593 results about "Transcriptome Sequencing" patented technology

The invention provides a three-generation sequencing read analysis method, application and device. The method comprises the steps that a read segment is obtained, the read segment is obtained by sequencing a sequencing library through a three-generation sequencing platform, and molecules of the sequencing library comprise a sequencing primer recognition sequence, a tag sequence and a UMI sequence; based on the sequencing primer recognition sequence in the read, determining an identity marker area of the read; comparing the identity marking area with at least one standard tag sequence, and determining the tag sequence of the read section in the identity marking area based on the comparison result; and determining the UMI sequence of the read based on the tag sequence in the identity marking area. According to the method, the characteristic of high insertion and deletion error rate in a three-generation full-length transcriptome sequencing result is fully considered, the utilization rate of three-generation sequencing data is improved based on a sequence alignment method, and the accuracy of transcript quantification is improved based on K-mer UMI sequence correction.

The invention belongs to the technical field of gene engineering, and relates to a cyperus esculentus CeMYB154 gene capable of improving salt tolerance and active oxygen scavenging capacity and application of the cyperus esculentus CeMYB154 gene. The Cyperus esculentus CeMYB154 gene belongs to an MYB transcription factor family, the Cyperus esculentus CeMYB154 gene is screened and transformed into Arabidopsis thaliana through transcriptome sequencing, bioinformatics analysis, gene cloning, overexpression vector construction and recombinant strain overexpression, and analysis finds that under salt stress, compared with a wild type, the root length of a plant with the overexpressed CeMYB154 gene is obviously increased, the growth vigor is better, and the growth rate of the plant with the overexpressed CeMYB154 gene is higher. According to the present invention, the content of MDA and H2O2 is significantly reduced, and the activity of CAT, POD and SOD antioxidant enzymes is significantly enhanced, such that the overexpressed CeMYB154 gene can enhance the salt tolerance and the active oxygen scavenging ability of the plant, and the overexpressed CeMYB154 gene is proved to be the salt tolerance positive regulation factor; the CeMYB154 gene can be used in the field of salt-tolerant stress-resistant breeding of cyperus esculentus, and provides an important gene resource for salt-tolerant molecular breeding.

The invention provides a clustering method and system for transcriptome sequencing data. The method is applied to the technical field of data processing, and comprises the following steps: collecting cervical adenocarcinoma and para-carcinoma tissue specimens of a plurality of patients, and carrying out data preprocessing to obtain a standardized gene expression matrix; performing clustering operation on the standardized gene expression matrix based on a clustering analysis method combining a potential category model and sub-alliance division to obtain a clustered gene set; performing gene function annotation on the clustered gene set, and performing correlation analysis on a clustering result after function annotation and clinical characteristics of cervical adenocarcinoma to obtain correlation between gene expression and the clinical characteristics; and on the basis of clustering analysis and correlation analysis results, constructing a deep clustering prediction model based on a variational auto-encoder and a Gamma hybrid model so as to predict the prognosis risk or chemotherapy sensitivity of the patient. The problems that high-dimensional transcriptome data is poor in clustering stability and low in prognosis prediction precision are solved.

The invention relates to the technical field of image analysis, in particular to a multi-modal data fusion IDH wild type glioblastoma typing method and system, and the method comprises the steps: obtaining a data set of a GBM patient; based on the data set, radiomics characteristics, pathomics characteristics, whole exon sequencing data, transcriptome sequencing data and proteomics characteristics are obtained; performing multi-modal data fusion on the image omics characteristics, the pathological omics characteristics, the whole exon sequencing data, the transcriptome sequencing data and the proteomics characteristics, and constructing a multi-modal fusion typing framework to identify the MOFS subtype; and based on image omics features, constructing a deep neural network classifier for predicting the MOFS subtype, and verifying the identified MOFS subtype. Three different subtypes in IDH wild-type adult glioma are determined and verified using an artificial intelligence method by integrating multi-mode data from MRI derived radiomics, WSI derived pathomics, WES, RNA sequencing, and MS-based proteomics.

A copy number variation detection method based on high-throughput transcriptome sequencing data of a single sample. The detection method comprises: first, aligning genome sequencing data to a human reference genome, and calculating the amount of data aligned to reads on each gene, so as to obtain an expression matrix; and then inputting the expression matrix into a detection model, so as to obtain a copy number variation detection result, wherein the detection model is obtained by means of performing training on the basis of a deep neural network model and by using pre-processed known database samples as a data set. By means of the detection method, the genome structure and variation of a single individual are better understood; with lower costs and in less time, gene expression level information is provided, and copy number information of genes can also be acquired, such that functions and regulatory mechanisms of genomes and the impact of copy number variations on gene expression can be better understood; and the method is of great significance for research on genetic diseases, rare diseases and complex diseases.

