22 results about "Resistant phenotype" patented technology

Provided are methods and compositions for enhancing radiotherapy in various cancers by administering dopamine receptor (DRD2)‐binding phenylpiperazine derivatives such as brexpiprazole, cariprazine, pipamperone, and perospirone. In vitro studies show that combining these agents with ionizing radiation (e.g., 5 Gy) significantly reduces cancer cell survival, suppresses metastatic and stemness markers (e.g., CD44, MMP‑2, Snail, Nanog), and promotes apoptosis. Fractionated or single‐fraction radiation regimens can be paired with DRD2 antagonists to lower treatment‐resistant phenotypes, decrease the likelihood of recurrence, and potentially reduce necessary radiation dosages. The approach applies to breast, prostate, lung, pancreatic, and brain cancers, among others. Depending on tumor characteristics, additional chemotherapeutic or immunotherapeutic agents may further improve outcomes.

The application relates to a mycobacterium tuberculosis drug resistance phenotype prediction method and device and a computer device. The method comprises the following steps: determining a to-be-predicted mutation site which does not exist in a mutation phenotype annotation database from at least one mutation site of a target gene fragment of to-be-processed mycobacterium tuberculosis according to gene sequencing data of the mycobacterium tuberculosis; converting protein structure change data of the to-be-predicted mutation site according to protein structure data corresponding to the to-be-predicted mutation site; inputting the protein structure change data of the to-be-predicted mutation site into a drug resistance phenotype prediction model to obtain a predicted drug resistance phenotype of the to-be-predicted mutation site; and determining a drug resistance phenotype prediction result of the to-be-processed mycobacterium tuberculosis based on the predicted drug resistance phenotype of the to-be-predicted mutation site and drug resistance phenotypes of the mutation sites except the to-be-predicted mutation site. The method can effectively improve the mycobacterium tuberculosis drug resistance phenotype prediction efficiency.

The invention discloses a carbapenem drug resistance marker screening method and system based on a cross-species compressed Debrueine diagram and a medium. The method comprises the following steps: starting from whole genome sequencing data of gram-negative bacteria belonging to different species and carbapenem drug phenotypes of the gram-negative bacteria, constructing a compressed Debrueine graph based on cross-species joint data, and taking existence / deletion of nodes in the graph as unified genetic variation characteristics. Performing correlation analysis on the nodes and the drug resistance phenotypes by using a linear hybrid model to obtain a candidate node set related to the phenotypes; k-mer is extracted based on the candidate node sequence, and secondary statistical screening is completed in combination with chi-square test and mutual information; and finally determining a group of carbapenem drug-resistant genetic markers which can be applicable across species through a hierarchical feature selection strategy of random forest and XGBoost. Efficient dimension reduction of large-scale cross-species genome data, cross-species consistent variation representation and high-interpretability marker screening are achieved.

The invention belongs to the technical field of biological medicines, and particularly relates to application of an HS2ST1 inhibitor in preparation of a medicine for treating KRAS inhibitor drug-resistant tumors. At present, more than 50% of KRAS inhibitor drug-resistant patients have unclear mechanisms and lack of effective intervention targets, and HS2ST1 is identified as a key regulation target of KRAS inhibitor drug resistance for the first time. Researches find that the expression of HS2ST1 in KRAS inhibitor drug-resistant cells is significantly up-regulated; functional experiments prove that targeted intervention of the HS2ST1 can effectively enhance the curative effect of the KRAS inhibitor and reverse the drug resistance phenotype of the KRAS inhibitor, and a new strategy and a potential treatment direction are provided for overcoming KRAS targeted treatment drug resistance.

The invention discloses an application of PINK1 in regulation and control of ER positive breast cancer tamoxifen drug resistance. The invention relates to application of PINK1 as a biomarker in evaluating the tamoxifen resistance of ER positive breast cancer cells. The drug resistance is evaluated by detecting the expression level of PINK1 in a sample and combining mitochondrial autophagy activity. The expression level of the PINK1 comprises an mRNA level and / or a protein level. According to the invention, the drug resistance formation process is systematically analyzed from the perspective of quality control of an organelle of mitochondrial autophagy, and through public database analysis and experimental verification, the overall up-regulation of the mitochondrial autophagy pathway in drug-resistant cells is clearly revealed, and the drug-resistant phenotype is promoted by maintaining the mitochondrial steady state, thereby opening up a new direction for understanding the drug-resistant mechanism.

