87 results about "Model organism" patented technology

The invention provides a calcium imaging neural signal extraction method and product based on self-supervised pre-training, and relates to the technical field of artificial intelligence. Based on a pre-training data set containing a large amount of unlabeled two-photon calcium fluorescence imaging data, a pre-training decoding network and a corresponding pre-training task are self-supervised, and a pre-trained space-time coding network is trained by taking minimization of a pre-training loss function as a target; the method comprises the following steps of: firstly, establishing an encoder and decoder network, establishing fine-tuning data with accurate space-time marked neuron calcium signal positions through simulation, simultaneously performing fine-tuning on the encoder and decoder network by taking minimization of a fine-tuning loss function as a target, and checking the algorithm extraction precision based on various actual imaging data to obtain a calcium imaging signal extraction algorithm network with strong generalization performance. Therefore, a calcium signal extraction model which can be generalized in various imaging conditions and model biological brain regions can be obtained through training without manual labeling, a high-accuracy neural signal extraction result is obtained, the application difficulty that a deep learning model lacks data generalization ability is overcome, and the accuracy of a neural signal extraction result is improved. Calcium imaging neural activity analysis based on self-supervised pre-training and wide in application is achieved.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention discloses a construction method and application of a caenorhabditis elegans inflammation model, belongs to the technical field of model biology, and provides a construction method of a caenorhabditis elegans inflammation model, which comprises the following steps: putting L1-stage caenorhabditis elegans into a lipopolysaccharide solution, and carrying out induced culture to obtain induced cultured caenorhabditis elegans; placing the caenorhabditis elegans in a chromosome system, performing staining culture and centrifugation to obtain dyed caenorhabditis elegans, and placing the dyed caenorhabditis elegans on a culture medium for recovery to obtain the caenorhabditis The surface of the caenorhabditis elegans is provided with a transparent cuticle anatomical structure, the intestinal barrier damage condition is easy to observe after the intestinal tract is dyed by a dye, and the cell proliferation, tissue development and tissue integrity of the caenorhabditis elegans are easy to carry out fluorescence microscope and morphological analysis. A caenorhabditis elegans inflammation model is constructed through lipopolysaccharide induction, and a new experimental animal model is provided for screening anti-inflammatory drugs.

The invention relates to the technical field of environmental health risk evaluation, in particular to a method for evaluating the risk of Parkinson's disease induced by environmental pollutants. The method for evaluating the risk of inducing the Parkinson's disease by the environmental pollutants comprises the following steps: carrying out a subacute exposure experiment by taking caenorhabditis elegans as a model organism; observing the transport capacity of the caenorhabditis elegans, observing and counting the abnormal movement ability of the caenorhabditis elegans, and determining the lipofuscin level of the caenorhabditis elegans, the damage degree of dopaminergic neurons, the dopamine level and the expression and aggregation conditions of alpha-synuclein protein, so as to evaluate the risk of the Parkinson's disease induced by environmental pollutants; the environmental pollutant is 6: 2 chlorinated polyfluoroalkyl ether sulfonate. According to the method, the PD toxicity evaluation model is generated by constructing a behavior characteristic and molecular characteristic scheme and combining multi-strain nematode data, and the problem that in the prior art, the risk of inducing PD by environmental pollutants is difficult to comprehensively reveal due to the fact that a single dimension is concerned is solved.

The invention discloses construction and application of a confinement enhanced photoelectrochemistry-electrochemiluminescence dual-mode biosensor, and relates to the technical field of biosensing and analytical chemistry. The preparation method of the biosensor comprises the following steps: taking a CdS (at) SiO2 (at) NaYF4: Yb / Tm nano composite material as a substrate to obtain a confinement enhanced photoelectrochemistry (PEC) and electrochemiluminescence (ECL) sensing interface; in combination with a DNA wheel nanostructure triggered by target acetamiprid, signal amplification is realized; and synchronous dual-mode quenching detection of PEC and ECL signals is realized by virtue of peroxidase-like catalytic precipitation and wide-spectrum absorption characteristics of the PtPd-CoSnO3 nanocube. The biosensor prepared by the invention has the advantages of high sensitivity, strong reliability, good selectivity and the like, can be applied to accurate detection of acetamiprid in samples such as agricultural products and the like, and has important application value in the aspects of environmental monitoring and food safety control.

