Abstract: The disclosure features methods that include obtaining a vibrational spectrum of a solution in a biological manufacturing system, analyzing the vibrational spectrum using a first chemometrics model to determine a value of a first quality attribute associated with the solution, analyzing the vibrational spectrum using a second chemometrics model to determine a value of a second quality attribute associated with the solution, and adjusting at least one parameter of a purification unit of the biological manufacturing system based on at least one of the values of the first and second quality attributes.

Abstract: Systems for measuring a product quality attribute of an analyte of a biological sample include a first flow control device, a sample purification device, a second flow control device in fluid communication with first and second sample analyzers, where the first sample analyzer includes a first chromatography column, and a control unit configured so that during operation of the system, the control unit adjusts a configuration of the second flow control device to direct a portion of the biological sample to one of the first and second sample analyzers, and determines a product quality attribute of an analyte of the biological sample based on an analysis of the portion of the biological sample by the one of the first and second sample analyzers.

Abstract: The disclosure features methods that include obtaining a vibrational spectrum of a solution in a biological manufacturing system, analyzing the vibrational spectrum using a first chemometrics model to determine a value of a first quality attribute associated with the solution, analyzing the vibrational spectrum using a second chemometrics model to determine a value of a second quality attribute associated with the solution, and adjusting at least one parameter of a purification unit of the biological manufacturing system based on at least one of the values of the first and second quality attributes.

Abstract: Methods of identifying subjects having, or at risk of developing, diabetes, obesity, and/or hypertension are disclosed, as well as methods of identifying biomarkers for diabetes, obesity, and/or hypertension, and biomarkers identified by such methods.

Abstract: Methods of identifying subjects having, or at risk of developing, diabetes, obesity, and/or hypertension are disclosed, as well as methods of identifying biomarkers for diabetes, obesity, and/or hypertension, and biomarkers identified by such methods.

Abstract: Methods, compositions, and kits related to the use of multi-ligand affinity chromatography are described. The methods include those related to identification of glycoprotein panels for analyzing and diagnosing disease.

Abstract: Described herein are methods and techniques to study the “degradome”. The degradome of a specific protease is the complete product of the natural substrate repertoire of that enzyme in a cell, tissue or organism. The complete set of proteases that are expressed at a particular moment or circumstance by a cell, tissue or organism produces the collective degradome. Included in the methods described herein are approaches that allow the direct identification and characterization of degradome peptides from approx. 400 to approx. 12,000 Da. The methods of the invention avoid the inherent problems of studying the peptidome by focusing on specific or unique proteolytic cleavages that occur as a result of endogenous protease activity induced by specific diseases. Once characterized, the presence of, or change in level of, specific peptides of the degradome can be used, e.g.

Abstract: The invention provides methods and reagents for the esterification of peptides. The methods can be used to (i) enable a peptide in a first sample to be quantified relative to the level of the same peptide in a second sample, (ii) identify peptides in a complex mixtures that are targets for sequencing efforts, and (iii) aid peptide sequence elucidation. Methods that promote esterification and the formation of esters that are labeled with stable isotopes are described. These methods are useful for the analysis of low concentration (e.g., sub-femtomole) peptide mixtures.