328 results about "Genome sequence analysis" patented technology

The invention discloses a combination of different nucleic acid aptamers with known 291 targets, sequences of the nucleic acid aptamers of the combination are subjected to sequencing analysis through a single-cell high-throughput sequencing technology, and a cell map aiming at peripheral blood-derived mononuclear cells of a biliary tract cancer patient can be constructed. The nucleic acid aptamers covered by the combination have high specific affinity to molecular targets of the nucleic acid aptamers, and after the two ends of the nucleic acid aptamer sequences extend to adapt to joints of a commercial sequencing platform, high-throughput sequencing is carried out on the nucleic acid aptamer sequences which are combined with the surfaces of mononuclear cells and are provided with the sequencing joints; high-throughput analysis of the biomarkers on the surface of the peripheral blood-derived mononuclear cell of a biliary tract cancer patient can be realized, so that the cell map of the peripheral blood-derived mononuclear cell of the biliary tract cancer is constructed.

Provided are a flow cytometry sequencing analysis method and apparatus, a storage medium and a computer device, relating to the technical field of gene sequencing. After a sample to be analyzed and corresponding analysis requirements and an availability status of each current sequencing instrument are acquired, since a first sequencing instrument using second-generation sequencing technology and a second sequencing instrument using third-generation sequencing technology have different sequencing advantages, a target sequencing instrument can be determined by considering sample characteristics of said sample, the analysis requirements, and the availability status of each sequencing instrument, wherein the target sequencing instrument may be the first sequencing instrument or the second sequencing instrument, or the first sequencing instrument and the second sequencing instrument can also be used for hybrid sequencing, thus providing diversified use scenarios for users, and also improving the sequencing efficiency and sequencing precision to a certain extent; and then, the target sequencing instrument is used to perform sequencing of said sample to obtain a base sequence corresponding to the said sample, the base sequence being a binary sequence.

The invention discloses a diopter detection data fusion processing system based on deep learning, and relates to the technical field of medical detection. The system comprises a multi-modal data acquisition module, a data preprocessing and aligning module, a dynamic sequence analysis module, a deep learning regression core module, a personalized calibration module and a result output and visualization module which are connected in sequence. The system obtains objective detection data through a multi-modal data acquisition module, and multi-modal data is formed after preprocessing and space-time alignment; the dynamic sequence analysis module extracts adjustment response time sequence features; the deep learning regression core module calculates an initial diopter parameter; the personalized calibration module performs parameter optimization in combination with the biological characteristics of the user; and finally, a visual quality simulation result is generated through a result output and visualization module. According to the method, the multi-modal data fusion and deep learning technology is utilized, rapid and accurate diopter automatic detection is realized, and the detection efficiency and the individuation level are remarkably improved.

Provided herein are technologies for framing and evaluating biological sequence-based analysis tasks in a unified, natural-language-based, text in and text out format. Among other things, methods and systems of the present disclosure provide machine-learning technologies for combining biological sequence data, representing, for example, DNA, RNA, and protein sequences, with natural language, conversational style prompts that set out particular analysis tasks to be performed on the biological sequence data. This approach, for example, allows complex analysis tasks, including, but not limited to, identification of various sequence modifications, genes, and regulatory elements in DNA sequences, and quantification of properties such as degradation propensity of RNA and protein stability, to be input to a machine learning model in a uniform text-based format and for output to be generated in a same, unified, text-based format.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data is provided. Particularly, a genomics analysis platform for executing a sequence analysis pipeline is provided. The genomics analysis platform includes one or more of a first integrated circuit, where each first integrated circuit forms a central processing unit (CPU) that is responsive to one or more software algorithms that are configured to instruct the CPU to perform a first set of genomic processing steps of the sequence analysis pipeline. Additionally, a second integrated circuit is also provided, where each second integrated circuit forming a field programmable gate array (FPGA), the FPGA being configured by firmware to arrange a set of hardwired digital logic circuits that are interconnected by a plurality of physical interconnects to perform a second set of genomic processing steps of the sequence analysis pipeline, the set of hardwired digital logic circuits of each FPGA being arranged as a set of processing engines to perform the second set of genomic processing steps. A shared memory is also provided.

