10 results about "Glycome" patented technology

The invention provides a detection reagent for detecting ovarian cancer based on an oligosaccharide chain and a preparation method and application thereof, the detection reagent is prepared by mixing the following reagents: a reagent A, which is prepared by adding SDS with the mass concentration of 1-5% into an ammonium bicarbonate solution with the concentration of 10mM and the pH value of 8.3; the reagent B is prepared by mixing 0.05-10 units / 10 microliters of glycosamine acylase, NP-40 with the mass concentration of 10% and an ammonium bicarbonate solution with the concentration of 10 mM and the pH value of 8.3, and the pH value of the mixed solution is 5-9; the reagent C is an organic matter reducing agent with the concentration of 0.02 mM to 1M, which is prepared by dissolving 8-aminopyrene-1, 3, 6-trisulfonic acid in DMSO (Dimethylsulfoxide); and a reagent D: a stop solution. According to the present invention, the natural oligosaccharide N-glycome map in the serum is determined through the reagent, the peak value is quantified, and the statistical analysis is performed, such that the establishment method of the ovarian cancer serum natural oligosaccharide N-glycome map model is provided, and the ovarian cancer is detected by determining the change of the natural glycosylation modification of the protein under the physiological and pathological state.

The present invention relates to a method for predicting the effectiveness of chemotherapy treatment in lung cancer utilizing serum N-glycome analysis. The method enables an early detection whether the chemotherapy started in a patient diagnosed with lung cancer is really effective. Early detection of ineffective therapy is beneficial for the patient, as it is possible to change to another therapy in time.

The invention discloses a sugar-free tissue culture system for industrialization of rare medicinal plants, and relates to the technical field of plant tissue culture and intelligent bioreactor control. Comprising a temporary immersion culture unit, a carbon dioxide supply and uniform mixing unit, a liquid phase buffer adding unit, an environment regulation and control unit, a physiological state acquisition unit, a multi-point carbon dioxide sensor array, an edge controller, a special risk constraint large model controller and a block chain-based credible strategy consistency network. According to the system, a sugar-free culture medium is used as a culture solution, a temporary immersion rhythm formed by an immersion phase and a ventilation phase is adopted, a carbon supply window is set at the ventilation phase, and carbon dioxide injection is forbidden at the immersion phase; a uniformity threshold value, a rise time threshold value, a deviation correction and amplitude limiting rule, a carbon supply curve parameter set and a liquid phase buffer parameter set bound with the carbon supply curve parameter set are generated in the large model, and a risk upper bound quantile and a strategy admission threshold value are calculated based on a rolling calibration set to achieve admission; the strategy packet is executed after being subjected to block chain consensus release and edge verification, correction, amplitude limiting and degradation are triggered in a window according to criteria, and a calibration set is written back, so that cross-base consistency triggering calibration and recovery are realized.

The invention discloses a method for detecting N-glycome of cerebrospinal fluid of a PCNSL patient and a related kit, belongs to the field of biological medicines, and is used for researching the N-glycome of the PCNSL patient and developing and preparing related diagnostic products. The method comprises the following steps: extracting cerebrospinal fluid of a PCNSL patient, removing cells, denaturing and reducing protein, cutting N-sugar by using PNGase F, labeling the N-sugar by using 2-aminobenzamide, carrying out HILIC liquid chromatography and mass spectrometry detection, and analyzing a detection result. According to the method, the N-glycome of the cerebrospinal fluid of the PCNSL patient can be accurately represented and systematically classified, further scientific research on the diagnosis and treatment relationship between the cerebrospinal fluid and the PCNSL, the pathology of the PCNSL and the related pharmacology is facilitated, and the method can also be used for developing kits, instruments, equipment and software for diagnosis or prognosis evaluation of the PCNSL.

The invention provides a detection reagent for detecting gastric cancer based on an oligosaccharide chain and a preparation method and application thereof, the detection reagent is prepared by mixing the following reagents: a reagent A, which is prepared by adding SDS with the mass concentration of 1-5% into an ammonium bicarbonate solution with the concentration of 10mM and the pH value of 8.3; the reagent B is prepared by mixing 0.05-10 units / 10 microliters of glycosamine acylase, NP-40 with the mass concentration of 10% and an ammonium bicarbonate solution with the concentration of 10 mM and the pH value of 8.3, and the pH value of the mixed solution is 5-9; the reagent C is an organic matter reducing agent with the concentration of 0.02 mM to 1M, which is prepared by dissolving 8-aminopyrene-1, 3, 6-trisulfonic acid in DMSO (Dimethylsulfoxide); and a reagent D: a stop solution. According to the invention, a natural oligosaccharide N-glycome map in serum is determined through the reagent, and then a peak value is quantified and subjected to statistical analysis, so that the establishment method of the serum natural oligosaccharide N-glycome map model of the gastric cancer is provided, and the gastric cancer is detected by determining the change of natural glycosylation modification of protein in physiological and pathological states.

