6334 results about "Gene" patented technology

The invention relates to the field of medical informatization. The invention discloses a thyroid cancer electronic medical record system based on multi-modal data fusion. The thyroid cancer electronic medical record system comprises a multi-modal data acquisition module which acquires patient texts, ultrasonic images, genes, biochemical indexes and clinical data and performs standardized calibration to generate standard data; the multi-modal feature extraction module extracts semantic, structure, mutation, change and fluctuation features of each standard data through multiple technologies; the single-mode prediction model construction module constructs single-mode prediction models of texts, images and the like based on the features and outputs results; and the multi-modal fusion prediction module fuses the single-modal model based on the deep learning framework to output a multi-modal fusion prediction result. According to the invention, multi-modal data are integrated, and the accuracy and comprehensiveness of thyroid cancer diagnosis are improved. The system ensures consistency through standardized data processing, and assists doctors to accurately judge pathological types, recommend therapeutic schedules and evaluate prognosis by means of a multi-modal feature extraction and fusion mechanism.

The invention discloses a benign and malignant nodule grading evaluation system based on large model fusion ultrasonic imaging and thyroid gene markers, which can organically fuse non-invasive examination and serological detection, can simulate and diagnose multi-grade risk probability information provided by a gold standard, realizes similar risk grading estimation in a non-invasive mode, and has a wide application prospect. The thyroid nodule risk assessment method can provide visual explanation conforming to clinical logic based on comprehensive information of iconography and molecular biology, can significantly improve the accuracy of thyroid nodule risk assessment, can also effectively improve clinical decision-making efficiency and patient credibility, and has important clinical application prospects. The system comprises a data acquisition module, an ultrasonic image feature extraction module, a gene marker feature extraction module, a multi-modal fusion and hierarchical reasoning module and a generation module.

Provided herein are methods for analyzing a biological sample that include contacting the biological sample with a non-conductive substrate; and contacting a matrix to a surface of the biological sample. Further methods optionally include performing mass spectrometry analysis; determining presence of a first analyte in the biological sample; and / or analyzing a second analyte on the surface of the biological sample to determine presence of the first and the second analyte in the biological sample.

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

The invention discloses a transcriptomics spatial domain identification method, and belongs to the technical field of transcriptomics. The objective of the invention is to solve the problems of low data noise reduction precision and poor recognition effect of an existing spatial transcriptional spatial domain recognition method. The method comprises the following steps: firstly, obtaining an undirected neighborhood graph according to a gene expression matrix, obtaining embedded representation of the gene expression matrix by utilizing an encoder, obtaining a corresponding reconstruction matrix by utilizing a decoder, and further determining reconstruction loss; meanwhile, a ZINB model is used for fitting a reconstruction matrix, and a ZINB loss function is obtained; then, an augmented graph is constructed based on the undirected neighborhood graph, respective embedded matrixes are obtained through an encoder, the comparison loss of the undirected neighborhood graph and the comparison loss of the augmented graph are obtained through a comparison representation learning mechanism, and then the neighbor comparison loss is obtained; total target loss is obtained based on all losses, a joint optimization strategy is adopted for training, and after training of the whole model is completed, dimensionality reduction and spatial domain recognition are carried out on a generated reconstruction matrix.

The invention discloses a drug resistance prediction method and system based on comparative learning and multi-modal fusion, and the method comprises the steps: firstly generating a molecular map and a molecular fingerprint based on the SMILES of a target drug, and extracting the molecular features of the drug through a comparative learning model constructed through combining a map attention network and a map convolution network; and then, acquiring protein expression, gene expression and metabolic expression data from the target tissue cells, extracting modal features through a deep convolutional network, a Transform encoder and a multi-dimensional attention network, and realizing adaptive fusion of the multi-modal features through a heterogeneous interactive attention mechanism. And finally, jointly inputting the fused multi-modal features and drug molecular features into a multi-layer sensor to realize high-precision prediction of the drug resistance of cells to drugs. By introducing a contrast learning and multi-modal feature fusion mechanism, the characterization capability and prediction precision of the model are effectively improved, and efficient and reliable support can be provided for drug screening and clinical decision making.

Platforms, systems, and methods for genetic generalization in synthetic biology development. According to one aspect, there is provided a method for predicting performance associated with genetic edits, the method comprising: receiving, by a platform, information about a strain of a microorganism, wherein the information about the strain comprises information describing a plurality of genetic edits to a base strain of the microorganism; generating, by the platform, a set of genetic embeddings based on the information about the strain, wherein the generating comprises processing the information about the strain using one or more embedding models, wherein each of the one or more embedding models: receives the information about the strain of the microorganism as input; and applies computational transformations to the input using a corresponding embedding model to generate a multi-dimensional vector representation for each of the plurality of genetic edits.

