Quantitation and identification of proteins by amino acid analysis: ABRF-96AAA collaborative trial

Bioprocess monitoring: minimizing sample matrix effects for total protein quantification with bicinchoninic acid assay

Determining total protein content is a routine operation in many laboratories. Despite substantial work on assay optimization interferences, the widely used bicinchoninic acid (BCA) assay remains widely recognized for its robustness. Especially in the field of bioprocess engineering the inaccuracy caused by interfering substances remains hardly predictable and not well understood. Since the introduction of the assay, sample pre-treatment by trichloroacetic acid (TCA) precipitation has been indicated as necessary and sufficient to minimize interferences. However, the sample matrix in cultivation media is not only highly complex but also dynamically changing over process time in terms of qualitative and quantitative composition. A significant misestimation of the total protein concentration of bioprocess samples is often observed when following standard work-up schemes such as TCA precipitation, indicating that this step alone is not an adequate means to avoid measurement bias. Here, we propose a modification of the BCA assay, which is less influenced by sample complexity. The dynamically changing sample matrix composition of bioprocessing samples impairs the conventional approach of compensating for interfering substances via a static offset. Hence, we evaluated the use of a correction factor based on an internal spike measurement for the respective samples. Using protein spikes, the accuracy of the BCA protein quantification could be improved fivefold, taking the BCA protein quantification to a level of accuracy comparable to other, more expensive methods. This will allow reducing expensive iterations in bioprocess development to due inaccurate total protein analytics.

Evaluation of a novel food composition database that includes glutamine and other amino acids derived from gene sequencing data

OBJECTIVES

To determine the content of glutamine in major food proteins.

SUBJECTS/METHODS

We used a validated 131-food item food frequency questionnaire (FFQ) to identify the foods that contributed the most to protein intake among 70,356 women in the Nurses' Health Study (NHS, 1984). The content of glutamine and other amino acids in foods was calculated based on protein fractions generated from gene sequencing methods (Swiss Institute of Bioinformatics) and compared with data from conventional (USDA) and modified biochemical (Khun) methods. Pearson correlation coefficients were used to compare the participants' dietary intakes of amino acids by sequencing and USDA methods.

RESULTS

The glutamine content varied from 0.01 to to 9.49 g/100 g of food and contributed from 1 to to 33% of total protein for all FFQ foods with protein. When comparing the sequencing and Kuhn's methods, the proportion of glutamine in meat was 4.8 vs 4.4%. Among NHS participants, mean glutamine intake was 6.84 (s.d.=2.19) g/day and correlation coefficients for amino acid between intakes assessed by sequencing and USDA methods ranged from 0.94 to 0.99 for absolute intake, -0.08 to 0.90 after adjusting for 100 g of protein, and 0.88 to 0.99 after adjusting for 1000 kcal. The between-person coefficient of variation of energy-adjusted intake of glutamine was 16%.

CONCLUSIONS

These data suggest that (1) glutamine content can be estimated from gene sequencing methods and (2) there is a reasonably wide variation in energy-adjusted glutamine intake, allowing for exploration of glutamine consumption and disease.