The present invention discloses a combination of different nucleic acid aptamers with 291 known targets. By performing sequencing analysis on the nucleic acid aptamer sequences of this combination through single-cell high-throughput sequencing technology, a cell atlas targeting mononuclear cells derived from the peripheral blood of patients with cholangiocarcinoma can be constructed. The nucleic acid aptamers covered by this combination have high specific affinity for their molecular targets. After extending adapters commercialized for sequencing platforms at both ends of the nucleic acid aptamer sequences respectively, by performing high-throughput sequencing on the nucleic acid aptamer sequences with sequencing adapters bound to the surface of mononuclear cells, high-throughput analysis of biomarkers on the surface of mononuclear cells derived from the peripheral blood of patients with cholangiocarcinoma can be achieved, thereby constructing a cell atlas of mononuclear cells derived from the peripheral blood of cholangiocarcinoma.

The invention discloses a semantic intelligent enhanced DNA storage method for the Internet of Things, and belongs to the crossing field of artificial intelligence and biological information storage, the compression efficiency and robustness of DNA image storage are effectively improved through introduced semantic extraction and a multi-read screening mechanism of design, key information areas in images are extracted through semantic extraction, and the compression efficiency and robustness of DNA image storage are improved. The method has the advantages that redundant backgrounds are eliminated, coding lengths are reduced, high-quality sequences are selected from sequencing copies by the aid of scoring and sequence analysis through a multi-read screening mechanism, fault tolerance is enhanced, the method is applicable to efficient semantic storage in scenes of the internet of things, the problem of low storage efficiency due to excessive redundant information in original images in existing DNA image storage methods is solved, and the method is applicable to high-efficiency semantic storage in scenes of the internet of things. And a high bit error rate exists in the DNA synthesis and sequencing process, so that the image recovery quality is influenced.

The invention discloses application of a corn ZmTST1 gene in improvement of plant yield and stress resistance. The nucleotide sequence of the corn ZmTST1 gene is as shown in SEQ ID NO. 1; the stress resistance is tolerance to salt stress and drought stress. Through sequence analysis and functional verification, after the ZmTST1 gene is over-expressed, the growth of plants can be promoted, the yield of the plants can be increased, meanwhile, the drought tolerance and the salt tolerance of ZmTST1 expressed plants are obviously higher than those of wild plants, and it is proved that the ZmTST1 gene has a remarkable effect in the aspects of high yield and stress resistance. By identifying the ZmTST1 gene, plants with high stress resistance can be screened, the cultivation period of the plants can be shortened, and a new method and thought are provided for plant breeding in the future.

The invention relates to the technical field of artificial intelligence application, and discloses an enzyme EC number prediction method, and the method comprises the steps: obtaining the sample sequence characteristics of a to-be-predicted sample containing a substrate SMILES sequence and a product SMILES sequence through a target BERT model; constructing a molecular object and feature coding based on atom mapping, atom truncation and sequence analysis, constructing a reaction graph of a to-be-predicted sample, inputting the reaction graph into a target graph isomorphic neural network, and constructing molecular graph features of the to-be-predicted sample based on a recursive neighborhood aggregation mechanism; and fusing the sample sequence features of the to-be-predicted sample with the molecular map features by using a bidirectional cross attention mechanism to obtain multi-modal features, inputting the multi-modal features into the multi-layer perceptron, and obtaining the prediction probability of the enzyme EC number of the to-be-predicted sample. According to the method, efficient and accurate end-to-end prediction of enzyme EC numbering is realized through the multi-dimensional chemical spatial characteristics of the collaborative modeling reaction.

The invention relates to the technical field of biological detection, in particular to a miniaturized portable fluorescence microplate reader for instant fluorescence detection, and aims to provide a fluorescence detection scheme which is portable, high in sensitivity and quick in response. The detector integrates an MCU microcontroller, a voltage conversion module, a light source driving module, a motor driving module, a photoelectric detection module, an AD sampling module, an automatic temperature control module based on a PID algorithm, a signal processing system and a data processing system. High-sensitivity and high-resolution detection of a fluorescent sample can be realized, the concentration of the sample can be detected in real time, and the change process of the concentration of the sample can be presented through a kinetic curve. Through the optimization of the structure, optics and electronic circuits, the instrument is more miniaturized and has portability. Due to the advantages of portability, high sensitivity, quick response and the like, the kit has wide application prospects in multiple fields of basic research of nucleic acid, gene expression, sequence analysis, transgenic detection and the like.

