69 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 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 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.

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 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 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.

The invention belongs to the field of biosensor preparation methods, and particularly relates to a PNA-based electrochemical-photo-thermal dual-mode biosensor and a method for detecting an SRB DsrC gene. An electrode structure of the sensor is CHA / PNA / ITO, a PNA probe captures a CHA product triggered by a target gene, and MB and ICG are incubated respectively to serve as electrochemical and photo-thermal signal probes and used for detecting the SRB DsrC gene. Compared with a single-mode biosensor, the dual-mode biosensor has the advantages of rapidness, sensitivity, low background signal and strong anti-interference capability of electrochemical sensing and photo-thermal sensing, and the detection accuracy is improved through mutual verification of the two modes.

The invention discloses a Hannaea yeast ZAFU HH1, which is classified and named as Hannaea zeae, and is preserved in China General Microbiological Culture Collection Center (CGMCC) on June 28, 2023, and the preservation number is CGMCC No.27725. The Hannaea yeast ZAFU HH1 is named as Hannaea zeae and is preserved in China General Microbiological Culture Collection Center (CGMCC) on June 28, 2023. The invention also discloses a microbial inoculum prepared from the strain. The invention also discloses application of the bacillus subtilis and a microbial agent prepared from the bacillus subtilis in conversion of zearalenone. The yeast Hannai ZAFU HH1 has excellent ZEN conversion capability, the conversion product is identified as a derivative with lower toxicity, and the safety of the ZEN conversion product is evaluated by using caenorhabditis elegans as a model organism, so that the conversion product is proved to have good biological safety. In addition, under the conditions of low temperature stress and acid stress, the yeast Hannai ZAFU HH1 still keeps a high ZEN conversion rate.

The invention discloses a method for screening diabetes treatment targets by using drosophila melanogaster as a model organism, and belongs to the technical field of biological medicines. According to the invention, a GAL4 / UAS system is utilized to construct transgenic drosophila melanogaster of which the specificity of a target gene (X) is knocked down, and F1-generation male ppl-GAL4 / + is obtained through hybridization; uAS-X RNAi / + drosophila melanogaster; compared with a high-glucose model control group with the same background, if the X gene knocks down, lipid droplet accumulation is reduced, and circulating glucose and trehalose are reduced (both have statistical significance, Plt, 0.05), the X gene is identified as a potential diabetes (abnormal glucose and lipid metabolism) treatment target. The method provided by the invention overcomes the problems of high cost, low efficiency, insufficient individuation and the like in the existing diabetes drug screening method, and provides an accurate, rapid, efficient and low-cost screening means for research and development of diabetes treatment drugs.

This invention belongs to the field of biosensors and provides a fePor-tpa-based colorimetric-photoelectrochemical dual-mode biosensor for the detection of Staphylococcus aureus. Bulk fePor-tpa films and two-dimensional fePor-tpa films were synthesized on ITO under solvothermal conditions and in situ growth. FePor-tpa originates from the catalytic activity of porphyrin iron and exhibits excellent dual-enzyme performance. By cleverly utilizing the peroxidase of the large-volume fePor-tpa film in colorimetric mode to oxidize TMB, and utilizing the catalase of the 2D fePor-tpa film in PEC mode to generate O2, the invention provides a solution for the detection of Staphylococcus aureus. 2 We constructed colorimetric and PEC dual-mode biosensors for the sensitive and specific quantification of Staphylococcus aureus.

Escherichia coli is a widely studied model organism and an integral component of the human gut microbiome, offering significant potential for bacteria-based therapeutic applications. However, engineering native E. coli strains poses persistent challenges. In this study, the chassis- independent recombinase-assisted genome engineering technique was leveraged to engineer the native gut strain E. coli EcAZ-1 and the probiotic strain E. coli Nissle 1917 (EcN). The bioluminescent lux operon, green fluorescent protein (GFP), and the oxygen-independent fluorescent protein IFP 2.0 were successfully introduced into both strains. To further enhance IFP 2.0 fluorescence, a heme oxygenase was co-expressed, and the chromophore biliverdin was supplemented, achieving robust IFP 2.0 expression under both anaerobic and aerobic conditions. Also, both strains were engineered to biosynthesize bioactive compounds, including the plant- derived flavonoid naringenin and mycosporine-like amino acids. The results underscore the potential of native E. coli strains as flexible and robust platforms for synthetic biology, enabling novel applications in biomedical research and therapeutics. Based on these results, this application provides recombinant bacteria generating IFP2.0 fluorescence under anaerobic condition, bacterial composition for gastrointestinal cancer detection and use method thereof, and naringenin or MAA overproducing recombinant bacteria.

The invention relates to the technical field of biology, and provides a cell culture meat food safety evaluation method based on a nematode model, and the nematode model is a caenorhabditis elegans model, comprises individuals at the L1 stage and the L4 stage development stage, and is used for establishing a chronic exposure model and an acute exposure model. Biological parameters are obtained by measuring the model of the cell culture meat protein after ingestion of the marker, and the parameters are compared and analyzed with parameters of a control group, so that the food safety of the cell culture meat protein is evaluated. According to the method, caenorhabditis elegans is taken as a model organism, the provided cell culture meat food safety evaluation method is simple and rapid, low in cost, short in test period and good in repeatability, early warning is provided for potential toxic components in food, and the safety evaluation process is accelerated.

The invention discloses selenium-enriched spirulina carbon dots as well as a preparation method and application thereof, and belongs to the technical field of medicines. The selenium-rich spirulina powder is obtained by taking selenium-rich spirulina growing to a logarithmic phase as a raw material, centrifuging, collecting and freeze-drying. Uniformly mixing the spirulina platensis with a catalyst and deionized water according to a mass ratio of 1: (0.1-0.8): 20, then putting the mixture into a high-temperature reaction kettle to react at 140-260 DEG C for 1.5-5.5 hours, dialyzing the reaction liquid for 24 hours after the reaction is finished, centrifuging, and freeze-drying the dialysate to obtain the selenium-enriched spirulina platensis carbon dots with the yield of 70-95%. The selenium-enriched spirulina carbon dots provided by the invention not only have the inhibition capability of alpha-amylase, alpha-glucosidase, cholesterol esterase and pancreatic lipase and the cholate binding capability, but also can improve the endogenous antioxidant defense capability of model organisms while removing exogenous oxidizing substances, so that the glycolipid metabolism balance is efficiently regulated and controlled.