1040 results about "Metabolic pathway" patented technology

Disclosed is a system for detecting whether the breast cancer is benign or malignant based on multiple modalities, which comprises: an ultrasonomics model configured to extract breast tumor position information and breast tumor morphological features on the basis of an acquired grayscale breast ultrasound image, perform global interactive fusion on the breast tumor position information and breast tumor morphological feature information, and convert a Transformer encoder-based feature output into an output vector of the corresponding classification dimensions by means of a fully connected layer; a metabonomics model configured to obtain a metabolic fingerprint spectrogram and analyze the metabolic fingerprint spectrogram on the basis of a metabolic database and a predetermined significantly differential metabolite to obtain abnormal metabolic pathways, signal transduction pathways, and related biochemical reactions associated with breast cancer malignancy; and a detection module configured to perform joint modeling, based on the breast tumor position information, the breast tumor morphological features, and a peak value of the significantly differential metabolite of the breast cancer malignancy, to output a prediction result about whether the breast cancer is benign or malignant.

The invention relates to the field of gene engineering, and discloses a D-3-phosphoglycerate dehydrogenase mutant, a coding gene thereof and application of the D-3-phosphoglycerate dehydrogenase mutant and the coding gene. Compared with a protein with an amino acid sequence as shown in SEQ ID NO: 1, the mutant comprises mutation at the 131 site and / or the 285 site. The mutant can specifically catalyze a substrate 3-phosphoglycerate to synthesize 3-phosphate-hydroxypyruvic acid, can effectively promote synthesis of L-serine in a metabolic pathway of microorganisms, improves the yield and conversion rate of the L-serine, and reduces the yield of byproducts at the same time.

The invention discloses a gastric cancer recurrence risk prediction method based on metabonomics characteristic analysis. The method comprises the following steps: S1, constructing a metabonomics data set; s2, the collected metabonomics data set is preprocessed; s3, extracting metabolite characteristics related to gastric cancer recurrence; s4, based on the extracted metabolite features, using a metabolic pathway integration method to quantify disturbance of each metabolic pathway, and calculating the abnormal degree of metabolite concentration change in the metabolic pathways; s5, constructing a multi-dimensional feature matrix containing a metabonomics data set, metabolic pathway integrals and patient individual information; s6, inputting the multi-dimensional feature matrix into a trained machine learning model, and outputting a gastric cancer recurrence risk score of the patient; and S7, generating a prediction report according to the recurrence risk score. According to the method, by combining metabonomics characteristic analysis, the space-time coupling quantum optimization network and the nonlinear disturbance model, the problems of insufficient real-time performance and insufficient data integration in gastric cancer recurrence risk prediction in the prior art are solved.

The invention discloses a molecular property prediction large language model construction method based on a knowledge graph. The method comprises a plurality of steps: firstly, acquiring pre-training corpora by using a high-throughput data acquisition technology, including related data such as molecular attributes and metabolic pathways; then, a knowledge graph about fourteen end points is constructed based on the data, and the knowledge graph represents the relation between the molecules and the attributes and the end points of the molecules in a triple form; thirdly, pre-training the large language model by using a LoRA technology, optimizing the model by adopting an incremental learning strategy, and forming an expert large model; then, a triple related to the target endpoint is retrieved from the knowledge graph through the RAG technology, and retrieval results are sorted; and filtering the retrieved triple through cue word design and an expert large model, and extracting key information. And finally, converting the filtered triple list into a natural language, inputting the natural language into an expert large model, generating a prediction result of molecular properties, and providing a reasoning basis. According to the method, the accuracy and efficiency of molecule and endpoint chemical reaction prediction are remarkably improved.

