and cherries.

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.

The utility model relates to the field of medical detection, provides a sample storage and treatment device for gene detection, and aims to solve the problems of inconvenience in storage, easiness in omission and risk of pollution of DNA (deoxyribonucleic acid) samples during treatment in the prior art, and the sample storage and treatment device comprises a shell, a puncher, a punching die and a storage positioning mechanism, the punching die is arranged on the shell; the storing and positioning mechanism is detachably connected to the punching die and used for storing and positioning the dried blood spot collection cards during punching. The storage positioning mechanism can store a plurality of dried blood spot collection cards after sampling and can also perform positioning; when the blood spot needs to be punched and cut out, the storage positioning mechanism is directly installed on the shell, and the puncher is used for punching. And through the matched design of the storage positioning mechanism and the punching die, the dried blood spot collection cards do not need to be sequentially taken out for punching during sample punching treatment, pollution to dried blood spot collection card samples for Rh blood group gene detection is effectively reduced, and more convenience is achieved. The method is especially suitable for large-scale Rh blood group gene screening.

The invention belongs to the technical field of biomolecular markers, and particularly relates to a cross-animal general skeleton-derived hematopoietic stem cell marker gene set and a screening method thereof. According to the invention, a bone-derived hematopoietic stem cell marker gene set universal across animal categories is constructed for the first time, and the bone-derived hematopoietic stem cell marker gene set comprises at least five of Cdc42, Cbx, Tfam, Denr, Mcts1, Ak2, Ruvbl, Ahcy, Nna and Vdac; the hematopoietic stem cell marker gene set is obtained through cross-species homologous gene screening, the defect that a traditional vertebrate marker has no orthohomology in invertebrates is overcome, accurate recognition of HSC in shells is achieved, the hematopoietic stem cell marker gene set has species universality and cell specificity, the immune state of aquatic animals can be evaluated, disease-resistant breeding can be guided, and the application prospect is wide. And molecular evidence is provided for analyzing an evolution path of a hematopoietic system from invertebrates to vertebrates.

The application provides an analysis method, device and equipment based on single-cell transcriptome sequencing data, which comprises the following steps: performing quality control, downstream analysis and visual display on single-cell transcriptome sequencing expression quantitative data, performing cell filtering by using Grubbs test method to obtain effective single-cell transcriptome sequencing quantitative data, performing initialization clustering analysis on the data to obtain single-cell subgroup classification results; performing screening on the single-cell subgroup classification results to obtain target single-cell subgroups, and performing re-clustering analysis to obtain single-cell sub-subgroup classification results; performing significant difference gene screening analysis on the single-cell transcriptome sequencing quantitative data between single-cell subgroups; and performing regression analysis based on characteristic genes of cell cycles to predict cell division periods corresponding to different cell types. The application effectively solves the technical complex problems of existing single-cell transcriptome sequencing quantitative data analysis, makes data analysis more simple and reliable, and reduces the difficulty of data analysis.

The invention belongs to the technical field of agricultural biology, discloses a rice high-temperature-resistant gene OsACX2 and application thereof, and particularly discloses application of the OsACX2 gene in regulation and control of high-temperature resistance of rice. The invention discloses the application of the OsACX2 in regulating and controlling the high temperature resistance of the rice for the first time. Through target gene screening and in combination with CRISPR / Cas9 technology, the OsACX2 is knocked out / knocked down and the OsACX2 gene is overexpressed, and the importance of the OsACX2 on regulation and control of the high temperature resistance of the rice is proved. Meanwhile, knockout of the gene can be used for creating high-temperature-resistant rice germplasm resources and can be applied to breeding of new high-temperature-resistant rice varieties.

The invention discloses a bacterial gene editing tool based on an Ago2 and UvrD protein co-expression system and application. The bacterial gene editing tool comprises a first plasmid and a second plasmid, wherein the first plasmid comprises an Ago2 expression cassette and left and right homologous arms of a target gene, and the second plasmid comprises a UvrD expression cassette. According to the invention, the two plasmids are co-transformed into bacteria to obtain a strain without a target gene related sequence. The method is easy to operate, wide in application, free of potential off-target effect, high in knockout efficiency, free of resistance gene selection markers and suitable for bacteria which are difficult to edit or low in editing efficiency through a conventional gene editing method, and an excellent tool is provided for research and development of genetic engineering vaccines.

