58 results about "Cell function" patented technology

The invention relates to the technical field of database construction, in particular to a construction method and system for a reproductive medicine database. The method comprises the following steps: acquiring a biological tissue sample of a patient; acquiring reproductive endocrine hormone data, embryo morphological parameter data, immune cell function data and genome variation data from the biological tissue sample of the patient; performing time sequence analysis processing on the hormone fluctuation mode according to the reproductive endocrine hormone data to obtain endocrine dynamic characteristic data; performing image recognition processing based on coherent superposition characteristics of light on the embryo morphological parameter data, and performing embryo development potential evaluation to obtain embryo development potential data; and performing hierarchical clustering processing on the individual heterogeneity of the patient according to the immune cell function data and the genome variation data to obtain immune-genetic typing data of the patient. By means of the quantum dot sensing technology and the multi-channel micro-fluidic chip, standardization of data acquisition is achieved, and the heterogeneity problem of a data source is solved.

The application relates to a cell infiltration inference method and system fusing GO function annotation and PPI network information, and the method comprises the following steps: collecting gene expression data, GO function annotation data and PPI network data; constructing a cell-cell function correlation network and a cell-cell physical interaction network respectively; performing weighted fusion processing on the two networks to obtain a comprehensive cell relationship network; calculating a final cell infiltration score through a restart walk algorithm, and inferring the infiltration degree in a tumor microenvironment according to the final cell infiltration score. The application innovatively fuses GO function annotation information and PPI network data, comprehensively considers the functional similarity and physical or signal interaction between cells, enables the model to understand cell synergy from the biological pathway level and analyze cell direct interaction from the protein interaction level, avoids one-sidedness of a single perspective, and provides a more stereoscopic cognitive framework for tumor microenvironment analysis.

The invention relates to a cell infiltration inference method and system fusing GO function annotation and PPI network information. The method comprises the following steps: collecting gene expression data, GO function annotation data and PPI network data; respectively constructing a cell * cell function association network and a cell * cell physical interaction network; carrying out weighted fusion processing on the two to obtain a comprehensive cell relation network; and calculating a final cell infiltration fraction through a restart migration algorithm, and deducing the infiltration degree in the tumor microenvironment according to the final cell infiltration fraction. According to the method, GO function annotation information and PPI network data are creatively fused, functional similarity and physical or signal interaction between cells are comprehensively considered, the model can understand cell synergy from the biological pathway level and can analyze cell direct interaction from the protein interaction level, one-sidedness of a single view angle is avoided, and the method has the advantages of being simple in structure and convenient to operate. And a more three-dimensional cognitive framework is provided for tumor microenvironment analysis.

The invention discloses a time-space resolution single cell transcriptome detection method, which comprises the following steps: firstly, carrying out specific marking on RNA newly generated by cells within a specific time by using a metabolism marking technology so as to ensure that new RNA molecules can be accurately identified and tracked; then, signal amplification of a new RNA target is realized through an adjacent rolling circle amplification (PLA-RCA) technology, and the detection sensitivity is improved; and finally, realizing high-throughput analysis on the newborn RNA by using an in-situ fluorescence sequencing technology, and carrying out accurate space positioning and quantification on the newborn RNA in the single cell by the step. Through the method, time and space resolution analysis can be provided for a single cell transcriptome, so that analysis of complex biological processes such as cell differentiation, disease occurrence and cell function response is facilitated; moreover, the method has important significance for revealing a molecular mechanism in a cell biological process, and provides a new visual angle and tool for disease diagnosis and treatment.

This invention discloses a method for constructing a type 2 diabetes mouse model combining artificial intelligence prediction and multi-target knockout. The method involves acquiring and standardizing multi-omics data and baseline phenotypic data of mice to form a standardized modeling dataset; constructing an interaction map covering pancreatic β-cell function based on this data; selecting target target combinations and target phenotypic prediction results; generating construction instructions and submitting them to a controlled facility for multi-gene knockout modification to obtain modified mice and modification receipts; obtaining measured phenotypic data of the modified mice based on the modification receipts; comparing this data with the target phenotypic prediction results to generate phenotypic deviation metrics and phenotypic determination results; and registering the target target combinations, prediction results, measured phenotypic data, and modification receipts when the phenotypic determination results are satisfactory to form a type 2 diabetes composite mouse model. This invention achieves closed-loop optimization of AI-driven multi-target genetic modification, improving the efficiency and accuracy of constructing animal models of complex metabolic diseases.

