Structure-potential dependence of adsorbed enzymes and amino acids revealed by the surface enhanced Raman effect

Surface enhanced Raman scattering (SERS) of some enzymes (alkaline phosphatase, horseradish peroxidase and lactoperoxidase) and some amino acids (tryptophan, tyrosine and phenylalanine) on silver electrodes has been studied. The spectral band intensities of certain amino acids and amino acid residues were determined by their orientation on the surface and depended on the electrode potential (E).Abbreviations SERS surface enhanced Raman scattering - Trp tryptophan - Tyr tyrosine - Phe phenylalanine - E electrode potential - ORC oxidation-reduction cycle     

Characterization of mammalian cell culture raw materials by combining spectroscopy and chemometrics

Two of the primary issues with characterizing the variability of raw materials used in mammalian cell culture, such as wheat hydrolysate, is that the analyses of these materials can be time consuming, and the results of the analyses are not straightforward to interpret. To solve these issues, spectroscopy can be combined with chemometrics to provide a quick, robust and easy to understand methodology for the characterization of raw materials; which will improve cell culture performance by providing an assessment of the impact that a given raw material will have on final product quality. In this study, four spectroscopic technologies: near infrared spectroscopy, middle infrared spectroscopy, Raman spectroscopy, and fluorescence spectroscopy were used in conjunction with principal component analysis to characterize the variability of wheat hydrolysates, and to provide evidence that the classification of good and bad lots of raw material is possible. Then, the same spectroscopic platforms are combined with partial least squares regressions to quantitatively predict two cell culture critical quality attributes (CQA): integrated viable cell density and IgG titer. The results showed that near infrared (NIR) spectroscopy and fluorescence spectroscopy are capable of characterizing the wheat hydrolysate's chemical structure, with NIR performing slightly better; and that they can be used to estimate the raw materials’ impact on the CQAs. These results were justified by demonstrating that of all the components present in the wheat hydrolysates, six amino acids: arginine, glycine, phenylalanine, tyrosine, isoleucine and threonine; and five trace elements: copper, phosphorus, molybdenum, arsenic and aluminum, had a large, statistically significant effect on the CQAs, and that NIR and fluorescence spectroscopy performed the best for characterizing the important amino acids. It was also found that the trace elements of interest were not characterized well by any of the spectral technologies used; however, the trace elements were also shown to have a less significant effect on the CQAs than the amino acids. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers, 33:1127–1138, 2017     

Data fusion-based assessment of raw materials in mammalian cell culture

In mammalian cell culture producing therapeutic proteins, one of the important challenges is the use of several complex raw materials whose compositional variability is relatively high and their influences on cell culture is poorly understood. Under these circumstances, application of spectroscopic techniques combined with chemometrics can provide fast, simple, and non‐destructive ways to evaluate raw material quality, leading to more consistent cell culture performance. In this study, a comprehensive data fusion strategy of combining multiple spectroscopic techniques is investigated for the prediction of raw material quality in mammalian cell culture. To achieve this purpose, four different spectroscopic techniques of near‐infrared, Raman, 2D fluorescence, and X‐ray fluorescence spectra were employed for comprehensive characterization of soy hydrolysates which are commonly used as supplements in culture media. First, the different spectra were compared separately in terms of their prediction capability. Then, ensemble partial least squares (EPLS) was further employed by combining all of these spectral datasets in order to produce a more accurate estimation of raw material properties, and compared with other data fusion techniques. The results showed that data fusion models based on EPLS always exhibit best prediction accuracy among all the models including individual spectroscopic methods, demonstrating the synergetic effects of data fusion in characterizing the raw material quality. Biotechnol. Bioeng. 2012; 109: 2819–2828. © 2012 Wiley Periodicals, Inc.     