The invention discloses an Indel molecular marker related to the browning character of towel gourd pulp, a detection primer and application of the Indel molecular marker and the detection primer, and belongs to the field of molecular assisted genetic breeding. The Indel molecular marker is located at the 8045208 site of the No. 5 chromosome of a luffa cylindrica reference genome, the site has a 15bp insertion / deletion variation, and the genotype (homozygous insertion type / heterozygous vs. Homozygous deletion type) is highly consistent with the browning-resistant phenotype. A detection primer pair developed on the basis of the marker can accurately predict the browning characteristic of the fruit of the towel gourd through DNA detection in the early growth stage of the towel gourd, and transformation from phenotype selection to genotype selection is achieved. The invention provides a brand-new, accurate and reliable molecular tool for browning-resistant breeding of towel gourds.

The invention discloses a sensitizing drug for resisting breast cancer by radiotherapy and a screening method and application thereof, and belongs to the field of biomedicine.The method comprises the steps that an in-vitro radiotherapy resistance model is constructed, a clinical segmentation radiotherapy dose increasing mode is simulated, stable acquired radiotherapy resistance is induced to be generated, and a carrier is provided for drug screening; natural plant small molecule compounds are used for treatment, and through concentration and time gradient dual control, the reversion ability of the natural plant small molecule compounds to radiotherapy resistance phenotypes is investigated; a multi-dimensional joint detection system is established, multi-level comprehensive evaluation is performed from cell survival and the like, the limitation of a single index is broken through, and the screening accuracy and reliability are improved; dNA damage repair is dynamically monitored through immunofluorescence, comet electrophoresis and the like, and the drug action mechanism is revealed. The medicine screened by the method is suitable for primary and acquired radiotherapy resistance patients, can effectively improve the radiotherapy curative effect, provides a new medicine source and scheme for clinical problems, and opens up the application of the compound in preparation of radiosensitizers or adjuvant therapy medicines.

The invention discloses an organoid transcriptome-based RAF co-mutation drug resistance mechanism analysis method, and belongs to the technical field of biomedicine. The method comprises the following steps: collecting and standardizing multi-source heterogeneous organoid transcriptome data, and constructing a dynamic detection timeline covering the whole process of organoid culture and drug treatment; defining dynamic expression characteristics and three core sets of RAF co-mutation, differential expression genes and drug-resistant phenotypes based on a time window; analyzing a dynamic regulation and control relationship among the three by utilizing a basic inference rule set driven by literatures, calculating an analysis weight by counting the locking times of a time window, quantitatively evaluating the analysis effectiveness and endowing a state value; and finally, by constructing an analysis state matrix, mining analysis relevancy among different detection events, and screening an optimal related analysis object. According to the method, the problems of static analysis, fuzzy regulation and control relationship and the like in the traditional drug resistance mechanism research are solved, and the dynamic, accurate and efficient analysis of the RAF comutation drug resistance mechanism is realized.

The application discloses a soybean low-temperature-resistant transcription factor gene GmBZR4 and application thereof, and belongs to the technical field of plant genetic engineering and molecular breeding. GmBZR4 The nucleotide sequence of the gene is shown as SEQ ID NO. 1. GmBZR4 The application clones a gene in a soybean variety Williams 82, constructs an overexpression vector, and transforms the vector into Arabidopsis thaliana, and through low-temperature-resistant phenotype identification, it is proved that overexpression of the gene can significantly improve the low-temperature-resistant adaptability of Arabidopsis thaliana at the seedling stage and the germination stage. GmBZR4 The survival rate of the unacclimatized overexpression strain after treatment at-8 DEG C is up to 81% (7% for the wild type), and the germination speed is significantly faster than that of the wild type under a low-temperature environment. GmBZR4 The gene provided by the application can be used as a target gene resource and applied to the cultivation of low-temperature-resistant plant varieties, and especially provides key technical support for soybean low-temperature-resistant molecular breeding.

