185 results about "Proteome" patented technology

This invention discloses a milk protein containing composition comprising: at least one milk protein; at least a first protein; at least a second protein; and at least a linker comprising an amino acid sequence coded by nucleotide sequence which is at least 80% similar to sequences selected from the group consisting of SEQ ID NO: 14, SEQ ID NO: 15, SEQ ID NO: 16, SEQ ID NO: 17, SEQ ID NO: 18, SEQ ID NO: 19, SEQ ID NO: 20, and SEQ ID NO: 21

According to the screening method for the potential protein biomarkers and the drug targets of the gastric cancer, Mendel randomization analysis in a proteome range is adopted, the genetic causal relationship between circulating plasma protein and the risk of the gastric cancer is evaluated, and finally the remarkably related protein is identified. According to the screening method of the potential protein biomarker and the drug target of the gastric cancer, provided by the invention, the potential association between circulating plasma protein and the gastric cancer is systematically revealed by integrating Mendel randomization, single-cell RNA sequencing analysis, space transcriptome analysis, virtual drug screening, molecular docking, molecular dynamics simulation and other methods.

This disclosure pertains to compositions comprising an anti-FcRn antibody, M281. The compositions include the full, intact antibody and size variants thereof that not include two antibody heavy chains and to antibody light chains. Thus, a M281 pharmaceutical composition can include: an antibody comprising a heavy chain comprising the amino acid sequence of SEQ ID NO:2 and a light chain comprising the amino acid sequence of SEQ ID NO:1, wherein the composition comprises a major protein component having a molecular weight of 140,000-145,000 Da and a minor protein component of molecular weight 118,000-120,000 Da.

The presently described and claimed disclosure relates to capillary electrophoresis methods for quantifying an intact AAV genome and protein components in an AAV using the same capillary electrophoresis system. The claimed and described approach offers an automated analysis of AAV samples and provides information to determine the AAV empty / full ratio.

The present application relates to a kind of anaphalis contorta exosome extraction method and its application.The exosome is obtained by ultra-high speed centrifugation method from fresh anaphalis contorta, particle size is 160-200 nm, Zeta potential is-21.63±1.34 mV, with double membrane structure, mainly containing protein (such as resveratrol O-methyltransferase etc.) and phospholipid, polysaccharide content is only 12.5% of anaphalis contorta fresh medicine, and does not contain traditional active ingredient anaphalis contorta glycoside.Experiments show that anaphalis contorta exosome can be targeted to enrich in colorectal tissue, significantly improve AOM / DSS induced colorectal cancer model mouse tumor microenvironment, reduce tumor number, regulate T cell and macrophage ratio, and relieve pathological damage, better than anaphalis contorta fresh medicine.The mechanism is related to protein component, not polysaccharide or small molecule component.The anaphalis contorta exosome provided in the present application has simple preparation process, high safety, and has significant anti-colorectal cancer application potential.

The invention relates to the field of aquatic food traceability, in particular to a system for identifying wild and culture sources of bighead carps and application of the system. The system comprises: a sample processing module, wherein the sample processing module is at least used for processing a bighead carp sample to obtain original data of a polypeptide as shown in any one of SEQ ID NO.1-7, and obtaining proteome component response of a to-be-detected sample; the data processing module is at least used for importing the proteome component response of the sample to be detected into an OPLS-DA classification discriminant analysis model to obtain a score plot for discriminant analysis of subsequent sample data; and the result output module is at least used for outputting a result. The system can be effectively used for identifying wild and culture sources of bighead carps, is high in stability and specificity, does not need to use a large instrument, is low in detection cost, and has a wide application prospect in the aspect of aquatic product traceability.