The analysis of merino wool cuticle and cortical cells by Fourier transform Raman spectroscopy

Wool fibers are comprised of proteins known as α-keratins and have a complex morphological structure. The major components of this structure, the cuticle and cortical cells, differ in the conformations of their peptide chains as well as their amino acid compositions. High quality Fourier transform Raman spectra of cortical and cuticle cells isolated from fine Merino wool fibers have been obtained. Raman spectroscopy has been shown to be sensitive to the differences in both secondary structure and amino acid composition. The cortical cells were found to be higher in α-helical content as compared to the cuticle cells, which had an increased disordered content. Specific information, consistent with amino acid analysis results, regarding cystine, tyrosine, tryptophan, and phenylalanine residues, were obtained for both the cortical and cuticle cells. In addition, the Raman spectra provided information about free thiol groups, amino acids residues with amide group side chains, and residues with protonated carboxyl group side chains. Middle ir transmission spectra of these isolated cells were also obtained. In comparison to the Raman data, the middle ir spectra were found to be not as rich in information. © 1997 John Wiley & Sons, Inc. Biopoly 42: 7–17, 1997     

Effect of an induced conformational change on the physical properties of two chemotactic receptor molecules.

The physical properties and conformational dynamics of the Salmonella typhimurium ribose and galactose receptors have been examined. Studies involving circular dichroism, fluorescence, absorption spectroscopy, and sedimentation analysis show that the two receptor proteins have different morphologies and exhibit diverse responses to sugar binding. The ribose receptor lacks both tryptophan and disulfide residues, and the galactose receptor lacks disulfides and has only a single tryptophan residue. By virtue of these fortuitous properties, the conformational changes induced in these proteins by sugar binding can be dissected by utilizing a variety of physical probes. A ligand-induced conformational change in the ribose receptor is shown by circular dichroism and fluorescence spectroscopy, which reveal spectral changes assignable to tyrosine, phenylalanine, and methionine residues. A conformational change in the galactose receptor has been demonstrated by fluorescence spectroscopy involving the distant reporter group method, which shows changes assignable to tryptophan and methionine sites and which is corroborated by sedimentation analysis. It is clear that there are extensive conformational changes in the two receptor proteins and that the different physical methods provide complementary information on the nature of these changes.     

Electrochemical behaviour of proteins at graphite electrodes. II. Electrooxidation of amino acids

Electrochemical oxidation of L,alpha-amino acids at a paraffin-wax impregnated spectroscopic graphite electrode (WISGE) was studied by means of linear sweep, cyclic, phase-sensitive alternating current and differential pulse voltammetric techniques. It was found that out of the amino acids usually occurring in proteins only tyrosine, tryptophan, histidine, cystine, cysteine and methionine were oxidized at the WISGE. At relatively low concentrations of amino acids (up to ca. 2 x 10(-4) M) the electrode process in which the amino acids are oxidized at the WISGE has the characteristics of an irreversible reaction controlled by diffusion. Coulometric measurements showed that oxidation of tyrosine and tryptophan at the WISGE, i.e. of amino acids which are responsible for the oxidizability of proteins at graphite electrodes, is a two-electron process. At higher concentrations of tyrosine-and tryptophan (above ca. 2 x 10(-4) M) adsorption of the oxidation product of these amino adds was demonstrated.     

Evidence for two aromatic amino acid-binding sites, one ATP-dependent and the other ATP-independent, in the Escherichia coli regulatory protein TyrR

In Escherichia coli , genetic regulation of aromatic amino acid biosynthesis and uptake is effected by the protein TyrR, which acts via ligand-mediated repression and activation. Characterization of the interactions of tyrosine, phenylalanine and tryptophan with TyrR revealed the presence of two separate aromatic amino acid-binding sites, one ATP-dependent, the other ATP-independent. Binding to the ATP-dependent site induces the self-association of TyrR. Using sedimentation equilibrium analyses, dissociation constants for this site in the dimeric and hexameric forms of TyrR were determined to be 330 μM and 24 μM, respectively, for tyrosine, and 55 mM and 3.7 mM, respectively, for phenylalanine. Tryptophan bound with a strength similar to that of phenylalanine, and both phenylalanine and tryptophan competed with the binding of tyrosine. The ATP-independent site, which has not been observed previously, was characterized by ultraviolet (u.v.) difference spectroscopy and a sedimentation-velocity meniscus-depletion method. Phenylalanine bound co-operatively to this site, exhibiting half-saturation at 260 µM. Tryptophan competed weakly with phenylalanine, half-saturation occurring at 1.2 mM. No binding of tyrosine to this site could be detected. We propose that the binding of phenylalanine or tryptophan to this ATP-independent site is responsible for phenylalanine- and tryptophan-mediated regulation by TyrR.     

