Antibodies are one of the most formidable molecular weapons available to our immune system. Their high specificity against a target (antigen) and capability of triggering different immune responses ( e.g. , complement system activation and antibody-dependent cell-mediated cytotoxicity) make them ideal drugs to fight many different human diseases. Currently, both monoclonal antibodies and more complex molecules based on the antibody scaffold are used as biologics. Naturally, such highly heterogeneous molecules require dedicated analytical methodologies for their accurate characterization. Mass spectrometry (MS) can define the presence and relative abundance of multiple features of antibodies, including critical quality attributes. The combination of small and large variations within a single molecule can only be determined by analyzing intact antibodies or their large (25 to 100 kDa) subunits. Hence, top-down (TD) and middle-down (MD) MS approaches have gained popularity over the last decade. In this Young Scientist Feature we discuss the evolution of TD and MD MS analysis of antibodies, including the new frontiers that go beyond biopharma applications. We will show how this field is now moving from the "quality control" analysis of a known, single antibody to the high-throughput investigation of complex antibody repertoires isolated from clinical samples, where the ultimate goal is represented by the complete gas-phase sequencing of antibody molecules without the need of any a priori knowledge.
Keyphrases
- mass spectrometry
- single molecule
- liquid chromatography
- quality control
- high throughput
- immune response
- multiple sclerosis
- single cell
- high resolution
- ms ms
- high performance liquid chromatography
- endothelial cells
- gas chromatography
- capillary electrophoresis
- molecular dynamics
- healthcare
- machine learning
- stem cells
- atomic force microscopy
- deep learning
- bone marrow
- cell therapy
- toll like receptor
- quality improvement
- drug delivery
- simultaneous determination
- microbial community
- antibiotic resistance genes