140 results about "Synexpression" patented technology

The invention discloses a key gene identification method related to tobacco nitrogen response, which comprises the following steps: S1, setting four nitrogen fertilizer gradient treatments on the basis of same phosphorus and potassium fertilization by adopting a field experiment of a completely random block; s2, randomly taking the 6th to 8th leaves of the five plants in each area, and dividing a sample into two parts: quickly freezing one part with liquid nitrogen, and storing at-80 DEG C for RNA (Ribonucleic Acid) extraction and transcriptome sequencing; one part is used for measuring the nitrogen content, and after baking and drying treatment, a KjeltecTM8100 automatic nitrogen analyzer is used for measuring; s3, nitrogen content determination: determining the nitrogen content in the treated sample by using an automatic nitrogen analyzer KjeltecTM8100; according to the method, high-throughput transcriptome sequencing and weighted gene co-expression network analysis (WGCNA) are combined, so that not only can gene expression maps of flue-cured tobacco leaves treated by different nitrogen fertilizers be comprehensively captured, but also gene modules with similar expression modes can be mined from a global perspective.

The invention relates to the field of microbial metabolism engineering, and discloses a method for increasing the yield of 2 '-fucosyllactose (2'-FL) through the synergistic effect of various alpha-1, 2-fucosyltransferases. According to the method, two or more alpha-1, 2-fucosyltransferases with different sources are co-expressed in microbial cells, and the complementary enzymatic characteristics of the alpha-1, 2-fucosyltransferases are utilized, so that the synthesis efficiency of the 2 '-FL is remarkably improved, and the yield of the 2'-FL is effectively improved. The microbial cell is escherichia coli C43 (DE3) (E. coli C43 lacZ waaF with lacZ and waaF genes knocked out, the serial number is SL), a pETDuet-1 plasmid is constructed, and genes manB, manC, gmd, wcaG and zwf are overexpressed on a pETDuet-1 vector, so that the microbial cell can be used for preparing the microbial cell. In a 5L fermentation tank, after the final strain SL07 is used for final fermentation for 68 hours, the yield of 2 '-FL reaches 148g / L, and the production intensity reaches 2.18 g / L / h. The embodiment shows that the engineering strain for co-expressing the alpha-1, 2-fucosyltransferase from different sources can obviously improve the yield of the 2 '-FL.

The invention discloses a prognosis evaluation method and system for diffuse large B-cell lymphoma. According to the method, firstly, a gene module closely related to lipid metabolism is screened from DLBCL transcriptome data through weighted gene co-expression network analysis (WGCNA), and then eight key prognosis genes including FNDC1, IL22RA2, C15orf48, OMD, MFAP2, BC017398, CXCL6 and TNFAIP6 are identified from the module by adopting multi-step regression analysis (single factor Cox, LASSO and multi-factor Cox). A risk scoring model is constructed based on the expression levels and regression coefficients of the genes, and DLBCL patients can be divided into a high-risk group and a low-risk group with significant survival differences. The risk score and the clinical pathological factors are further integrated to construct a column graph, and individualized survival probability prediction can be achieved. The invention further provides a corresponding prognosis evaluation system, electronic equipment and a storage medium. An independent data set verifies that the prognosis model has excellent prediction performance and clinical practical value.

The invention provides a pathogenic driver gene prediction method based on biological network fusion and related equipment. The method comprises the following steps: acquiring data of various driver genes for training; constructing an initial gene relationship map based on protein interaction, gene sequence similarity, KEGG pathway co-occurrence, a gene co-expression mode and semantic similarity of a gene ontology, and embedding various human driven gene data for training into each node in the initial gene relationship map to obtain various gene relationship maps; performing dynamic adjustment on each gene relationship map through edge discarding, feature discarding and difficult sample recognition enhancement to obtain an adjusted gene relationship map for training the constructed pathogenic driving gene prediction model to obtain a trained pathogenic driving gene prediction model; inputting the target driver gene data into the trained pathogenic driver gene prediction model for prediction to obtain a prediction result; and the accuracy and robustness of pathogenic driver gene prediction are improved.