The invention discloses a gene screening method influencing drought adaptability of Hu sheep, and relates to the technical field of molecular breeding. The method comprises the following steps: step 1, selection and treatment of experimental sheep; step 2, transcriptome analysis; step 3, carrying out methylation analysis on the whole genome; and step 4, carrying out transcriptome and whole genome methylation conjoint analysis. The LOC121817420 gene is mined through a transcriptome and whole genome methylation method, the expression quantity of the gene in Hu sheep whole blood in two regions is detected through a real-time fluorescence quantification method, the expression quantity of the gene in Hu sheep in the Hetian region of Xinjiang is high, and it is proved that the gene is one of main candidate genes, different from Hu sheep in the Taihu Lake basin, of the Hu sheep in Xinjiang.

The invention relates to the technical field of gene screening, and discloses a method for screening a cadmium-resistant gene of spanishneedles herb by using a yeast strain ycf1, and the method comprises the following steps: S1, carrying out no-load plasmid transformation on recipient bacteria ycf1; s2, transforming recipient bacteria ycf1 in a spanishneedles herb library; s3, preparing a yeast working bacterial liquid; and S4, cadmium concentration screening. By adopting yeast screening, the interaction can be simulated in a cell environment close to a natural state, and the method has the following advantages that high-throughput screening capability is realized, and a large number of samples can be rapidly screened; convenience and operability are achieved, and the method is suitable for being widely applied to different laboratories; the stability is realized, the interaction research in yeast cells is more stable, and the influence of the environment on the experimental result is reduced.

The invention belongs to the technical field of biological medicine and molecular biology, and provides a hypertrophic cardiomyopathy virulence gene MYH7c.794Cgt; the invention relates to T (p.Thr265Ile) and an application thereof. The MYH7 gene mutation is located on the ninth exon, the 794th base is mutated from C to T, namely ACC is mutated to ATC, and the 265th amino acid in the coded amino acid sequence is mutated from threonine to isoleucine. The mutation induces cardiac hypertrophy by disrupting energy metabolism-this defect occurs prior to the occurrence of systolic dysfunction. Along with increasingly prominent status of precision medicine in cardiovascular treatment, a treatment strategy aiming at an upstream pathological process (such as energy homeostasis and mitochondrial dysfunction) provides a way with a wide prospect for preventing and treating MYH7-related hypertrophic cardiomyopathy. MYH7 gene screening has important values in the aspects of promoting early diagnosis, guiding timely treatment intervention and realizing risk-based prevention and management.

The present invention relates to an sgRNA sequence for targeted knockout of the IGFL3 gene and its application in enhancing the radiosensitivity of glioblastoma, belonging to the field of biotechnology. The sgRNA sequence is IGFL3-sgRNA-1 or IGFL3-sgRNA-3, and a CRISPR / Cas9 vector for targeted knockout of the IGFL3 gene is constructed using this sgRNA. The above vector was transfected into human glioblastoma cell line U251, and it was identified that the IGFL3 gene could be efficiently knocked out in this cell, and 2 U251 cell lines with knocked-out IGFL3 gene were screened. By targeted knockout of the IGFL3 gene, the radiosensitivity of human glioblastoma cell line U251 can be effectively enhanced. The present invention lays a foundation for studying the role of the IGFL3 gene in the radiosensitivity of glioblastoma, and also provides a powerful tool for developing this gene as a potential molecular target for enhancing the radiosensitivity of glioblastoma.

The invention discloses a homologous recombination system, a transposition system, a fruit fly animal gene high-throughput screening method and application. The screening method comprises the following steps: firstly, separating and establishing a stable cell line from a fruit fly animal; then co-transfecting a CRISPR / Cas9 mediated homologous recombination system, and obtaining a cell line for stably expressing Cas9 protein through puromycin screening and a limited dilution method; the sgRNAs plasmid library constructed by combining a PiggyBac transposon system can realize efficient screening and functional analysis of a target gene in the Cas9 cell line. The high-throughput screening method provided by the invention is widely applicable to gene function research and target gene screening, is simple in preparation process and convenient to operate, has good universality, and provides effective technical support and solution for related fields.

The application relates to a cancer driver gene explainable identification method based on trust calibration and prototype learning, and relates to the technical field of biological information identification. A gene graph is constructed by fusing a protein interaction network and gene multi-omics characteristics, and part of nodes are labeled. Label-aware message passing is performed through a trust calibration encoder, the neighborhood is split into a labeled part and a non-labeled part for independent calibration, and node embedding is adaptively fused. An angle margin prototype classifier is used to construct a class prototype on a hypersphere, the decision boundary is expanded, and a prediction result is output. A pivot node self-supervised regularizer is introduced, center nodes are screened from labeled driver genes, positive constraints are applied to neighbor non-labeled nodes, negative penalties are applied to non-neighbors, and a supervised boundary is maintained when non-labeled data is used. Finally, a structured explanation module is used to reuse the internal evidence of the model, a verifiable explanation is provided for prediction, and the unification of high precision and credible explanation is realized.