The utility model provides a temperature control behavioral detection device for small-model organisms. The device mainly comprises three systems, namely a behavioral monitoring system, a temperature control system and an optical genetic control system. Wherein the behavioral monitoring system consists of a porous culture plate and an infrared camera device, and is used for recording behaviors of small-model organisms; the temperature control system adopts a 24-hole, 48-hole or 96-hole thermosensitive metal plate structure, the temperature is accurately controlled through a programmable multi-section temperature controller, and a water cooling system is arranged to realize rapid heat dissipation; the optical genetic control system uses an LED lamp with a specific wavelength to realize accurate regulation and control of neurons. According to the device, through the structural design that the thermosensitive metal plate is tightly attached to the culture plate, accurate regulation and control of the culture environment temperature are achieved, and the technical problems that a traditional incubator is slow in temperature response and large in fluctuation are solved. The device is compact in structure, accurate in temperature control and convenient to operate, and is particularly suitable for behavioral research of small model organisms such as drosophila melanogaster.

The invention discloses a method for detecting 17 beta-estradiol by using a colorimetric-fluorescent dual-mode biosensor, and belongs to the technical field of chemical analysis and detection. According to the method, a colorimetric-fluorescent dual-mode biosensor for detecting 17 beta-estradiol is established based on oxidase-like activity and fluorescence quenching characteristics of manganese dioxide nanosheets and catalytic characteristics of alkaline phosphatase by taking a nucleic acid aptamer as a recognition molecule. The synthesis cost of the nucleic acid aptamer is low, the method has universality, and other target objects can be detected by changing the nucleic acid aptamer; mBs-DNA-ALP is prepared by using a biotin-streptavidin reaction and a DNA hybridization reaction, and a structure conversion process from double-stranded DNA to an aptamer / target compound is realized by using targeted induction, so that a detection signal is amplified; according to the method for detecting 17 beta-estradiol through colorimetric-fluorescence signals, dual-mode output is achieved, results are verified and supplemented mutually, and the specificity and accuracy of the method are improved.

The present invention discloses an on-line wastewater toxicity detection system and method based on nitrifying bacteria biofilm. The present invention uses nitrifying bacteria as a model organism, ensures the concentration of the bacterial community through the biofilm, and at the same time avoids the interference of miscellaneous bacteria through ultraviolet sterilization; by flushing the nutrient solution in the intermittent stage, the biological activity of nitrifying bacteria is protected, providing a highly sensitive and highly stable method and equipment for wastewater toxicity detection. By detecting the concentration of dissolved oxygen in the solutions flowing into and out of the nitrifying bacteria biofilm reactor, the toxicity of wastewater can be evaluated quickly and with high stability. When the wastewater flows through the biofilm reactor, its toxicity can be evaluated in real time through the rate of dissolved oxygen consumption by the nitrifying bacteria biofilm.

In certain aspects, the invention provides methods and compositions for heritable immunization and their use in infectious disease control. The invention also provides methods of preparing organisms and model organisms that can heritably transfer immunization to offspring.

The present invention discloses a method for judging the influence of the environment on the development degree of chironomid larvae, including: setting a standard value for the area of the imaginal disc of chironomid larvae; calculating the experimental value of the area of the imaginal disc of at least one chironomid larva sample; and characterizing the development of the larvae based on the comparison between the experimental value of the area of the imaginal disc and the standard value of the area of the imaginal disc. The present invention characterizes the development of larvae based on the maximum area of the imaginal disc sections of chironomid larvae, and has the advantages of simple operation and short time consumption, and can further improve the indexes of ecological toxicology experiments with chironomids as model organisms.