The invention relates to the technical field of flow calibration, and discloses a multi-pipeline flow collaborative calibration system. The system comprises a flow characteristic acquisition module, a flow category classification module, a sequence analysis module, a trend analysis module, a correction module and a collaborative decision module. The flow characteristic acquisition module is used for acquiring current flow data and real-time characteristic information of multiple pipelines and indexing a historical flow data set; the traffic category classification module classifies the historical characteristic information to obtain a plurality of traffic categories, and extracts related information for processing to obtain a historical calibration score set; the sequence analysis module serializes the historical calibration score set and ranks the historical calibration score set according to time to form a historical traffic sequence; the trend analysis module analyzes the flow change rate and the stability deviation rate according to the historical flow sequence; the correction module matches the real-time characteristic information with the traffic category, and corrects the rate value according to the deviation; and the collaborative decision-making module performs multi-pipeline collaborative calibration decision-making based on the corrected data, generates and executes a flow calibration scheme, and assists the multi-pipeline system in precise flow control.

The present invention discloses a black chicken liver hydrolyzed peptide that can be used to improve ulcerative colitis, and its preparation method and application, which belong to the field of biomedicine technology. The preparation method of the black chicken liver hydrolyzed peptide comprises the following steps: making black chicken liver into minced meat and mixing it with water, heating the obtained liquid material, adding alkaline protease for enzymatic hydrolysis, inactivating the enzyme and collecting the supernatant by centrifugation, and freeze-drying to obtain the black chicken liver hydrolyzed peptide. The present invention adopts formaldehyde titration to detect the degree of hydrolysis, adopts SDS-PAGE electrophoresis and Tricine-SDS-PAGE electrophoresis to detect the molecular weight, performs sequence analysis by LC-MS / MS, uses a database to predict the biological function of peptide segments, detects the antioxidant and blood pressure lowering ability of black chicken liver peptide by in vitro experiments, and detects the effect of black chicken liver peptide in improving colitis by mouse experiments. The results show that the black chicken liver peptide prepared by the present invention has the advantages of antioxidant, blood pressure lowering and improvement of ulcerative colitis.

The invention belongs to the technical field of Hu sheep molecular marker-assisted breeding, and particularly relates to application of a molecular marker located in an OAR1164254640.1 gene in Hu sheep molecular marker-assisted breeding. According to the invention, Hu sheep is taken as a research object, PCR amplification, direct sequencing of products and sequence analysis are adopted, CADM2 gene polymorphism is analyzed, and correlation between different genotypes of polymorphic sites and different growth traits is comprehensively analyzed. An analysis result shows that downstream 192bp T-C and 235bp T-C of OAR1164254640.1 are remarkably related to birth weight, weaning weight and six-month-old body weight of Hu sheep, and birth weight, weaning weight and six-month-old body weight of CC genotype are remarkably higher than those of individuals of TT and TC genotypes.

The invention relates to a privileged account-oriented dynamic authority control and behavior auditing method and system, which integrate operation sequence analysis, environmental threat intelligence and user behavior baselines, construct a behavior DNA model and realize accurate real-time risk scoring. A transient dynamic token is adopted to realize permission minimization, a token fusing mechanism is initiated to realize real-time interruption of high-risk operation, suspicious operation intention verification is performed through a mirror image sandbox, and a virtual pressure test is introduced to actively detect potential threats. A full-link digital twin system is established, it is ensured that auditing records cannot be tampered in combination with a distributed consensus auditing account book, and attack chain visualization and operation scene accurate playback are supported. According to the scheme, the problems of permission flooding, extensive management and control, weak auditing and the like existing in traditional privileged account management are effectively solved, precise management and control, intelligent early warning and credible traceability of privileged behaviors are realized, and comprehensive protection is provided for organizing core assets.

The invention belongs to the technical field of agricultural biology, and particularly relates to a GmGAI7 gene and application of the GmGAI7 gene in soybeans. A jy425 dwarfing mutant is obtained by screening and identifying an EMS (Enhanced Mass Spectrometry) mutagenesis group of JY47 (JY47), then BSA (Bovine Serum Albumin) sequencing analysis and fine positioning are carried out on a filial generation of jy425 * JN18 to find and verify that SNP variation exists at a chr18: 3281001 site of a soybean genome, so that non-synonymous mutation (gTc / gAc) of amino acid occurs, and a molecular marker is developed aiming at the site by a KASP method; meanwhile, it is found that the soybeans are insensitive to gibberellin due to mutation (T-> A) of the GmGAI7 gene, and the plant height of the soybeans is remarkably reduced. Therefore, cognition on ideal plant types of soybeans is widened, important genetic resources are provided for molecular marker-assisted breeding, and the breeding process is more accurate, efficient and controllable.