The invention belongs to the technical field of gene engineering, and particularly relates to application of a ZmDIR11 gene in regulating and controlling salt stress resistance of corn. After salt stress treatment, it is found that the ZmDIR11 gene mutant corn plant growth vigor and material accumulation are significantly lower than those of a wild type B73 material, an oxidative metabolism regulation path, proline accumulation, chlorophyll synthesis, lignan accumulation and a Na < + > / K < + > transport pathway are inhibited, and related metabolic indexes are significantly lower than those of the wild type B73 material. It is shown that the ZmDIR11 gene positively regulates and controls the salt-resistant metabolic pathway of the corn in the corn, and the salt tolerance of the corn is reduced after the ZmDIR11 gene is mutated. The research provides a new gene resource for corn salt-tolerant breeding by utilizing gene engineering.

The invention relates to the technical field of genetic engineering, and particularly discloses a genetic engineering bacterium for producing melanin as well as a construction method and application of the genetic engineering bacterium. According to the application, the yield of the melanin can be effectively increased by modifying a metabolic pathway of the genetically engineered bacterium, and the yield of the melanin reaches 6.2 g / L and 18.5 g / L respectively through shake-flask culture and 5L fermentation tank culture. Compared with the prior art, the yield of melanin produced by the genetically engineered bacterium is improved by 30% at the shake flask fermentation level, the fermentation yield of a fermentation tank is improved by 4.3 times, in addition, expensive tyrosine is changed into glucose as a fermentation precursor substance, the production cost is greatly reduced, and an efficient and feasible solution is provided for large-scale production of melanin.

The invention discloses a mesophilic carotenoid-producing recombinant yarrowia lipolytica strain as well as a construction method and application thereof, the recombinant strain exogenously expresses mesophilic original fatty acid desaturase (FAD3) and isocitrate dehydrogenase (IDH2) mutants from phaffia rhodozyma, and efficient synthesis under the condition of 30 DEG C is realized; secondly, a metabolic pathway of the recombinant strain is optimized based on a metabolic flow push-pull strategy, and isopentenyl pyrophosphate isomerase (IDI), farnesyl pyrophosphate synthase (ERG20), plant alkene dehydrogenase (CarB) and bifunctional plant alkene synthase (CarRP) are overexpressed, so that the flux of a precursor is increased; finally, gene multi-copy of astaxanthin synthase (crtS) and cytochrome P450 reductase (crtR) from phaffia rhodozyma is carried out, and the carotenoid production capacity of yarrowia lipolytica is further improved. The construction method of the mesophilic yarrowia lipolytica is simple, efficient synthesis of carotenoid can be better achieved at the higher temperature, the fermentation cost is greatly reduced, and the industrial production potential is achieved.

The invention discloses construction and application of an L-malic acid producing issatchenkia orientalis strain, and belongs to the technical field of microorganisms and the technical field of microbial fermentation and metabolic engineering. Through a metabolic engineering means, a cytoplasm metabolic pathway of an issatchenkia orientalis strain is transformed, and a pyruvate decarboxylase coding gene, glycerol dehydrogenase and lactic dehydrogenase are knocked out; a pyruvate carboxylase gene derived from aspergillus flavus, a malate dehydrogenase gene derived from corynebacterium glutamicum and phosphoenolpyruvate carboxylase derived from escherichia coli are screened and integrated, so that a cytoplasm rTCA cycle synthesis pathway is enhanced; inserting a dicarboxylic acid external transporter gene from schizosaccharomyces cerevisiae at a neutral site GD21, and knocking out endogenous dicarboxylic acid internal transporter; the L-malic acid yield of the modified yeast strain in the fermentation process is remarkably increased and reaches 140.16 g / L. The engineering strain provided by the invention has good industrial application potential in efficient L-malic acid production.