The application belongs to the technical field of molecular biology, and particularly relates to an anti-CD28 nanobody and a preparation method and application thereof. The anti-CD28 nanobody provided by the application is prepared in the following manner: constructing a CD28 antigen to immunize a llama, constructing a phage library to the PBMC of the immunized llama, screening the phage library, selecting correct sequences to construct and express and purify, and finally obtaining the anti-CD28 nanobody through cell function detection screening. The nanobody provided by the application has specific recognition and binding capacity for CD28, has the advantages of high specificity, high sensitivity and the like, effectively reduces the development and production cost of the CD28 antibody, and shortens the expression time of the antibody.

The present invention relates to the field of biomedicine and particularly provides a method for identifying a target. The method specifically comprises determining the number of target-adjusting systems of a plurality of cells to be tested to determine the influence of adjusting a candidate target on cell function; and before and / or during the determination, adjusting the expression or activity of the candidate target in said plurality of cells by means of the plurality of target-adjusting systems, wherein each of the target-adjusting systems targets a different candidate target site, and during the determination, the number of said cells is at least 5 times the number of the target-adjusting systems. Further provided is a system for identifying a target.

The application relates to the technical field of nanomaterials, and particularly discloses a kind of nanomaterials for stem cell labeling and photoacoustic imaging, a preparation method and application thereof.The application provides a new method capable of stably labeling high-performance photoacoustic nanomaterials on the surface of stem cells in a quick, efficient, specific and non-damaging manner to cell functions, so as to realize high signal-to-noise ratio and long-term dynamic in-vivo tracing of stem cell transplantation fate, and overcome multiple limitations of traditional endocytosis labeling in efficiency, timeliness, specificity and cell compatibility.

The invention belongs to the technical field of nano medicine, and particularly discloses a method for obtaining exosomes with different cell biological functions, which comprises the following steps: preparing hybrid cells HCs integrating different cell functions by a cell fusion method, and further collecting exosomes H / Exos derived from the hybrid cells. The invention also discloses the exosome and application of the exosome in preparation of drugs. Different hybrid cells have multiple functions of cells before fusion, and exosomes secreted by the hybrid cells inherit the functions of the hybrid cells. The hybrid cells can continuously secrete exosomes with the characteristics of the two parent cells in the proliferation process. The defect that the end-to-end differentiated cells cannot be proliferated is overcome, so that large-scale preparation of the natural multifunctional exosome can be realized, and a new method is provided for customized exosome preparation for disease treatment.

This invention discloses the application of SDC1 in the diagnosis and treatment of breast cancer. Through bioinformatics analysis, cell function experiments, multi-omics analysis, and animal model validation, this invention reveals for the first time the high expression of SDC1 in breast cancer and its correlation with poor patient prognosis. It elucidates the molecular mechanism by which SDC1 promotes the malignant progression of breast cancer by regulating ECM remodeling, EMT, angiogenesis, and ferroptosis resistance, and verifies the therapeutic potential of MZ1 in inhibiting breast cancer growth and metastasis by downregulating SDC1 expression. This invention provides the application of reagents for detecting SDC1 expression levels in the preparation of diagnostic or prognostic kits for breast cancer, as well as the application of SDC1 inhibitors in the preparation of drugs for treating breast cancer. This invention provides new technical solutions for the diagnosis, prognostic assessment, and treatment of breast cancer.

The invention provides a dynamic cell detection method based on super-resolution imaging and semi-quantification, and relates to the field of biomedical detection. The method comprises the following steps: constructing cell experiment groups and performing intervention; after dyeing by adopting a specific fluorescent probe, carrying out super-resolution imaging and image analysis by utilizing a structured light illumination microscope to obtain first semi-quantitative data; detecting by using a fluorescence microplate reader in parallel to obtain second data, and carrying out cross validation; and finally evaluating the drug function based on the valid data. According to the invention, the combination of subcellular morphology observation and multi-channel fluorescence semi-quantitative analysis is realized, and the accuracy and reliability of diabetes drug screening and cell function evaluation are remarkably improved.