Methods and systems for automating surgical procedures in model organisms. The system includes a user input panel, a trained computer vision system, a server, and articulated robotic arm. The system may further include an analytical scale, an anesthesia chamber, a tube labeling system, a tissue freezing system, and a biohazard waste disposal system. The computer vision system communicates with the robotic arm to coordinate tissue collections and common research procedures such as injections via recognition models related to detection, identification, localization, and classification. The central server provides rapid synchronization of data between the local machine and a cloud account system for real-time data analytics. The anesthesia chamber provides standardized administration of anesthesia, the sample labeling system provides 2D barcoded labels according to user input, and the tissue freezing and waste disposal systems enable storage of samples and removal of carcasses following tissue collection, fully automating the necropsy.

A method for automatically constructing metabolic models for non-model species based on a protein language model utilizes a gene homology inference method based on a pre-trained large model, combined with a protein sequence alignment method, to construct gene homology relationships across species. Using model organism GEMs as templates, GEMs for non-model organisms are constructed based on gene homology relationships and non-homologous gene annotations. Gap filling is then performed to optimize the metabolic model structure. This method significantly improves the accuracy of gene homology relationships, the speed and quality of constructing non-model organism GEMs, and the predictive performance of the resulting models.

The invention discloses an ADO (adenosine dioxygenase) gene deleted zebrafish model as well as a construction method and application thereof. According to the invention, ADOa gene knockout is carried out on a model organism (zebrafish) to successfully construct an ADO gene deleted zebrafish model. Based on the model, the function of the ADO gene in fish taurine metabolism can be researched more deeply, so that a new scientific basis is provided for understanding the ADO function of zebra fish and even other fishes, and meanwhile, the model can be used for drug screening and provides a theoretical basis and technical support for breeding and genetic improvement of aquaculture industry.

A method of generating MSC-derived exosome populations may include collecting MSC containing material from living tissue, separating desired mononuclear cells from granulocytes, culturing to multiply the cells, separation of desired cells for further multiplication by washing non-adherent cells and culturing adherent cells, repeating as necessary to obtain a suitably pure population of MSCs, culturing the MSCs in culture media containing negative / healing active cytokines interleukin-4 (IL-4) and interleukin-10 (IL-10) and multifunctional cytokine TGF-ß, and isolating the MSC-derived exosome populations. Diverse MSC-derived exosome populations may be generated by altering the cytokine composition of the culture media. The MSC-derived exosome populations may be screened for effectiveness in treatment of Long Covid using in vitro, in vivo, and pre-clinical testing utilizing model organisms. The exosomes may be administered nasally. Successful MSC-derived exosome populations may be further subjected to patient trials to establish efficacy in treatment of Long Covid via nasal administration of the MSC-derived exosome populations to human subjects. Similar methodologies may be employed to establish efficacy of the MSC-derived exosome populations for treatment of other diseases and conditions related to the central nervous system, spinal cord injury, or neurological diseases, such as Alzheimer disease.

The application relates to the field of biotechnology, in particular to the application of Caenorhabditis elegans in constructing an animal model for detecting combined toxicity of antibiotics and metal ions. The application provides the application of Caenorhabditis elegans in constructing an animal model for detecting combined toxicity of antibiotics and metal ions. The application takes Caenorhabditis elegans as a model organism, and provides a simple, fast, low-cost, short-cycle and reproducible method for constructing an animal model for detecting combined toxicity. The application provides technical support for combined toxicity of antibiotics and metal ions in a natural environment and specific action aspects, and has practical application value.

The invention relates to a kanamycin fluorescence-electrochemical dual-mode biosensor based on a three-dimensional DNAzyme walker and application of the kanamycin fluorescence-electrochemical dual-mode biosensor, and belongs to the technical field of biosensing. The biosensor comprises a gold electrode AuE modified with a capture chain CP, a three-dimensional DNAzyme walker and a target recognition probe Apt / R of kanamycin, the three-dimensional DNAzyme walker comprises a G-quadruplex substrate chain embedded with MB, a DNAzyme chain with a self-protected annular structural domain and gold nanoparticles (AuNPs); the target recognition probe Apt / R is obtained by hybridizing an aptamer chain Apt and an aptamer complementary chain R. By adopting a fluorescence-electrochemical dual-mode detection method, the problem that single signal output is easily interfered by a false positive signal and a background signal is effectively solved, and the accuracy of kanamycin detection is remarkably improved.