Binding mechanism of an SH3 domain studied by NMR and ITC

Complexes between Src-homology 3 domains and proline-rich target peptides can have lifetimes on the order of milliseconds, making them too short-lived for kinetic characterization by conventional methods. Nuclear magnetic resonance (NMR) dynamics experiments are ideally suited to study such rapid binding equilibria, and additionally provide information on partly bound intermediate states. We used NMR together with isothermal titration calorimetry (ITC) to characterize the interaction of the SH3 domain from the Fyn tyrosine kinase with a 12-residue peptide at temperatures between 10 and 50 degrees C. NMR data at all temperatures are consistent with an effectively two-state binding reaction, such that any intermediates are either very weakly populated or exchange extremely rapidly with the free or bound forms. Dissociation rate constants, determined by CPMG and ZZ-exchange NMR experiments, range from k(off)(10 degrees C) = 4.5 s(-1) to k(off)(50 degrees C) = 331 s(-1). ITC data at all temperatures follow a simple two-state interaction model. Binding is favored enthalpically, with a dissociation enthalpy, DeltaH(D)(30 degrees C) = 15.4 kcal mol(-1), and disfavored entropically, with a dissociation entropy, DeltaS(D)(30 degrees C) = 20.0 cal mol(-1) K(-1). The free protein and peptide have significantly higher heat capacity than the bound complex, DeltaC(p) = 352 cal mol(-1) K(-1), which is consistent with the largely hydrophobic character of the binding interface. An Eyring plot of k(off) values gives an activation enthalpy of dissociation, DeltaH(D)(double dagger)(30 degrees C) = 19.3 kcal mol(-1) and exhibits slight curvature consistent with the ITC-derived value of DeltaC(p). The curvature suggests that nonpolar residues of the hydrophobic interface are solvated in the transition state for dissociation. Association rate constants were calculated as k(on) = k(off)/K(D), and range from k(on)(10 degrees C) = 1.03 x 10(8) M(-1) s(-1) to k(on)(50 degrees C) = 2.0 x 10(8) M(-1) s(-1), with an apparent activation enthalpy, DeltaH(A)(double dagger) = 3.4 kcal mol(-1). Both the magnitudes and temperature dependence of k(on) values are consistent with a diffusion-limited association mechanism. The combination of NMR and ITC data sheds light on how the Fyn tyrosine kinase is activated by binding to proline-rich targets, and represents a powerful approach for characterizing transient protein/ligand interactions.

Analysis of underivatized amino acids and their D/L-enantiomers by sheathless capillary electrophoresis/electrospray ionization mass spectrometry

Capillary electrophoresis/electrospray ionization-mass spectrometry (CE/ESI-MS) was applied to the analysis of underivatized amino acids and the separation of their D/L-enantiomers. Under full-scan mode, all standard protein amino acids were separated and detected at low-femtomole levels using a 130-cm-long, 20-microm-i.d., 150-microm-o.d. underivatized fused-silica capillary with 1 M formic acid as the background electrolyte. The CE/ESI-MS technique was also applied to the separation of L-arginine from L-canavanine (a close analogue of arginine where the terminal methylene linked to the guanidine group of arginine is replaced by an oxygen atom) in a complex mixture containing all standard protein amino acids. The utility of CE/ESI-MS in the analysis of real-world samples was demonstrated by the identification of two metabolic diseases (PKU and tyrosinemia) through blood analysis with minimal sample preparation. In addition, the on-line separation of 11 underivatized L-amino acids from their D-enantiomers was achieved by using a 30 mM solution of (+)-(18-crown-6)-2,3,11,12-tetracarboxylic acid as the background electrolyte.

Hydrolysis and amino acid composition of proteins

Amino acid composition analysis is a classical protein analysis method, which finds a wide application in medical and food science research and is indispensable for protein quantification. It is a complex technique, comprising two steps, hydrolysis of the substrate and chromatographic separation and detection of the residues. A properly performed hydrolysis is a prerequisite of a successful analysis. The most significant developments of the technology in the last decade consist in the (i) reduction of the hydrolysis time by the use of microwave radiation energy; (ii) improvement in the sensitivity of the residue detection, the quantification of the sensitive residues and separation of the enantiomeric forms of the amino acids; (iii) application of amino acid analysis in the large-scale protein identification by database search; and (iv) gradual replacement of the original ion exchange residue separation by reversed-phase high-performance liquid chromatography. Amino acid analysis is currently facing an enormous competition in the determination of the identity of proteins and amino acid homologs by the essentially faster mass spectrometry techniques. The amino acid analysis technology needs further simplification and automation of the hydrolysis, chromatography and detection steps to withstand the pressure exerted by the other technologies.