5 results about "Glycome" patented technology

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 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.