The invention discloses a CC-TIP one-stop device and method, and belongs to the technical field of trace glycome sample preparation. The CC-TIP one-stop device disclosed by the invention comprises a reaction chamber, a conical reaction tube and a gasket, the reaction chamber is communicated with the large-head end of the conical reaction tube through a gasket; a protein enrichment layer, a sugar chain enrichment and purification layer and a supporting layer are sequentially arranged in the conical reaction tube from one end of the reaction chamber to the small end; according to the method, the steps of glycoprotein denaturation, reduction, alkylation, enzymolysis release, sugar chain enrichment and purification and the like can be smoothly integrated in the same device, in the operation process, a sample does not need to be transferred, good stability and reproducibility are achieved, sample loss is reduced, and compared with a traditional sugar chain preparation method, the method is faster and more efficient.

The present invention refers to a method for predicting the risk of suffering from type 2 diabetes which comprises assessing the presence of N-glycome peak 37 and N-glycome peak 24 in a biological sample obtained from the subject.

The invention provides a detection reagent for detecting pancreatic cancer based on an oligosaccharide chain and a preparation method and application thereof, the detection reagent is prepared by mixing the following reagents: a reagent A, which is prepared by adding SDS with the mass concentration of 1-5% into an ammonium bicarbonate solution with the concentration of 10mM and the pH value of 8.3; the reagent B is prepared by mixing 0.05-10 units / 10 microliters of glycosamine acylase, NP-40 with the mass concentration of 10% and an ammonium bicarbonate solution with the concentration of 10 mM and the pH value of 8.3, and the pH value of the mixed solution is 5-9; the reagent C is an organic matter reducing agent with the concentration of 0.02 mM to 1M, which is prepared by dissolving 8-aminopyrene-1, 3, 6-trisulfonic acid in DMSO (Dimethylsulfoxide); and a reagent D: a stop solution. According to the present invention, the natural oligosaccharide N-glycome map in serum is determined by using the reagent, the peak value is quantified, and statistical analysis is performed, such that the pancreatic cancer is detected by determining the change of the natural glycosylation modification of the protein in the physiological and pathological state.

The invention relates to the technical field of quantitative analysis of glycome, in particular to a rapid and accurate quantitative system for glycome. The method executed by the system comprises the following steps: acquiring mass spectrum data, and extracting mass spectrum information based on the mass spectrum data; obtaining sugar chain identification information, wherein the sugar chain identification information comprises a sugar chain code, a molecular formula and retention time; obtaining a parent ion mass-to-charge ratio in a multi-charge state and adduct form based on a sugar chain molecular formula; matching the mass spectrum data with the sugar chain identification information in a sugar chain retention time range, extracting single isotope signal intensity and calculating single isotope abundance; obtaining total signal intensity based on the single isotope abundance; the quantitative result of the sugar chain comprises the code of the sugar chain, the type of the sugar chain, the mass-to-charge ratio, the mass and the total signal intensity. The accuracy of the quantitative detection result of the glycome is improved.

The invention provides a detection reagent for detecting hepatitis B and liver cancer based on an oligosaccharide chain and a preparation method and application thereof, the detection reagent is prepared by mixing the following reagents: a reagent A, which is prepared by adding SDS with the mass concentration of 1-5% into an ammonium bicarbonate solution with the concentration of 10mM and the pH value of 8.3; the reagent B is prepared by mixing 0.05-10 units / 10 microliters of glycosamine acylase, NP-40 with the mass concentration of 10% and an ammonium bicarbonate solution with the concentration of 10 mM and the pH value of 8.3, and the pH value of the mixed solution is 5-9; the reagent C is an organic matter reducing agent with the concentration of 0.02 mM to 1M, which is prepared by dissolving 8-aminopyrene-1, 3, 6-trisulfonic acid in DMSO (Dimethylsulfoxide); and a reagent D: a stop solution. According to the present invention, the natural oligosaccharide N-glycome map in serum is determined by using the reagent, the peak value is quantified, and statistical analysis is performed, such that the establishment method of the hepatitis B liver cancer serum natural oligosaccharide N-glycome map model is provided, and the hepatitis B liver cancer is detected by determining the change of the natural glycosylation modification of the protein under the physiological and pathological state.