The invention discloses a method for improving beef quality, an action mechanism and an experimental method, in a cattle body, vitamin A can activate the expression of EBF2 through an active metabolite RA of the vitamin A, and the EBF2 can inhibit the transcription process of CYP26B1 in a targeted manner to maintain the activity of a retinol signal channel, so that PPAR gamma and downstream lipid metabolism related genes thereof are activated, and the activity of the retinol signal channel is improved. Fatty acid transport and lipid accumulation in fat cells in the cattle muscle are promoted, fat deposition in the cattle muscle is promoted, and the beef quality is improved. By constructing the molecular network for regulating and controlling the formation of the fat in the cattle muscle, a complex regulation and control mechanism for controlling the fat deposition in the cattle muscle can be understood more deeply, a method for improving the beef quality based on regulating and controlling the vitamin A mediated key factor EBF2 is provided, and a new way is provided for improving the beef quality in a targeted manner.

The invention belongs to the field of gene engineering, and particularly relates to application of an XC3225 gene in increasing the yield of xanthomonas campestris pv. Campestris xanthan gum. The invention finds that the XC3225 gene has a negative regulation effect on the xanthan gum yield, and the xanthan gum yield is remarkably improved by inhibiting or knocking out the XC3225 gene in the genome of xanthomonas campestris pv. Campestris, so that a new gene resource is provided for xanthan gum preparation.

The invention discloses a method for efficiently screening saline-alkaline tolerant rice. According to the method, controllable indoor saline-alkali environment simulation conditions are constructed, various salts are mixed in proportion to prepare solutions with different salinity gradients, the pH value is adjusted, and temperature, humidity and illumination parameters are accurately controlled; the method comprises the following steps: disinfecting rice seeds, carrying out a germination test, transplanting rice seedlings, and regularly measuring growth indexes; in the treatment process, physiological indexes such as malondialdehyde content, antioxidant enzyme activity, proline content and the like and the expression level of salt and alkali tolerance related genes are detected, key indexes are screened by applying statistics and multivariate analysis methods, and an evaluation system is established for comprehensive score screening. The method can quickly perform saline-alkali stress treatment on a large number of rice seeds or seedlings, is not limited by natural environment, shortens the screening period, can accurately simulate different saline-alkali soil environments, scientifically evaluates the saline-alkali tolerance of rice from multiple dimensions, and provides an efficient and reliable technical means for breeding saline-alkali tolerant rice varieties.

The invention discloses a lung cancer gene mutation classification method based on frequency domain multi-scale fusion guidance, and relates to the technical field of medical image processing and gene detection. According to the MFHA mechanism provided by the invention, the pathological image is decoupled into low-frequency global and high-frequency detail sub-bands through wavelet transform, and extraction of key high-frequency features such as cell nucleus morphology and local texture is enhanced by combining multi-scale convolution and up-sampling guided by high-frequency information; the problems of insufficient feature detail mining and low feature fusion efficiency in a traditional pathological image analysis method are solved; key features are screened and focused through a channel, frequency domain-space feature deep fusion is realized through up-sampling, robust representation is constructed by combining space attention with cosine similarity and multi-dimensional statistical features, a frequency domain analysis-space focusing collaborative optimization mechanism is formed, information redundancy caused by simple feature splicing is avoided, and the robustness of the system is improved. And the classification stability of the model in a complex pathological scene is improved.

The invention discloses a breast cancer prognosis real-time evaluation system and method fusing a multi-modal image and a co-disease network, and relates to the technical field of breast cancer prognosis evaluation. According to the system, a comprehensive feature matrix fusing images, genes and clinical features is constructed by acquiring a mammary gland medical image, extracting focus features and combining gene expression information of a focus area and co-disease data of a patient, feature weighting is carried out based on an attention mechanism, and finally a prognosis risk score is output by utilizing a multi-layer perceptron model. And risk grading and intervention suggestion generation are realized. According to the system, a co-disease network and a gene interaction network are introduced for modeling, relevance expression among multi-source information is enhanced, and pathological features and systematic health status of patients can be reflected comprehensively. The intelligent level of prognosis evaluation can be improved, and good clinical popularization value is achieved.