The invention relates to the technical field of organelle separation, and provides a method for rapid purification of peroxisome and oxidation regulation analysis of ultra-long chain fatty acid. The method comprises the following steps: introducing a nucleic acid sequence for coding a fusion protein into a target cell to obtain a cell material, the fusion protein comprising a truncated sequence derived from a peroxisome membrane protein and a tag sequence for affinity purification; taking the cell material as a sample, and separating the peroxisome with the fusion protein from the cell by utilizing an affinity ligand on the basis of a high affinity binding principle. Therefore, according to the method disclosed by the invention, the peroxisome can be rapidly and efficiently enriched, and the whole purification process can be completed within 30 minutes, so that the experimental period is greatly shortened; core protein components of target organelles can be efficiently reserved, and the metabolic activity of peroxisome can be maintained through a complete membrane structure and an internal environment; meanwhile, the same purified sample can synchronously support proteome and metabolome analysis, and direct association of'protein-metabolism 'data is realized.

The invention belongs to the technical field of proteomics detection, and particularly relates to a method for detecting mouse liver neomembrane proteome based on an orthogonal translation system and a mouse strain containing an SORT-KASM module. Comprising the following steps: (S.1) constructing a conditionally expressed SORT-KASM transgenic mouse strain; (S.2) activating the expression of the SORT-KAS M by a tissue specific Cre system; (S.3) giving unnatural amino acid ingestion to the mouse; and (S.4) carrying out biotin labeling coupling on non-natural amino acids in the proteome through an azide-alkyne click reaction. According to the detection method, the space and time high resolution of the liver tissue is achieved, the membrane protein has the high-coverage marking capacity, the low-abundance newborn protein has the high-sensitivity marking capacity, good stability is achieved, and the membrane protein participates in the important physiological processes such as substance transfer, energy metabolism and steady state maintaining; the innovation of the detection method provides a new thought for researching the liver cell membrane proteome.

A method for constructing a database for discrimination of microorganisms according to the present disclosure includes: a step (S12) for acquiring genome data of two kinds of microorganisms; a step (S14) for predicting a group of proteins produced by each of the two kinds of microorganisms; a step (S16) for producing a list of mass-charge ratios of each of the two kinds of microorganisms; a step (S20) for calculating the degree of similarity between the lists of the mass charge ratios; a step (S32) for generating information that includes the fact that the two kinds of microorganisms cannot be discriminated by MALDI-MS when the degree of similarity is equal to or larger than a predetermined value; and a step (S36) for outputting the information.

The invention relates to the field of aquatic food traceability, in particular to a system for identifying wild and culture sources of grass carps and application of the system. The system comprises: a sample processing module, wherein the sample processing module is at least used for processing a grass carp sample to obtain original data of a polypeptide as shown in any one of SEQ ID NO.1-114, and obtaining proteome component response of a to-be-detected sample; the data processing module is at least used for importing the proteome component response of the sample to be detected into an OPLS-DA classification discriminant analysis model to obtain a score plot for discriminant analysis of subsequent sample data; and the result output module is at least used for outputting a result. The system can be effectively used for identifying wild and culture sources of grass carps, is high in stability and specificity, does not need to use a large instrument, is low in detection cost, and has a wide application prospect in the aspect of aquatic product traceability.

The present disclosure provides devices, systems, and methods related to sequencing a biopolymer. In particular, the present disclosure relates to methods for sequencing a polynucleotide using a bioelectronic device that includes protein assemblies used as coupling molecules in bioelectronic circuits. The present disclosure also provides multimeric protein assemblies with various combinations of live and dead subunits arranged to maximize conduction.

The invention discloses a microneedle patch for in-vivo space-time omics analysis and a preparation method and application thereof, and belongs to the technical field of gene detection. Comprising the following steps: performing high-density modification on the surface of the microneedle for molecular binding; preparing a micro-needle base grinding tool for constructing a micro-needle patch; connecting the universal primer probe and the capture primer probe to the bar code probe; the microneedle patch captures to-be-detected molecules in a living body in situ; a probe complementary with the strand displacement region is added, polymeric strand displacement is carried out, and the obtained product can be used for constructing a sequencing library to realize spatial omics analysis of a living sample; the microneedle after strand displacement can be coupled with the bar code probe again to realize reuse of the microneedle for a new round of reaction. According to the method, the analysis of the spatial group in the living body sample is realized at extremely low cost, the operation is simple, the application field is wide, and the method can be used for detecting genomes, transcriptomes, proteomes, epigenomes, metabolomes and the like.

