A method of analyzing a population of cells is disclosed. In certain embodiments, the method includes i) obtaining an array of cells on a substrate, wherein the cells are labeled with one or more mass tags and are separated from one another, ii) measuring, using secondary ion mass spectrometry (SIMS), the abundance of the one or more mass tags at a plurality of locations occupied by the cells, thereby generating, for each individual cell measured, a set of data, and iii) outputting the set of data for each of the cells analyzed. Also provided herein are systems that find use in performing the subject method. In some embodiments, the system is an automated system for analyzing a population of cells using SIMS.

The invention relates to the quantitative measurement of steroidal compounds by mass spectrometry. In a particular aspect, the invention relates to methods for quantitative measurement of steroidal compounds from multiple samples by mass spectrometry.

A phosphoprotein extraction method and a mass spectrometric method using a microbore hollow fiber enzymatic reactor (mHFER) based antigen-antibody reaction and, specifically, to an extraction method and a mass spectrometric method, wherein phosphoproteins or phosphopeptides present in the body are extracted using phosphoserine-, phosphothreonine-, and phosphotyrosine-antibodies, and measured by a mass spectrometer, and thus biomarker phosphoproteins for diagnosis of diseases are found, contributing to early diagnosis of diseases. The mass spectrometric method using the antigen-antibody reaction based extraction method can: minimize temporal and economic burdens resulting from a low extraction rate and a complicated sample pre-treatment; increase the extraction efficiency by using a considerable number of phosphopeptides (or phosphoproteins) and antibodies with strong affinity; and allow the extraction of low-concentration phosphopeptides or phosphoproteins, and thus is expected to have high applicability in discovering disease diagnosis protein markers and identifying and studying mechanisms thereof.

Systems and methods for measuring cross-modal similarity between mass spectra and peptides are provided. A deep learning network can be used and, by training on a variety of labeled spectra, the network can embed both spectra and peptides onto a Euclidean subspace where the similarity is measured by the L2 distance between different points. The network can be trained on a novel loss function, which can calculate the gradients from sextuplets of data points.

Methods are described for diagnosing or prognosing insulin resistance in diabetic and pre-diabetic patients, the method comprising determining the amount of insulin and C-peptide in a sample. Provided herein are mass spectrometric methods for detecting and quantifying insulin and C-peptide in a biological sample utilizing enrichment and/or purification methods coupled with tandem mass spectrometric or high resolution/high accuracy mass spectrometric techniques.

The present invention relates to a method for determining and quantifying β-casein derived proteose peptones and/or β-casein, said method comprising the steps of (i) providing a dairy-based product to be analysed; (ii) subjecting said product using liquid chromatography-mass spectrometry analysis; (iii) determining and/or quantifying said β-casein derived proteose peptones and/or β-casein in said product by detecting compounds of defined m/z values or deconvoluting the mass spectrometry spectra to calculate monoisotopic masses. The present invention also relates to nutritional compositions having a reduced content of β-casein derived proteose peptones and the uses hereof for e.g. treating, preventing and/or ameliorating abdominal pain in an infant.

The method describes rapid screening of whole blood samples, pin prick and blood spot cards, subjected to MALDI-ToF Mass spectrometry. The spectra is generated and compared to those from normal healthy controls. Characteristic spectra are indicative of the presence of a hemoglobinopathy and the method can be used to screen/diagnose all sickle cell diseases, alpha and beta Thalassemias.

Methods to determine risk of Alzheimer's disease and applications thereof are described. Generally, systems and methods utilize analyte measurements, such as dicarboxylic acid levels, to determine a risk of Alzheimer's disease. Based on Alzheimer disease risk, diagnostics or treatments can be performed.

The present invention relates to analytical methods for identifying and quantifying complex glycoconjugate compositions, particularly to the analysis of a polysaccharide component of a glycoprotein in a sample. The invention further relates to the use of liquid chromatography-mass spectrometry systems (“LC-MS systems”) in such analytical methods, e.g. to the use of LC-MS systems for in process control during glycoconjugate manufacturing.

The invention relates to a method to evaluate mass spectrometry data for the analysis of peptides from biological samples, particularly MALDI-TOF mass spectrometry data, comprising the steps of: providing expected mass defects; determining measured mass defects, i.e. the mass defects resulting from the mass spectrometry data; and comparing the measured mass defects with the expected mass defects.