The secondary structure of nucleotidyl-(5' bound to N)-amino acids containing different heterocyclic bases and amino acids]

Nucleotidyl-(5' leads to N)-amino acids containing different heterocycle bases: adenine, guanine, hypoxanthine, cytosine, uracyl, and aromatic amino acids: phenylalanine, tyrosine and tryptophan, have been investigated by proton magnetic resonance and circular dichroism. For all the compounds studied folded conformation have been shown stabilized by hydrophobic interaction in aqueous solution. The comparison of the results of the studied nucleotidyl-(5' leads to N)-amino acids unable us to build four secondary structure types in these very compounds. Phenylalanine and tyrosine derivatives of purine nucleotides can be regarded as the first type, tryptophan derivatives of purine nucleotides as the second type, phenylalanine and tyrosine derivatives of pyrimidine nucleotides as the third type and tryptophan derivatives of pyrimidine nucleotides as the fourth type. For each group of these compounds conformational models have been built. In all these compounds the anti-conformation has been proved to exist.     

Chemometric prediction of alginate monomer composition: A comparative spectroscopic study using IR, Raman, NIR and NMR

The potential of using infrared (IR), Raman and near infrared (NIR) spectroscopy combined with chemometrics for reliable and rapid determination of the ratio of mannuronic and guluronic acid (M/G ratio) in commercial sodium alginate powders has been investigated. The reference method for quantification of the M/G ratio was solution-state ¹H nuclear magnetic resonance (NMR) spectroscopy. For a set of 100 commercial alginate powders with a M/G ratio range of 0.5–2.1 quantitative calibrations using partial least squares regression (PLSR) were developed and compared for the three spectroscopic methods. All three spectroscopic methods yielded models with prediction errors (RMSEP) of 0.08 and correlation coefficients between 0.96 and 0.97. However, the model based on extended inverted signal corrected (EISC) Raman spectra stood out by only using one PLS component for the prediction. The results are comparable to that of the experimental error of the reference method estimated to be between 0.01 and 0.08.     

Effect of aromatic acids on protein synthesis in subcellular preparations from the rat brain.

The incorporation of [3H]phenylalanine, [3H]tyrosine, and [3H]tryptophan into protein and amino acyl-tRNA was studied in cell-free preparations from rat brain. Tyrosine and tryptophan inhibited the incorporation of phenylalanine into protein, and tyrosine inhibited the incorporation of phenylalanine and tryptophan into amino acyl-tRNAs. In most cases, homogentisate, phenylpyruvate, and phenyllactate inhibited the incorporation of phenylalanine, tyrosine, and tryptophan into protein and amino acyl-tRNAs, and the incorporation of phenylalanine into polyphenylalanine. All other protein amino acids, and phenylacetate, salicylate, and benzoate were wholly ineffectual. The results suggest that the formation of amino acyl-tRNAs may have been the step which was affected most by the inhibitors. The incorporation data at different concentrations of the aromatic amino acids were fitted to the simple Michaelis equation. Homogentisate and phenylpyruvate generally tended to reduce both Km and V in the incorporation of aromatic amino acids into protein and amino acyl-tRNAs, even if V decreased more than Km.     