The invention provides application of a tomato SlMT5 gene in improving high temperature stress resistance of plants, and belongs to the technical field of plant genetic engineering.Experiments show that under high temperature stress, an overexpressed plant containing the SlMT5 gene shows remarkably enhanced heat-resistant phenotype compared with a wild type, specifically, the withering degree and the heat damage index of the plant are remarkably reduced, and the heat-resistant phenotype of the overexpressed plant containing the SlMT5 gene is remarkably improved. The relative water content of the leaves is obviously increased. Meanwhile, the overexpressed plant can better maintain the photosynthesis capacity, and the maximum photochemical efficiency (Fv / Fm) and chlorophyll content of the overexpressed plant are remarkably higher than those of a wild type. In the aspect of oxidation resistance, the activity of antioxidant enzymes (SOD, POD and CAT) of overexpressed plants is remarkably enhanced, accumulation of active oxygen (and) and membrane lipid peroxidation products (MDA) is remarkably reduced, and the content of osmotic regulation substances (proline, ascorbic acid and soluble sugar) is remarkably increased; the invention provides key gene resources and technical support for cultivating new varieties of high-temperature-resistant crops.

The invention discloses a method for detecting drug resistance of acute myelogenous leukemia by WDR4 and an intelligent detection kit, relates to the technical field of acute myelogenous leukemia detection, and aims to solve the problem of poor drug resistance detection effect of acute myelogenous leukemia. Through linkage detection of WDR4 gene, protein expression and drug resistance phenotype, a gene-protein-function complete evidence chain is formed, limitation of a single index is avoided, drug resistance judgment reliability is improved, accurate targets are provided for analysis of acute myelogenous leukemia drug resistance mechanism, linkage detection of WDR4 gene, protein expression and drug resistance phenotype is realized, and drug resistance of acute myelogenous leukemia is improved. A'gene-protein-function 'complete evidence chain is formed, the limitation of a single index is avoided, the drug resistance judgment reliability is improved, and a precise target spot is provided for analyzing the drug resistance mechanism of acute myelogenous leukemia.

The invention discloses a trachinotus ovatus cold-resistant variety breeding assisting method and system based on scene adaptation, and the method comprises the steps: obtaining breeding environment scene data, individual genotype data and individual low-temperature-resistant phenotype data of trachinotus ovatus bred in winter in different sources, and constructing a multi-scene breeding database; screening out a candidate SNP site set significantly related to the low temperature resistance phenotype, and constructing a fusion feature vector representing a genotype-environment interaction effect; taking the fusion feature vector as a decision variable, taking low-temperature-resistant phenotypic data as a target variable, and combining with a multi-scene breeding database to construct a cold-resistant performance prediction model; acquiring expected breeding scene information, simulating and generating a virtual breeding group in combination with an existing germplasm resource library, and performing dominant genotype recommendation to obtain a dominant genotype recommendation table; candidate parent individuals are screened in combination with the current available parent group, a breeding path is designed, an optimal breeding scheme is generated and pushed, and precise adaptive breeding of the variety and the target breeding scene is achieved.

The application belongs to the technical field of biological medicine and molecular biology, and particularly relates to application of lactylation modified PARP1-K548 in glioma drug resistance diagnosis, prognosis analysis and treatment. Specifically, through in-depth research on the GBM TMZ drug resistance formation mechanism, the application finds that the lactylation modified PARP1-K548 signal shaft plays a key role in maintaining the drug resistance phenotype, and further provides related application of the lactylation modified PARP1-K548 in glioma drug resistance diagnosis, prognosis analysis and treatment, and therefore has good practical application value.

The application discloses a rice drought-resistant phenotype analysis method based on multi-task deep learning, relates to the technical field of crop phenotype analysis, computer vision and artificial intelligence, and specifically comprises the following steps: acquiring multi-time-phase RGB images of rice by using a high-throughput platform; extracting features by using a visual Transformer model; constructing color and morphological physiological branches and decoupling; constructing a physiological space based on agronomic traits and projecting features; constructing a multi-task network to optimize features; applying time sequence constraints to optimize features; and finally identifying drought-resistant genetic loci through whole-genome association analysis, realizing a closed loop of phenotype analysis and gene mining; by integrating multi-view images, deep feature decoupling and physiological space alignment technologies, the application constructs a multi-task framework, accurately separates color and morphological changes caused by drought, and improves the comprehensiveness of phenotype analysis; dynamic features are optimized in combination with time sequence constraints, and phenotype-genotype correlation is strengthened through whole-genome association analysis, so that the efficiency of drought-resistant genetic loci mining is significantly improved.