The present disclosure provides a recombinant yeast host cell having a plurality of native and / or heterologous enzymes that function in an engineered metabolic pathway to convert fructose-6-phosphate to acetyl-coenzyme A. The recombinant yeast host cell can be used, for example, in a process for making acetyl-coenzyme A, acetone and / or isopropanol. The plurality of native and / or heterologous enzymes is activated, upregulated, or overexpressed. The plurality of native and / or heterologous enzymes comprises a phosphoketolase; and optionally an acetate kinase; and / or a phosphotransacetylase. The recombinant yeast host cell comprises at least one of: at least two copies of a heterologous nucleic acid molecule encoding the phosphoketolase; a native and / or heterologous enzyme that functions in an engineered non-oxidative pentose phosphate pathway, wherein the native and / or heterologous enzyme is activated, upregulated, or overexpressed; and / or a native and / or heterologous protein that functions in an engineered metabolic pathway to convert pantothenate into acetyl-coenzyme A, wherein the native and / or heterologous protein is activated, upregulated or overexpressed and comprises at least one of: FEN2 or CAB1.

The invention discloses a gene and a protein for adjusting tobacco polyphenol aroma substances and application of the gene and the protein. The gene is a tobacco NtMYB28 gene, and the CDS sequence of the tobacco NtMYB28 gene is as shown in SEQ ID No. 1. The invention further discloses application of the tobacco NtMYB28 gene in regulating the content of endogenous polyphenol substances in tobacco and regulating and controlling the metabolic pathway of phenylpropane in tobacco. The key gene NtMYB28 capable of simply and effectively adjusting the content of polyphenol substances in tobacco and the metabolic pathway of phenylpropane is found, and the gene can be applied to efficient cultivation of new high-aroma tobacco materials and development and utilization of new high-value functional tobacco germplasm.

The invention discloses a tomato fruit cracking key regulation gene identification method, through the method, 41 key genes for regulating tomato cracking are determined and obtained for the first time, and the genes mainly participate in plant hormone synthesis, cell wall metabolism, wax and cuticle metabolism, absorption and transportation of mineral elements and water, and some transcription factors. Two regulation networks are established and comprise an ethylene-cell wall metabolic pathway and a transcription factor-water channel-mineral element. The research combines high-throughput sequencing and molecular biological techniques, enriches the cracking mechanism of tomato fruits on transcription and translation levels, and thus, has important scientific significance and application prospects.

The invention is applicable to the technical field of bioengineering, and provides a coding gene for enhancing iron deficiency stress tolerance of plants and application. According to the soybean GmMYB14 transcription factor disclosed by the invention, the problem that the growth of soybeans is limited in an iron-deficient environment, particularly calcareous soil and soda saline alkali soil, is solved by excavating and applying the encoding gene (the nucleotide sequence is shown as SEQ ID No.1) of the soybean GmMYB14 transcription factor. Experiments prove that after the gene is over-expressed in arabidopsis thaliana and soybean, the tolerance of plants to iron deficiency stress can be remarkably enhanced. The invention provides a key gene resource for molecular breeding: the GmMYB14 effectively promotes the absorption and utilization of plants on iron by regulating and controlling the metabolic pathway of phenylpropane, not only can improve the planting adaptability of soybeans in low-iron soil, but also can improve the yield and quality of the soybeans, provides powerful technical support for enlarging the planting area of the soybeans in iron-deficient soil regions, and has a wide application prospect. The method is of great significance in relieving insufficient soybean productivity in China and improving the self-sufficiency rate.

The invention relates to the field of bioelectricity data processing, and discloses a tumor cell metabolite distribution three-dimensional reconstruction method and system based on artificial intelligence, and the method comprises the steps: collecting the multi-modal data of tumor cells, recognizing the entity elements of the tumor cells and the corresponding entity relationship from the multi-modal data, and obtaining the entity relationship of the entity elements of the tumor cells; constructing a metabolite knowledge map of the tumor cells; according to the space coordinates of the metabolites and the microenvironment characteristic data of the tumor cells, analyzing a space aggregation mode of the metabolites in the tumor cells; in combination with the spatial distribution mode and the biological metabolic pathway of the metabolites, key features of the metabolites in the tumor cells are extracted, and a metabolite distribution discrimination network of the tumor cells is established; and identifying an abnormal distribution mode of the metabolite in the tumor cells, constructing a metabolite distribution three-dimensional model of the tumor cells, and outputting a metabolite three-dimensional distribution result of the tumor cells. According to the method, the accuracy and comprehensiveness of the three-dimensional distribution result of the tumor cell metabolites can be improved.