The application provides a solid oxide fuel cell and a preparation method thereof, the solid oxide fuel cell comprises a metal support layer, a transition layer and a cell function layer which are sequentially stacked, the material of the metal support layer comprises a high-temperature alloy, and the thermal expansion coefficient of the transition layer is between the thermal expansion coefficient of the cell function layer and the thermal expansion coefficient of the metal support layer. Therefore, the solid oxide fuel cell of the application can solve the problem that the metal support solid oxide fuel cell cannot normally operate in a high-temperature environment of 1200 DEG C-1300 DEG C.

The present invention discloses a fluorescence in situ hybridization method for co-localization of multiple genes in shellfish hemocytes, belonging to the technical field of cell biology of marine invertebrates. By optimizing the osmotic pressure buffer system and the preparation method, the present invention can stably obtain a monolayer sample with complete and uniform cell morphology. By advancing the cell morphology imaging step, the complete morphological information of cells is obtained and fixed as a reference before implementing the stringent in situ hybridization process. The present invention can achieve in situ visualization of multiple target genes while better preserving the cell morphological structure, which helps to obtain more accurate and stable spatial distribution information of gene expression at the single-cell level, improves the overall reliability of the experiment, and provides a more effective analysis tool for the study of cell functions of marine invertebrates.

The application discloses application of cathepsin E in preparation of a drug for treating or preventing lung cancer, relates to the technical field of biological medicine, and first proves that CTSE is highly expressed in lung adenocarcinoma tissues and has the biological function of inhibiting lung cancer cell proliferation through clinical sample analysis, cell function experiment and animal experiment. Mechanism research shows that CTSE plays the anticancer role by down-regulating the expression of cathepsin B (CTSB) and promoting the degradation of STING protein through a lysosome pathway and inhibiting the cGAS-STING natural immune pathway. The application clarifies the application value of CTSE as a new target for treating lung adenocarcinoma, provides a theoretical basis and experimental basis for developing a novel lung cancer treatment drug, and has an important clinical application prospect.

The present application relates to the technical field of database construction, and particularly relates to a method and system for constructing a reproductive medicine database. The method comprises the following steps: obtaining a patient biological tissue sample; obtaining reproductive endocrine hormone data, embryo morphology parameter data, immune cell function data and genomic variation data of the patient biological tissue sample; performing time series analysis and processing on hormone fluctuation patterns according to the reproductive endocrine hormone data to obtain endocrine dynamic characteristic data; performing image recognition processing based on light coherence superposition characteristics on the embryo morphology parameter data, and performing embryo development potential evaluation to obtain embryo development potential data; and performing hierarchical clustering processing on patient individual heterogeneity according to the immune cell function data and the genomic variation data to obtain patient immune-heredity typing data. The present application realizes standardization of data acquisition through quantum dot sensing technology and a multi-channel microfluidic chip, and solves the problem of heterogeneity of data sources.

The invention discloses a gene group for breast cancer molecular typing, a detection product and application of the gene group and the detection product, and relates to the technical field of breast cancer tumor gene detection. Comprising the following steps: S1, collecting clinical tissue specimens, including cancer tissues and para-carcinoma tissues, coming from breast cancer patients receiving breast resection, and storing the tissue specimens in liquid nitrogen; s2, cell culture: culturing a breast cancer cell line by using a DMEM culture medium containing 10% of fetal calf serum; the relation between high expression of circACTN4 in breast cancer and clinical pathological characteristics of circACTN4 is proved through multiple methods such as gene chip analysis, qRT-PCR, cell function experiments and animal experiments, and circACTN4 promotes acetylation of histone H4 and increases expression of cell cycle related genes (such as CCNE1 and CDK4) by up-regulating expression of MYC, so that development of breast cancer is promoted; a new molecular marker and a potential treatment target are provided for diagnosis and treatment of breast cancer, and development of new diagnosis products and treatment strategies is facilitated.

The invention provides a cell function deployment method and device, a medium and a program product. The method comprises the steps that first feature data of a target cell and a function strategy model corresponding to a scene of the target cell are acquired; inputting the first feature data into the function strategy model to obtain performance prediction values corresponding to multiple function strategies; and determining a target function strategy deployed to the target cell from the multiple function strategies according to the performance prediction value. According to the method provided by the embodiment of the invention, the target function strategy matched with the scene where the cell is located can be determined, so that the comprehensive performance of different cells can be optimal in different scenes, the throughput of the cell is improved, and the user experience is improved.

