Patent classifications
G01N2333/96416
Compositions and methods of diagnosing pancreatic cancer
The present disclosure relates generally to detection of molecular biomarkers in a sample or diagnosis of a subject based upon detection or quantification of molecular biomarkers in a sample, specifically to the identification and use of biomarkers for pancreatic cysts.
METHOD FOR EVALUATING METABOLIZABLE ENERGY IN GOOSE DIET BY USING A SIMULATIVE DIGESTION GROSS ENERGY TECHNIQUE
Embodiments of the present disclosure belongs to the technical field of animal feed and provides a method for rapidly evaluating metabolizable energy of goose diet by using a technique of simulative digestion gross energy. By using the technical means combining the biological method and the simulative digestion gross energy technique, metabolizable energy of goose feed can be evaluated quickly. Based on the “stomach-small intestine” two-step enzymatic methods, it is the first time to establish a regression equation between the metabolizable energy change and fiber level in the cecum to rectify the value of simulative digestion gross energy in the cecal microbial digestion phase, making the simulative digestion gross energy technique more reasonable in the assessment of metabolizable energy in geese. Results show that the use of simulative digestion gross energy technique to assess the metabolizable energy of goose feed value is highly feasible.
Method for evaluating metabolizable energy in goose diet by using a simulative digestion gross energy technique
Embodiments of the present disclosure belongs to the technical field of animal feed and provides a method for rapidly evaluating metabolizable energy of goose diet by using a technique of simulative digestion gross energy. By using the technical means combining the biological method and the simulative digestion gross energy technique, metabolizable energy of goose feed can be evaluated quickly. Based on the “stomach-small intestine” two-step enzymatic methods, it is the first time to establish a regression equation between the metabolizable energy change and fiber level in the cecum to rectify the value of simulative digestion gross energy in the cecal microbial digestion phase, making the simulative digestion gross energy technique more reasonable in the assessment of metabolizable energy in geese. Results show that the use of simulative digestion gross energy technique to assess the metabolizable energy of goose feed value is highly feasible.
METHODS FOR QUANTIFYING DRUG CONCENTRATION IN A PRODRUG COMPOSITION
Methods for quantifying the amount of drug present in a prodrug composition are provided.
COMPOSITIONS AND METHODS OF DIAGNOSING PANCREATIC CANCER
The present disclosure relates generally to detection of molecular biomarkers in a sample or diagnosis of a subject based upon detection or quantification of molecular biomarkers in a sample, specifically to the identification and use of biomarkers for pancreatic cysts.
METHODS FOR QUANTIFYING DRUG CONCENTRATION IN A PRODRUG COMPOSITION
Methods for quantifying the amount of drug present in a prodrug composition are provided.
COMPOSITIONS AND METHODS OF DIAGNOSING PANCREATIC CANCER
The present disclosure relates generally to detection of molecular biomarkers in a sample or diagnosis of a subject based upon detection or quantification of molecular biomarkers in a sample, specifically to the identification and use of biomarkers for pancreatic cysts.
CHARACTERIZATION OF SERINE-LYSINE CROSS-LINK IN ANTIBODY HIGH MOLECULAR WEIGHT SPECIES
The present invention generally pertains to methods of characterizing of a protein of interest. In particular, the present invention pertains to the use of post-column denaturation, size exclusion chromatography and mass spectrometry for detecting, identifying and characterizing crosslinking amino acid residues in a therapeutic antibody.
SYSTEMS AND COMPOSITIONS FOR DIAGNOSING PATHOGENIC FUNGAL INFECTION AND METHODS OF USING THE SAME
The present disclosure relates generally to detection of contamination of a sample or diagnosis of subject based upon detection or quantification of amino acid sequences in a sample, specifically to the identification and use of molecular biomarkers for Candida albicans biofilm infections.
SPATIALLY IDENTIFYING NUCLEIC ACIDS THAT INTERACT WITH PROTEINS
Provided herein are methods, compositions, and kits to spatially detect a polypeptide-nucleic acid complex or a protein-nucleic acid complex in a biological sample. For example, such methods can include contacting binding agents with a biological sample, wherein a binding agent specifically binds a polypeptide of a polypeptide-nucleic acid complex; aligning the biological sample with a substrate comprising a plurality of capture moieties, wherein the binding agent interacts with a capture moiety; releasing the nucleic acid of the binding agent-polypeptide-nucleic acid complex; hybridizing the released nucleic acid to a capture domain of a capture probe on an array; and using determined sequences of a spatial barcode in the capture probe and the released nucleic acid to determine the location of the released nucleic acid in the biological sample, thereby determining the location of the polypeptide-nucleic acid complex in the biological sample.