In this study, a precise and reliable ultra-high performance liquid chromatography (UHPLC) method for the simultaneous determination of non-canonical (norvaline and norleucine) and standard amino acids (aspartic acid, glutamic acid, serine, histidine, glycine, threonine, arginine, tyrosine, methionine, valine, phenylalanine, isoleucine, leucine) in biopharmaceutical-related fermentation processes was established. After pre-column derivatization with ortho-phthaldialdehyde and 2-mercaptoethanol, the derivatives were separated on a sub-2 μm particle C18 reverse-phase column. Identification and quantification of amino acids were carried out by fluorescence detection. To test method feasibility on standard HPLC instruments, the assay was properly transferred to a core–shell particle C18 reverse-phase column. The limits of detection showed excellent sensitivity by values from 0.06 to 0.17 pmol per injection and limits of quantification between 0.19 and 0.89 pmol. In the present study, the newly established UHPLC method was applied to a recombinant antibody Escherichia coli fermentation process for the analysis of total free amino acids. We were able to specifically detect and quantify the unfavorable amino acids in such complex samples. Since we observed trace amounts of norvaline and norleucine during all fermentation phases, an obligatory process monitoring should be considered to improve quality of recombinant protein drugs in future.
Apart from the 20 standard amino acids, several non-canonical amino acids can be found in organisms. The amino acids norvaline and norleucine belong to a group of natural branched amino acid analogs synthesized by the biotechnological relevant bacterium Escherichia coli (E. coli) and other gram-negative species (Kisumi et al. 1976; Sugiura et al. 1981). Initially norvaline was described as a natural component of an antifungal peptide produced in Bacillus subtilis (Nandi and Sen 1953), while norleucine was found to be formed in leucine regulatory mutant variants of Serratia marcescens (Kisumi et al. 1976).
The biosynthesis of norleucine and norvaline by E. coli as byproducts of the branched chain amino acid biosynthesis occurs via the promiscuous enzymes of the (iso)-leucine pathway (Bogosian et al. 1989; Sycheva et al. 2007; Soini et al. 2008). Due to their broad range of keto acid substrate acceptance, the leuABCD-operon enzymes are proposed to facilitate a direct carbon chain elongation from the central intermediate pyruvate to the branched chain amino acid precursor 2-ketobutyrate which is synthesized from threonine under standard conditions. The following extension reactions of 2-ketobutyrate are catalyzed by the leucine biosynthesis enzymes isopropylmalate synthase (IPMS, leuA gene), isopropylmalate isomerase (IPMI, leuCD genes) and isopropylmalate dehydrogenase (IPMD, leuB gene). Enzymatic specificity of IPMS has not been investigated in E. coli yet but is known for a variety of substrates of the highly conserved homolog protein in Salmonella typhimurium (Kohlhaw et al. 1969) which can utilize, e.g., 2-ketobutyrate and pyruvate, for condensation with acetyl-CoA. Subsequent conversion of the intermediate compounds by IPMI and IPMD via this keto acid elongation pathway forms 2-ketovalerate and 2-ketocaproate. The last step in norleucine and norvaline biosynthesis consists of the transamination of 2-ketocaproate and 2-ketovalerate by aminotransferases IlvE, TyrA and AvtA.
The specific physiological conditions leading to formation of these modified amino acids in E. coli are not fully understood but experimental data suggest a strong connection to glucose overflow metabolism and pyruvate accumulation in fermentation processes (Soini et al. 2008). An additional proof for this hypothesis might be seen in the presence of norleucine and norvaline accumulation in E. coli knock-out mutants of the ilvA gene, which is responsible for 2-ketobutyrate synthesis from threonine (Sycheva et al. 2007).