The invention belongs to the technical field of biology, and discloses a method and application for regulating and controlling the fermentation process of schizochytrium limacinum through plant hormones to improve the oil titer, and the method is characterized in that in the fermentation process of schizochytrium limacinum, one or more plant hormones are added into a culture medium to promote accumulation of oil. Plant hormones are added into a fermentation culture medium of schizochytrium limacinum, the plant hormones comprise gibberellin (GB), 6-benayl aminopurine (6-BAP), forchlorfenuron (CPPU) and brassinolide (BR), and the plant hormones promote grease accumulation by adjusting activity of enzymes related to fatty acid synthesis, so that the plant hormones can adjust metabolic pathways of the schizochytrium limacinum and promote grease accumulation. The synthesis efficiency and the yield of the grease are obviously improved.

The invention relates to the technical field of teasel breeding, and discloses a teasel germplasm resource multi-character collaborative screening breeding method, which comprises the following steps: multi-omics data acquisition: extracting teasel germplasm leaf DNA (deoxyribonucleic acid), and capturing exon regions of disease resistance and metabolism related genes by adopting a targeted sequencing technology to obtain an SNP (single nucleotide polymorphism) marker matrix; the method comprises the following steps: collecting root extracts, detecting medicinal components through ultra-high performance liquid chromatography-mass spectrometry, and constructing a metabolite abundance matrix; measuring phenotype data of plant height, root length, root weight, root rot morbidity and survival rate under drought stress; key site and metabolite correlation analysis: constructing a Bayesian network containing SNP markers, metabolite and phenotypes by using a graph database, and carrying out cross validation through a leave-one-out method. The dipsacus asper germplasm resource multi-character collaborative screening breeding method aims at solving the problem that a traditional breeding method lacks systematic integration analysis of genomes and metabolic pathways in dipsacus asper multi-character collaborative improvement.

The invention discloses a large-model-driven intelligent biosynthesis system and method, and the system employs a centralized multi-large-model intelligent agent architecture, and executes a task through a modularized intelligent agent. The system is composed of a man-machine cooperation interaction module, a global task management module, a general information retrieval module, a reverse path planning module, a protease modification module, a metabolic pathway optimization module, a wet experiment tool execution module and a code execution module. Each module integrates different tools and data sources for specific task fields. By means of the system, complex biosynthesis experiment design, planning and execution can be completed autonomously, functional modules and wet experiment feedback can be dynamically adapted, and the flexibility of experiment planning is ensured.

The present disclosure provides a recombinant yeast host cell for converting a carbohydrate to ethanol and acetone. The recombinant yeast host cell comprises an engineered metabolic pathway to convert acetyl-CoA to acetone, a downregulated native alcohol dehydrogenase (ADH) gene, and a heterologous alcohol dehydrogenase.

The invention relates to a method for regulating and controlling gene expression of lactic acid bacteria in shrimp acid fermentation based on systematic biology. The method comprises the following steps: constructing a gene regulation network of lactic acid bacteria by using whole genome data and a high-throughput sequencing technology comprising RNAseq; through clustering analysis and network reconstruction, transcription factors and enzymes of key metabolic pathways of lactic acid generation, acid resistance and glycometabolism are identified, and a dynamic regulation and control model of gene expression is established; a GeneNet or Cytoscape software tool is used, genomics, transcriptomics and metabonomics data of lactic acid bacteria are fused in a multi-layer network, a metabolism regulation and control system is constructed, and the metabolism regulation and control system comprises gene expression regulation and control and real-time change of metabolic flow; the method comprises the following steps: constructing a metabolic flux dynamic model of lactic acid bacteria based on a metabolic flux analysis MFA and a dynamic system modeling technology, and analyzing a mutual relation between a lactic acid generation path and a byproduct generation path; fBA is analyzed through flow equilibrium, and the metabolic network of lactic acid bacteria is optimized.

