G01N33/6848

CANCER DIAGNOSTIC
20220365089 · 2022-11-17 ·

The present disclosure relates to the field of cancer. More particularly, the invention relates to methods of diagnosing and treating cancer, including determining a cancer type thereof. These methods involve the detection of markers in an exosome sample of the subject.

p53 POST-TRANSLATIONAL MODIFICATIONS AS MARKERS IN THE DIAGNOSIS AND PROGNOSIS OF A NEURODEGENERATIVE DISEASE
20230054852 · 2023-02-23 ·

The present invention refers to p53 sequence and post translational modifications (PTMs) and to their use as biomarkers in the diagnosis of neurodegenerative disease and cognitive decline and/or in the prognosis of Alzheimer's disease at different stages and/or of neurodegenerative disease in a biological sample. The invention also provides for a 1) diagnostic method based on a highly accurate mass spectrometry analysis for the diagnosis of neurodegenerative disease, including Mild Cognitive Impairment (MCI), Alzheimer's disease (AD), fronto-temporal dementia (FTD), Lewi's Body (LB), and vascular dementia (VD) in a subject, by evaluating the PTMs to the said p53 linear sequence protein and possible cut of its full sequence specifically in human plasma of patients; and 2) prognosis of AD in CU and MCI patients.

Immobilized analytes

A method for detecting an analyte involving a) contacting the analyte, a capture agent and a solid surface to form a capture complex attached to a solid surface, b) cleaving at least one covalent bond within the analyte and/or within said capture agent in the capture complex and, thereby, releasing the analyte or a fragment thereof from the capture complex, and c) detecting at least one fragment of the analyte and, thereby, detecting the analyte is disclosed herein. A kit having i) a capture agent binding to an analyte; and ii) an agent cleaving at least one covalent bond within the analyte and/or within the capture agent; and to the use of a protease for releasing fragments of an analyte for detecting the analyte, wherein the analyte is bound to a solid surface via a capture agent is also disclosed herein.

Quantitative detection method for snake venom thrombin-like enzyme (SVTLE)

The present invention relates to the technical field of chemical analysis and quantitative detection, in particular to a quantitative detection method for snake venom thrombin-like enzyme (SVTLE) from Agkistrodon halys pallas. The quantitative detection method for the SVTLE includes the following steps of taking a reference substance of marker peptide for the SVTLE from Agkistrodon halys pallas with an amino acid sequence of LDSPVSNSAHIAPLSLPSSAPSVGSVCR, and preparing a series of reference solutions with different concentrations; adding the reference solutions in test solutions respectively for enzymolysis, and then taking a supernatant after enzymolysis as a series of solutions to be detected; and adding the solutions to be detected in a liquid chromatogram-mass spectrometer, and then selecting a qualitative ion pair and a quantitative ion pair to detect contents of marker peptide in the solutions to be detected.

QUANTITATION OF INSULIN-LIKE GROWTH FACTOR-I AND INSULIN-LIKE GROWTH FACTOR-II WITH HIGH-RESOLUTION MASS SPECTROMETRY
20230039315 · 2023-02-09 ·

Methods are provided for determining the amount of an IGF-I and/or IGF-II protein in a sample using high resolution/high accuracy mass spectrometry. The methods generally comprise enriching an IGF-I and/or IGF-II protein in a sample, ionizing an IGF-I and/or IGF-II protein from the sample to generate IGF-I and/or IGF-II protein ions, and determining the amount of IGF-I and/or IGF-II protein ions with high resolution/high accuracy mass spectrometry.

COMPOSITION AND METHOD FOR MODIFYING POLYPEPTIDES
20230044430 · 2023-02-09 ·

The present disclosure provides methods for site-selectively crosslinking payloads to antibodies and other proteins. This can be accomplished using traceless affinity labels designed to label target proteins with bio-orthogonally reactive entities (ORE) using the compositions and methods described herein.

Binding domain mapping

The present disclosure relates to compositions and methodology for revealing binding sites between proteins, proteins and nucleic acids, or proteins and small molecules. The disclosure provides rapid and direct positive identification and sequencing of the contact region between such molecules, and can be applied to individual interacting pairs, as well as large-scale or global interactions.

Copy protection for antibodies

The present disclosure is directed at an antibody conjugate having an antibody and a tag, wherein one or more element(s) present in the antibody exhibit an isotope ratio which differs from the naturally occurring isotope ratio of the one or more element(s), wherein the amount of the isotope which is less-common in nature, is increased to at least 4% of the atoms of the respective element in the antibody, as well as uses thereof.

Methods of characterizing condensate-associated characteristics of compounds and uses thereof

Methods of assessing, such as characterizing or determining, condensate-associated characteristics of a compound, such as a test compound, and applications thereof are provided. For example, methods of determining a partition characteristic of a test compound in a target condensate, methods of determining a relative partition characteristic of a test compound in a target condensate, and methods of determining a condensate preference profile of a test compound are provided. Additionally, methods of designing and/or identifying and/or making a compound, or portion thereof, with a desired relative condensate partition characteristic are provided.

Microbial classification of a biological sample by analysis of a mass spectrum
11495323 · 2022-11-08 · ·

Techniques for determining a microbial classification based on a mass spectrum are disclosed. A mass spectrometer generates a mass spectrum for a biological sample. A binning function is applied to the mass spectrum to generate a binned mass spectrum. As an example, a binned mass spectrum is associated with a set of bins having mass errors of the same value. A classification algorithm is applied to the binned mass spectrum to determine a microbial classification.