Provided are techniques for generating expression products using one or more nucleic acid concatemers that include tandem repeats of a nucleic acid sequence encoding the expression product or products. In one embodiment, different expression products may be co-expressed using a concatemer mixture of a first nucleic acid concatemer and a second nucleic acid concatemer having a predefined ratio to one another.

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

The application discloses application of SbWOX gene and SbBBM gene in corn breeding and a corn genetic transformation method, and relates to a bioengineering technology.The application provides a nucleic acid molecule with co-expression of SbWOX protein gene and SbBBM protein gene, and corresponding gene co-expression vectors and microbial transformants.The application also provides application of the co-expression of the SbWOX gene and the SbBBM gene in the corn genetic transformation method.The application obtains corresponding genes and mutant proteins based on the SbWOX gene and the SbBBM gene of sorghum, the two genes are co-expressed in the corn genetic transformation process, even without adding plant growth hormones in the antibiotic screening medium in the tissue culture process, the plant genetic transformation process can be normally completed, and the transformation efficiency and the regeneration efficiency of the corn can be remarkably improved, the transformation rate reaches 10.42%, and the differentiation rate reaches 32.89%.

The application provides a construction of a fluorescent protein labeled microtubulin and a microtubule binding protein universal bivalent carrier, and the process is as follows: a first stage is to construct a GFP-alpha tubulin carrier, and a second stage is to construct a GFP-alpha tubulin-mCherry universal bivalent co-expression carrier; in the second stage, 35S, mCherry and NOS sequences are inserted into a KpnI enzyme cutting site of a multiple cloning site of the GFP-alpha tubulin carrier constructed in the first stage, and a single nucleic acid enzyme cutting site is inserted into the 5' end and the 3' end of the mCherry sequence, respectively, and the single nucleic acid enzyme cutting site is XbaI, KpnI / Acc65I and AscI sequences, respectively, so as to obtain the universal bivalent carrier. The universal bivalent carrier provided by the application can express two target genes simultaneously, has the fluorescent signals of GFP and mCherry, can quickly and accurately identify a transgenic plant, is convenient for positive seedling screening, can be used for a tobacco transient expression experiment, can shorten an experimental period, and saves time and effort.

The application belongs to the technical field of biological detection, and discloses a screening method of respiratory tract infection related biomarkers based on macro-transcriptomics. The application performs macro-transcriptome sequencing on respiratory tract infection samples with different clinical phenotypes, performs data quality control, alignment, transcript quantification, retains pathogen and host information, and then identifies genes stably expressed or significantly changed in different groups by combining differential expression analysis and co-expression analysis, obtains potential biomarkers, and obtains the biomarkers by taking the intersection genes of three machine learning algorithms of LASSO algorithm, random forest model and SVM model. The application provides a screening method of biomarkers for rapid and accurate identification of respiratory tract infection.

The present application relates to the field of crop genetic breeding and molecular biology, and particularly relates to a highland barley beta-glucan screening index system and a major gene positioning method, which comprises the following steps: firstly, a three-dimensional coupling screening system of genetic stability, functional activity and agronomic adaptability is constructed, the index combination weight is determined by using an entropy weight method and an analytic hierarchy process, and an AMMI model is combined to correct the environmental effect and calculate the comprehensive score of the germplasm; secondly, a recombinant inbred line and a natural germplasm double positioning population is constructed, and near-infrared spectroscopy is combined with a Transformer model to quickly obtain phenotype data; thirdly, a candidate major effective segment is obtained through double population joint positioning, a major effective gene is screened out by combining a transcriptome and a metabolome co-expression network, and a functional molecular marker is developed. The present application realizes accurate evaluation of highland barley germplasm and accurate positioning of major effective genes, and the phenotype detection is efficient and lossless, the molecular marker selection is accurate, and the present application can also be applied to other cereal crops.