The invention discloses a construction method of a soil microorganism nitrogen metabolism function prediction model, and relates to the technical field of environmental microbiology and agricultural information, and the method comprises the following steps: S1, constructing a spatial-temporal heterogeneity representation engine, and dynamically decoupling a multi-level gradient of a soil environment through an adaptive spatial-temporal mesh generation algorithm; according to the construction method of the soil microorganism nitrogen metabolism function prediction model, the adaptive capacity of the soil microorganism nitrogen metabolism function prediction model in a complex environment is improved, and multi-level environment gradient dynamic analysis from a centimeter-level rhizosphere microdomain to a kilometer-level landscape scale is realized; the problem of cross-scale feature fusion caused by temporal-spatial resolution mismatch of a traditional model is solved, the simplified hypothesis of a traditional statistical model on the synergistic-antagonistic relationship of microbial functional genes is broken through, a dynamic coupling mechanism of a nitrogen metabolism path under environmental disturbance is accurately quantified, and the prediction error is reduced compared with the prior art.

The invention relates to the technical field of collaborative prediction, in particular to a plant polygene stress resistance collaborative prediction method and system based on a federal map neural network. The method comprises the following steps: modeling a multilayer heterogeneous graph according to acquired plant genome data; constructing a dynamic graph neural network model based on time sequence perception; training a dynamic graph neural network model by using the multi-layer heterogeneous graph, and performing distributed privacy calculation on the multi-layer heterogeneous graph by using a federated graph neural network; generalization training is carried out on the small sample scene data based on multi-task learning and a cross-species migration mechanism; and obtaining a gene function prediction result. Through a multi-layer heterogeneous graph fusion technology and a dynamic graph neural network design of time sequence perception, multi-dimensional biological information such as gene regulation, protein interaction, metabolic pathways and stress response can be captured at the same time, and time sequence change characteristics of gene expression in the plant stress response process can be captured at the same time.

The invention relates to the technical field of bioinformatics, in particular to a mining method and system for synthetic biology functional elements and a storage medium. The method comprises the following steps: acquiring functional demand data of a target metabolic pathway; performing evolutionary distance analysis and function prediction on homologous genes of a plurality of species according to the function demand data, and performing protein structural domain conservative classification on preset genome sequence data to obtain candidate element cluster data with function relevance; obtaining expression system data of the host cells; and according to the candidate element cluster data and the expression system data, scoring each functional element based on codon optimization degree, protein folding stability and metabolic load prediction to obtain hierarchical element suitability data. According to the method, factors such as sequence characteristics, expression efficiency and regulation and control network interaction are considered at the same time, multi-level accurate screening is achieved, and therefore the low efficiency and limitation of a traditional screening mode are overcome.

The invention discloses application of MUC12 gene in preparation of drugs for reducing rectal cancer liver metastasis, and belongs to the technical field of medical biology. According to the invention, the clear relation between colorectal cancer liver metastasis and fructose metabolism reprogramming is revealed from a molecular mechanism for the first time. The invention provides a brand-new therapeutic target and strategy by determining the brand-new transfer promoting factor MUC12 and the mediated fructose metabolism regulation effect thereof. Different from the traditional therapy only aiming at the strategies of tumor cell proliferation, blood supply and the like, the method disclosed by the invention intervenes aiming at a tumor nutrition metabolic pathway, and can weaken the metabolic adaptation and proliferation capacity of metastatic tumor cells in the liver more specifically. Experimental results show that the functions of targeted inhibition of MUC12 or downstream fructose metabolism key enzymes KHK and ALDOB thereof can significantly reduce the invasion and metastasis ability of tumor cells, and at the same time, normal growth of primary tumors cannot be significantly affected.