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 discloses a flavonoid glycoside glycosyltransferase LbUGT71BX1 in laportea bulbifera as well as the coding gene and the use thereof. The amino acid sequence of the flavonoid glycoside glycosyltransferase LbUGT71BX1 is shown as SEQ ID NO: 2. The nucleotide sequence of the coding gene of the flavonoid glycoside glycosyltransferase LbUGT71BX1 is shown as SEQ ID NO: 1. According to the invention, on the basis of relevant results of the second-generation transcriptome and the third-generation full-length transcriptome sequencing of the laportea bulbifera, the last-step key enzyme LbUGT71BX1 for the synthesis of the flavonoid glycoside in the laportea bulbifera is screened and identified by using a reverse genetics method, filling the terminal blank of the biosynthesis pathway of the flavonoid glycoside in the laportea bulbifera.

The invention discloses application of a cell surface adhesion molecule CD22 as a target spot in preparation of drugs for treating spinal cord injury related diseases. The change of gene expression in the glial scar formation process is represented by space transcriptome sequencing, and the specific expression of CD22 in the glial scar region is up-regulated. According to single cell sequencing, in-situ hybridization and immunohistochemistry, specific high expression CD22 of part of microglial cells in a glial scar area is found. CD22 is knocked out through a genetic means, and it is found that formation of glial scars after spinal cord injury is remarkably reduced through inhibition of CD22. Behavioral detection finds that the error rate of irregular horizontal ladders is remarkably reduced by inhibiting CD22, and fine movement recovery of hind limbs of mice after spinal cord injury is promoted. The siRNA specifically targeting CD22 is injected into the sheath, so that the expression of microglial cells CD22 is inhibited, the error rate of irregular horizontal ladders of hind limbs can be reduced, and the recovery of the fine movement function of the hind limbs of the mouse after spinal cord injury is promoted. The invention provides a new possibility for development of drugs for spinal cord injury and treatment of spinal cord injury.

The invention relates to the technical field of cotton alkali-resistant gene mining, and particularly discloses a method for jointly screening key genes responding to upland cotton alkali stress based on transcriptome and metabolome, which comprises the following steps: carrying out alkali stress treatment on upland cotton to obtain tissue samples at different time points; performing transcriptome sequencing and metabolome sequencing on the tissue sample to respectively obtain gene expression data and metabolite data; performing difference analysis on the gene expression data and the metabolite data to obtain DEGs and DAMs; carrying out conjoint analysis on the DEGs and the DAMs, and screening to obtain a key gene and a regulatory pathway which respond to alkali stress; analyzing the key gene and the regulatory pathway through a gene expression verification technology to obtain an expression mode; according to the invention, 15 candidate genes related to the alkali resistance of the upland cotton are screened through WGCNA, a theoretical basis is provided for deeply knowing the molecular mechanism of the alkali resistance of the upland cotton, and a new gene resource is provided for subsequent research.

The invention belongs to the field of spatial transcriptome sequencing data processing, and provides a spatial transcriptome spatial domain identification method and system based on a multi-scale neighborhood, and the technical scheme is that based on spatial transcriptome data, graphs of different-scale neighborhoods are constructed, and height variable genes corresponding to the graphs of the different-scale neighborhoods are calculated; generating a mask pattern based on the multi-scale height variable gene and the corresponding spatial position information, extracting to obtain a multi-scale spatial embedding feature based on the mask pattern, and performing adaptive weighting on the multi-scale spatial embedding feature to obtain a spatial embedding feature; extracting a multi-scale gene embedding feature based on the multi-scale highly variable gene, and performing adaptive weighting on the multi-scale gene embedding feature to obtain a gene embedding feature; and splicing the spatial embedding features and the gene embedding features to obtain embedding features, and performing iterative clustering on the embedding features to obtain a spatial domain recognition result. The problem of poor spatial continuity caused by insufficient feature capture is solved, and accurate recognition of the spatial domain is realized.