The present application belongs to the technical field of protein composition, and relates to a collagen composition and a preparation method thereof. The present application provides a preparation method of a collagen composition, which comprises the following steps: preparing a collagen solution by treating raw hide which has not been subjected to chemical cross-linking treatment; adding a cross-linking promoter, an isothiocyanate and alpha-mammeigin to the collagen solution; and finally obtaining the collagen composition by multiple short-time microwave treatment. The collagen composition provided by the present application avoids the use of a cross-linking agent, has the advantages of no cytotoxicity, high cross-linking degree and good stability, and exhibits excellent antibacterial and antioxidant functions.

Biomarkers for distinguishing between Chinese honeybee honey and Italian honeybee honey and their applications. Ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC-TQMS) was used for non-targeted identification and comparative analysis of the animal-derived proteomes of Chinese honeybee honey and Italian honeybee honey. Potential characteristic peptides were screened, and then targeted verification of these potential peptides was performed using UPLC-TQMS. Verification yielded one Chinese honeybee-specific peptide (TVAQSDETLQMIVGMK) and five Italian honeybee-specific peptides (SLPILHEWK, SLNVIHEWK, FFDYDFGSDER, YFDYDFGSEER, and VGDGGPLLQPYPDWSFAK). These specific peptides can serve as molecular markers for distinguishing between Chinese honeybee honey and Italian honey, and can be used for animal-derived honey identification, authenticity determination, and quality control.

The invention relates to the technical field of biological information, and particularly discloses a multi-omics genome combined genetic assessment method and device. According to the method, multi-source data such as a genome, a transcriptome, a proteome, a metabolome, a microbiome and a high-throughput phenotype are integrated by constructing a multi-omics fusion similar matrix, an adaptive dichotomy is adopted to optimize omics weights, a grid search and cross validation system is introduced, and global optimal estimation of parameters is achieved. Verification of the method on livestock and poultry breeding and plant breeding data shows that the prediction accuracy of complex characters can be remarkably improved, and particularly, the prediction precision in low heritability characters is remarkably improved. The invention further provides a corresponding device which comprises a data acquisition module, a matrix construction module, a parameter optimization module and a breeding value calculation module, comprehensive utilization of multi-omics information can be efficiently achieved, and the accuracy and calculation efficiency of breeding value estimation are improved.

The invention relates to the technical field of pathological diagnosis, in particular to a tumor grading detection system based on holoproteome cysteine reactivity analysis, which comprises an in-situ labeling module, an in-situ detection module and an in-situ detection module, the histological separation module is used for carrying out molecular weight layering separation on the labeled tumor protein and counting the fluorescence signal intensity of each layer; the processing and analysis module is used for constructing a proteome-level cysteine reactivity map with position resolution capability; the tumor grading module is used for carrying out normalization processing on the average fluorescence intensity of each layer and the highest signal layer to obtain normalized intensity T, drawing a component specificity risk curve by taking the number of layers as a horizontal coordinate, and recording the area under the curve as the normalized intensity T as TSI; the TSI is in positive correlation with the tumor malignancy degree and serves as the basis of tumor grading. The method can accurately diagnose a tumor positive area, and the specificity and the sensitivity are both 100%.

The invention discloses a gene level DNA methylation, transcriptome and proteome conjoint analysis method based on a snkemake framework, which comprises the following steps: preprocessing original data of DNA methylation and / or transcriptome and / or proteome, analyzing gene methylation, analyzing transcriptome and / or proteome, and analyzing the transcriptome and proteome. Based on gene methylation analysis data, the preprocessed transcriptome data and the preprocessed proteome data, correlation analysis and / or difference intersection analysis and / or enrichment pathway conjoint analysis are / is carried out, finally analysis results are sorted, and a visual report is generated. The method has comprehensive results, and relates to quantification, difference analysis and pathway enrichment analysis of gene methylation, and correlation analysis, difference intersection analysis and enrichment pathway joint analysis of integrated DNA methylation and / or transcriptome and / or proteome data; automatic arrangement, verification, visualization and report generation of analysis results are realized; all operation steps can be traced, and corresponding analysis log records are generated. The invention further discloses a related system and application.