The invention relates to the technical field of physiological signal analysis, in particular to a sleep disorder intelligent diagnosis system based on a multi-modal knowledge graph, which comprises a signal lag analysis module, an abnormal signal identification module, a graph construction module, a graph path generation module and a diagnosis result output module. According to the method, difference comparison and normalized sequence analysis in a time window are performed on multiple types of physiological response data, and derivative trend identification and mutation section calibration are combined, so that collaborative identification of signal delay response and abnormal change positions is realized, and multi-dimensional information of duration, frequency and fluctuation amplitude in abnormal events is further structured; the method comprises the following steps: constructing a traceable symptom expression vector, extracting structural features of the traceable symptom expression vector in a time sequence evolution process through a cross-time window entity evolution path, identifying a growth trend of association strength between symptoms according to an attribute change direction and a path connection mode, and judging a fluctuation mode and an abnormal evolution tendency of a sleep state of a user in a specific time period.

The invention provides a primer group and a kit for identifying corn varieties and application of the primer group and the kit. The primer group comprises a first primer pair to a 200th primer pair, each primer pair comprises a forward primer and a reverse primer, and the forward primer of the first primer pair, the reverse primer of the first primer pair to the forward primer of the 200th primer pair and the reverse primer of the 200th primer pair are sequentially shown as SEQ ID NO: 1 to SEQ ID NO: 400 in a sequence table. DNA fingerprint data of to-be-detected samples can be obtained through multiple PCR amplification and high-throughput sequencing by utilizing the primer group, then a variety identification conclusion is obtained by comparing the DNA fingerprint data of the to-be-detected samples, the accuracy and the digitization degree are high, hundreds of to-be-detected samples can be compared at a time through sequence analysis software, the variety identification conclusion is rapidly obtained, and the method is suitable for large-scale popularization and application. The accuracy and efficiency of corn variety identification can be obviously improved.

The invention relates to a nucleic acid aptamer for specifically recognizing tilmicosin as well as screening and application of the nucleic acid aptamer, and belongs to the technical field of food safety detection and biosensing. Aiming at the defects of the existing method for detecting tilmicosin residues in food, the invention provides a high-affinity and high-specificity nucleic acid aptamer obtained by screening based on a graphene oxide index enrichment ligand systematic evolution technology. The aptamer is obtained by multiple rounds of screening from a random single-stranded DNA library through a GO-SELEX technology, and a core sequence Apt-2-1 with the length of 33 nt is finally obtained through sequence analysis and structure optimization. The aptamer shows excellent binding capacity to tilmicosin, the dissociation constant reaches 9.82 nM, and the aptamer has good specificity. The nucleic acid aptamer provided by the invention can be used for constructing a rapid and sensitive tilmicosin residue detection method, and has important application value in monitoring of livestock and poultry products and food safety.

The invention belongs to the technical field of Hu sheep molecular marker-assisted breeding, and particularly relates to application of an AAGAB gene molecular marker g.23443T > C in Hu sheep molecular marker-assisted breeding. According to the invention, Hu sheep is taken as a research object, PCR amplification, direct sequencing of products and sequence analysis are adopted, AAGAB gene polymorphism is analyzed, and correlation between different genotypes of polymorphic sites and different growth traits is comprehensively analyzed. An analysis result shows that g.23443T > C is remarkably related to the chest circumference of Hu sheep and the daily gain of Hu sheep from six-month-old to one-year-old, and the birth weight, weaning weight and six-month-old body weight of CC genotype are remarkably higher than those of TT and TC genotype individuals.

The invention relates to the technical field of goat molecular marker breeding, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker for identifying or assisting in identifying the height of a goat body type and application of the SNP molecular marker. The SNP molecular marker provided by the invention is located at the 937th basic group of an SHBG gene coding region and has A / G polymorphism, and the login number of the SHBG gene is NC030826.1. According to the invention, a Leizhou goat is taken as an experimental material, sequencing analysis is carried out on an SHBG gene, A-G mutation exists at the 937th basic group in an SHBG gene coding region and is non-synonymous mutation, the mutation leads to mutation of amino acid from arginine to glycine, and the genotype of the site is related to the high and short foot character of the goat (when the genotype is GG or AG, the goat is a tall goat; and when the genotype is AA, the goat is a short type goat), the method can be used for identifying or assisting in identifying the height of the goat body type, and has important significance on breeding of goat varieties.