The invention discloses a preparation method of fresh taxus chinensis stem and leaf protoplasts. The preparation method comprises a preparation process and a purification process. The preparation method of the taxus chinensis stem and leaf protoplast is simple and easy to operate, raw materials are easy to obtain and low in price, reagent components have good biocompatibility, and the taxus chinensis stem and leaf protoplast is free of harmful components, safe and environmentally friendly. The invention provides a simple and rapid taxus chinensis stem and leaf protoplast enzymolysis preparation method, which adopts vacuum filtration, accelerates the permeation of enzymatic hydrolysate and improves the enzymolysis efficiency, so that the protoplast can be rapidly obtained. Meanwhile, high-purity separation of the protoplast is carried out in combination with density gradient sedimentation of the iodixanol solution, so that the protoplast with uniform size and complete form is obtained, and convenience is provided for scientific researches such as subsequent conversion and single cell transcriptome sequencing.

The invention discloses a method for screening by combining a space transcriptome and CRISPR (clustered regularly interspaced short palindromic repeats) in a same unbiased mode and application of the method in gene function verification, and belongs to the technical field of biology. The method comprises the following steps: infecting target cells with CRISPR screening library viruses; sorting out positively infected target cells, and culturing for a period of time after knockout; injecting the target cells obtained in the previous step into an experimental animal body, wherein the experimental animal is an animal with autoimmunity deficiency; taking out tissues infiltrated by the target cells, and preparing frozen sections; transferring the frozen section to a spatial transcriptome slide, and loading on a machine to prepare a spatial transcriptome cDNA library; constructing a common transcriptome library and a CRISPR sgRNA library by using the space transcriptome cDNA library; and respectively carrying out sequencing and gene sequence comparison on the common transcriptome library and the CRISPR sgRNA library to obtain common transcriptome sequencing data carrying space coordinates and CRISPR sgRNA library sequencing data carrying space coordinates.

The invention provides a nucleotide mutation site prediction model construction and disease-related point mutation identification method. Specifically, the invention provides a deep learning model-fused nucleotide mutation site prediction model construction method and a disease-related point mutation identification method. According to the method, DNA point mutation and RNA point mutation can be recognized from transcriptome sequencing data in a high-sensitivity and high-specificity mode, and basic data is provided for explaining mutation generation mechanisms and functions on the whole transcriptome and genome level.

The invention belongs to the technical field of biology, and relates to a barley germination period salt-tolerant gene HvHCT1, a protein and an application of the protein in salt damage stress resistance, and the protein comprises an amino acid sequence shown as SEQ ID NO: 2. According to the method, genetic loci related to the salt tolerance of the barley in the germination period are mined through a whole genome association analysis method, then transcriptome sequencing is used for revealing barley salt tolerance differential gene expression changes after salt damage stress, and in combination with association analysis and transcriptome sequencing data, salt tolerance candidate genes in the germination period of the barley are determined. The transgenic arabidopsis thaliana is used for verification; the research provides an excellent germplasm material and a new salt-tolerant gene for barley salt-tolerant breeding research, and also provides a theoretical basis for barley salt-tolerant molecular marker-assisted breeding in the future.

The invention discloses an application of burkholderia in root system microorganisms in regulation and control of glycosylation of ginsenoside. The invention provides application of burkholderia or a composition containing the burkholderia in any one of the following applications: 1) regulating and controlling proportions of different glycosylated saponins in ginseng; 2) increasing the proportion of monoglycosylated saponin and / or the proportion of disglycosylated saponin in ginseng; 3) preparing ginseng with a high monoglycosylated saponin ratio and / or a high disglycosylated saponin ratio; and 4) improving ginseng cultivation. In a greenhouse environment, the roots of ginseng seedlings are inoculated with burkholderia, metabolome data shows that the burkholderia regulates glycosylation formation of ginsenoside, and the proportion of monoglycosylated saponin and / or the proportion of disglycosylated saponin can be increased. Further, transcriptome sequencing data analysis shows that the burkholderia regulates and controls the expression of different glycosyl transferases, so that the diversity of glycosylation of ginsenoside is influenced. The burkholderia provides a new thought for refined improvement of a ginseng cultivation technology.

The invention discloses a single cell subtype sample generation method, system, device and medium, and relates to the technical field of single cell subtype sample generation, the method comprises the following steps: obtaining a plurality of omics data; the omics data comprises a single cell genome, transcriptome sequencing expression data, clinical metadata and cell type annotation data; learning a meta-path graph of single-cell RNA sequencing data and clinical metadata through graph network data conversion, and learning representation of nodes and edges on the meta-path graph; a self-adaptive condition graph diffusion convolution model ACGDC model is constructed; inputting representations of nodes and edges into an adaptive condition graph diffusion convolution model through a graph network data conversion module, and sampling new single cell sample seeds in a Gaussian distribution space; decoding the single cell sample seeds to generate a new single cell subtype sample through a condition control sample generation method; according to the method, various high-quality single cell subtype samples can be efficiently generated.