The invention relates to a primer and probe combination for simultaneously detecting urinary tract klebsiella pneumoniae and drug-resistant genes through nested PCR (Polymerase Chain Reaction) and a kit of the primer and probe combination, which can solve the problem that the existing detection target lpxC of klebsiella pneumoniae is highly homologous with the sequence alignment of part of related bacteria (klebsiella oxytoca, enterobacter aerogenes and citrobacter freundii); based on the defect that a primer and probe combination designed by an existing target lpxC causes cross amplification of the bacteria and does not meet clinical requirements, and the situation that a combination of a drug-resistant gene mecA and klebsiella pneumoniae is not suitable for clinical scenes, by simultaneously identifying the klebsiella pneumoniae and common drug-resistant genes of the two bacteria, the drug-resistant genes of the two bacteria can be identified, and the drug-resistant genes of the two bacteria can be identified. The Klebsiella pneumoniae gene, namely a carbapenemase-producing drug-resistant gene KPC-2 and an extended-spectrum beta-lactamase-producing drug-resistant gene (ESBL) CTX-M-15, can be used for judging whether the Klebsiella pneumoniae is sensitive or drug-resistant Klebsiella pneumoniae and distinguishing specific drug-resistant phenotypes, so that more comprehensive and definite medication guidance can be provided for clinicians.

The invention discloses a construction method and application of a refractory pituitary tumor organ. The method comprises the following steps: culturing pituitary tumor tissues by using a pituitary tumor organoid culture medium, the pituitary tumor organoid culture medium comprises a basic culture medium and an additive, and the additive comprises triiodothyronine and / or thyroid stimulating hormone releasing hormone. The organoid constructed by the method can stably express pituitary tumor markers such as SF1 / FSH / synapsin and accurately simulate clinical drug resistance characteristics (such as temozolomide resistance) in vitro, solves the problems that primary tumor cells are low in activity and drug resistance phenotypes are difficult to maintain, fills the blank that no reliable in-vitro model exists in the field, and has good application prospects. And a platform is provided for drug resistance mechanism research and individualized drug screening.

The invention relates to the technical field of clinical microbiological detection, in particular to a detection system for rapidly identifying drug resistance phenotypes of pathogenic bacteria based on machine learning in combination with MALDI-TOF MS. According to the system, optimal detection conditions are screened out, clinically separated pathogenic bacteria and antibiotics are subjected to grouping co-incubation, and MALDI-TOF MS detection is carried out through dynamic sampling at multiple time points; preprocessing the obtained mass spectrum data, and calculating to obtain an enhanced dynamic relative growth (RBD-RG) feature vector matrix; a plurality of machine learning models are trained based on the matrix, and an optimal drug resistance phenotype prediction model is screened out through cross validation, so that the drug resistance phenotypes (sensitivity, mediation and drug resistance) of pathogenic bacteria are quickly and accurately judged. The whole detection process can be completed within 2 hours, the detection efficiency is remarkably improved, key technical support is provided for early-stage precise medication of infectious diseases, and improvement of prognosis of patients and restraint of infection spreading are facilitated.

The invention relates to the technical field of gene engineering, in particular to application of a GhUGP1 gene in regulation and control of drought resistance of cotton. Phylogenetic analysis reveals that the GhUGP1 gene has high conservative property in the plant evolution process, and promoter cis-acting element analysis shows that the GhUGP1 gene contains rich stress response elements and indicates that the GhUGP1 gene participates in abiotic stress response. By constructing a GhUGP1 overexpression plant, it is found that the GhUGP1 overexpression plant shows a more drought-resistant phenotype, a lower in-vitro leaf water loss rate and a faster rehydration recovery capability under drought stress. Physiological index detection shows that active oxygen accumulation of overexpressed plants is remarkably reduced, antioxidant enzyme activity is improved, malondialdehyde content is reduced, callose deposition is reduced, and pore opening is reduced. Results show that the GhUGP1 plays a key role in maintaining moisture balance, enhancing active oxygen scavenging ability and regulating stomatal movement by positively regulating the drought resistance of the cotton.