The invention discloses humanized III-type collagen as well as a preparation method and application thereof, and belongs to the technical field of bioengineering. According to the method, firstly, on the basis of an original humanized III-type collagen gene, cell adhesion activity is taken as an evaluation index, a better cell adhesion sequence is screened out and spliced and integrated with the original collagen gene, and brand-new humanized III-type collagen is obtained. And constructing a recombinant expression vector of the humanized III type collagen containing the adhesion sequence by taking the probiotic EcN as a host cell, and introducing the recombinant expression vector into the EcN to obtain a strain of functional recombinant probiotic. Compared with a traditional escherichia coli engineering bacterium BL21 (DE3), the recombinant probiotics have good cell adhesion activity while efficiently expressing the humanized type III collagen, the bacterial endotoxin content of the recombinant humanized type III collagen obtained through purification meets the industrial standard, and the recombinant probiotics have good application prospects. The purification cost caused by industrial removal of endotoxin can be avoided, so that the production cost is reduced, and the method has a good application prospect.

The invention relates to the technical field of model construction, in particular to a construction method of a disease feature recognition and evaluation model based on the Internet of Things. The method comprises the following steps that multi-modal physiological data of a patient are collected in real time through Internet of Things medical equipment, data preprocessing is conducted on the multi-modal physiological data of the patient, standard patient physiological data are generated, and the standard patient physiological data are stored in a distributed database; extracting gene sequencing data based on the biological sample library; performing global health risk factor perception on the standard patient physiological data to generate user level health risk perception data; and carrying out feature fusion on the user level health hazard perception data and the gene sequencing data to construct a disease feature matrix containing a space-time dimension. Through multi-modal data fusion, spatio-temporal evolution modeling, deep learning architecture and personalized risk assessment, the precision and timeliness of disease feature recognition assessment model construction are improved.

The invention discloses an application of IbWRKY26 protein and a coding gene thereof in regulation and control of sweet potato soft rot resistance, and belongs to the technical field of plant genetic engineering. The invention provides an application of the IbWRKY26 protein in any one of the following items: (1) an application in regulation and control of sweet potato soft rot; (2) application in preparation of products for regulating and controlling sweet potato soft rot; (3) application in soft rot resistant sweet potato breeding; (4) application in cultivation of soft rot resistant sweet potatoes; the amino acid sequence of the IbWRKY26 protein is as shown in SEQ ID NO. 2. Experiments prove that compared with a wild type sweet potato, the soft rot disease resistance of the overexpressed IbWRKY26 gene is remarkably improved. The IbWRKY26 protein and the coding gene thereof provided by the invention have important theoretical significance and application value in the research on the soft rot resistance of sweet potatoes.

The invention discloses a multi-effect repair type collagen and application thereof, and belongs to the technical field of synthetic biology. Transdermal peptide TD-1, a transmembrane region of human XVII type collagen, an extracellular sixteenth non-collagen region, an extracellular fifteenth collagen region and a coding gene of a His tag are selected to be connected in series, and a gene sequence is optimized through pichia pastoris codon selection preference; and then the T-COL17R3 is constructed and expressed to obtain the T-COL17R3. Efficacy experiments prove that compared with similar products sold in the market, T-COL17R3 not only has excellent transdermal performance, but also has better cell proliferation and migration promoting capability, better capability of resisting early saccharification product ketoamine and later saccharification product dicarbonyl compounds, better capability of scavenging free radicals and resisting elastase, and can be used for preparing the anti-epidermal drug. In addition, synthesis of melanin in B16-F10 cells can be reduced, so that T-COL17R3 has excellent application potential in development of pharmaceutical compositions or skin care products with repairing, anti-wrinkle and firming or whitening and brightening effects.

The invention provides a strain of lactobacillus plantarum YS-AG23 with high antioxidant activity, and a rhizoma polygonati and radix angelicae sinensis fermented product obtained by fermenting rhizoma polygonati and radix angelicae sinensis with the strain of lactobacillus plantarum YS-AG23. In a D-galactose induced premature ovarian failure mouse model, the fermentation product can regulate up the levels of antioxidant and stress protection genes SOD2 and HO-1 and an anti-aging gene SIRT1 by regulating down the expression of a key gene AGER of an inflammation and oxidative stress pathway, so that the oxidative stress and inflammatory response of model mouse ovarian tissues are remarkably reduced; meanwhile, the serum hormone level can be specifically adjusted, the serum estradiol (E2) level can be increased, the follicle stimulating hormone (FSH) and luteinizing hormone (LH) levels can be reduced to be close to the normal range, the expression of anti-mullerian hormone (AMH) and hormone regulatory gene LHR of ovarian reserve markers can be up-regulated, the proliferative activity and estrogen secretion function of follicular granulosa cells can be improved, and the effect of preventing ovarian reserve is achieved. The wet weight of atrophic uterus and ovary of the model mouse is remarkably increased, uterine and ovary atrophy is effectively reversed, and the ovarian reserve function of the D-galactose induced premature ovarian failure model mouse is recovered. Besides, in an H2O2-induced human dermal fibroblast aging model, the yeast can improve the activity of aging cells in a concentration-dependent manner and reduce the level of reactive oxygen species (ROS) in the cells; in addition, by up-regulating the expression of a collagen synthesis key gene COL1A1 and down-regulating the expression of a cell senescence marker gene p16, skin cell senescence caused by oxidative stress can be effectively improved. In conclusion, the polygonatum sibiricum and angelica sinensis leavening can synchronously improve premature ovarian failure and skin cell senescence caused by oxidative stress by accurately regulating and controlling oxidative stress, inflammatory response and tissue function related genes, and has wide application potential.

