Raman spectroscopy as a method to replace off-line pH during mammalian cell culture processes.

Raman spectroscopy is a robust, well-established tool utilized for measuring important cell culture process variables for example, feed, metabolites, and biomass in real-time. This study further expands the functionality of in-line Raman spectroscopy coupled with partial least squares (PLS) regression modelling to develop a pH measurement tool. Cell line specific models were developed to enhance the robustness for processes with different pH setpoints, deadbands, and cellular metabolism. The modelling strategy further improved robustness by reducing the temporal complexity of pH shifts by splitting data sets into two time zones reflective of major changes in pH. In addition, models were developed to assess if lactate and partial pressure of carbon dioxide (pCO2 ) could be used in a PLS model for pH. Splitting the data sets into early and late for the process resulted in errors of 0.035 pH and 0.034 pH for the two respective Raman cell lines models which was within acceptance criteria. The lactate and pCO2 PLS model with values provided by Raman models had a further 0.001 pH error reduction. This study illustrates the potential to eliminate off-line samples to correct for in-line measurements of pH and further illustrates the capabilities of Raman to measure additional process variables.

Aggregation of Aß(17-36) in the Presence of Naturally Occurring Phenolic Inhibitors Using Coarse-Grained Simulations.

Although some naturally occurring polyphenols have been found to inhibit amyloid ß (Aß) fibril formation and reduce neuron cell toxicity in vitro, their exact inhibitory mechanism is unknown. In this work, discontinuous molecular dynamics combined with the PRIME20 force field and a newly built inhibitor model are performed to examine the effect of vanillin, resveratrol, curcumin, and epigallocatechin-3-gallate (EGCG) on the aggregation of Aß(17-36) peptides. Four sets of peptide/inhibitor simulations are performed in which inhibitors (1) bind to Aß(17-36) monomer (2) interfere with Aß(17-36) oligomerization (3) disrupt a pre-formed Aß(17-36) protofilament, and (4) prevent the growth of Aß(17-36) protofilament. The single-ring compound, vanillin, slightly slows down but cannot inhibit the formation of a U-shaped Aß(17-36) protofilament. The multiple-ring compounds, EGCG, resveratrol, and curcumin, redirect Aß(17-36) from a fibrillar aggregate to an unstructured oligomer. The three aromatic groups of the EGCG molecule are in a stereo (nonplanar) configuration, helping it contact the N-terminal, middle, and C-terminal regions of the peptide. Resveratrol and curcumin bind only to the hydrophobic residues near peptide termini. The rank order of inhibitory effectiveness of Aß(17-36) aggregation is as follows: EGCG > resveratrol > curcumin > vanillin, consistent with experimental findings on inhibiting full-length Aß fibrillation. Furthermore, we learn that the inhibition effect of EGCG is specific to the peptide sequence, while those of resveratrol and curcumin are non-specific in that they stem from strong interference with hydrophobic side-chain association, regardless of the residues' location and peptide sequence. Our studies provide molecular-level insights into how polyphenols inhibit Aß fibril formation, knowledge that could be useful for designing amyloid inhibitors.

Effects of hydrophobic macromolecular crowders on amyloid ß (16-22) aggregation.

In Alzheimer's disease (AD), the amyloid ß (Aß) peptide aggregates in the brain to form progressively larger oligomers, fibrils, and plaques. The aggregation process is strongly influenced by the presence of other macromolecular species, called crowders, that can exert forces on the proteins. One very common attribute of macromolecular crowders is their hydrophobicity. We examined the effect of hydrophobic crowders on protein aggregation by using discontinuous molecular dynamics (DMD) simulations in combination with an intermediate resolution protein model, PRIME20. The systems considered contained 48 Aß (16-22) peptides and crowders with diameters of 5 Å, 20 Å, and 40 Å, represented by hard spheres or spheres with square-well/square-shoulder interactions, at a crowder volume fraction of ϕ = 0.10. Results show that low levels of crowder hydrophobicity are capable of increasing the fibrillation lag time and high levels of crowder hydrophobicity can fully prevent the formation of fibrils. The types of structures that remain during the final stages of the simulations are summarized in a global phase diagram that shows fibril, disordered oligomer, or ß-sheet phases in the space spanned by crowder size and crowder hydrophobicity. In particular, at high levels of hydrophobicity, simulations with 5 Å crowders result in only disordered oligomers and simulations with 40 Å crowders result in only ß-sheets. The presence of hydrophobic crowders reduces the antiparallel ß-sheet content of fibrils, whereas hard sphere crowders increase it. Finally, strong hydrophobic crowders alter the secondary structure of the Aß (16-22) monomers, bending them into a shape that is incapable of forming ordered ß-sheets or fibrils. These results qualitatively agree with previous theoretical and experimental work.

Effects of macromolecular crowding on amyloid beta (16-22) aggregation using coarse-grained simulations.

To examine the effect of crowding on protein aggregation, discontinuous molecular dynamics (DMD) simulations combined with an intermediate resolution protein model, PRIME20, were applied to a peptide/crowder system. The systems contained 192 Aß(16-22) peptides and crowders of diameters 5, 20, and 40 Å, represented here by simple hard spheres, at crowder volume fractions of 0.00, 0.10, and 0.20. Results show that both crowder volume fraction and crowder diameter have a large impact on fibril and oligomer formation. The addition of crowders to a system of peptides increases the rate of oligomer formation, shifting from a slow ordered formation of oligomers in the absence of crowders, similar to nucleated polymerization, to a fast collapse of peptides and subsequent rearrangement characteristic of nucleated conformational conversion with a high maximum in the number of peptides in oligomers as the total crowder surface area increases. The rate of conversion from oligomers to fibrils also increases with increasing total crowder surface area, giving rise to an increased rate of fibril growth. In all cases, larger volume fractions and smaller crowders provide the greatest aggregation enhancement effects. We also show that the size of the crowders influences the formation of specific oligomer sizes. In our simulations, the 40 Å crowders enhance the number of dimers relative to the numbers of trimers, hexamers, pentamers, and hexamers, while the 5 Å crowders enhance the number of hexamers relative to the numbers of dimers, trimers, tetramers, and pentamers. These results are in qualitative agreement with previous experimental and theoretical work.