Recently non-canonical amino acids have gained substantial interest when found incorporated into protein-based biopharmaceuticals produced by recombinant E. coli fermentation processes. Some examples of these unwanted misincorporations are the findings of norleucine in recombinant interleukin 2 (Lu et al. 1988; Tsai et al. 1988) and human brain derived factor (Sunasara et al. 1999) or norvaline in recombinant hemoglobin (Apostol et al. 1997). The incorporation of norleucine and norvaline occurs via misaminoacylation of the cognate tRNA during translation. Norleucine is known to be an isostructural analog of methionine, while norvaline is known to be an analog of leucine (Budisa et al. 1995). They can be mischarged to tRNAmet and tRNAleu by aminoacyl-tRNA synthetases resulting in substitutions within the synthesized protein (Lu et al. 1988; Apostol et al. 1997; Reynolds et al. 2010). To insure the final quality of recombinant drugs, every modification of the active protein drug needs intensive analytical characterization according to the standards of regulatory authorities such as the US Food and Drug Administration and European Medicines Agency (Berkowitz et al. 2012; Ahmed et al. 2012). For this reason, early detection of non-canonical amino acids during process development in biopharmaceutical industry is required.
There is no universal technique for the detection and quantification of the mentioned amino acids in biological samples. The most common approaches for amino acid analysis include: liquid chromatography separation coupled with optical detection (Le Boucher et al. 1997; Joseph and Davies 1983; Fekkes 1996; Molnár-Perl 2005; Pappa-Louisi et al. 2007; Ilisz et al. 2012) and mass spectrometry-based detection methods coupled to prior separation by liquid or gas chromatography (Husek et al. 2008; Waterval et al. 2009; Armenta et al. 2010; Dettmer et al. 2012). However, these methods suffer from the limited number of covered amino acids, lack of separation due to slow mass transfer kinetics, ion suppression or expensive equipment (Kaspar et al. 2009).
In recent years, the ultra-high performance liquid chromatography (UHPLC) builds a new class of liquid chromatography with increased separation, sensitivity and speed (Wu and Clausen 2007; Fekete et al. 2012) of amino acid analysis. Either by the application of sub-2 μm material or core–shell particles, this approach achieves higher plate counts and column efficiency in comparison to conventional column materials (Guiochon and Gritti 2011; Gritti and Guiochon 2012).
In this study, a precise UHPLC method using a sub-2 μm C18 particle column was established for the simultaneous analysis of the non-canonical amino acids norleucine, norvaline and their corresponding isostructural compounds. Further method development implementing core–shell particle C18 material was carried out in order to allow the ultra-high performance assay on standard HPLC instrumentation. Both methods were also evaluated for crucial validation parameters. Capitalizing on the advantages of the core–shell method, application in recombinant antibody production was proved to be feasible. To our knowledge, this is the first report on OPA derivatization based simultaneous analysis of norleucine and norvaline by state of the art core–shell technique.
Materials and methods
Norleucine, norvaline, and Fluka A2161 amino acid reference solution for fluorescence detection, OPA and 2-mercaptoethanol were purchased from Sigma-Aldrich (Taufkirchen, Germany).
Hydrochloric acid, sodium hydroxide, di-sodium hydrogen phosphate, sodium dihydrogen phosphate dihydrate, methanol and tetrahydrofuran were from Merck (Darmstadt, Germany). Acetonitrile was purchased from VWR (Darmstadt, Germany). All chemicals were at highest available analysis grade. Water was purified by Milli-Q water purification system (Millipore, Bredford, USA).
A JASCO X-LC HPLC system (JASCO Corporation, Japan), containing two pumps, autosampler, intelligent column thermostat and fluorescence detector was used. For instrument control, data acquisition and analysis, JASCO Chrompass software was employed. Chromatographic separations were realized with Nucleodur C18 Gravity column (150 × 2.0 mm, 1.8 μm particle size), Macherey-Nagel, Düren, Germany) with column inlet filter Rheodyne (0.5 μm pore size, 3.0 mm I.D., Macherey-Nagel, Düren, Germany) and Sunshell C18 column (150 × 2.0 I.D. mm, 2.6 μm, dichrom, Marl, Germany).