The invention provides a traditional Chinese medicine composition. Compared with the prior art, the traditional Chinese medicine composition has the advantages that the traditional Chinese medicines are reasonably matched, so that all the components have the effect of synergistically improving insomnia, and uncomfortable symptoms such as exhaustion, cognitive competence impairment and irritability of insomnia patients are improved; meanwhile, a transcriptome sequencing technology is adopted, the effect of the traditional Chinese medicine composition on signal channels of patients with insomnia and mild and moderate senile dementia is analyzed and studied, and it is found that the traditional Chinese medicine composition can remarkably reverse disease-related channels on disease-related cell models, remarkably reverse insomnia disorder channels in neuronal cells and microglia cells, and remarkably reverse insomnia disorder channels in neuronal cells and microglia cells. Disorder pathways of mild and moderate senile dementia diseases are obviously reversed in neuronal cells and vascular endothelial cells; therefore, the traditional Chinese medicine composition can be used for improving insomnia and preventing and treating mild and moderate senile dementia, and the traditional Chinese medicine composition is prepared from medicinal and edible medicinal materials and is safe and reliable.

The invention discloses a bisphenol F degradation gene cluster bpf and application thereof. The strain DN12 is separated and can degrade the BPF and grow by taking the BPF as the unique carbon source and energy. On the basis, a BPF degradation gene cluster bpf is obtained from the strain DN12 by adopting whole genome and comparative transcriptome sequencing analysis. Three different degrading enzymes (two-component oxidase BpfAB, monooxygenase BpfC and hydrolase BpfD) are found in the gene cluster and can catalyze gradual degradation of BPF, and a simple aromatic ring compound p-hydroxybenzoic acid is generated.

The invention relates to a single cell transcriptome data assisted AD analysis and classification method. The method comprises the following steps: acquiring a brain tissue sample from an AD patient and an age-matched healthy control, and treating the brain tissue by using a cell separation technology; then, sequencing the separated single cells by adopting a high-throughput single cell transcriptome sequencing platform, performing data quality control, and removing low-quality cells and low-expression genes; performing standardization processing on gene expression data, and eliminating technical deviation among different samples by using Log2 conversion and Z-score standardization; dimensionality reduction processing is carried out on the high-dimensional data by using dimensionality reduction algorithms of principal component analysis (PCA), t-SNE and UMAP; differential expression including DESeq2 and EdgeR is utilized to analyze and identify genes with significant difference between the AD patient and the healthy control; gSEA is adopted for gene set enrichment analysis, KEGG and GO are adopted for pathway analysis, and a key gene pathway and a biological process related to AD are determined; and inputting single cell transcriptome data of a new sample into the trained classification model, and performing AD classification prediction.

The invention relates to the technical field of molecular biology, in particular to a fluorescent quantitative PCR reference gene screening method in different tissues and stress treatment of perilla frutescens, which specifically comprises the following steps: step 1, respectively selecting perilla frutescens leaves, stalks, roots, fruits at different development stages after flowering and perilla frutescens leaves treated by 20% PEG6000 for 0H, 3H, 6H, 9H, 12H and 24H as samples; extracting total RNA (Ribonucleic Acid) of each sample, and carrying out reverse transcription on the RNA to synthesize cDNA (Complementary Deoxyribose Nucleic Acid) as And step 2, screening out candidate reference genes of the purple perilla by using the sequencing data of the early-stage purple perilla transcriptome, namely PfActin, Pf18S, PfEF-1alpha, PfCYP, PfTUA, PfTUB and PfGAPDH respectively, and screening out the candidate reference genes of the purple perilla, namely PfActin, Pf18S, PfEF-1alpha, PfCYP, PfTUA, PfTUB and PfGAPDH. According to the method, the most stable reference genes in perilla leaves, stems, roots, fruits in three development stages and perilla leaves treated by 20% PEG6000 for 0H, 3H, 6H, 9H, 12H and 24H are screened from seven candidate reference genes, and a foundation is laid for deep excavation of functional genes in the later period.