The invention discloses a human angiotensin II purity standard substance, the mass concentration of which is 0.8734 g / g, the relative expansion uncertainty of which is 1.8% and the expansion uncertainty of which is 0.016 g / g. The purity standard substance is prepared by the following steps: selecting human angiotensin II of which the nominal purity is greater than or equal to 99%; carrying out sequence analysis, mass spectrum qualitative identification and primary homogeneity detection to obtain a purity standard substance candidate; and performing uniformity test and stability investigation on the purity standard substance candidate through a mass balance method, performing valuing by adopting the mass balance method and an isotope dilution mass spectrometry, and performing uncertainty evaluation on the purity standard substance candidate to obtain the purity standard substance. The human angiotensin II purity standard substance is accurate and reliable in valuing result, has traceability, and can be used for human angiotensin II quantity value traceability, measurement result quality control and standard substance evaluation.

The invention provides a dynamic multi-modal biological sequence staged pre-training system for precise breeding, which comprises a multi-modal data organization unit used for collecting a single-modal sequence, generating a two-modal pairing sequence, constructing a three-modal interpenetrating sequence and simulating biological information transmission; the unified sequence representation unit is used for performing unified word segmentation on each modal sequence and adding modal marks; the progressive pre-training strategy unit is used for training in three stages and dynamically adjusting the modal mixing proportion in combination with a simulated annealing strategy; the cross-modal autoregression unit realizes prediction conversion between modals; the sequence feature extraction and prediction unit is used for obtaining a quantitative prediction value. The invention further provides a dynamic multi-mode biological sequence staged pre-training method for precise breeding. Therefore, the biological sequence feature prediction precision can be remarkably improved, the training convergence speed is increased, the performance equivalent to that of a large model is achieved, the cost is low, flexible deployment in various environments can be achieved, and efficient, accurate and low-cost technical support is provided for biological sequence analysis.

Disclosed herein are sequencing systems and sequencing methods for training neural networks and for utilizing the trained neural networks for sequencing analysis after acquiring flow cell images using the sequencing systems. The sequencing systems disclosed herein can include Field-Programmable Gate Array (FPGAs), artificial intelligence (AI) chips, or a combination thereof.

The invention relates to the technical field of biology, in particular to a primer combination, application of the primer combination and a method for qualitatively and quantitatively detecting target fish based on eDNA. The invention provides a primer combination, a kit and application of the primer combination to detection of fish species and / or detection of fish quantity. A target species is taken as a detection object, water sample environment DNA is extracted, a specific primer is used for PCR amplification, and an amplification product is subjected to sequencing analysis, so that whether a water body contains the target species or not is obtained, plasmids corresponding to target fragments of the target species are constructed on the basis, and a standard curve of the copy number and the cycle number of the target species is successfully drawn; and quantitatively analyzing the target species fish in an unknown water area.

The invention is suitable for the technical field of gene sequencing, and provides a nanopore sequencing signal identification method and system based on Transform, and the method comprises the following steps: carrying out normalization processing on a nanopore sequencing signal, and segmenting the nanopore sequencing signal into signal windows with fixed lengths; signal features are extracted through a Transformer encoder comprising a convolutional layer and a multi-head self-attention module; generating a prediction probability of a current base through a cross attention mechanism by adopting an autoregressive Transform decoder and combining the signal features and context information of a decoded base sequence; iteratively generating an optimal base sequence based on a beam search algorithm, and optimizing decoding efficiency in combination with key value cache; and carrying out overlapping region fusion and quality control on a segmented decoding result, and outputting a final sequence. According to the method, the precision and reliability of nanopore sequencing in complex biological sequence analysis are remarkably improved, and the recognition accuracy on multiple gene sequencing data sets is higher than that of an existing CTC-based model.

