Mixed-Bed Ion Exchange Chromatography Employing a Salt-Free pH Gradient for Improved Sensitivity and Compatibility in MudPIT

Automated ion exchange chromatography screening combined with in silico multifactorial simulation for efficient method development and purification of biopharmaceutical targets

Bioprocess development of increasingly challenging therapeutics and vaccines requires a commensurate level of analytical innovation to deliver critical assays across functional areas. Chromatography hyphenated to numerous choices of detection has undeniably been the preferred analytical tool in the pharmaceutical industry for decades to analyze and isolate targets (e.g., APIs, intermediates, and byproducts) from multicomponent mixtures. Among many techniques, ion exchange chromatography (IEX) is widely used for the analysis and purification of biopharmaceuticals due to its unique selectivity that delivers distinctive chromatographic profiles compared to other separation modes (e.g., RPLC, HILIC, and SFC) without denaturing protein targets upon isolation process. However, IEX method development is still considered one of the most challenging and laborious approaches due to the many variables involved such as elution mechanism (via salt, pH, or salt-mediated-pH gradients), stationary phase's properties (positively or negatively charged; strong or weak ion exchanger), buffer type and ionic strength as well as pH choices. Herein, we introduce a new framework consisting of a multicolumn IEX screening in conjunction with computer-assisted simulation for efficient method development and purification of biopharmaceuticals. The screening component integrates a total of 12 different columns and 24 mobile phases that are sequentially operated in a straightforward automated fashion for both cation and anion exchange modes (CEX and AEX, respectively). Optimal and robust operating conditions are achieved via computer-assisted simulation using readily available software (ACD Laboratories/LC Simulator), showcasing differences between experimental and simulated retention times of less than 0.5%. In addition, automated fraction collection is also incorporated into this framework, illustrating the practicality and ease of use in the context of separation, analysis, and purification of nucleotides, peptides, and proteins. Finally, we provide examples of the use of this IEX screening as a framework to identify efficient first dimension (¹D) conditions that are combined with MS-friendly RPLC conditions in the second dimension (²D) for two-dimensional liquid chromatography experiments enabling purity analysis and identification of pharmaceutical targets.

Mixed-bed affinity chromatography: principles and methods

Mixed-bed chromatography is far from being a well-established technology within the panoply of bioseparation tools. Composed of an assembly of distinct sorbents that are mixed in a single bed, they have been mostly developed in the last decade for the reduction of dynamic concentration range where they allowed discovering many low-copy proteins within very complex proteomes. Other interesting preparative applications of mixed-bed chromatography have since been developed. In this chapter the basic concepts first and then detailed application recipes are described for (1) the reduction of protein dynamic concentration range, (2) the removal of impurity traces at the last stage of a biopurification process, and (3) the selection and use of sorbents as mixed bed in protein purification.

Solid-phase extraction strategies to surmount body fluid sample complexity in high-throughput mass spectrometry-based proteomics

For large-scale and standardized applications in mass spectrometry- (MS-) based proteomics automation of each step is essential. Here we present high-throughput sample preparation solutions for balancing the speed of current MS-acquisitions and the time needed for analytical workup of body fluids. The discussed workflows reduce body fluid sample complexity and apply for both bottom-up proteomics experiments and top-down protein characterization approaches. Various sample preparation methods that involve solid-phase extraction (SPE) including affinity enrichment strategies have been automated. Obtained peptide and protein fractions can be mass analyzed by direct infusion into an electrospray ionization (ESI) source or by means of matrix-assisted laser desorption ionization (MALDI) without further need of time-consuming liquid chromatography (LC) separations.

Identification and characterisation of peptide binding motifs of six autoimmune disease-associated human leukocyte antigen-class I molecules including HLA-B*39:06

Research on CD8 T cell-mediated inflammatory diseases requires a better understanding of target epitopes and the constraints placed upon these by major histocompatibility complex (MHC) class I binding restrictions, especially those that relate to predisposing alleles. We used linear trap quadrupole fourier transform (LTQ-FT) tandem mass spectrometry to identify naturally processed and presented peptides eluted from the MHC-negative myeloid leukaemia cell line K562 transfected with specific MHC class I genes. We provide information on the peptidome of HLA-B*39:06, which is associated with the autoimmune disease type 1 diabetes, and extend the analysis to include a further five human leukocyte antigen (HLA) alleles (HLA-A*02:01/-A*11:01/-A*24:02/-B*18:01/-B*38:01) studied under identical experimental conditions. We identified a total of 3095 individual peptides with a mascot score ≥40 (HLA-A*02:01 = 569 peptides, -A*11:01 = 904, A*24:02 = 257, -B*18:01 = 615, -B*38:01 = 453, -B*39:06 = 297). Peptides had a preferential length of nine amino acids and originated mainly from cytoplasmic or nuclear proteins. Eluted peptides revealed a strong binding motif with binding anchor positions at position 2 (P2) and the C-terminus (PΩ). Peptides eluted from HLA-A*02:01 showed a P2 preference for leucine (62% of total peptides have Leu at P2) and PΩ preference for valine (49%). Similar data are provided for HLA-A*11:01 (P2:Thr, 29%; PΩ:Lys, 49%), -A*24:02 (P2:Tyr, 78%; PΩ:Phe, 41%), -B*18:01 (P2:Glu, 77%; PΩ:Tyr, 32%), -B*38:01 (P2:His, 51%; PΩ:Leu, 45%) and -B*39:06 (P2:Arg/His, 24%; PΩ:Ala, 64%). This work thus gives an overview of the naturally processed and presented repertoire of several common and autoimmune disease-related HLA alleles, which may be useful in studying autoreactive CD8 T cell responses and the role of HLA in disease susceptibility.

Characterization and usage of the EASY-spray technology as part of an online 2D SCX-RP ultra-high pressure system

The EASY-spray technology can now be implemented as a simple online 2D SCX-RP ultra-high pressure system, which allows one to reach deep proteome coverages.