Collision Induced Unfolding Enables the Quantitation of Isomass Biotherapeutics in Complex Biological Matrices

Self-packed size-exclusion columns enable versatile high-throughput native, top-down, and ion mobility-mass spectrometry studies on proteins and complexes

Native MS (nMS) is a key structural biology technique that makes it possible to study intact proteins and their interactions. Unfortunately, non-volatile salts are incompatible with nMS, which demands a laborious desalting procedure. Non-denaturing size-exclusion chromatography (SEC) allows both rapid desalting and separation and has previously been explored for nMS automation. However, SEC at conventional scale requires rather large sample amounts as well as harsh ESI conditions, which can cause protein unfolding. Capillary LC allows softer conditions; however, the few commercially available SEC columns appropriate for this flow rate are prohibitively expensive for many laboratories. Existing protocols for packing buffer exchange columns rely on specialized equipment and/or result in columns that have limited capacity for size-based protein separation. Here, we present self-packed miniaturized SEC columns with different stationary phases and customizable dimensions. The columns, produced via slurry packing with an ordinary LC pump were used across a range of samples in several applications including nMS, top-down MS (TDMS), ligand screening, and ion mobility (IM)-MS. Native separation allowed acquisition of data from samples containing more than one protein. We acquired native TDMS data of 3 proteins in 12 min, with up to 47 % sequence coverage. IM-MS of alpha-synuclein at different charge states was measured in ca. 60 min (including calibrants), with results that match the literature. Finally, we used SEC-nMS to rapidly screen proteolysis-targeting chimera candidates and performed collision-induced unfolding (CIU) of a PROTAC-induced ternary complex. Through this work, we highlight the potential of SEC to support developments in structural MS.

Roughhousing with Ions: Surface-Induced Dissociation and Electron Capture Dissociation as Diagnostics of Q-Cyclic IMS-TOF Instrument Tuning Gentleness

Native mass spectrometry can characterize a range of biomolecular features pertinent to structural biology, including intact mass, stoichiometry, ligand-bound states, and topology. However, when an instrument's ionization source is tuned to maximize signal intensity or adduct removal, it is possible that the biomolecular complex's tertiary and quaternary structures can be rearranged in a way that no longer reflect its native-like conformation. This could affect downstream ion activation experiments, leading to erroneous conclusions about the native-like structure. One activation strategy is surface-induced dissociation (SID), which generally causes native-like protein complexes to dissociate along the weakest subunit interfaces, revealing critical information about the complex's native-like topology and subunit connectivity. If the quaternary structure has been disturbed, then the SID fingerprint will shift as well. Thus, SID was used to diagnose source-induced quaternary structure rearrangement and help tune an instrument's source and other upstream transmission regions to strike the balance between signal intensity, adduct removal, and conserving the native-like structure. Complementary to SID, electron-capture dissociation (ECD) can also diagnose rearranged quaternary structures and was used after in-source activation to confirm that the subunit interfaces were rearranged, opening the structure to electron capture and subsequent dissociation. These results provide a valuable guide for new practitioners of native mass spectrometry and highlight the importance of using standard protein complexes when tuning new instrument platforms for optimal native mass spectrometry performance.

Recent advances in gas phase unfolding: Instrumentation and applications

Broader adoption of native mass spectrometry (MS) and ion mobility-mass spectrometry (IM-MS) has propelled the development of several techniques which take advantage of the selectivity, sensitivity, and speed of MS to make measurements of complex biological molecules in the gas phase. One such method, collision induced unfolding (CIU), has risen to prominence in recent years, due to its well documented capability to detect shifts in structural stability of biological molecules in response to external stimuli (e.g., mutations, stress, non-covalent interactions, sample conditions etc.). This increase in reported CIU measurements is enabled partly due to advances in IM-MS instrumentation by vendors, and also innovative method development by researchers. This perspective highlights a few of these advances and concludes with a look forward toward the future of the gas phase unfolding field.

Cyclic Ion Mobility-Mass Spectrometry and Tandem Collision Induced Unfolding for Quantification of Elusive Protein Biomarkers

Sensitive analytical techniques that are capable of detecting and quantifying disease-associated biomolecules are indispensable in our efforts to understand disease mechanisms and guide therapeutic intervention through early detection, accurate diagnosis, and effective monitoring of disease. Parkinson's Disease (PD), for example, is one of the most prominent neurodegenerative disorders in the world, but the diagnosis of PD has primarily been based on the observation of clinical symptoms. The protein α-synuclein (α-syn) has emerged as a promising biomarker candidate for PD, but a lack of analytical methods to measure complex disease-associated variants of α-syn has prevented its widespread use as a biomarker. Antibody-based methods such as immunoassays and mass spectrometry-based approaches have been used to measure a limited number of α-syn forms; however, these methods fail to differentiate variants of α-syn that display subtle differences in only the sequence and structure. In this work, we developed a cyclic ion mobility-mass spectrometry method that combines multiple stages of activation and timed ion selection to quantify α-syn variants using both mass- and structure-based measurements. This method can allow for the quantification of several α-syn variants present at physiological levels in biological fluid. Taken together, this approach can be used to galvanize future efforts aimed at understanding the underlying mechanisms of PD and serves as a starting point for the development of future protein-structure-based diagnostics and therapeutic interventions.