The invention relates to the technical field of gene engineering, in particular to application of a GhUGE2 gene in regulation and control of drought resistance of cotton. According to the invention, GhUGE gene family members are screened from upland cotton through whole genome identification, and the GhUGE2 gene is focused for functional analysis. Bioinformatics analysis reveals that the promoter region contains abundant stress response elements, and prompts that the promoter region participates in drought stress response. A GhUGE2 overexpression plant is constructed, it is found that the GhUGE2 overexpression plant shows a more drought-resistant phenotype after drought treatment, recovery is faster after rehydration, the water loss rate of in-vitro leaves is lower, active oxygen accumulation is slowed down, and meanwhile the antioxidant enzyme activity is remarkably improved. The GhUGE2 gene plays a core positive regulation role in the drought resistance of the cotton. The overexpression of the GhUGE2 can significantly improve the drought resistance phenotype of the cotton, and the results of physiological and biochemical indexes prove that the GhUGE2 improves the drought adaptability of the cotton by enhancing the active oxygen scavenging ability and maintaining the moisture balance.

The invention discloses a construction method and application of an endometrial cancer progestational hormone drug-resistant cell strain based on CALB1 knockdown, it is found through sequential multi-omics dynamic analysis that CALB1 is continuously reduced in the drug-resistant process, the cell strain with the gene knocked down is constructed with the CALB1 as a target gene, and the cell strain has higher IC50 for progestational hormone, and the cell strain has a good anti-tumor effect on progestational hormone. The drug-resistant phenotype is stably maintained for more than 20 generations, the standardized requirements of mechanism research and drug screening are met, and the method has a remarkable application prospect.

The invention relates to the technical field of biological detection, and provides application of eccDNA-FTO in lung adenocarcinoma TKI drug resistance evaluation. By performing eccDNA high-throughput sequencing on TKI drug-resistant and sensitive lung adenocarcinoma cell lines and plasma samples of drug-resistant and sensitive patients and combining differential expression analysis and multiple rounds of verification, it is proved that eccDNA-FTO has the characteristic of high abundance in the drug-resistant cell lines and plasma of the drug-resistant patients. After the eccDNA is synthesized in vitro by adopting an LAMA technology, the integrity and accuracy of the eccDNA are confirmed through structural identification and sequence verification. Further, drug resistance phenotype detection shows that the eccDNA-FTO can significantly enhance the drug resistance of lung adenocarcinoma cells to TKI drugs. In the aspect of mechanism, eccDNA-FTO is specifically combined with STAT3 protein to regulate and control transcription activation of c-MYC gene, and finally the improvement of drug resistance of tumor cells is mediated. The discovery provides an important theoretical basis and a brand new research direction for clinically analyzing a molecular mechanism of lung adenocarcinoma TKI drug resistance and developing a novel drug resistance intervention strategy.

The application discloses a pathogen identification and drug resistance prediction method and system based on metagenomic sequencing, and the method comprises the following steps: S1, obtaining original data of clinical samples through metagenomic sequencing and preprocessing; S2, comparing the preprocessed sequencing data with a pathogenic microorganism reference database to identify the pathogen types and relative abundance of the clinical samples; S3, comparing the preprocessed data with a drug resistance gene database to identify the drug resistance genes and virulence factors carried by the pathogen; S4, taking at least one of the pathogen types, relative abundance, drug resistance genes and patient clinical information as input characteristics, and using a machine learning model to predict the drug resistance phenotype of the pathogen to specific antibiotics; and S5, integrating the pathogen types and abundance, drug resistance gene spectrum and predicted antibiotic sensitivity spectrum to generate and output a structured clinical report containing treatment suggestions; the application realizes pathogen identification, drug resistance phenotype prediction and treatment suggestion generation through metagenomic sequencing combined with a machine learning model.