502 results about "Gene expression level" patented technology

A spatial omics multi-modal fusion method under a single cell level comprises the following steps: extracting spatial morphological characteristics of differential expression genes and cell nucleuses from spatial transcriptome data, single cell sequencing data and histological images, and realizing field adaptation among different platforms by using a conditional variation auto-encoder. And based on a probability inference model, fusing spatial transcriptome expression, unicellular omics and morphological characteristics, and jointly inferring the type and gene expression level of each cell. A spatial cell network is constructed through a graph attention mechanism, and spatial diffusion and recognition of cell types in a full slice range are realized. In combination with a multi-omics enhancement module, undetected gene and protein expression is completed based on expression similarity, and prediction consistency is improved through spatial correction. According to the method, high-resolution reconstruction of single-cell multi-omics information in a three-dimensional space is realized, the information coverage and spatial resolution of spatial omics data are improved, and an efficient and low-cost solution is provided for spatial biology and precise medical research.

The invention relates to the technical field of bioinformatics, and provides a crop whole genome phenotype prediction method and system fused with an environmental indicator gene, and the method comprises the following steps: collecting re-sequencing data, and carrying out genome comparison to obtain variation site data; performing whole genome association analysis by using the variation site data to obtain phenotype association site information; carrying out gene expression quantity measurement on samples of the crop population material in different environments to obtain gene expression quantity data; performing differential expression analysis on the gene expression quantity data to screen environmental indicator genes to obtain an environmental indicator gene set; constructing a phenotype prediction model of double-branch fusion; and predicting a to-be-predicted material through the phenotype prediction model to obtain phenotype prediction results for different environments. According to the method, environmental factors are incorporated into the whole genome selection model, so that the phenotype prediction precision in different environments is improved.

The invention relates to the technical field of plant genetic engineering, and particularly discloses an alfalfa salt-alkali-resistant and low-temperature composite stress-resistant gene MsNCED5 and application of encoded protein thereof in improving salt-alkali-resistant and low-temperature composite stress-resistant capability of plants. The nucleotide sequence of the gene disclosed by the invention is as shown in SEQ ID NO.1, the full length is 1833 bp, and 610 amino acids are encoded. According to the invention, an MsNCED5 overexpression vector is constructed and medicago sativa is converted, so that an MsNCED5-OE transgenic line is successfully created, and the MsNCED5 gene expression quantity of the MsNCED5-OE transgenic line is obviously increased compared with that of a wild type. Under the salt-alkali and low-temperature composite stress, the transgenic plant has stronger stress tolerance compared with the wild plant, which indicates that the overexpression of the MsNCED5 gene improves the resistance of the plant to the salt-alkali and low-temperature composite stress. The MsNCED5 gene disclosed by the invention provides an important theoretical basis for researching an alfalfa stress resistance molecular mechanism and breeding.

The invention discloses a human body electrocardio R wave detection method, and relates to the technical field of electrocardio signal detection.The system comprises the following components of gene expression data and electrocardio signal collection, specifically, gene expression level information of an individual whole genome is obtained through a gene detection technology, meanwhile, electrocardio signals are collected through a multi-channel electrocardio sensor, and the gene expression data and the electrocardio signals are obtained; according to the method, by introducing the gene expression data, personalized electrocardiogram R wave detection can be carried out on an individual with the tendency of specific gene variation or family genetic cardiovascular diseases, the conventional characteristics of the electrocardiogram signals are considered, information of the gene level is combined, and the method has the advantages of being high in accuracy and high in accuracy. Therefore, R waves can be recognized more accurately, false detection and missing detection are reduced, and the method has important significance in improving the accuracy of cardiovascular disease diagnosis, finding cardiovascular abnormality in an early stage and formulating a personalized treatment scheme.

