Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.

Kits and methods of using the kits for analyzing macromolecules, including peptides, polypeptides, and proteins, employing nucleic acid encoding are disclosed. The sample analysis kits employ nucleic acid encoding and/or nucleic acid recording of a molecular interaction and/or reaction, such as recognition events (e.g., between an antigen and an antibody, between a modified terminal amino acid residue, or between a small molecule or peptide therapeutic and a target, etc.). Additional barcoding reagents, such as those for cycle-specific barcoding (e.g., “clocking”), compartment barcoding, combinatorial barcoding, spatial barcoding, or any combination thereof, may be included in the kits. The sample may comprise macromolecules, including peptides, polypeptides, and proteins, and the recording may generate molecular interaction and/or reaction information, and/or polypeptide sequence information. The kits may be used in high-throughput, multiplexed, and/or automated analysis, and are suitable for analysis of a proteome or subset thereof.

The present invention provides photo-cleavable anionic surfactants, particularly 4-hexylphenylazosulfonate (Azo) and sodium 4-hexylphenylazosulfonate derivatives, which can be rapidly degraded upon UV irradiation, for top-down and bottom-up proteomics. These surfactants can effectively solubilize proteins and peptide fragments with performance comparable to sodium dodecyl sulfate (SDS) and are compatible with mass spectrometry analysis of the solubilized proteins and peptide fragments. Top-down proteomic studies using the present photo-cleavable anionic surfactants has allowed the detection of 100-fold more unique proteoforms as compared to controls and has enabled the solubilization of membrane proteins for comprehensive characterization of protein post-translational modifications. In addition, the present photo-cleavable anionic surfactants are also suitable for dissolving polypeptides in bottom-up proteomic experiments including extracellular matrix proteomics, and are suitable as a substitute for SDS in gel electrophoresis.

The present invention relates generally to a method for extracting cannabis-derived proteins from cannabis plant material, including the preparation of samples of extracted cannabis-derived proteins for proteomic analysis and methods for analysing a cannabis plant proteome.

The present invention includes a method for analyzing reactions. The method includes the steps of providing a solution of at least one acceptor chemical and at least one donor chemical. The donor chemical is capable of donating a chemical moiety to the acceptor chemical. The solution further includes at least one controller chemical that affects the reaction between the donor chemical and the acceptor chemical. The solution is then incubated so that a portion of the acceptor chemical reacts with the donor chemical to form an acceptor product. Unreacted donor chemical is separated from the acceptor product. The acceptor product or the donor chemical is then measured using X-ray fluorescence. Another aspect of the present invention includes a method for analyzing protein function. The method includes the steps of providing a solution of at least one acceptor chemical and at least one donor chemical. The donor chemical is capable of donating a chemical moiety to the acceptor chemical. The donor chemical includes a functional group selected from ester, anhydride, imide, acyl halide, and amide. The solution is then incubated so that a portion of the acceptor chemical reacts with the donor chemical to form an acceptor product. Unreacted donor chemical is separated from the acceptor product. The acceptor product or the donor chemical is then measured using X-ray fluorescence. Yet another aspect of the present invention includes a method for analyzing protein function. The method includes the steps of providing a solution of at least one acceptor chemical and at least one donor chemical. The solution is then incubated so that a portion of the acceptor chemical reacts with the donor chemical to form an acceptor product. Unreacted donor chemical is separated from the acceptor product. The acceptor product or the donor chemical is then measured using X-ray fluorescence. An additional analytical method is also used to measure either the acceptor product or the donor chemical.

The present disclosure provides methods to quantify tau phosphorylation at specific amino acid residues, using blood samples, to predict time to onset of mild cognitive impairment due to Alzheimer's disease, stage Alzheimer's disease, guide treatment decisions, select subjects for clinical trials, and evaluate the clinical efficacy of certain therapeutic interventions.

The present invention relates to methods and products associated with in vivo enzyme profiling. In particular, the invention relates to methods of in vivo processing of exogenous molecules followed by detection of signature molecules as representative of the presence of active enzymes associated with diseases or conditions. The invention also relates to products, kits, and databases for use in the methods of the invention.

The present invention relates to the treatment of diseases relating to proteins of the human microbiome metasecretome and, thus, to microbiome interactions, especially microbiome-host interactions. In particular the present invention relates to a method for identification of secreted peptides and proteins of the human microbiome. The present invention also relates to methods for generating a database of human microbiome metasecretome protein sequences. Furthermore, the present invention relates to a method for preparing a protein of the human microbiome metasecretome as well as to the use of such proteins in medicine.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

A biomarker diagnostic system includes a sensor to collect a sweat sample from a biological subject; a processor operatively connected to the sensor, wherein the processor is configured to perform metabolic and proteomic profiling of biomarkers in the sweat sample. The metabolic and proteomic profile is compared to a predetermined profile of the biomarkers and to determine a physiological status of the biomarkers. The system further includes a feedback unit operatively coupled to the sensor and the processor and configured to output physiological performance data based on the physiological status.