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

The application discloses a kind of screening methods and application of pivot gene related to sheep muscle fatty acid content, to solve the technical problems that local sheep breed sample quantity is limited, traditional single gene analysis method is difficult to analyze fatty acid metabolism regulation from network level.This application carries out transcriptome sequencing to multiple months of muscle tissue of Gangba sheep, constructs gene expression matrix, using weighted gene co-expression network analysis (WGCNA) Combined with module characteristic gene and fatty acid phenotype correlation screening strategy, the pivot gene significantly positively correlated with muscle fatty acid content is obtained.The screening method can construct a robust co-expression network under limited sample size, systematically identify the functional module and core gene related to the content of fatty acids such as linoleic acid, and reveal the dynamics of fatty acid metabolism at different ages, and the method can be extended to other plateau livestock;The screened pivot gene can be used as a molecular breeding marker for early selection of Gangba sheep, and the breeding cycle is shortened.

The present application relates to the field of agricultural biotechnology, in particular to a bidirectional promoter derived from Myceliopthora thermophila and application thereof. The bidirectional promoter derived from Myceliopthora thermophila has a unique bidirectional transcription activity feature, and can simultaneously and efficiently initiate the transcription and expression of two independent genes in the same regulation region in opposite directions. The present application provides a more favorable promoter element for the metabolic engineering of the industrial filamentous fungus Myceliopthora thermophila, significantly simplifies the construction process of a multi-gene co-expression system, and realizes the synergistic expression of two functional genes through a single promoter element, which has a wide application space and market prospect in the production of enzyme preparations, biological medicine products and the like.

The application provides a prostate cancer biochemical recurrence prognosis risk prediction model based on fatty acid metabolism and cancer cell stemness genes and a construction method thereof, wherein the construction method comprises the following steps: S1: data collection: obtaining prostate cancer sample transcriptome data with biochemical recurrence information from a database, and dividing the data into a model training set and a model test set; S2: stemness score analysis; S3: fatty acid metabolism score analysis; S4: based on the analysis results of S2 and S3, identifying a co-expression gene module related to fatty acid metabolism and stemness characteristics in prostate cancer by a co-expression similarity algorithm and a hierarchical clustering algorithm, and obtaining a fatty acid metabolism and stemness-related gene set; S5: constructing a prostate cancer BCR prognosis risk prediction model; S6: constructing a nomogram model; S7: extracting RNA of a to-be-tested sample, constructing a cDNA library, quantifying the expression of the above genes, and calculating the prognosis risk level of prostate cancer through the expression level.

The invention discloses a heart failure key gene identification method and system based on a spline regression model and overall entropy change. The method comprises the following steps of: 1, preprocessing data; 2, analyzing time sequence differential expression; 3, constructing a dynamic co-expression network; 4, network overall entropy change analysis; and 5, screening the heart failure key gene. Compared with an existing analysis scheme in which time sequence differential expression analysis and network topology analysis are mutually independent, a coherent technical system from'capturing gene expression time sequence trend 'to'quantifying gene network overall structure evolution' and then'screening key genes' is constructed. The thought jumps out of the limitation of a single method dimension, and more fitting and more systematic analysis of the continuous nonlinear evolution process of the heart failure are realized. Meanwhile, the spline regression model is matched with dynamic network overall entropy change analysis, so that the synergistic effect of effectively screening and comprehensively analyzing differential genes is achieved.

This invention discloses tree fern. AspiMYB5 The application of genes in regulating the biosynthesis of tree fern phenols belongs to the field of genetic engineering technology, which involves regulating the biosynthesis of tree fern phenols within plants. AspiMYB5 The expression level of the gene, thereby regulating the key enzyme gene of tree fern phenol. AspiPKS6 The expression of [a specific enzyme] and the synthesis of tree fern phenol. This invention uses a yeast library screening method to screen genes affecting key enzymes. AspiPKS6 Expressed transcription factors AspiMYB5 The results were verified using yeast single-hybrid technology (Y1H) and electrophoretic mobility variation analysis (EMSA). AspiMYB5 and AspiPKS6 The promoter exhibits direct physical binding in vitro. Dual-luciferase reporter gene assays further demonstrate that... AspiMYB5 and AspiPKS6 When the promoter is co-expressed, the fluorescence signal intensity is significantly reduced, further confirming... AspiMYB5 It can inhibit AspiPKS6 AspiMYB5 Promoter activity. This invention not only improves the theoretical research on the biosynthetic pathway of tree fern phenols, but also provides key target genes and technical support for regulating the content of secondary metabolites in rare plants through genetic improvement.

