Patent classifications
G01N33/6848
Methods for characterizing compositions comprising peanut antigens
Methods for determining an in vitro release profile of peanut allergens in a sample are provided. Methods for determining one or more signatures of peanut allergens in a sample are provided.
Methods and systems for LC-MS/MS proteomic genotyping
Disclosed are methods and systems using liquid chromatography/tandem mass spectrometry (LC-MS/MS and 2D-LC-MS/MS) for the proteomic analysis of genotypes. In certain embodiments, samples used in the analysis comprise dried bodily fluids.
Pre-symptomatic diagnosis of a viral illness
A method for a pre-symptomatic diagnosis of a viral illness in a subject is provided. The method may include obtaining a biological sample that includes at least one peripheral blood mononuclear cell from a subject prior to the subject experiencing any symptoms associated with the viral illness. The method may further include extracting proteins from the biological sample. The method may also include analyzing the extracted proteins, via mass spectrometry, for the presence of a predefined viral protein biomarker associated with the viral illness. If the predefined viral protein biomarker is present, the subject is diagnosed with the viral illness prior to experiencing the symptoms associated with the viral illness.
QUANTITATION OF INSULIN BY MASS SPECTROMETRY
Methods are described for determining the amount of insulin in a sample. More specifically, mass spectrometric methods are described for detecting and quantifying insulin in a biological sample utilizing purification methods coupled with tandem mass spectrometric or high resolution/high accuracy mass spectrometric techniques.
BIOMARKERS FOR MITOCHONDRIAL DISEASES AND RELATED METHODS
The present invention relates to the fields of life sciences and medicine. Specifically, the invention relates to a method for determining a mitochondrial disorder of a subject or predicting a prognosis of a subject having a mitochondrial disorder, wherein the method comprises determining specific biomarkers from a sample of a subject. Also, the present invention relates to a method of selecting a treatment for a subject having a mitochondrial disorder or following up a treatment of a subject having a mitochondrial disorder, wherein the method comprises determining specific biomarkers from a sample of a subject. Still, the present invention relates to a kit comprising tools for determining said specific biomarkers from a sample of a subject and to use of the kit or specific biomarkers of the present invention for determining a mitochondrial disorder of a subject, predicting a prognosis of a subject having a mitochondrial disorder, selecting a treatment for a subject having a mitochondrial disorder or following up a treatment of a subject having a mitochondrial disorder.
HIGH-THROUGHPUT AND MASS-SPECTROMETRY-BASED METHOD FOR QUANTITATING ANTIBODIES
Liquid chromatography-free methods for quantitating a target protein in a sample are provided. One embodiment provides a liquid chromatography-free method for quantifying target antibodies in a sample including the steps of spiking the sample with a labeled internal standard antibody, digesting the antibodies in the sample to produce peptides, fractionating the peptides; and quantifying the target antibodies using a direct infusion MS.sup.2 system containing one or more ion traps and two or more quadrupole mass filters and an electrospray ionizer, wherein the method is liquid chromatography-free
SYSTEMS AND METHODS FOR TWO-DIMENSIONAL LIQUID CHROMATOGRAPHY USING SIZE EXCLUSION CHROMATOGRAPHY AS A FIRST DIMENSION
Described herein are systems and methods used for carrying out a two-dimensional liquid chromatography process using size exclusion chromatography as a first dimension.
USES OF 4210 DA PEPTIDE AS A MARKER IN DIAGNOSIS OF LIVER CANCER AND CIRRHOSIS
Disclosed herein are uses of 4210 peptide as a marker in the diagnosis of liver cancer and cirrhosis. The 4210 Da peptide is differentially expressed in the serum samples of subjects with different hepatitis B-associated liver diseases, specifically, the expression level is the highest in patients with chronic hepatitis B, sequentially followed by patients with cirrhosis and hepatocellular carcinoma, and healthy controls and those with natural clearance of hepatitis B virus have the lowest expression level of the 4210 Da peptide. The invention provides a novel marker for assisting the diagnosis of a hepatitis B-associated liver disease, which can effectively assist the diagnosis of the hepatocellular carcinoma and the cirrhosis developed from chronic hepatitis B, benefiting the early diagnosis of hepatitis B-associated liver diseases.
Method and reagent for detecting ovarian clear cell adenocarcinoma
The present invention aims to provide a method for detecting, with high sensitivity and specificity, ovarian clear cell adenocarcinoma, which is highly malignant, among benign and malignant ovarian tumors having various tissue types, and a reagent that can be used for the method. The present invention provides NT-TFPI2, which is a novel processed tissue factor pathway inhibitor 2 polypeptide, as a new detection marker for ovarian clear cell adenocarcinoma. The detection of ovarian clear cell adenocarcinoma is carried out by measuring the amount of NT-TFPI2, or the total amount of NT-TFPI2 and intact TFPI2. The reagent for detecting ovarian clear cell adenocarcinoma contains an antibody that specifically recognizes NT-TFPI2 and intact TFPI2.
METHOD FOR THE DETERMINATION OF SEQUENCE VARIANTS OF POLYPEPTIDES
The invention is directed to a method for determining amino acid sequence mutations in a produced polypeptide, comprising the following steps of a) providing a sample of a produced polypeptide, b) incubating the polypeptide in the sample with a protease, c) performing a two dimensional analysis using reversed phase chromatography coupled with a high resolution mass spectroscopy (FT-ICR/FT-orbitrap) and MS/MS analysis of the amino acid sequence fragments of the peptides, d) data evaluation by comparing the LC-MS data sets obtained for the samples side by side with the data set of a reference sample, by searching for differences in the signal intensities at given retention times and by evaluation of differential signals with respect to amino acid sequence mutations. The reference sample for data evaluation (d) can be either a well characterized standard or one of the samples to be analyzed.