The invention discloses a CRISPR / Cas12a responsive AIE MOF nano-enzyme hydrogel dual-mode biosensor as well as a construction method and application thereof, and belongs to the technical field of food safety rapid detection. In order to solve the technical problems that an existing salmonella detection method is tedious in operation, low in detection speed, dependent on special equipment and professional operators, prone to being polluted by aerosol, high in price and the like, a difunctional AIE MOF nano material with AIE fluorescence performance and POD activity is packaged into DNA hydrogel and is further combined with a CRISPR / Cas12a system, and the detection sensitivity of salmonella is improved. A biosensor for detecting salmonella is constructed, and a high-sensitivity, accurate and rapid method is provided for detecting salmonella in food safety.

The invention belongs to the crossing field of marine biotechnology and bioinformatics, and particularly relates to a method for high-throughput identification of natural functional oligopeptides. At present, bottlenecks still exist in development and application of various functional oligopeptides such as penetrating peptides and antibacterial peptides in non-model species, and the high adaptability of the existing functional oligopeptides in complex and diverse non-model organisms is limited mainly due to differences (amino acid preference and receptor specificity) among species. Therefore, the invention provides a method for high-throughput identification of functional oligopeptides from natural sequences of organisms by means of machine learning. According to the method, based on a biological natural protein sequence, an oligopeptide sequence set meeting a preset length condition is generated through a sliding window strategy system, a deep machine learning model is utilized to perform high-throughput functional prediction on the oligopeptide sequence, and on the basis of performing'interruption-prediction-re-comparison 'on existing functional oligopeptides, the functional oligopeptide sequence set meeting the preset length condition is obtained. The comparison threshold value for accurately identifying the functional oligopeptide can be determined, and the natural functional oligopeptide existing in the protein sequence can be effectively identified based on the threshold value. The functional oligopeptide obtained by the method has strict screening of physicochemical properties of a machine learning model and high-adaptability biological characteristics formed in species evolution. According to the method, the direct application capability of the functional oligopeptide in non-model species is remarkably improved, and an accurate and high-throughput technical means is provided for efficient development and application of the functional oligopeptide in non-model organisms.

The invention discloses a data processing device and method for predicting essential genes of non-model organisms in the field of bioinformatics and application. The technical problem to be solved by the invention is how to screen essential genes of non-model organisms. The method comprises the following steps: respectively obtaining a label corresponding to each protein from a protein sequence of a target species and protein sequences of n model biological species on the basis of annotations; embedding the protein sequence and the tag into the protein language model, and outputting an embedded vector; constructing a residue contact graph for each protein based on the embedded vector; modeling, integrating and outputting the features of each amino acid residue in the residue contact graph by using a graph neural network to obtain an integral protein embedding vector; inputting all the protein embedded vectors into a classifier model for training, and outputting a necessary probability value of a protein gene by using an activation function; and obtaining a necessary probability value P1 of the gene of the protein based on the classifier model. The invention can be applied to the prevention and control of agricultural diseases and the development of biopesticides.

The invention discloses a construction method and application of a zebra fish model. The construction method comprises the following steps: taking zebra fish as a model animal, and obtaining a zebra fish model by knocking out a sod1 gene in the zebra fish and / or expressing a human source sod1 gene mutant in the zebra fish; wherein the serial number of the sod1 gene in the zebra fish in an Ensepbl database is ENSDARG00000043848, and the nucleotide sequence of the human source sod1 gene mutant is as shown in SEQ ID NO. 1. The zebrafish can be used for the function research of the sod1 gene in the zebrafish, the function research of the human-derived sod1 gene mutant, the pathological research of amyotrophic lateral sclerosis and the screening of amyotrophic lateral sclerosis resisting drugs.