Provided herein are systems, compositions, and methods for generating immunogenic peptides or epitopes from tumor associated antigens (e.g., in vivo or ex vivo). Polynucleotides (e.g., genes) encoding the tumor associated antigens may be edited at selected target sites by nucleobase editors comprising a catalytically-inactive Cas9 and a cytosine deaminase, leading to the expression of heteroclitic or cryptic peptides that are more immunogenic than the native peptide derived from the tumor associated antigens. The heteroclitic or cryptic peptide elicit strong tumor-specific immune response (e.g., T-cell response or B-cell response), which inhibits tumor growth and metastasis.

Provided by the present invention are a bispecific T-cell engager, recombinant oncolytic virus thereof, and use thereof. The present invention provides an αCD47 and αCD3 bispecific T-cell engager. The present invention also provides an isolated nucleic acid molecule that encodes said bispecific T-cell engager. The present invention also provides an expression framework of said bispecific T-cell engager BiTE. The present invention also provides a recombinant oncolytic virus, and said oncolytic virus is operably inserted with or contains the expression framework of said bispecific T-cell engager BiTE. In the present invention, the bispecific T-cell engager is combined with the oncolytic virus, and in comparison with pure gene therapy or virotherapy, the oncolytic virus significantly enhances the inhibition capability on malignant tumors.

The invention belongs to the field of virus detection and diagnosis, and relates to an anti-AAV2 monoclonal antibody as well as a preparation method and application thereof. The invention provides an anti-AAV2 rabbit monoclonal antibody, and amino acid sequences of a heavy chain variable region and a light chain variable region of the anti-AAV2 rabbit monoclonal antibody. The anti-AAV2 rabbit monoclonal antibody provided by the invention can be specifically combined with the VLP of AAV2, and can be used for detecting the AAV virus antigen. The anti-AAV2 monoclonal antibody provided by the invention provides an effective detection tool for the detection of AAV2 in the research and development process of a gene therapy vector and the detection of AAV2 in basic scientific research.

Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.

The invention discloses a high-transdermal recombinant humanized XVII type collagen as well as a preparation method and application thereof, and belongs to the technical field of synthetic biology. According to the preparation method, transdermal peptide TD-1, different functional fragments of human XVII type collagen and coding genes of His tags are selected to be connected in series, gene sequences are optimized through pichia pastoris codon selection preference firstly, and then the high-transdermal recombinant humanized XVII type collagen is obtained; and then the recombinant humanized XVII type collagen T-COL17-NC16 and the recombinant humanized XVII type collagen T-COL17 are constructed by expression of the recombinant humanized XVII type collagen T-COL17. Effect experiments prove that compared with similar products sold in the market, the skin-care product has more excellent transdermal performance, can improve cell proliferation and migration ability, also has obvious ability of resisting early saccharification product ketoamine and late saccharification product dicarbonyl compounds, better ability of scavenging free radicals and resisting elastase, and can be used for preparing the skin-care product. Moreover, synthesis of melanin in B16-F10 cells can be reduced, and the compound is expected to become a novel functional biological raw material to be applied to the fields of pharmaceutical compositions or skin care products and the like.

The invention discloses a specific primer for distinguishing rice and barnyard grass and application of the specific primer, and belongs to the technical field of biological species identification. The sequences of the specific primers are as shown in SEQ ID NO. 1 and SEQ ID NO. 2. The specific primer is designed according to the nuclear gene ITS sequence of the rice, the specific primer can accurately identify the rice through PCR, the identification method is stable, the detection time is short, the specificity is high, the detection limit is low, the identification method is not affected by material characters, rapid and accurate identification of the rice and barnyard grass can be achieved, and the identification efficiency is high. The problem that a method for effectively and rapidly distinguishing rice and barnyard grass does not exist at present is solved.

