The embodiments of the present disclosure provide a method for analyzing a body fluid proteome. The method comprises: obtaining a sample to be tested I enriched with low-abundance proteins by removing high-abundance proteins in an initial sample A using an affinity technique; obtaining a sample to be tested II enriched with low-abundance proteins by removing high-abundance proteins in an initial sample B using chemical precipitation, wherein the initial sample A and the initial sample B are obtained from a same body fluid sample of a same subject; obtaining a proteome data set I by performing proteomic analysis on the sample to be tested I; obtaining a proteome data set II by performing proteomic analysis on the sample to be tested II; and determining a final quantified proteome data set of the body fluid sample based on the proteome data set I and the proteome data set II.

Methods, systems and circuits evaluate a subject's CVD risk using a risk parameter that includes at least one HDL and inflammatory biomarker interaction parameter. The inflammatory biomarker may optionally comprise NMR derived measurements of GlycA from at least one biosample of the subject. The risk parameter may be gender-specific.

The present invention relates to a method for ex-vivo or in-vitro evaluation of an effect of a molecule of interest on at least one molecular marker in a dosed biological sample. The method of the invention is based on the segmentation of a biological sample based on the concentration of a molecule of interest and the comparison of molecular changes associated to the presence of the molecule of interest within different parts/segments of a same biological sample or between different biological samples, which may comprise different amounts of said molecule of interest and/or different molecules of interest.

The invention provides methods of characterising the mode of action of a test compound by exposing populations of a living system to control and treatment conditions, using an unlabeled and labeled isotope source materials. The measurement of the isotopomer distribution of metabolites reveals the effect of the test compounds on the metabolism in that living systems. Further embodiments include where the living system is a plant, fungus, invertebrate, bacteria or virus, and where the test compound is a screening lead in a pesticide product development program.

The field of this invention relates to immunohistochemistry (IHC) and in situ hybridization (ISH) for the targeted detection and mapping of biomolecules (e.g., proteins and miRNAs) in tissues or cells for example, for research use and for clinical use such by pathologists (e.g., biomarker analyses of a resected tumor or tumor biopsy). In particular, the use of mass spectrometric imaging (MSI) as a mode to detect and map the biomolecules in tissues or cells for example. More specifically, the field of this invention relates to photocleavable mass-tag reagents which are attached to probes such as antibodies and nucleic acids and used to achieve multiplex immunohistochemistry and in situ hybridization, with MSI as the mode of detection/readout. Probe types other than antibodies and nucleic acids are also covered in the field of invention, including but not limited to carbohydrate-binding proteins (e.g., lectins), receptors and ligands. Finally, the field of the invention also encompasses multi-omic MSI procedures, where MSI of photocleavable mass-tag probes is combined with other modes of MSI, such as direct label-free MSI of endogenous biomolecules from the biospecimen (e.g., tissue), whereby said biomolecules can be intact or digested (e.g., chemically digested or by enzyme).

The present invention includes compositions and methods useful for the detection of a mutational change, SNP, translocation, inversion, deletion, change in copy number, or other genetic variation within a sample of cellular genomic DNA or cell-free DNA (cfDNA). In some embodiments, the compositions and methods of the present invention provide an extremely high level of resolution that is particularly useful in detecting copy number variations in a small fraction of the total cfDNA from a biological sample (e.g., blood).

Methods of determining a therapy for a solid cancer comprising thermodynamic-based analysis of single-cell proteomic data from tumor-derived cells are provided. Methods for determining a combination therapy comprising thermodynamic-based analysis of single cell proteomic data from tumor-derived cells that have received a first therapy are also provided. Methods of treating a subject suffering from triple-negative breast cancer, comprising administering radiotherapy, anti-Her2 therapy and anti-cMet therapy are also provided.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

In aspects, the present disclosure provides methods of using multi-tissue organoids bodies including for analyzing the genome or transcriptome of a mammal, analyzing a cellular response to a treatment, determining an effect of a substance, or analyzing a cellular response to a treatment.

This invention provides methods for diagnosing Alzheimer's disease in a symptomatic human subject. These methods comprise measuring the growth rate, size and/or protein amount of a subject's skin fibroblasts and/or lymphocytes, and determining whether these values differ in certain ways from those of corresponding non-Alzheimer's disease dementia cells. This invention also provides methods for determining whether an asymptomatic human subject is at risk from becoming afflicted with Alzheimer's disease.