The invention relates to a method for rapidly detecting the cell adhesiveness of probiotics and application of the method. The method comprises the following steps: adding the probiotics into adherent culture cells, incubating, discarding liquid, digesting and collecting the cells by pancreatin, extracting total DNA (Deoxyribonucleic Acid), performing qPCR (Quantitative Polymerase Chain Reaction) amplification, and calculating the adhesion quantity of the probiotics on a single cell according to a Ct value. The invention provides a method for rapidly detecting the cell adhesion rate of probiotics by using a qPCR (quantitative polymerase chain reaction) technology, which comprises the following steps of: extracting total genome DNA (deoxyribonucleic acid) after the probiotics are adhered to cells on the basis of the gene expression difference of prokaryotic and eukaryotic cells, and detecting the specific gene expression level of the probiotics and the cells by using the qPCR technology. The cell adhesion ability of the probiotics is evaluated by calculating the ratio of the gene expression quantities of the two, and the method has the characteristics of high efficiency, rapidness, high accuracy and the like.

The invention discloses a drug-resistant marker for treating prostatic cancer olaparib and application of the drug-resistant marker, and relates to the technical field of medicine, and the marker is a PCAR1 gene. Research finds that the PCAR1 gene is remarkably and highly expressed in prostate cancer Olaparil drug-resistant cells and clinical drug-resistant samples, and can be used as a key marker for judging the drug resistance of prostate cancer patients to Olaparil. By detecting the expression level of the PCAR1 gene, the treatment reaction of a patient to the olaparil can be effectively predicted, and a basis is provided for clinically and accurately selecting a treatment scheme. Meanwhile, the specific siRNA designed aiming at the PCAR1 gene can obviously inhibit the expression of the PCAR1 gene, and can effectively reduce the drug resistance of cancer cells to olaparione, promote the apoptosis of the cancer cells and inhibit the proliferation of the cancer cells when being combined with the olaparione for use. Based on the siRNA, the invention prepares a pharmaceutical composition containing the siRNA and olaparil, and provides a new drug combination scheme for the treatment of prostatic cancer.

The invention belongs to the technical field of lake and reservoir water source risk prediction, and provides a lake and reservoir water source algae bloom risk early warning system based on a 16S / 18SrRNA gene expression quantity threshold, and the method comprises the following steps: S1, collecting a sample from a lake and reservoir water source surface layer water body; s2, using 7-gate water bloom algae specific primers for blue-green algae, green algae, diatom, euglena, dinoflagellate, chrysophyta and cryptoalga; s3, based on the qPCR standard curve, calculating the copy number of the 16SrRNA / 18SrRNA gene of the seven water bloom algae; s4, when the gene expression quantity of a certain algal bloom algae continuously reaches 106-7 copy number / mL for 7-12 days, determining that the algal bloom algae is in a window phase; according to the threshold value of the gene expression quantity of the water bloom algae 16SrRNA / 18SrRNA, the window period of water bloom algae cells can be accurately recognized, so that early warning of the algae bloom risk in the lake and reservoir water source is achieved, and early warning of algae bloom outbreak in the lake and reservoir water source is achieved one week or above in advance.

The invention provides an ovarian cancer accurate diagnosis and personalized treatment method based on data integration, and the method comprises the steps: employing a feature extraction algorithm to generate a multi-dimensional feature vector set containing a gene expression level, an image texture parameter, a symptom score and a pathological classification according to a structured data set; performing dimension reduction processing on the multi-dimensional feature vector set through a feature fusion module to obtain a low-dimensional feature representation vector; performing grouping and risk prediction on the patient data by adopting a classification algorithm according to the low-dimensional feature representation vector, and generating a patient subgroup classification and disease risk layering result; according to the patient subgroup classification and the disease risk layering result, a scoring model is adopted to generate a diagnosis scoring result and a personalized treatment recommendation scheme, and a diagnosis report is output.

The invention belongs to the technical field of biological genetic engineering, and relates to a high-risk myelodysplastic syndrome screening gene and a diagnostic kit thereof. The invention provides an application of detecting YTHDF2, METTL3 and NAT10 gene expression of bone marrow cells of high-risk MDS patients as a specific molecular marker for screening the high-risk myelodysplastic syndrome, and by detecting mRNA expression levels of the YTHDF2, METTL3 and NAT10 genes, the screening of the patients in the high-risk myelodysplastic syndrome is facilitated. Meanwhile, treatment and prognosis evaluation of patients with high-risk myelodysplastic syndromes can be better guided. Only the bone marrow fluid of the patient needs to be extracted and collected during bone marrow cytology examination of the patient, the patient compliance is good, the bone marrow fluid is selected from human bone marrow fluid mononuclear cells, the detection result is more accurate, and the method is suitable for clinical large-scale application.