The invention discloses a breast cancer lymph node metastasis prediction system based on a gene spectrum, and relates to the technical field of breast cancer prediction systems. Comprising a data acquisition module which collects gene spectrum data of a breast cancer patient and collects detailed clinical information of the patient; the preprocessing module is used for carrying out data cleaning and data normalization processing on the collected data; and the feature extraction module is used for extracting principal component features by applying principal component analysis on the basis of the gene expression data. According to the method, gene expression data are considered, various gene spectrum data such as gene mutation and copy number variation and detailed clinical information are integrated, the biological characteristics of the breast cancer can be reflected more comprehensively, and the prediction accuracy is improved.

Provided herein are altered cell lines comprising a suspension cell line adapted from an adherent cell line having a different expression profile from a corresponding non-altered adherent cell line, methods for generating altered cell lines, and methods of characterizing altered expression profiles for a gene, a transcript, or a protein in an altered cell line.

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 relates to a primer group for detecting pangolin plague virus, a kit and application, and relates to the technical field of gene engineering. The primer group comprises a forward primer ORF1-F and a reverse primer ORF1-R. The forward primer ORF1-F and the reverse primer ORF1-R. On the basis of the primer group, the E gene in the conserved region of the pangolin plague virus can be specifically recognized, so that the primer group is combined with an RAA amplification system and a detection system, and detection is rapidly completed within a short time under the constant-temperature condition.

The embodiment of the invention relates to the technical field of bioinformatics, and provides a bulk data cell analysis method, device and equipment, and the method comprises the following steps: constructing an initial reference matrix according to a single cell data set and a cell type annotation template, each element in the initial reference matrix represents the gene expression quantity of each cell state under each characteristic gene; performing deconvolution on the bulk data to be analyzed according to the initial reference matrix to obtain a first deconvolution result; updating the initial reference matrix according to the first deconvolution result to obtain a first reference matrix; and according to the first reference matrix, performing deconvolution on the bulk data to be analyzed to obtain a second proportion and a second gene expression quantity of each cell type in the bulk data to be analyzed. According to the embodiment of the invention, the accuracy of cell analysis in bulk data can be improved.

The invention provides a screening method and application of an early prediction marker of papillary thyroid cancer, the early prediction marker of papillary thyroid cancer is P4HA2, application of a reagent for detecting the expression level of P4HA2 in preparation of a product is provided, and a P4HA2 inhibitor including a substance for knocking down P4HA2 gene expression is also provided. The invention also provides application of the P4HA2 inhibitor in preparation of a product for inhibiting migration and / or proliferation of thyroid cancer cells, and a screening method of a biomarker for predicting papillary thyroid cancer. The marker can be used for prediction and early prediction of papillary thyroid cancer, knock-down of the marker can also be used for prediction and early prediction of papillary thyroid cancer, early screening can be better completed, benign and malignant nodules are helped to be distinguished, unnecessary invasive detection is reduced, and the detection efficiency is improved. And a new view angle is provided for molecular mechanism research and early diagnosis of thyroid cancer.

The invention belongs to the technical field of immunoassay and biosensing, and provides a novel construction mode of a heterojunction dual-photoelectrode photoelectric sensing strategy and a preparation method of an in-situ heterojunction MIO photocathode. The invention relates to a preparation method of a heterojunction dual-photoelectrode type photoelectrochemical sensor based on multi-ball cascade DNA reaction amplification. Specifically, the design is composed of an In2O3 / CdS photoanode and an in-situ formed MIL-68 / In2O3 (MIO) photocathode. The heterojunction dual-photoelectrode sensing strategy effectively prolongs an electron-hole transmission path, enhances photo-generated charge separation, and realizes' super-open 'PEC signal output, thereby providing a steady baseline for signal conversion. Meanwhile, a multi-sphere cascade DNA reaction is combined to output a three-dimensional DNA net structure to provide a large number of sites for embedding of a PEC quenching probe doxorubicin-ferrocene carboxylic acid (DOX-FcCOOH), obvious PEC signal quenching is realized by utilizing the efficient competitive electron transfer capability of the three-dimensional DNA net structure, and finally, a signal conversion system with'opening-super opening-closing 'multistage response characteristics is constructed. The detection of the nucleic acid marker Pax-5a gene of the B cell acute lymphatic leukemia is realized by detecting target objects with different concentrations.