The invention belongs to the technical field of biology, and provides endoglucanase FsCel45B of a GH45 family, a related biological material and a high-efficiency expression method of the endoglucanase FsCel45B. The GH45 family endoglucanase FsCel45B comprises the following A1) or A2): A1) a protein with an amino acid sequence as shown in SEQ ID NO: 1; a2) a protein which is obtained by substitution and / or deletion and / or addition of amino acid residues on the amino acid sequence shown in SEQ ID NO: 1 and has the same function as the protein shown in A1). The invention further provides an expression optimization strategy in pichia pastoris, based on a pichia pastoris expression vector pPICZ alpha A, an AOX1 promoter and an alpha-MF signal peptide sequence are replaced and co-expressed with disulfide bond folding isomerase (PDI) and a vesicle transport related gene Ssa4, the expression quantity is improved by combining with the increase of the gene copy number, and the expression optimization strategy has industrial production potential.

The application relates to the technical field of biological information, and discloses a plant stress relief key gene tracing method and system based on transcriptome data. The method comprises the following steps: performing high-throughput transcriptome sequencing on plant leaves of four treatment groups, obtaining clean transcriptome data through quality filtering; obtaining a whole genome expression matrix through transcript assembly and redundancy removal processing, performing intersection screening on stress induction up-regulated genes and relief agent silencing down-regulated genes, and obtaining a stress induction-relief agent silencing candidate gene set; constructing a stress induction co-expression topology network by taking the candidate gene set as a silencing annotation basis, calculating a weighted neighbor silencing rate to obtain a topology feature matrix; training a selective silencing probability prediction model through a logistic regression model by taking the topology feature matrix and the candidate gene set, and performing channel enrichment calculation by taking the silencing probability as a weight to screen and obtain a core tracing gene set. The application improves the biological credibility of key gene tracing results and the cross-scene adaptability of the method.

The invention discloses a targeted nutrient source mining method based on beef cattle intestinal type-host gene interaction, particularly relates to the field of biological information data processing, and is used for solving the problems that existing nutrient source development lacks molecular mechanism verification and is poor in targeting. The method comprises the following steps: firstly, dividing nutrition-associated intestinal types based on microbiome and transcriptome data, and constructing a co-expression network to screen host co-expression specific genes driven by the specific intestinal types; then, establishing a flora metabolite ligand set and host protein receptor model, executing molecular conformation search and Gibbs free energy calculation, and screening high-activity targeting effect factors based on physical affinity; and finally, traversal matching and quantitative screening are carried out on the natural raw material liquid chromatography-mass spectrometry data by using the targeted effect factors, and a targeted nutrition source recommendation list aiming at the specific intestine type is generated. According to the method, multi-omics correlation analysis and molecular thermodynamics verification are fused, and an accurate development closed loop from micromechanism analysis to macroscopic raw material matching is constructed.

The invention relates to the technical field of microbial fermentation and genetic engineering, and particularly discloses a yeast engineering bacterium for efficiently producing plastic depolymerases and application of the yeast engineering bacterium. The engineering yeast takes pichia pastoris as an expression host, a molecular chaperone is co-expressed, a vacuole sorting receptor gene is knocked out or knocked down, in addition, a yeast cell factory for efficiently expressing the plastic depolymerases is constructed by further combining regulation and control element optimization and target gene copy number regulation, and the engineering yeast has the advantages that the engineering yeast can be used for efficiently expressing the plastic depolymerases; the regulatory element comprises any one or a combination of more of a strong promoter, a signal peptide and a C-terminal tag. The engineering yeast provided by the invention can realize efficient accumulation and secretion of the plastic depolymerases, obviously improve the enzyme yield and reduce the production cost of unit enzyme activity, and provides a stable and efficient yeast expression system for industrial and low-cost production of the plastic depolymerases; the method has an important application prospect in the fields of biodegradation and resource utilization of waste plastics.