The invention provides an endometrial stem cell preparation as well as a preparation method and application thereof, and belongs to the technical field of biological preparations. According to the preparation method of the endometrial stem cell preparation, the safety risk is controlled through an autoserum source, the cell function is optimized in combination with a low-oxygen environment, and a high-stability and low-immune-risk standardized solution is provided for clinical transformation of the endometrial stem cell preparation. Three batches of culture data show that the cell viability is gt; the mesenchymal stem cell culture medium is stable in form and meets the mesenchymal stem cell verification standard. The flow detection verification shows that the positive rate of CD73 / CD90 / CD105 is greater than or equal to 95%, the negative markers such as CD34 / CD45 and the like are less than or equal to 2%, and the high purity is proved; the cell cycle shows that the G0 / G1 period accounts for 74-80%, and the resting state and the genome stability are maintained. After the preparation provided by the invention is stored for a short time or frozen and unfrozen for a long time, the cell morphology and proliferation capacity are not obviously attenuated.

The invention provides a cell function region division method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: carrying out dimension reduction preprocessing on to-be-processed cell data to obtain target cell data, the target cell data comprising cell expression profile data and position information; determining a reference cluster number corresponding to the target cell data; inputting target cell data containing the cell expression profile data and the position information into a preset clustering model based on the reference clustering number to obtain initial clustering data; and performing classification correction on the initial clustering data to obtain target clustering data, and performing functional region division based on the target clustering data. Compared with the prior art, the method has the advantages that the to-be-processed cell data is preprocessed, the reference clustering number is determined in advance, and the initial clustering data is classified and corrected to divide the functional region, so that the recognition effect and generalization ability of the same kind of cells are improved.

The invention relates to the technical field of biology, and relates to a specific binding protein of NGF, a nucleic acid molecule, a carrier, a cell, a composition, a preparation method and application. The specific binding protein has an NGF binding structural domain a or / and an NGF binding structural domain b, wherein the NGF binding structural domain a has amino acid sequences such as HCDR1 to HCDR3 as shown in SEQ ID NO.19 to 21 and LCDR1 to LCDR3 as shown in SEQ ID NO.25 to 27; the NGF binding domain b has HCDR1 to HCDR3 of which the amino acid sequences are as shown in SEQ ID NO.22 to 24, and LCDR1 to LCDR3 of which the amino acid sequences are as shown in SEQ ID NO.28 to 30. The NGF / TrkA signal pathway-related pain inhibitor is specifically combined with NGF, has higher cell function activity and can be used for treating NGF / TrkA signal pathway-related pain.

Described herein is a method for identifying combinations of perturbations that result in a cell phenotype. In some embodiments, the method includes generating a library of cells that have been subjected to combinations of perturbations, analyzing a subset of cells at a single-cell level by measuring the phenotype of the cells and identifying which combinations of perturbations were applied to the cells, and calculating a score for the identified combinations of perturbations and a score for a theoretical combination of perturbations based on the results obtained from the analysis, where each score indicates the likelihood that the combination of perturbations will produce a phenotype.

The present invention is directed to methods, systems and apparatuses for the introduction of materials across lipid membranes, particularly the cellular transfection of nucleic acids and compounds aimed at modifying cell function and the treatment of disease. Pressure-jump-poration (PJP) is a method using rapid depressurization to transfect even difficult to modify primary cell types such as embryonic stem cells. The results demonstrate that PJP can be used to introduce an array of genetic modifiers in a safe, sterile manner. Finally, PJP-induced transfection in primary versus transformed cells may reveal a surprising dichotomy between these classes which may provide further insight into the process of cellular transformation.

This invention belongs to the field of molecular biology technology, specifically relating to an anti-CD28 nanobody, its preparation method, and its application. The preparation process of the anti-CD28 nanobody provided by this invention is as follows: CD28 antigen is constructed to immunize alpacas; a phage library is constructed from the immunized alpaca PBMCs; the phage library is screened, and correct sequences are selected for construction, expression, and purification; the anti-CD28 nanobody is finally obtained after screening by cell function detection. The nanobody provided by this invention has specific recognition and binding ability for CD28, exhibiting advantages such as high specificity and high sensitivity; simultaneously, it effectively reduces the development and production costs of CD28 antibodies and shortens antibody expression time.

