Towards a simple on-line coupling of ion exchange chromatography and native mass spectrometry for the detailed characterization of monoclonal antibodies.

This work describes the direct hyphenation of cation exchange chromatography (CEX) with a compact, easy-to-use benchtop Time of Flight mass spectrometer (ToF/MS) for the analytical characterization of monoclonal antibodies (mAbs). For this purpose, a wide range of commercial mAb products (including expired samples and mAb biosimilars) were selected to draw reliable conclusions. From a chromatographic point of view, various buffers and column dimensions were tested. When considering pH response, buffer stability over time and MS compatibility, the best compromise is represented by the following recipe: 50 mM ammonium acetate, titrated to pH 5.0 (mobile phase A) and 160 mM ammonium acetate, titrated to pH 8.5 (mobile phase B). Despite the broader peaks observed with the 2.1 mm i.d. CEX column, this was preferentially selected for CEX-MS operation, since the efficiency loss (caused by extra-column dispersion) was still acceptable while MS compatibility was strongly enhanced (thanks to low flow rate). In terms of MS, it was important to avoid the use of glass-bottled mobile phases, laboratory glassware and glass vials to minimize loss of MS resolution, sensitivity, and mass accuracy due to metal contaminants. With this new CEX-MS setup, straightforward and rapid analysis (in less than 10 min) of charge variants was possible, allowing the separation and identification of several charge variants.

Coupling non-denaturing chromatography to mass spectrometry for the characterization of monoclonal antibodies and related products.

The hyphenation of non-denaturing liquid chromatographic (LC) modes (ion exchange (IEX), size exclusion (SEC) and hydrophobic interaction chromatography (HIC)) with mass spectrometry (MS) has attracted significant attention in the last few years. The inherent problem of these couplings is that non-denaturing LC separations have tended to use non-volatile mobile phase additives. Indeed, classical methods have not been directly compatible with MS. Therefore two approaches can be used to address this challenge: (1) finding innovative volatile mobile phases or (2) adding a desalting step prior to MS detection via the use of multidimensional LC. These two possibilities have been applied to the characterization of charge-, size- and hydrophobic variants of various monoclonal antibodies (mAbs) and related products and have been reviewed in this paper.

Bottom-up proteomics analysis of the secretome of murine islets of Langerhans in elevated glucose levels.

Glucotoxicity is a causative agent of type-2 diabetes, where high glucose levels damage the islets of Langerhans resulting in oxidative damage and endoplasmic reticulum stress. We evaluated the secretomes of healthy CD-1 murine islets. Three experimental conditions were investigated in biological triplicate: a control incubated with 11 mM glucose, 1-day incubation with 25 mM glucose, and 2-day incubation with 25 mM glucose. An SDS-based, filter-aided sample preparation protocol was used to prepare secretomes for analysis. A total of 428 protein groups were identified across the nine samples. Each condition generated between 328-349 protein IDs and intracondition protein overlap was between 66-90% for the biological triplicates. 232 protein groups were identified in all three conditions with 184 quantified at least once in each condition. Significant expression changes were observed for proteins associated with the unfolded protein response, such as proteases, chaperones, and elongation factors, as well as proteins associated with peptide hormone processing and small molecule metabolism.

Sample preparation protocol for bottom-up proteomic analysis of the secretome of the islets of Langerhans.

We evaluate a set of protocols for preparation of the secretome from murine islets of Langerhans for bottom-up proteomic analysis. Of the protocols evaluated, a filter-aided sample preparation based approach using sodium dodecyl sulfate as a detergent to solubilize proteins generated the most protein identifications. A total of 362 protein groups (average of 3.7 peptides/protein) were identified from the secretome using the SDS-FASP protocol; a combination of data from three protocols generated 413 protein group identifications. As expected, the identified proteins included insulin 1 and 2, somatostatin, and glucagon, the four main secreted components from islets. STRING network analysis classified the other proteins as being associated with extracellular exosomes, membrane-bounded vesicles, vesicles, and the extracellular region.