Mechanisms and specificity of amino acid transport in Taenia crassiceps larvae (Cestoda)

The absorption of lysine, arginine, phenylalanine and methionine by Taenia crassiceps larvae is linear with respect to time for at least 2 min. Arginine uptake occurs by a mediated system and diffusion, and arginine, lysine and ornithine (in order of decreasing affinity) are completely competitive inhibitors of arginine uptake. The basic amino acid transport system has a higher affinity for l-amino acids than d-amino acids, and blocking the α-amino group of an amino acid destroys its inhibitory action. Phenylalanine uptake by T. crassiceps larvae is inhibited in a completely competitive fashion by serine, leucine, alanine, methionine, histidine, phenylalanine, tyrosine and tryptophan (in order of increasing affinity). Methionine apparently binds non-productively to the phenylalanine (aromatic amino acid-preferring) transport system. l-methionine uptake by larvae is inhibited more by d-alanine and d-valine than by their respective l-isomers, while d- and l-methionine inhibit l-methionine uptake equally well. The presence of an unsubstituted α-amino group is essential for an inhibitor to have a high affinity for the methionine transport system. Uptake of arginine, phenylalanine and methionine is Na⁺-insensitive, and both phenylalanine and methionine are accumulated by larvae against a concentration difference in the presence or absence of Na⁺. Arginine accumulation is precluded by its rapid metabolism to proline, ornithine and an unidentified compound.     

Estimation of raw material performance in mammalian cell culture using near infrared spectra combined with chemometrics approaches

Understanding variability in raw materials and their impacts on product quality is of critical importance in the biopharmaceutical manufacturing processes. For this purpose, several spectroscopic techniques have been studied for raw material characterization, providing fast and nondestructive ways to measure quality of raw materials. However, investigations of correlation between spectra of raw materials and cell culture performance have been scarce due to their complexity and uncertainty. In this study, near-infrared spectra and bioassays of multiple soy hydrolysate lots manufactured by different vendors were analyzed using chemometrics approaches in order to address variability of raw materials as well as correlation between raw material properties and corresponding cell culture performance. Principal component analysis revealed that near-infrared spectra of different soy lots contain enough physicochemical information about soy hydrolysates to allow identification of lot-to-lot variability as well as vendor-to-vendor differences. The identified compositional variability was further analyzed in order to estimate cell growth and protein production of two mammalian cell lines under the condition of varying soy dosages using partial least square regression combined with optimal variable selection. The performance of the resulting models demonstrates the potential of near-infrared spectroscopy as a robust lot selection tool for raw materials while providing a biological link between chemical composition of raw materials and cell culture performance.     

Selection and characterization of a carrot cell line tolerant to glyphosate

Cultured carrot (Daucus carota L.) cells were adapted to growing in 25 millimolar glyphosate by transfer into progressively higher concentrations of the herbicide. Tolerance was increased 52-fold, and the adaptation was stable in the absence of glyphosate. The uptake of glyphosate was similar for adapted and nonadapted cells. Activity of the enzyme 5-enolpyruvylshikimic acid-3-phosphate synthase was 12-fold higher in the adapted line compared to nonadapted cells, while activities of shikimate dehydrogenase and anthranilate synthase were similar in the two cell types. The adapted cells had higher levels of free amino acids—especially threonine, methionine, tyrosine, phenylalanine, tryptophan, histidine, and arginine—than did nonadapted cells. Glyphosate treatment caused decreases of 50 to 65% in the levels of serine, glycine, methionine, tyrosine, phenylalanine, and tryptophan in nonadapted cells, but caused little change in free amino acid levels in adapted cells.

The adaptation reported here supports the growing body of evidence linking tolerance to glyphosate with increased levels of the enzyme 5-enolpyruvylshikimic acid-3-phosphate synthase. The elevated levels of aromatic amino acids, which may confer resistance in adapted cells, suggest that control of the shikimate pathway may be altered in these cells.

     

The structure of human acidic fibroblast growth factor and its interaction with heparin.