This invention discloses a sucrose isomerase site mutant, a genetically engineered bacterium, and a method for catalyzing the production of isomaltulose. This invention utilizes PROSS online analysis combined with sequence alignment analysis to screen key amino acid sites related to catalytic activity in sucrose isomerases. Through site-directed mutagenesis, the mutant WT-Gro7-Q474T was obtained, with a maximum specific enzyme activity of 683 U / mg. k cat (s ‑1 The concentration reached 718. By optimizing protein expression conditions, including temperature, IPTG concentration, bacterial concentration, and time, and combining this with the method of co-expression of molecular chaperone proteins, a highly efficient heterologous expression system for sucrose isomerase was established. This invention established an optimal isomaltulose-catalyzed reaction system: in a 2 L reactor, with 1 L of reaction solution and a substrate concentration of 800 g / L sucrose, after 6 hours of reaction, all sucrose was converted, yielding isomaltulose 792.50 g / L, with a conversion rate >99.5%.

The invention belongs to the technical field of bioinformatics, and discloses a molecular marker screening method and device based on sequencing, equipment and a storage medium. Sample sequencing data is obtained for quality control processing to obtain clean sequencing data, and gene variation sites are obtained through detection; analyzing to obtain a target gene expression map; carrying out weighted gene co-expression network analysis to obtain an analysis result; carrying out co-expression analysis, constructing a miRNA-gene molecule interaction network, carrying out topology analysis on the miRNA-gene molecule interaction network, and identifying key nodes; and finally, according to the gene variation site, the target gene expression map, the analysis result and the key node of the miRNA-gene molecular interaction network, combining with a machine learning algorithm to calculate the importance score of each candidate marker, and obtaining a specified number of candidate markers with top scores and the combination thereof as a target marker. Therefore, the potential efficiency of the marker can be comprehensively evaluated in multiple dimensions, and the specificity and sensitivity of the screened marker are further improved.

The invention discloses a method for expressing trastuzumab in pichia pastoris, and belongs to the technical field of genetic engineering. The preparation method comprises the following steps: optimizing heavy chain and light chain genes of trastuzumab, constructing a recombinant plasmid containing double expression cassettes, linearizing the plasmid, and integrating the plasmid into a pichia pastoris genome to obtain an initial strain; and respectively integrating Sch9, Bmh2, PDI and MPDI gene expression cassettes at neutral sites of the genome by utilizing a CRISPR (clustered regularly interspaced short palindromic repeats) technology to obtain engineering bacteria. The engineering bacterium solves the problems of chain ratio imbalance, low assembly efficiency and the like by co-expressing a molecular chaperone, ensures that the antibody is correctly folded and assembled, the expression quantity is remarkably improved compared with that of an initial strain, and a product only has a heavy chain containing N-glycosylation modification and is stable in activity, so that a low-cost and high-efficiency trastuzumab production platform is provided, and the engineering bacterium is suitable for large-scale industrial application.

The invention relates to the technical field of bioengineering and structural biology, and provides a recombinant synechocystis pyruvate dehydrogenase E1 protein crystal which is prepared from a recombinant protein His6-SyPDCsE1, the space group of the crystal is H3, the cell parameters are as follows: a = 146.3, b = 146.3, c = 165.3, and the diffraction resolution is 1.8. The invention also provides a preparation method and application of the crystal. According to the invention, the recombinant protein His6-SyPDCsE1 with high purity and high uniformity is successfully prepared by adopting a double-gene co-expression strategy, and further E1 protein crystal and substrate binding state co-crystal are obtained; the crystal structure fills up the research blank of the prokaryotic synechocystis E1 structure, provides a key basis for revealing a prokaryotic PDHc catalytic mechanism and analyzing the specific structure and function relationship of species, and provides important support for screening drug targets of metabolism-related diseases and agricultural breeding research.