The invention provides a Baijiu brewing process simulation method and system, and the method comprises the steps: constructing a metabolic network model of a flavor synthesis path in a Baijiu brewing process, initializing the boundary condition of the metabolic quantity in the metabolic network model, and carrying out the flux balance constraint of the metabolic path of a target flavor substance according to the boundary condition, obtaining the constraint flux of the metabolic pathway of the target flavor substance, and further calculating the metabolic flux distribution of the target flavor substance in the white spirit brewing process; determining a reaction rate constant of each process parameter combination according to the concentration gradient characteristic and the spatial distribution characteristic of the concentration change information of the target flavor substance; and performing metabolism simulation on the brewing reaction of the target flavor substance according to the metabolic flow distribution and each reaction rate constant, outputting the metabolic quantity of the target flavor substance under each process parameter combination, and further screening the brewing process parameters of the target flavor substance. Based on the scheme, multi-parameter metabolism simulation of a flavor substance synthesis path in a white spirit brewing process can be realized.

The invention belongs to the technical field of biological medicines, and particularly relates to a postbiotic hydrogel for relieving alcoholic gastric ulcer as well as a preparation method and application thereof. The metagen hydrogel for relieving the alcoholic gastric ulcer, provided by the invention, is mainly prepared from metagen of rhamnobacter and modified lactoferrin; the lactobacillus rhamnosus is lactobacillus rhamnosus JM023. Tests prove that when the postbiotic hydrogel is applied to an alcoholic gastric ulcer rat model, the occurrence of gastric ulcer can be inhibited by inhibiting oxidative stress and inflammatory response and improving protection factor secretion; and the alcoholic gastric ulcer is relieved by regulating and controlling the expression of oxidation, inflammation, cell apoptosis and tissue repair related metabolic pathways and regulating gastrointestinal flora. The metagen hydrogel disclosed by the invention has the effect of effectively relieving gastric ulcer symptoms caused by alcohol, and is suitable for being developed and applied as a medicine or a health-care product for relieving alcoholic gastric ulcer.

The embodiment of the invention discloses a sleep peptide and differential metabolite detection method for caenorhabditis elegans, belongs to the technical field of organism metabolism, and aims to research sleep-awakening key metabolite of caenorhabditis elegans and a regulation mechanism of the sleep-awakening key metabolite. According to the sleep peptide for caenorhabditis elegans, the sleep peptide is an F4 monomer as shown in SEQ ID NO: 1. Compared with the prior art, the sleep and awakening process of the caenorhabditis elegans under the intervention of the goat milk-derived sleep peptide is analyzed through a metabonomics technology, the key metabolite for regulating and controlling sleep and awakening is successfully screened out, and a core metabolic pathway related to the key metabolite is disclosed. The application also constructs a metabolite-pathway-target regulation framework, fills the blank of sleep research in the aspect of metabolic regulation, provides a scientific basis for a sleep intervention strategy based on metabolic regulation, and also lays a foundation for developing metabolic markers of sleep states in the future.

The invention discloses a method for rapidly detecting bacterial drug resistance by combining a bacterial metabolism fingerprint spectrum after short-time antibiotic stimulation with machine learning. Bacteria are incubated in a liquid culture medium containing antibiotics with break point concentration for a short time, the metabolic pathway of the bacteria can be changed, and then generation of downstream metabolites is affected. As the drug-resistant bacteria have a special drug-resistant mechanism, the change of the metabolic state of the drug-resistant bacteria is different from that of the sensitive bacteria. Analyzing the metabolite fingerprint spectrum of the bacteria after short-time stimulation of the antibiotics by adopting matrix-assisted laser desorption ionization time-of-flight mass spectrometry; after data acquisition, classified analysis is performed through machine learning, so that rapid detection of the antibiotic resistance of bacteria is realized. Compared with the prior art, the method has the advantages that bacterial drug resistance detection can be completed within 2 hours, high practicability and operability are achieved, and meanwhile the method has the advantages of being high in throughput and low in experiment cost.