The invention discloses black-bone chicken liver hydrolyzed peptide capable of improving ulcerative colitis as well as a preparation method and application of the black-bone chicken liver hydrolyzed peptide, and belongs to the technical field of biological medicines. The preparation method of the black-bone chicken liver hydrolyzed peptide comprises the following steps: preparing the black-bone chicken liver into meat paste, mixing the meat paste with water to obtain a liquid material, heating the liquid material, adding alkaline protease to carry out enzymolysis, carrying out enzyme deactivation, centrifugally collecting supernate, and freeze-drying to obtain the black-bone chicken liver hydrolyzed peptide. According to the invention, a formaldehyde titration method is adopted to detect the degree of hydrolysis, SDS-PAGE electrophoresis and Tricine-SDS-PAGE electrophoresis are adopted to detect the molecular weight, LC-MS / MS is adopted to carry out sequence analysis, a database is adopted to predict the biological function of a peptide fragment, an in vitro experiment is adopted to detect the antioxidant and antihypertensive ability of the black-bone chicken liver peptide, and a mouse experiment is adopted to detect the colitis improvement effect of the black-bone chicken liver peptide. The result shows that the black-bone chicken liver peptide prepared by the invention has the advantages of resisting oxidation, reducing blood pressure and improving ulcerative colitis.

The invention discloses a method for detecting accessibility of space chromatin and application of the method. The method comprises the following steps: (1) slicing a tissue sample to be detected on a chip with spatial information; (2) fixing, permeabilizing and dyeing a tissue sample to be detected; (3) preparing fragmented genome DNA (deoxyribonucleic acid); (4) performing DNA hybridization based on a transfer mode; (5) carrying out connection and terminal repair reaction on the fragmented genome DNA by using DNA polymerase and DNA ligase; (6) denaturation and melting; and (7) sequencing. According to the method, the transcriptional activity state of chromatin can be reflected through chromatin accessibility sequencing analysis, staining imaging and chromatin accessibility information can be obtained on the same tissue slice at the same time without complex micro-fluidic equipment, experimental operation is easy, repeatability is high, and the analysis result is more remarkable.

The invention belongs to the technical field of antibody preparation, and particularly relates to an anti-CD38 nano antibody as well as a preparation method and application thereof. The method comprises the following steps: constructing and expressing CD38 antibody protein, immunizing alpaca, obtaining immune alpaca PBMC (peripheral blood mononuclear cells), extracting RNA (ribonucleic acid) of the cells, carrying out reverse transcription to obtain cDNA (complementary deoxyribonucleic acid), carrying out PCR (polymerase chain reaction) to obtain antibody gene segments, constructing the antibody gene segments on a phage expression vector to construct a CD38 immune antibody library, carrying out two rounds of panning, carrying out Clone ELISA (enzyme-linked immuno sorbent assay) detection on clones to obtain an antibody combined with the CD38 protein, carrying out sequencing analysis, and selecting a unique sequence. High-throughput expression is carried out through a mammalian cell high-throughput expression system, antibody protein is obtained, FACS detection is carried out through a CD38 high-expression cell line, and finally the antibody combined with CD38 is obtained. The method is simple and rapid to operate, a mammalian cell expression system induces efficient expression of the antibody, processing modification can be performed after translation, and the activity of the antibody is closer to that of a natural antibody.

The application discloses a high-sweetness-amino-acid-content Flammulina velutipes variety and a MNP molecular identification method and application thereof. The Flammulina velutipes variety has excellent properties, the cap is not easy to open, the content of sweet amino acids is high, the diversified market demand is met, the factory annual bottle cultivation is suitable, and the Flammulina velutipes variety has a good application and popularization prospect. The MNP molecular fingerprint of the Flammulina velutipes variety 'Shangyan A111' is comprehensive multiple amplification and sequencing technology, sequence analysis of all marker sites of multiple samples can be performed at one time, compared with ISSR, RAPD, SSR and other molecular markers and mushrooming test, the MNP molecular fingerprint has the advantages of high throughput, multi-target, high sensitivity and high precision. The MNP molecular fingerprint of the Flammulina velutipes variety 'Shangyan A111' has specificity and specificity in identifying the Flammulina velutipes strain 'Shangyan A111'.

This invention belongs to the field of biodetection technology, specifically relating to a monoclonal antibody combination for detecting the N protein of porcine reproductive and respiratory syndrome virus (PRRSV) and its application. The combination consists of monoclonal antibodies 1D7 and 5C7. Sequence analysis has clarified the CDR amino acid sequences of the heavy and light chain variable regions, as shown in SEQ ID NO.1-SEQ ID NO.12, and a double-antibody sandwich ELISA detection method has been established based on this. This method uses 1D7 as the coating antibody and 5C7 as the labeling antibody, achieving a sensitivity of up to 100 pg / mL, high specificity, no cross-reactivity with irrelevant antigens such as PEDV, and effectively detecting the N protein in PRRSV vaccine strains such as JXA1-R and R-98. This invention can be used for rapid detection of PRRSV antigen in clinical samples and for vaccine quality control.