The present invention relates to a method for producing immunogenic compositions, such as vaccines, by identifying amino acid sequence of antigenic patches (Ag-Patches) from at least one proteome of a pathogen, derived from overlapping epitope clusters. In particular, the invention relates to the design of Multi-Patch Vaccines against viral, such as SARS-CoV-2, bacterial, fungi, parasite, pathogenic and non-pathogenic targets.

It is an object of the present invention to provide an RpBphP1 mutant and an RpPpsR2 mutant that have been improved so that their binding and dissociation can be reliably controlled by light irradiation with a near-infrared light and blocking thereof. More specifically, the present invention relates to a protein set consisting of two proteins that bind to each other under near-infrared light irradiation, the protein set being a set of an RpBphP1 mutant and a wild-type RpPpsR2, a set of a wild-type RpBphP1 and an RpPpsR2 mutant, or a set of an RpBphP1 mutant and an RpPpsR2 mutant, wherein the binding of the protein set is weaker under the dark and / or is stronger under near-infrared light irradiation, than the binding of a wild-type RpBphP1 and a wild-type RpPpsR2.

The invention provides a plasma proteome data difference evaluation method and device based on two-group comparison and a medium, and relates to the technical field of biological information analysis. Comprising the following steps: S101, sorting omics data of two single cell transcriptomes, and annotating the cell type of each cell to obtain a first single cell gene expression profile; s102, splitting the first single-cell gene expression profile according to cell types to obtain a plurality of second single-cell gene expression profiles, wherein each second single-cell gene expression profile corresponds to one cell type; s103, calculating a state difference score of each cell type based on logistic regression and ten-fold cross validation; and S104, sorting according to the state difference scores from high to low to obtain a difference evaluation result of the corresponding cell type. The method is not limited to the difference of a single feature (such as a gene) and is not limited by specific omics, the cell type difference among multiple groups can be evaluated from the overall level, and the comparability among omics data is improved.

This invention relates to a fractured solid-phase alkylation material, its preparation, and its application. Using epoxy-based microspheres as a carrier, polyethyleneimine, an acid-fractureable linker arm, and iodoacetic acid-N-succinamide ester are sequentially modified via covalent bonding to prepare the fractured solid-phase alkylation material. This material selectively reacts with thiol groups on proteins, enabling efficient enrichment and processing of proteins in complex biological samples such as cells, tissues, and body fluids. By cleaving the linker arm under acidic conditions, the protein and peptide fragments can be released without damage, potentially providing important technical support for deep proteomic coverage analysis and protein variant analysis.

The invention discloses a KRAS mutant non-small cell lung cancer marker identification method and system based on deep learning. The method comprises the following steps: collecting transcriptome and proteome multi-omics data of KRAS mutant and wild non-small cell lung cancer patients, and performing missing value processing and standardization to complete data preprocessing; constructing a multi-channel variational auto-encoder (VAE) model, designing an independent encoder channel for transcriptome and proteome data, and training the model by adopting a dynamic training strategy and a staged KLD preheating strategy to extract potential features; after the potential features are fused, a PLS-DA model is constructed, and log2FCgt is combined; 1, adj. Plt; 0.05, VIPgt; 1.5 and KL divergence gt; and the KRAS mutant non-small cell lung cancer specific marker is identified by a multiple screening mechanism of 0.8. According to the method, deep fusion and accurate analysis of multi-omics data are realized, the accuracy and specificity of marker recognition are improved, and efficient technical support is provided for diagnosis, treatment target discovery and individualized treatment of the KRAS mutant non-small cell lung cancer.