The invention provides application of a CD47 gene in detection of pig litter size phenotype and application of an SNP site of the CD47 gene in gene expression regulation. It is found that the CD47 gene is regulated and controlled by the SNP site rs323354626, it is further found that the rs323354626 site and the phenotype of the total litter size of sows show the highest significance, and it is indicated that the CD47 gene and the total litter size of the sows have large correlation. In three main commercial varieties of pigs, namely Duroc, Landrace and Yorkshire, the CD47 expression level in testis tissues is negatively correlated with the litter size, which indicates that the expression mode of the CD47 gene may influence the reproductive performance of the pigs, and the litter size phenotype of the pigs can be detected by detecting the CD47 gene expression level in the testis of the breeding pigs or somatic cells of the sows. Or the litter size of the pigs is influenced by regulating and controlling the expression level of the CD47 gene through the rs323354626 site, and the discovery lays a foundation for improving the breeding efficiency of the pigs, especially for a breeding method for increasing the litter size.

The present invention relates to methods of predicting the response of prostate cancer subjects to neohelper androgen deprivation therapy. The method is based on prediction results based on gene expression levels identified herein. The present invention provides a method for determining whether neoadjuvant androgen deprivation therapy is useful for a subject and thus should be administered. Further provided is the use of a kit for determining the expression level for predicting the response of a prostate cancer subject to neohelper androgen deprivation therapy.

The invention discloses a method for evaluating the detection effect of a fusion gene detection method, and belongs to the technical field of evaluation based on the detection effect. According to the invention, a detection reference substance I and a detection reference substance II are constructed, and the detection reference substances are connected with a reference gene segment in equal molecular number proportion, so that the detection condition under the condition of equivalent reference gene expression level can be realized, and whether the sample quality reaches the detection standard or not can be deduced; the measurement of the lowest detection quantity of the fusion gene relative to the expression quantity of the reference gene is realized; the first detection reference is used for detecting sensitivity analysis of the fusion type by the detection method of the fusion gene to be detected, and the second detection reference is used for verifying whether a detection result of the detection method of the fusion gene to be detected is a false negative result or not. And the method has a very good application prospect.

The invention relates to application of CXCL4 derived from serum exosome in colorectal cancer diagnosis, treatment selection and prognosis evaluation, and belongs to the technical field of tumor treatment. According to the invention, the expression level of the CXCL4 gene derived from the serum exosome for immunotherapy of patients suffering from colorectal cancer is obviously higher than that of the CXCL4 gene derived from the serum exosome for immunotherapy of the patients suffering from colorectal cancer, and the CXCL4 gene can be used as a marker for distinguishing the non-sensitive type and the sensitive type for immunotherapy of the patients suffering from colorectal cancer and is used for guiding a subsequent treatment scheme.

The invention relates to the technical field of biological medicine, in particular to an ulcerative colitis disease clearance evaluation molecular marker and application thereof. By detecting the expression level of the HMGCS2 gene in a sample, the ulcerative colitis disease clearance state and disease activity period can be evaluated, and the method is used for curative effect monitoring, recurrence prediction and individualized treatment strategy formulation of ulcerative colitis and has important clinical application value and market prospect.

The invention provides a combined lactobacillus salivarius YS-UR90 and a preparation method of the combined lactobacillus salivarius YS-UR90. The saliva combined lactobacillus provided by the invention can secrete protease and glycosidase, and the HCT and FLS gene expression levels of the saliva combined lactobacillus are high, so that the saliva combined lactobacillus can promote phenolic acid active ingredients to generate biotransformation during fermentation, and the proportion of chlorogenic acid and the like in fermentation liquor is increased. For example, marine fish oligopeptide and casein phosphopeptides are used as a composite nitrogen source, dandelion powder is used as a functional substrate, and a composite fermentation product obtained through fermentation of saliva and lactobacillus has the effect of promoting uric acid excretion and has a certain protection effect on kidney injury. The compound fermentation product has the effect of improving hyperuricemia mainly by inhibiting XOD activity, increasing serum urea nitrogen level, improving defect expression of uric acid synthesis gene HPRT1, inhibiting expression of uric acid reabsorption URAT1 and GLUT9 genes and improving expression of excretion genes OAT1 and ABCG2.