The secondary and tertiary structure of recombinant human acidic fibroblast growth factor (aFGF) has been characterized by a variety of spectroscopic methods. Native aFGF consists of ca. 55% beta-sheet, 20% turn, 10% alpha-helix, and 15% disordered polypeptide as determined by laser Raman, circular dichroism, and Fourier transform infrared spectroscopy; the experimentally determined secondary structure content is in agreement with that calculated by the semi-empirical methods of Chou and Fasman (Chou, P. Y., and Fasman, G. C., 1974, Biochemistry 13, 222-244) and Garnier et al. (Garnier, J. O., et al., 1978, J. Mol. Biol. 120, 97-120). Using the Garnier et al. algorithm, the major secondary structure components of aFGF have been assigned to specific regions of the polypeptide chain. The fluorescence spectrum of native aFGF is unusual in that it is dominated by tyrosine fluorescence despite the presence of a tryptophan residue in the protein. However, tryptophan fluorescence is resolved upon excitation above 295 nm. The degree of tyrosine and tryptophan solvent exposure has been assessed by a combination of ultraviolet absorption, laser Raman, and fluorescence spectroscopy; the results suggest that seven of the eight tyrosine residues are solvent exposed while the single tryptophan is partially inaccessible to solvent in native aFGF, consistent with recent crystallographic data. Denaturation of aFGF by extremes of temperature or pH leads to spectroscopically distinct conformational states in which contributions of tyrosine and tryptophan to the fluorescence spectrum of the protein vary. The protein is unstable at physiological temperatures. Addition of heparin or other sulfated polysaccharides does not affect the spectroscopic characteristics of native aFGF. These polymers do, however, dramatically stabilize the native protein against thermal and acid denaturation as determined by differential scanning calorimetry, circular dichroism, and fluorescence spectroscopy. The interaction of aFGF with such polyanions may play a role in controlling the activity of this growth factor in vivo.     

Regulation of chemoautotrophic metabolism

Summary Incorporation of ¹⁴C-phenylalanine by T. neapolitanus was inhibited competitively by relatively low concentrations of glycine, serine, alanine, valine, leucine, isoleucine, tryptophan, tyrosine, histidine, threonine, and methionine (Group I amino acids), but not greatly depressed by aspartate, glutamate, lysine, arginine, cysteine (Group II amino acids) and proline at similar concentrations. Group I acids competed with each other for incorporation but were little affected by Group II acids. Similarly Group I acids little depressed the incorporation of Group II acids, among which, however, some mutual inhibition occurred. Incorporation of proline was depressed by both Group I and II acids. Two main permeation mechanisms are proposed, one transporting Group I acids, the other Group II acids, but some overlapping of function probably occurs. Proline may be transported by a third permease, which is subject to inhibition by both Group I and II acids. T. concretivorus also has a common transport mechanism for some amino acids. Less interaction between amino acids was found using two heterotrophic pseudomonads.Exogenous phenylalanine inhibited both the biosynthesis and the uptake of tyrosine and tryptophan by T. neapolitanus. High phenylalanine concentrations depressed the assimilation of ¹⁴C-labelled tyrosine and tryptophan less than low ones, suggesting that the bacteria developed a requirement for external tyrosine and tryptophan when exposed to highly inhibitory concentrations of phenylalanine.     

Automatic real-time calibration,assessment, and maintenance of generic Raman models for online monitoring of cell culture processes

Raman spectroscopy is a multipurpose analytical technology that has found great utility in real-time monitoring and control of critical performance parameters of cell culture processes. As a process analytical technology (PAT) tool, the performance of Raman spectroscopy relies on chemometric models that correlate Raman signals to the parameters of interest. The current calibration techniques yield highly specific models that are reliable only on the operating conditions they are calibrated in. Furthermore, once models are calibrated, it is typical for the model performance to degrade over time due to various recipe changes, raw material variability, and process drifts. Maintaining the performance of industrial Raman models is further complicated due to the lack of a systematic approach to assessing the performance of Raman models. In this article, we propose a real-time just-in-time learning (RT-JITL) framework for automatic calibration, assessment, and maintenance of industrial Raman models. Unlike traditional models, RT-JITL calibrates generic models that can be reliably deployed in cell culture experiments involving different modalities, cell lines, media compositions, and operating conditions. RT-JITL is a first fully integrated and fully autonomous platform offering a self-learning approach for calibrating and maintaining industrial Raman models. The efficacy of RT-JITL is demonstrated on experimental studies involving real-time predictions of various cell culture performance parameters, such as metabolite concentrations, viability, and viable cell density. RT-JITL framework introduces a paradigm shift in the way industrial Raman models are calibrated, assessed, and maintained, which to the best of authors' knowledge, have not been done before.     