The invention provides a diabetes mellitus intestinal microbial marker, application thereof and a method for constructing a diabetes mellitus detection model, and belongs to the technical field of medicine and biomedicine. The method comprises the following steps: extracting biomarkers related to the pathogenesis and progress of diabetes from metagenome data, constructing a random forest model by using a random forest algorithm, and training and testing the constructed random forest model by using a training set and a test set to obtain a diabetes detection model. According to the diabetes detection model, differential bacteria of a diabetic patient and a healthy control can be identified more accurately, so that the accuracy of early auxiliary diagnosis of diabetes is improved, and the treatment effect is improved. The invention provides specific intestinal microbial markers for identifying diabetes mellitus, which reveal the change in the metabolic pathway of the host-microorganism associated with diabetes mellitus, contributing to the discovery of new biomarkers or therapeutic targets for diabetes mellitus.

The present invention discloses a yeast engineering bacterium containing a (-)-α-bisabolol synthase mutant and its application. By designing (-)-α-bisabolol synthase, the present invention obtains a mutant with high expression level, co-expresses the mutant with ERG20, highly expresses the key rate-limiting enzymes in the metabolic pathway, deletes the promoter to reduce the side reaction pathway, and adopts a multi-copy strategy to improve the metabolic flux in the (-)-α-bisabolol biosynthesis pathway. The shake-flask fermentation yield of the yeast engineering bacterium constructed by the present invention is close to 70 mg / L, which is about 35 times higher than that of the starting strain, and has broad application prospects in the biological fermentation production of (-)-α-bisabolol.

The invention relates to the technical field of immune cell culture, in particular to an immune cell culture data monitoring method and system based on activation analysis. When the immune cell culture equipment monitors that the signal protein is conducted on the abnormal standard signal channel, the real-time metabolic network is reduced based on the interference degree of the abnormal standard signal channel on the metabolic pathway, the metabolic enzyme concentration is calculated and analyzed, and a metabolic activity monitoring reference is generated; if it is monitored and detected in real time that unreasonable metabolism conditions exist in metabolic data of immune cell culture, peak integral deviation parameters for cell factor compensation are constructed based on the metabolic enzyme concentration deviation value of the metabolic activity monitoring benchmark to conduct injection compensation regulation and control on cell factors of the cultured immune cell sample. According to the method, the abnormal proliferation data, the abnormal proliferation-causing signal path data and the metabolic data in the immune cell culture process can be subjected to rapid and accurate activation analysis, so that the immune cell activation performance can be better optimized, and the culture quality is improved.

The embodiment of the invention provides a recombinant pichia pastoris strain as well as a construction method and application thereof. The construction method comprises the following steps: by taking a pichia pastoris strain as a host strain, constructing a dual-synthesis path of phenylalanine ammonialyase and tyrosine ammonialyase in the host strain to obtain a first engineering strain; removing chorismic acid feedback inhibition of the first engineering strain based on metabolic engineering to obtain a second engineering strain; optimizing an aromatic amino acid synthesis route of the second engineering strain to obtain a third engineering strain; knocking out a branch metabolic pathway of the third engineering strain to obtain a fourth engineering strain; increasing precursor supply of the fourth engineering strain to obtain a recombinant pichia pastoris strain; according to the construction method provided by the embodiment of the invention, the synthesis path of p-coumaric acid can be systematically optimized, the recombinant pichia pastoris strain for efficiently producing p-coumaric acid by taking methanol as a carbon source is constructed, and compared with a host strain, the recombinant pichia pastoris strain has the advantage that the yield of p-coumaric acid is remarkably increased.