The invention discloses a spatial transcriptome data deconvolution method, which comprises the following steps of: (1) filtering spatial transcriptome data and single cell data, and reserving a part containing common gene expression information; (2) counting gene expression of each cell type based on the filtered single cell data and corresponding single cell annotation data, calculating the average gene expression level of each cell type, and constructing a reference matrix; (3) constructing an optimization model by taking space communication and space cell composition as decision variables; and (4) solving the optimization model by using an optimization algorithm with the aim of minimizing the difference between the predicted gene expression value and the real gene expression value to obtain joint inference of space deconvolution and a space communication mode. According to the method and the device, the deconvolution task of the space transcriptome data can be finished with high precision, and meanwhile, accurate inference of space communication is realized.

The invention provides a VvYUC10 gene, the nucleotide sequence of the VvYUC10 gene is as shown in SEQ ID No.1, or the nucleotide sequence which is obtained by substituting, deleting and / or adding one or more nucleotides to the nucleotide sequence as shown in SEQ ID No.1 and expresses proteins with the same function; the invention also provides an application thereof. The grape VvYUC10 gene has the advantages that the function of the grape VvYUC10 gene is verified, it is found that the content of auxin in calluses of overexpressed VvYUC10 arabidopsis thaliana and grapes under salt stress is increased, the oxidation resistance is enhanced, and it is further found that the expression quantities of the VvRD22 gene, the VvDREB2A gene, the VvRD29A gene, the VvP5CS gene, the VvCAT1 gene and the VvSOD gene are increased; finally, it shows that the VvYUC10 gene positively regulates and controls the auxin signal channel to positively resist external adverse environmental factor salinization, and a theoretical reference basis is provided for grape salt-tolerant gene mining and breeding.

The invention relates to a preparation method of a space transcriptomics chip captured by an ultrahigh-density probe, the chip prepared by the preparation method, and application of the chip in sample nucleic acid molecule detection. The whole solid substrate is fully modified with DNA probes, including poly T probes and probes with TSO information, so that the probe density of the chip can be improved, the gene detection efficiency and resolution are improved, and a space transcriptome technology which is simple in experimental process, low in cost and high in throughput is obtained; the spatial position information of the gene can be obtained while the gene expression level can be detected in a high-throughput manner.

The invention provides application of sclareol in preparation of a medicine for preventing and treating varicella-zoster virus infection. A series of biological experiments show that the sclareol can obviously relieve the cytopathic effect caused by VZV infection under the concentration without obvious cytotoxicity; the gene expression quantity of VZV characteristic genes including an immediate early gene ORF62, an early gene ORF21 and a late gene ORF68 and the expression of an early protein IE62 and a late protein gE can be remarkably inhibited, so that the effect of resisting VZV infection is achieved. The results show that sclareol has obvious prevention and treatment effects on VZV, has small toxic and side effects, is safe and effective, and has an application prospect in preparation of drugs for treating and / or preventing VZV.

The invention relates to the technical field of agricultural biological genes, and discloses a method for improving citrus canker resistance by using a CsSERK1 gene, and the citrus canker resistance of citrus plants is improved by adjusting the expression level of CsSERK1 protein in citrus plants. The method specifically comprises the following steps: (1) cloning a citrus CsSERK1 gene sequence; (2) constructing an overexpression vector; and (3) transforming the overexpression vector into citrus to obtain a transgenic plant with an up-regulated CsSERK1 gene expression level. By cloning a coding sequence of the citrus CsSERK1 gene, constructing an overexpression vector and then transforming the citrus, the canker attack degree of the obtained CsSERK1 overexpression transgenic plant can be reduced to 51.74% of that of the existing citrus to the maximum extent, the canker attack degree can be effectively and remarkably reduced, the scab area is reduced, the phenotype of the transgenic plant is not influenced, and the application prospect is broad. The gene has a great application value for canker-resistant breeding of citrus, and can be used as a candidate gene for canker-resistant breeding with a plurality of canker-resistant and susceptible genes.