A machine-learning approach to calibrate generic Raman models for real-time monitoring of cell culture processes

The manufacture of biotherapeutic proteins consists of complex upstream unit operations requiring multiple raw materials, analytical techniques, and control strategies to produce safe and consistent products for patients. Raman spectroscopy is a ubiquitous multipurpose analytical technique in biopharmaceutical manufacturing for real-time predictions of critical parameters in cell culture processes. The accuracy of Raman spectroscopy relies on chemometric models that need to be carefully calibrated. The existing calibration procedure is nontrivial to implement as it necessitates executing multiple carefully designed experiments for generating relevant calibration sets. Further, existing procedure yields calibration models that are reliable only in operating conditions they were calibrated in. This creates a unique challenge in clinical manufacturing where products have limited production history. In this paper, a novel machine-learning procedure based on just-in-time learning (JITL) is proposed to calibrate Raman models. Unlike traditional techniques, JITL-based generic Raman models can be reliably used for different modalities, cell lines, culture media, and operating conditions. The accuracy of JITL-based generic models is demonstrated on several validation studies involving real-time predictions of critical cell culture performance parameters, such as glucose, glutamate, glutamine, ammonium, lactate, sodium, calcium, viability, and viable cell density. The proposed JITL framework introduces a paradigm shift in the way industrial Raman models are calibrated, which to the best of authors’ knowledge have not been done before.     

Tripping up Trp: Modification of protein tryptophan residues by reactive oxygen species,modes of detection,and biological consequences

Proteins comprise a majority of the dry weight of a cell, rendering them a major target for oxidative modification. Oxidation of proteins can result in significant alterations in protein molecular mass such as breakage of the polypeptide backbone and/or polymerization of monomers into dimers, multimers, and sometimes insoluble aggregates. Protein oxidation can also result in structural changes to amino acid residue side chains, conversions that have only a modest effect on protein size but can have widespread consequences for protein function. There are a wide range of rate constants for amino acid reactivity, with cysteine, methionine, tyrosine, phenylalanine, and tryptophan having the highest rate constants with commonly encountered biological oxidants. Free tryptophan and tryptophan protein residues react at a diffusion-limited rate with hydroxyl radical and also have high rate constants for reactions with singlet oxygen and ozone. Although oxidation of proteins in general and tryptophan residues specifically can have effects detrimental to the health of cells and organisms, some modifications are neutral, whereas others contribute to the function of the protein in question or may act as a signal that damaged proteins need to be replaced. This review provides a brief overview of the chemical mechanisms by which tryptophan residues become oxidized, presents both the strengths and the weaknesses of some of the techniques used to detect these oxidative interactions, and discusses selected examples of the biological consequences of tryptophan oxidation in proteins from animals, plants, and microbes.     

Gamma-radiation-induced interactions between amino acids and glucagon

The interaction of glucagon and phenylalanine mediated by the OH . radical causes formation of higher molecular weight products of glucagon and phenylalanine, loss of amino acid residues in glucagon, and formation of adducts of glucagon and phenylalanine. The relative yields of these products depend upon the molar ratio of phenylalanine to glucagon in solution. At low ratios, glucagon aggregation and loss of amino acid residues predominate; at high ratios, the formation of phenylalanine dimers (and possible trimers and tetramers) predominates. The formation of adducts reaches a maximum at a phenylalanine:glucagon molar ratio of 3-4, and then decreases gradually, as the molar ratio increases, but is still discernible even at high molar ratios. Mechanisms for the formation of adducts are suggested. The influence of the primary aqueous radical intermediates, OH., H., and e-aq, on adduct formation has been evaluated for several different amino acids by irradiating in the presence of specific radical scavengers. For the aromatic amino acids (phenylalanine, tryptophan, and tyrosine), OH. is considerably more effective than e-aq for mediating adduct formation, whereas for histidine and methionine, these primary radicals are equally effective.