The invention belongs to the technical field of biological medicine and molecular biology, and particularly relates to application of circ0005704 and related biological elements thereof in diagnosis and treatment of recurrent spontaneous abortion with unknown reasons. Researches find that differential expression and autophagy level of ULK1 in trophoblast cells of URSA patients are increased. High-throughput transcriptome sequencing is combined with bioinformatics analysis, and it is found that miR-26a-5p is down-regulated in URSA patients, is responsible for up-regulation of ULK1 and promotes autophagy of trophoblast cells, so that occurrence of URSA is increased. Through a high-throughput transcriptional set screening strategy and dual luciferase reporter gene analysis, it is found that circ0005704 enhances the expression of ULK1 through miR-26a-5p. In a word, the research of the invention shows that the circ0005704 / miR-26a-5p / ULK1 signal axis participates in the pathogenesis of URSA by adjusting the migration of the trophoblast cells, and a new target and scientific evidence are provided for the clinical treatment of URSA.

The invention relates to a method for constructing a plasma or serum exosome RNA quality evaluation model suitable for transcriptome sequencing and application of the method, stably expressed RNA candidate factors are screened, a verified primer probe is used for conducting qPCR quantification on exosome RNA, and a Ct value is obtained; an RNACt value of the exosome is associated with RNA-seq data, a reasonable Ct value is screened and set as a reference threshold value, and the RNA quality of the exosome is graded as a measurement index for judging whether the RNA-seq data is qualified or not, so that the quality of miRNA or mRNA of the exosome can be independently evaluated, and the quality of the two RNAs can also be evaluated at the same time. The method can timely and effectively evaluate whether upstream sample collection, exosome separation, RNA extraction and other methods are appropriate or not, can reduce the link of transferring low-quality samples to a downstream high-throughput library construction experiment, and reduces the cost loss of manpower, samples, reagent consumables and the like.

The invention discloses a space-time transcriptome sequencing method, a sequencing library construction method and a gene sequencing system. The space-time transcriptome sequencing method comprises the following steps that 1, the 3'end of a probe sequence and the 3 'end of template RNA are complementarily combined for reverse transcription, a template conversion oligonucleotide sequence is added to the tail end of generated cDNA through reverse transcriptase, and the template conversion oligonucleotide sequence is different from a first connector sequence at the 5' end of the probe sequence; 2) amplifying the cDNA by using the first linker sequence and the template conversion oligonucleotide sequence; and (3) sequencing the cDNA amplified in the step (2). By utilizing the method disclosed by the invention, the time for sequencing the space-time transcriptome can be shortened, and the 5'end sequencing of the space-time transcriptome can be realized.

The present invention relates to the technical field of fusion gene detection, and in particular to a TTMV::RARA fusion gene analysis method based on transcriptome sequencing. The present invention adopts sequencing data comparison, CLIP event determination, fusion sequence assembly, and fusion sequence identification, and finally achieves the purpose of assembling and identifying the TTMV::RARA fusion gene. Among them, all TTMV genome sequences in known databases are collected as reference sequences, which can achieve the maximum identification detection rate and accuracy. The assembled sequence contains relatively conservative regions of the TTMV genome, so that highly variable TTMV sequences can also be identified and detected. Finally, the TTMV::RARA fusion gene analysis method based on transcriptome sequencing in the present invention is guaranteed to be fast, sensitive, and accurate.

The invention discloses a method for improving synthesis of sakuranetin from yarrowia lipolytica based on transcriptome analysis and application of the method, and belongs to the technical field of gene engineering. Target genes are analyzed and screened through transcriptome sequencing so as to find a method capable of improving sakuranetin synthesis, and the method specifically comprises the steps that an Illumina HiseqTM platform is used for conducting comprehensive transcriptome analysis on an original strain in the logarithmic phase by applying an RNA-seq technology, then transcriptome data are deeply analyzed through KEGG pathway analysis, and the sakuranetin synthesis can be improved. Therefore, the gene showing significant differential expression in the key path of sakuranetin synthesis is identified. And finally, carrying out free expression and integrated expression on the screened key target gene, and verifying the influence on the sakuranetin yield. Finally, a recombinant yarrowia lipolytica strain which is integrated with the YALI0C01859g gene and has high sakuranetin yield is obtained, and the titer of sakuranetin is increased to 344.0 mg / L.