The invention provides a causal inference method and device based on genetic variation, electronic equipment and a medium. The causal inference method comprises the following steps: acquiring whole genome SNP data and proteome data of a detection sample of a target population from a detection platform; performing whole genome association analysis on the whole genome SNP data to obtain outcome SNP data associated with the target phenotype; performing protein quantitative trait site analysis based on the whole genome SNP data and the proteome data to obtain exposure SNP data associated with the target exposure factor; and performing data preprocessing on the outcome SNP data and the exposed SNP data, and performing Mendel randomization analysis on the preprocessed outcome SNP data and exposed SNP data to obtain a causal relationship between the target exposure factor and the target phenotype. According to the method, the accuracy and reliability of Mendel stochastic analysis results are improved.

The invention provides a multi-omics integrated marker for early screening of colorectal cancer, which comprises an lncRNA marker combination, a protein marker combination, an mRNA marker combination, a metabolism marker combination and a methylation marker combination, and relates to the technical field of gene detection and medical treatment. According to the invention, 11 groups of colorectal cancer tissues and para-carcinoma tissues paired with the colorectal cancer tissues are subjected to transcriptome, proteome and metabolome sequencing, and 61 cases of colorectal cancer tissues and 24 cases of para-carcinoma tissues are subjected to simplified methylation sequencing; by integrating and analyzing the multi-omics data, a multi-level interaction network is obtained, and the network contains lncRNA, protein, mRNA, metabolites and DNA methylation markers which have a close interaction relationship, and has a wide application prospect in diagnosis and treatment of colorectal cancer.

The application discloses a kind of detection methods of whole blood proteome, comprising the following steps: S1) material activation, S2) material suspension, S3) detection sample incubation, S4) protein elution and enzymolysis, S5) pretreatment, S6) detection.The detection method of the application can make the result of detection more comprehensive and accurate, and the number of protein species detected by single sample is up to 4000 or more, filling the blank of whole blood proteome detection method.

A pharmaceutical composition, a food composition, and a cosmetic composition for preventing or treating alopecia, and their uses are disclosed. The compositions contain, as an active ingredient, an Akkermansia sp. strain, vesicles of the strain, a proteome and metabolome of the strain, a culture of the strain, a lysate of the strain, an extract of the strain, an extract of the culture, or an extract of the lysate. The compositions for preventing or treating alopecia are safe for the human body, have no side effects, and have excellent effects of combating alopecia and promoting hair growth.

The invention relates to the field of material analytical chemistry and biochemistry, and provides a continuous batch pretreatment device and method for proteomics, glycoproteomics and phosphorylated proteomics samples. According to the continuous batch pretreatment device for the proteomics, glycoproteomics and phosphorylated proteomics samples, under the assistance of the filler, the whole process of protein denaturation, aggregation capture, enzymolysis and complete glycopeptide and phosphorylated peptide enrichment in biological samples can be achieved. Compared with a free solution method conventionally used in proteomics, the sample pretreatment method based on the device has the advantages that the sample treatment time can be effectively shortened, and continuous analysis of mass proteome, glycoprotein group and phosphorylated proteome of trace protein samples can be realized; the method is expected to be widely applied to the aspects of disease occurrence mechanisms, drug action mechanisms, clinical detection, biomarker discovery and the like.

In some embodiments, compact protein compositions, such as compact nucleic acid base editors that can be used in gene editing technologies, are disclosed herein.

Disclosed herein are a method, composition, and a kit for tagging a protein with a biorthogonal tag that may be used for various applications. Using a multi-step approach, native proteins may be labelled through an N-terminal amino acid reacting with a pyridine-2-carbaldehyde linker, which subsequently then reacts with an azide-functionalized tag, yielding a tagged protein. The tagged protein then can be used for nanopore translocation and proteomic assay studies.

Provided herein are methods for preparing a protein composition having a reduced quantity of a recombinant cell byproduct which provides an undesirable color to a protein. The methods involve the use of absorbents or flocculants that capture, trap or isolate the recombinant cell byproduct. The methods also involve oxidation of the recombinant cell byproduct with an oxidizing agent (e.g. hydrogen peroxide) or light (e.g. photochemical oxidation).