The invention belongs to the technical field of resources and environment, and particularly relates to a method for comparative evaluation of biotoxicity of industrial wastewater before and after treatment. In order to solve the problems of single selected toxicity endpoint, lack of toxicity comparison and the like in current industrial wastewater toxicity evaluation, the method comprises the following steps: calculating a toxicity sensitivity index and a toxicity sensitivity comprehensive index through physicochemical index detection and toxicology prediction calculation, and selecting a toxicity evaluation endpoint and a model organism which are most sensitive to the wastewater; calculating importance coefficients of different toxicity end points, determining selected biological experiment modes and indexes, and establishing a biological toxicity evaluation system of the wastewater before treatment; the biotoxicity evaluation index of the treated wastewater is substituted into the system, the wastewater dilution multiple before treatment is used for representing the wastewater biotoxicity decline rate before and after treatment, the decline rate reflects the treatment effect of the wastewater comprehensive biotoxicity before and after treatment of the industrial wastewater in the workshop section, and the comprehensive evaluation of the industrial wastewater treatment effect in the workshop section can be completed.

Disclosed herein are devices that permit easier handling of organisms such as mice during animal handling. The disclosed devices gain faster and greater control when handling, dosing, or manipulating a model organism as well as permitting gaining greater handling confidence in a shorter period than traditional methods. The disclosed devices further create less stress for both the research animal and the handler. The disclosed devices are portable and can be fixed into position using securing devices. The disclosed devices comprise a platform that allows for an organism to grasp the platform when placed on the platform. Furthermore, the devices are configured to be portable.

The invention belongs to the technical field of medicines, and particularly relates to application of vitamin B12 in preparation of a medicine for treating retinitis pigmentosa. Specifically, based on the high conservative property of human PRPF31 and caenorhabditis elegans prp-31 genes, a prp-31 gene knock-down and mutation nematode disease model is constructed, and the model can reproduce multiple pathological phenotypes such as oxidative stress, lysosome dysfunction and apoptosis caused by PRPF31 defects. Experiments prove that the active form (such as mecobalamin) of the vitamin B12 can actively pass through the blood retina barrier by virtue of an endogenous transport mechanism through oral administration, the pathological damage can be reversed by virtue of multi-channel synergy, and the pathological phenotype of a model organism can be remarkably improved, so that the vitamin B12 has a good practical application value.

The invention relates to a composition for preventing and treating alcoholic liver injury and application thereof. The composition mainly comprises the following active ingredients: wheat peptide, soft-shelled turtle peptide and kudzuvine root powder. According to the invention, zebra fish is used as a model organism, ethanol exposure treatment is utilized to induce and establish an alcoholic liver injury model, and the alcoholic liver injury is identified by means of apparent histomorphology observation, biochemical index detection, gene expression quantity analysis and the like. Two bioactive peptides (wheat peptides and soft-shelled turtle peptides) screened from six bioactive peptides and five plant extracts are compounded with one plant extract (radix puerariae powder), and the effects of dispelling the effects of alcohol and protecting the liver of the compound are explored from the aspects of enteric microbiomics and non-targeted metabonomics. Researches show that the intervention of the compound significantly improves the hepatomegaly induced by alcohol, and has a synergistic effect in the aspects of preventing hepatocyte injury (improving ALDH activity) and oxidative injury (improving SOD activity) caused by alcohol.

The present application relates to the technical field of water quality restoration, and more particularly to a multi-source sensing intelligent closed-loop water quality restoration system and a control method thereof, which is suitable for river management, landscape water maintenance, industrial wastewater treatment and the like, and is particularly suitable for small and medium-sized water body restoration projects that need to dynamically respond to water quality changes. By means of multi-channel online monitoring, physicochemical index data and model organism activity data are obtained, combined with artificial sampling data, an evaluation model is used to comprehensively evaluate the water quality and grade the abnormality level; and according to the abnormality level, a graded restoration program is automatically triggered, and automatic backflow, automatic sample reservation and remote alarm are simultaneously executed, so as to realize closed-loop, accurate and efficient restoration of water quality and whole-process traceable management, improve restoration efficiency and reliability, and reduce the frequency of manual intervention.