The present application provides systems and methods for measuring cell function or tissue function. More particularly, the present application provides systems and methods for determining cell or tissue contractility using ultrasound; systems and methods for measuring the effect an agent has on cell or tissue contractility using ultrasound; and systems and methods for determining material properties of a material using ultrasound.

The invention provides a < 68 > Ga-labeled small molecule compound as well as a preparation method and application thereof, and belongs to the technical field of radiopharmaceuticals and nuclear medicine. The [68Ga] Ga-DTPA-EOB probe marked by 68Ga is suitable for positron emission tomography, has better temporal-spatial resolution and dynamic imaging capability, and can quantify tracer distribution. Under the condition that the pH value of the < 68 > Ga is 3.8-4.0, < 68 > Ga labeling can be completed only within 5-10 minutes at room temperature, the labeling efficiency is high (the labeling rate is greater than or equal to 95%), and the amount of EOB-DTPA required for labeling is extremely small. The radioactive activity needed by PET imaging is low, the radiation burden on a patient is small, and the gadolinium deposition risk is avoided. The [68Ga] Ga-DTPA-EOB probe is particularly suited for scenes requiring rapid diagnosis, avoiding MRI contraindications, or requiring multi-modal imaging.

The application belongs to the field of biological medicine, and particularly relates to a functionalized magnetic microsphere of Raphani Semen components, a preparation method and application thereof. Based on photo-crosslinking technology, the application constructs multi-component modified magnetic microspheres, solves the problems existing in traditional single-component probes, and simultaneously fixes multiple active components in a traditional Chinese medicine complex system on the surface of the magnetic microspheres. On this basis, the application integrates high-throughput identification technology of chemical proteomics and cell function verification experiments, systematically captures and identifies a target group acted on by a complex component system of traditional Chinese medicine, constructs an overall regulation network of components, targets and pathways, and analyzes the action mechanism of traditional Chinese medicine from the system biology level.

To provide a blind device capable of appropriately controlling slats each having a solar battery cell function, and a control method.SOLUTION: A blind device includes two or more slats having a solar battery cell function, and a control unit controlling the two or more slats, the control unit being configured to execute specific control that restricts an operation of changing an angle of the two or more slats to an angle outside a predetermined range when a specific condition is satisfied.SELECTED DRAWING: Figure 3

The present application belongs to the technical field of nucleic acid delivery and gene editing, and particularly relates to a method for knocking out a target gene of a cell in vitro by using an LNP delivery system. In view of the technical problems of unstable editing efficiency, large difference in editing efficiency between different individuals, low transfection efficiency, large cell damage, unstable knockout effect and the like when a T cell is transfected by using an existing LNP for gene editing, the present application provides a method for efficiently knocking out a target gene of a T cell in the form of LNP by optimizing the LNP and LNP transfection operation parameters in a systematic manner. The method can effectively solve the above technical bottlenecks, realize efficient and stable knockout of a target gene of a T cell, and provide reliable technical support for T cell function research and immunotherapy application.

A system and a method for predicting insulin resistance and / or pancreatic β-cell function are provided, where a machine learning model is utilized to predict insulin resistance and / or pancreatic a decline of β-cell function of a subject in need thereof based on a feature set extracted from a database. Therefore, clinicians or the subject can be warned to take necessary actions on, and adjust related medical treatment or lifestyle before the subject is diagnosed with diabetes mellitus. In addition, a computer readable medium thereof is also provided.

The invention provides a bimodal microscopic imaging system and method, and relates to the technical field of microscopic imaging, and the system comprises a first imaging module which is configured to obtain a three-dimensional refractive index distribution image of a sample based on an optical diffraction tomography principle; the second imaging module is configured to acquire a fluorescence image of the sample based on a confocal microscopic imaging principle; the control module comprises a time sequence control unit and an image fusion unit; the time sequence control unit is configured to control the data acquisition time sequence of the first imaging module and the second imaging module; the image fusion unit is configured to process the three-dimensional refractive index distribution image and the fluorescence image to generate a fused image. According to the invention, unmarked three-dimensional form imaging and specific fluorescence imaging of living cells are realized, distribution of organelles in the three-dimensional form of the cells can be accurately positioned through bimodal data fusion, and linkage analysis of cell functions and forms is carried out.