The invention relates to the technical field of genetic engineering, in particular to an agrobacterium tumefaciens-mediated radix pseudostellariae hairy root genetic transformation method and application thereof. The method comprises the following steps: preparing a radix pseudostellariae explant; activating and culturing agrobacterium rhizogenes; constructing an engineering bacterium containing a target gene recombinant vector; infecting explants and inducing hairy roots; carrying out resistance screening and sterilization on transgenic hairy roots; carrying out amplification culture on hairy roots; and carrying out RT-PCR detection. The hairy root genetic transformation method provided by the invention is simple and rapid to operate and high in gene expression level, and can provide technical support for gene function research. Meanwhile, by using the genetic transformation method provided by the invention, through overexpression of the radix pseudostellariae cyclic peptide coding gene, a transgenic material with significantly improved content of the pharmacodynamic substance cyclic peptide of the radix pseudostellariae can be obtained, and a research material is provided for researching a biosynthetic pathway of the cyclic peptide.

The technology disclosed relates to reliably identifying variants that cause extreme levels of gene expression. Extreme levels of gene expression include under expression and over expression. Then, these variants are used to train artificial intelligence based models for a variety of prediction tasks. One example of the prediction tasks is to produce per-base resolution for chromatin sequences. Another example of the chromatin task is to produce gene expression changes caused by the reliably identified variants.

The invention relates to the technical field of agricultural biological genes, and discloses a method for improving citrus canker resistance based on a CsKCS2 gene, and the citrus canker resistance of citrus plants is improved by adjusting the expression level of the CsKCS2 gene in citrus plants. The method specifically comprises the following steps: (1) cloning a citrus CsKCS2 gene sequence; (2) constructing an overexpression vector; and (3) transforming the overexpression vector into citrus to obtain a transgenic material with an up-regulated CsKCS2 gene expression level. By cloning the coding sequence of the citrus CsKCS2 gene, constructing an overexpression vector and then transforming the citrus, the canker attack degree of the obtained CsKCS2 overexpression transgenic plant can be reduced to 73.3% of that of the existing citrus to the maximum extent, the canker attack degree can be effectively and remarkably reduced, the scab area is reduced, the phenotype of the transgenic plant is not influenced, and the application prospect is broad. The gene has a great application value for canker-resistant breeding of citrus, and can be used as a candidate gene for canker-resistant breeding with a plurality of canker-resistant and susceptible genes.

The invention discloses a method for increasing the passage frequency of a mammary epithelial cell line and application of the method, and belongs to the technical field of mammary epithelial cell lines. It is found for the first time that an insulator-stent attachment area exogenous fragment HS4-SAR fragment is connected with a p-Ef1a-SV40LT-Puro vector or a pEF1a-eGFP vector, commercial immortalized cell lines and primary cell lines are transfected, the passage number of mammary gland epithelial cell lines can be remarkably increased, and the mammary gland epithelial cell lines can be obtained. After 120 generations of passage, the cell morphology is still normal, malignant transformation is avoided, and the gene expression level is still not reduced, so that immortalization is realized; the established milk goat mammary gland epithelial cell line still has the capability of synthesizing and secreting protein; the provided method for increasing the passage frequency of the mammary epithelial cell line is simple and easy to operate, has a remarkable effect on an immortalized cell line and a primary cell line, and is expected to increase the passage frequency of stable passage of various mammary epithelial cell lines and reduce the cell cost of related research.

Provided are an oligonucleotide targeting lipoprotein a and a use thereof. The oligonucleotide can significantly inhibit the gene expression level of lipoprotein a and has a lasting drug efficacy.