The application discloses a method for constructing a cell membrane fusion model induced by a novel coronavirus-like particle, and belongs to the technical field of biology. The method comprises the following steps: constructing a virus-like particle containing a SARS-CoV-2 spike protein gene and an RNA packaging sequence PS9, using HEK-293T cells as packaging cells, co-expressing structural proteins M, E, N and S protein, and realizing assembly of VLPs without replication ability. Subsequently, the VLPs are used to infect immortalized type II alveolar epithelial cells, S protein expression is induced and cell-cell membrane fusion is mediated without the need of BSL-3 laboratory conditions. The formation of fused giant cells can be directly observed through ZO-1 protein immunofluorescence staining, the model is stable, has high biological safety, and is repeatable in vitro. The application overcomes the safety risk of live virus infection and the authenticity problem of a transient transfection model, can be used for research on a SARS-CoV-2 virus membrane fusion mechanism, and has a good application prospect.

This invention relates to a detection kit and preparation method for enhancing the detection efficacy of autoimmune encephalitis (CBA) antibodies. The kit comprises genetically engineered 293T cells stably integrating and co-expressing the eIF2α S52A mutant and HSP70, and transiently transfected with CBA-associated antigens. The preparation method includes constructing a co-expression vector, establishing a stable transfection cell line, stress preconditioning treatment, antigen transfection, and kit assembly. A method for assessing antibody affinity maturation using this kit is also provided. By synergistically modifying detection cells at three levels—translational regulation, protein folding, and anti-apoptosis—the invention significantly increases antigen expression, reduces apoptosis, and improves detection sensitivity and specificity. Furthermore, it integrates antibody affinity assessment into CBA detection for the first time, providing auxiliary information for clinical staging.

The application discloses a method for constructing a gene regulation network based on meta-analysis, and aims to solve the problem that a gene regulation network has a large error and a low accuracy because different research data are not completely homogeneous when the gene regulation network is expanded by combining data of multiple studies to enlarge a sample size, and the method comprises the following steps: performing meta-analysis on each transcriptomic gene expression dataset obtained to obtain a significant differential gene list; obtaining a transcription factor gene list according to a species to which the transcriptomic gene expression data belong, and generating a core gene list according to the transcription factor gene list and the significant differential gene; calculating a Pearson correlation coefficient of each core gene and each significant differential gene, and constructing a co-expression network according to the Pearson correlation coefficient; clustering the co-expression network to obtain a plurality of differential gene modules with high correlation of the core genes; and combining biological knowledge and a structural equation model to construct a corresponding gene regulation network according to each module. The application belongs to the field of gene regulation networks.

The invention discloses a CAR-T cell modified by an interleukin 15 receptor alpha mutant and application of the CAR-T cell, and particularly relates to a gene engineering medicine. The CAR-T cell is integrated with a multi-gene expression unit through an SB100X transposon system, wherein the multi-gene expression unit comprises opti-mIL-15 (T62G / L55F), opti-mIL-15R alpha-Sushi (Q199E / D203A), a GPI anchoring sequence, a (G4S) 3 flexible connecting peptide, a targeted CAR gene and an iC9 safety switch, and a membrane binding type IL-15 / IL-15R alpha compound supported by an autocrine signal is formed. The affinity and stability of IL-15 signals are enhanced through mutants, efficient integration and co-expression are achieved through non-viral vectors, the in-vivo durability, amplification capacity and anti-tumor activity of CAR-T cells are remarkably improved, and meanwhile a cell factor local delivery and induction type safety switch system is combined through a membrane.

The invention discloses an application of SIRT3 and SIRT5 double-gene co-expression in preparation of a medicine for improving Alzheimer's disease. The SIRT3 and SIRT5 double-gene co-expression plasmid is used for treating the Alzheimer's disease, and the result shows that the SIRT3 and SIRT5 double-gene co-expression plasmid can effectively improve the ATP and mtDNA content of damaged microglia and neuronal mitochondria, enhance the antioxidant enzyme activity of cells, reduce ROS, improve the mitochondrial network structure, promote metabolism reprogramming of M1 type microglia to be converted into M2 type microglia, and improve the metabolism reprogramming efficiency of the M1 type microglia. The M2 microglial cells can clear Abeta of neurons and transfer mitochondria to the neurons, so that the Alzheimer's disease is improved.