The invention belongs to the technical field of bioengineering and analytical chemistry, and provides a probe eZinCh-2 modified plasmid based on FRET (Fluorescence Resonance Energy Transfer) and application of the probe eZinCh-2 modified plasmid in zinc ion detection. According to the invention, the plasmid is constructed through molecular cloning and homologous recombination technologies, and is microinjected into a zebrafish embryo, so that a transgenic strain capable of stably inheriting and expressing the probe protein is successfully obtained; as a living body biological tool, the zebrafish of the strain is combined with a confocal microscope spectrum FRET technology, and real-time and quantitative monitoring and visual imaging of dynamic changes of zinc ions at living body, cell and tissue levels are achieved. The method solves the problem that real-time dynamic visual monitoring of the zinc ions cannot be realized in a living body model in the prior art, and is suitable for real-time microscopic quantitative analysis of the content of the zinc ions in model organisms such as zebra fish and the like.

The present invention provides high-content and high-resolution in vivo screens for analyzing functions of a plurality of genes. In the functional screens of the invention, genetic perturbations are delivered to a CRISPR-expressing transgenic system by specific AAV vectors that are fully compatible with Perturb-seq platforms. The screens enable functional genomics analyses across diverse tissues, cell types, and model organisms in vivo, with high-throughput single-cell readout.

The invention discloses an application of metabolic inactivated bacteria in relieving drug toxicity caused by nano-plastics, and belongs to the technical field of microorganisms. The caenorhabditis elegans is exposed to a polystyrene nano-plastic group, a medicine group and a nano-plastic and medicine combined exposure group respectively, and is fed with different foods, namely normal metabolism E.coli OP50 bacteria and metabolism inactivation E.coli OP50 bacteria respectively. It is found that the exercise behavior ability and the eating ability of caenorhabditis elegans fed with E.coli OP50 subjected to combined exposure of polystyrene nano-plastics and drugs and subjected to metabolism inactivation treatment are remarkably improved, and development delay is remarkably relieved. It is indicated that bacterial metabolism inactivation can relieve the toxicological effect of polystyrene nano-plastic and medicine combined exposure on caenorhabditis elegans. According to the invention, caenorhabditis elegans is taken as a model organism, the test period is short, the result is accurate, and technical support is provided for research of drug toxicity caused by bacterial metabolism participating in environmental pollutants.

The invention relates to the modelling of a disorder called tubulinopathy, which refers to a wide range of cortical developmental malformations (CDM) resulting from defects in genes encoding tubulin proteins that regulate neuronal migration during brain development, by knocking out the tubulin gamma 1 (Tubg1) gene in zebrafish (Danio rerio) embryos using CRISPR / Cas9 technology. The transgenic animal in question allows the investigation of the phenotype and molecular pathological mechanisms of CDMs resulting from the deficiency of the Tubg1 protein during the developmental process. In the invention, the region located in the third exon of the Tubg1 gene in zebrafish is targeted and knocked out with a guide RNA having the nucleotide sequence SEQ ID NO: 1.

The invention discloses a method for automatically processing image data of a nematode tropism experiment and belongs to the technical field of biological experiments and image data processing. The invention solves the technical problem of how to realize automatic processing of image data of a nematode tropism experiment. The technical solution is as follows: different areas are divided on an NGM culture medium of the model organism nematode and volatile substances are dripped in the designated areas; 50-100 young adult nematodes treated with chemicals are spread in the center of an assay plate; after being placed indoors in the dark for 0.5-1.5 hours, experimental images are photographed under a stereomicroscope; experimental areas that actually need to be analyzed are identified from the experimental images; the experimental images are segmented; nematode identification is performed on the segmented images, thereby completing automatic image processing and automatic quantification of the number of nematodes; a tropism index is automatically calculated according to the number of nematodes in different areas; and a result is judged according to the nematode tropism index.