Methods are provided for detecting the amount of one or more HRT panel analytes (i.e., estrone (E1), estrone sulfate (E1s), 17-estradiol (E2a), 17-estradiol (E2b), estradiol sulfate (E2s), estriol (E3), equilin (EQ), 17-dihydroequilin (EQa), 17-dihydroequilin (EQb), Equilenin (EN), 17-dihydroequilenin (ENa), 17-dihydroequilenin (ENb), and 8,9-dehydroestrone (dE1)) in a sample by mass spectrometry. The methods generally involve ionizing one or more HRT panel analytes in a sample and quantifying the generated ions to determine the amount of one or more HRT panel analytes in the sample. In methods where amounts of multiple HRT panel analytes are detected, the amounts of multiple analytes are detected in the same sample injection.

This invention is a novel method for analysis of data that is produced by test equipment. The preferred embodiment is data produced by liquid chromatography tandem mass spectrometry (LC-MS/MS) equipment, using industry standard methods to generate the initial data from the test equipment. The invention is a method for processing of the data to promptly produce accurate, reliable, and meaningful data that can be used for critical decisions. The unique benefit of the method is to correct the multiple measurement and calculation errors that are inherent in the operation of laboratory equipment. Prior methods result in errors based on circumstances that are difficult to control, accuracy-related errors in machine measurements, and fundamental mathematical errors in the data processing software that used with the laboratory equipment. As an added benefit, this novel method allows comprehensive simultaneous measurement and calculation of correlation of any and all peptide pairs in a single measurement, with the capability to support repeated measurements with changed conditions over time. This novel method allows robust, detailed, and comprehensive measurements of peptide activity and function, which results in substantial improvements over prior methods in accuracy, reliability, and efficiency.

A proteomic expression platform to identify age-related sepsis risk is disclosed using patients with an intra-abdominal infection. A semi-quantitative plasma proteomics workflow was applied which incorporated tandem immuno affinity depletion, iTRAQ labeling, strong cation exchange fractionation, and nanoflow-liquid chromatography coupled to high resolution mass spectrometry. A protein profile was determined that exhibit statistically significant differences in expression levels amongst patients with severe sepsis as a function of age. Representative pathways that are differentially-expressed include, but are not limited to, acute phase response, coagulation signaling, atherosclerosis signaling, lipid metabolism, and production of nitric oxide/reactive oxygen species.

Disclosed are methods and systems for measuring serotonin in a sample using liquid chromatography and mass spectrometry.

The present disclosure provided methods and systems for diagnosing diseases and monitoring their progression and therapeutic responses by detecting a presence or absence, or an increase or decrease, of one or more substances in a sample.

The invention relates to a method for identifying marker proteins for the purpose of diagnosis and risk stratification of blood coagulation disorders.

The present invention relates to a simultaneous analysis method for a target using a plurality of metal nano-tags and, more particularly, to a simultaneous analysis method for a target using a plurality of metal nano-tags, wherein the method fuses a nano-particle technology on the basis of an antigen-antibody reaction, which is a conventional biological immune response, and simultaneously diagnoses a plurality of target materials by using a plurality of antigen-antibody reactions and a plurality of metal nano-tags, thereby enhancing diagnostic effect.

Methods for producing isotopically-labelled peptides are provided. Aspects of the method include: contacting a sample including a metabolically tagged protein with a cleavable probe to produce a probe-protein conjugate; separating the probe-protein conjugate from the sample; digesting the probe-protein conjugate to produce a probe-peptide conjugate; and cleaving a cleavable linker to release an isotopically labelled peptide. The method may further include: identifying a predetermined isotopic pattern in a mass spectrum; determining an amino acid sequence of the isotopically labelled peptide; and identifying the site of protein glycosylation based on the determined amino acid sequence. Also provided are cleavable probes for practicing the subject methods, described by the Formula: A-L-(M-Z) where A is an affinity tag, L is a cleavable linker, M is an isotopic label and Z is a chemoselective tag capable of cross-linking a metabolically tagged protein. Compositions and kits for practicing the subject methods are also provided.

A number of methods and computer systems related to mass spectrometric data analysis are disclosed. Adoption of the disclosure herein facilitates automated, high throughput, rapid analysis of complex datasets such as datasets generated through mass spectrometric analysis, so as to reduce or eliminate the need for oversight in the analysis process while rapidly yielding accurate results. In some cases, identification of a health condition indicator is carried out based on information relating a predetermined association between an input parameter and a health condition indicator.

Provided herein are methods for determining the serotype of a virus particle and/or or determining the heterogeneity of a virus particle (e.g., an AAV particle). In other embodiments, the invention provides methods to determine the heterogeneity of AAV particles. In some aspects, the invention provides viral particles (e.g., rAAV particles) with improved stability and/or improved transduction efficiency by increasing the acetylation and/or deamidation of capsid proteins.