The invention discloses a method for improving citrus liberobacter asiaticum resistance by using CsFMO1-1 protein and a disease-resistant citrus, and the citrus liberobacter asiaticum resistance of citrus plants is improved by adjusting the expression level of CsFMO1-1 gene in the citrus plants; the method specifically comprises the following steps: (1) cloning a citrus CsFMO1-1 gene sequence; (2) constructing an overexpression vector; and (3) transforming the overexpression vector into citrus to obtain a transgenic plant of which the expression level of the CsFMO1-1 gene is up-regulated. The citrus CsFMO1-1 gene coding sequence is cloned, an overexpression vector of the citrus CsFMO1-1 gene is constructed, then citrus is converted, the content of CLas in an obtained CsFMO1-1 overexpression transgenic plant is obviously lower than that of a wild type, the incidence degree of the citrus huanglongbing can be effectively and remarkably reduced, and therefore the resistance of the citrus to the citrus huanglongbing is remarkably improved; the phenotype of a citrus plant is not influenced, and the gene has an important application value for citrus liberobacter asiaticum resistance breeding, and can be used as a candidate gene for citrus liberobacter asiaticum resistance breeding with a plurality of citrus liberobacter asiaticum resistance and susceptible genes.

The invention provides application of a CHD1L detection reagent in preparation of a drug-resistant breast cancer screening kit, and belongs to the field of biological medicine. Researches find that when the CHD1L gene expression level in cancer tissues of a breast cancer patient is high, the breast cancer patient is prone to drug resistance to paclitaxel drugs, and the treatment effect of the paclitaxel drugs is poor. The reagent for detecting the CHD1L gene expression level is used for preparing the drug-resistant breast cancer screening kit, can be used for auxiliary diagnosis of clinical breast cancer types, provides an effective basis for related treatment measures or decisions of patients, and has a good clinical application prospect.

The invention provides an innovative model based on the correlation between the PLEKHA4 gene expression level and the low-grade glioma radiotherapy sensitivity and a prediction method. According to the model, a multi-factor Logistic regression analysis framework is constructed, and the PLEKHA4 gene expression level and key clinical pathological parameters are organically combined, so that a radiotherapy sensitivity prediction model is established. The method comprises a series of steps of sample collection, gene expression detection, clinical information collection, model calculation, result interpretation and the like, and can realize accurate prediction of radiotherapy response of low-grade glioma patients. Compared with the prior art, the method has the remarkable advantages of simplicity and convenience in operation, high prediction accuracy, high clinical transformability and the like. The method has great potential in the aspect of guiding individualized radiotherapy scheme formulation, can significantly improve the treatment effect, and has important value for medical application. Besides, the model can be optimized through further clinical verification, so that clinical practice can be better served, and the life quality and prognosis effect of patients are improved.

The invention relates to the technical field of primary local hyperhidrosis, in particular to a biomarker for detecting primary local hyperhidrosis and application of the biomarker, and the biomarker comprises but is not limited to one or more of the ratio of Th17 cells to Treg cells, IL-17A, IL-6, ROR gamma t and FoxP3. According to the invention, a multi-dimensional detection system covering PFH core pathological links (immune disorder, hyperactivity of sympathetic nerves and hyperfunction of sweat gland) is constructed by integrating immune related markers such as Th17 / Treg cell ratio, IL-17A, IL-6, ROR [gamma] t, FoxP3 and the like and combining the concentrations of peripheral blood epinephrine (E) and noradrenaline (NE) and the gene expression levels of sweat gland tissues AQP5 and Cacna1c. And a potential molecular target is provided for developing a novel therapeutic strategy (such as specific blocking of an IL-17 signal channel or enhancement of a Treg function) of a targeted Th17 / Treg axis.

The invention belongs to the technical field of biological medicine, and particularly relates to diagnosis and pharmaceutical application of SMOC2. Compared with normal people, the expression level of the SMOC2 gene in the heart of a clinical heart failure patient is increased, and the SMOC2 as a marker has clinical value in the diagnosis of cardiac hypertrophy and heart failure; in addition, by inhibiting the expression of the SMOC2 gene, the cardiac hypertrophy progress of the pressure overload model mouse can be delayed, and then the occurrence of heart failure is prevented. Therefore, a reagent for detecting the expression level of the SMOC2 gene can be used for preparing a reagent for detecting cardiac hypertrophy or heart failure, and an SMOC2 gene expression inhibitor can be used for preparing a medicine for preventing, relieving and / or treating cardiac hypertrophy.