The invention belongs to the technical field of plant biology, and particularly relates to a gene for regulating and controlling powdery mildew resistance of cucumbers and application of the gene, two cswrky31 mutants are obtained based on a cucumber Tnt1 reverse transcription transposon mutant library, and the two cswrky31 mutants both show high susceptibility to powdery mildew bacteria. A target gene Csa5G551250 which is directly regulated and controlled by CsWRKY31 is screened by virtue of a high-throughput transcriptome sequencing technology and a DNA affinity purification sequencing technology in combination with a yeast one-hybrid experiment. A dual luciferase report experiment shows that the CsWRKY31 positively regulates and controls the expression of the Csa5G551250, and the overexpression of the Csa5G551250 gene promotes the resistance of the cucumber to powdery mildew bacteria. A new reference gene resource is provided for cultivation of cucumber disease-resistant varieties, and a new thought is provided for molecular mechanism research of transcription factor mediated plant immunity.

The invention discloses an MMP2 gene promoter region SNP (Single Nucleotide Polymorphism) site and application thereof in pig breeding. According to the invention, an MMP2 gene promoter region is taken as a research object, and the relevance between the MMP2 gene promoter region and sow sexual maturity is researched by adopting a molecular and cell biology method, so that the situation that g.30088284G > A site and g.30088004C > T site are obviously related to the group maturity day age of Dumet black pigs is found; then different vectors are transfected, and different influences of different genotypes of the sites on the activity of the IRS1 gene promoter are studied. Further, sow ovarian granular cells are used as experimental materials, experimental technologies such as transcriptome sequencing, a total iron colorimetric method and a malondialdehyde colorimetric method are adopted, the influence of the MMP2 gene on the transcriptome level and ferroptosis of the sow ovarian granular cells is researched, and it is found that cell transcriptome differential genes influenced by the MMP2 gene are mainly enriched to signal channels such as cell differentiation; and ferroptosis of cells is promoted.

The invention discloses a genomics-based biomarker screening method and system, and relates to the technical field of biological detection.The method comprises the steps that biomarker expression data related to significant genes are determined according to transcriptome sequencing data of a biological sample of a cancer disease, the posterior distribution of the biomarker associated with the cancer disease is estimated through a logistic regression model; determining significant interaction genes according to the posterior distribution and the interaction network between the genes; and based on the significant interaction genes, screening to obtain a biomarker list related to cancer diseases. According to the application, the posterior distribution and significant interaction genes are screened through the transcriptome sequencing data of the biological sample of the cancer disease, so that the situation of missing detection caused by low biomarker specificity in the traditional biomarker screening process is avoided, and a biomarker list highly related to the cancer disease can be obtained; and the sensitivity of the biomarker screening process is improved.

The invention belongs to the technical field of gene engineering, and particularly relates to application of corn zma-miR319 and / or a target gene of the corn zma-miR319 in regulation and control of corn stem rot resistance. According to the application, sequencing data of small RNA, a degradation group and a transcriptome are integrated, a miRNA family member zma-miR319 is identified, and the resistance of corn to stem rot can be positively regulated and enhanced; the target gene ZmMYB74 is a core regulation gene of an Fg response module, the stem rot resistance of a transgenic plant over-expressing the ZmMYB74 is weakened, and lignin deposition is reduced; the resistance is obviously enhanced by knocking out or inhibiting ZmMYB74, the ZmMYB74 is used as a transcription inhibition factor, the expression of a lignin synthesis related gene ZmCAD is negatively regulated and controlled, and the separation of the disease-resistant gene ZmMYB74 not only contributes to the cultivation of a persistent disease-resistant corn variety, but also deepens the understanding of a stem rot resistance molecular mechanism.

The invention relates to a training method of a respiratory tract infection disease progress and prognosis prediction model. The training method comprises the following steps: extracting mRNA from peripheral blood of a target patient, and carrying out transcriptome sequencing to obtain a sequencing result; based on the ferroptosis related gene set, comparing ferroptosis score differences of two groups of patients with community-acquired pneumonia and sepsis, and screening corresponding ferroptosis related genes with statistical significance from a sequencing result; screening out genes meeting preset conditions from the ferroptosis related genes based on LASSO regression; and establishing an RTI clinical outcome prediction model through logistic regression by taking whether the patient is sepsis or not as an outcome dichotomy variable and taking the screened gene expression quantity as a prediction variable. According to the invention, after the prediction model is subjected to machine learning screening such as LASSO and the like, the core feature with the highest prediction value is reserved, so that the risk of over-fitting of the model on training data is reduced.