Chromatographic separation and quantification
In a reaction vial with conical insert, 30 μL OPA was added to 30 μL sample and mixed by autosampler unit. After 30 s reaction time, 1 μL of the solution was injected onto column. Mobile phase A was aqueous buffer (25 mM Na2HPO4/NaH2PO4, pH 7.2)/tetrahydrofuran (95:5, v/v) and mobile phase B was aqueous buffer (25 mM Na2HPO4/NaH2PO4, pH 7.2)/methanol/acetonitrile (50:35:15, v/v/v). The elution was facilitated by gradient program as follows: 0–0.6 min 10 % B, 0.6–9.0 min 50 % B, 9.0–48 min 60 % B, 48.0–51.0 min 100 % B, 51.0–56.0 min 100 % B, 56.0–57.0 min 10 % B, 57.0–59.9 min 10 % B. Temperature of the column oven was kept at 40 °C. The constant flow rate was 0.3 mL/min. Fluorescence detection and quantification was carried out by excitation wavelength 345 nm and emission wavelength 455 nm. The identification of sample peaks was realized by comparison of retention time with reference substances.
Fermentation conditions and preparation of recombinant E. coli samples
Fermentation samples were obtained from cultivations of E. coli RV308 carrying plasmid p41-B10aP for VHH antibody fragment as described earlier (Horn et al. 1996; Habicht et al. 2007). Fermentation samples were prepared by quenching of fermentation broth containing medium and cells with −40 °C cold 60 % methanol and subsequent shock frozen in liquid nitrogen. Until analysis samples were stored at −80 °C. For amino acid analysis, samples were diluted to same biomass concentration with 0.9 % NaCl, followed by sonification for 10 min on ice. Removal of cell debris and deproteinization were carried out by centrifugation for 10 min (4 °C, 16,000×g) and ultrafiltration of supernatant using Amicon Ultra 3 kDa cut-off filter membranes.
Results and discussion
Chromatographic separation and fluorescence detection of norleucine, norvaline and standard amino acids
Based on the known advantages in sensitivity, selectivity and simplicity, the OPA derivatization (Roth 1971; Molnár-Perl 2005; Kaspar et al. 2009) was used for fully automated pre-column derivatization of reference amino acid solutions. We initially tested the reversed-phase HPLC method described by Kroemer (2005) as it reported good separation of the canonical branched chain amino acids leucine, valine, isoleucine. Although either norleucine or norvaline is separately used as traditional internal standards in analyses, this method failed in the simultaneous separation of norvaline, norleucine and their corresponding closely eluting amino acids valine and leucine. The obtained chromatograms showed no peak separation of these highly hydrophobic and isostructural amino acids (data not shown).
As a consequence, we chose a sub-2 μm C18 particle column (Nucleodur C18 Gravity) together with a smaller inner diameter of 2.1 mm to further increase separation efficiency of the method. To circumvent the compromising effect of a decreased column diameter, the number of theoretical plates was increased by keeping the column length at a dimension of 150 mm. The existing gradient protocol was optimized for UHPLC and applied to a reference solution.
All obtained reference chromatograms showed clear baseline resolution and symmetric peak shape for the non-canonical amino acids norvaline, norleucine and their proteinogenic isostructural relatives valine, leucine, isoleucine and methionine (data not shown). Following on from that, we were aiming to overcome the limitation of sub-2 μm particles to special equipment caused by high column back pressure (Fekete et al. 2012; Song et al. 2012a, b) of about 700 bar in our case respectively. Therefore, we directly transferred chromatographic conditions to the application of a 2.6-μm core–shell C18 column (Sunshell C18) with the same dimensions (150 mm × 2.1 mm). The obtained separation data were comparable to those from the sub-2 μm particle column (Fig. 1) showing equal resolution properties.
Emphasizing the enhanced performance of the hereby newly established method, the indirect resolution of amino acid derivatives that differ in hydrophobicity by only one methyl group (e.g., methionine/norleucine) was facilitated. Furthermore, the results show resolution of isostructural amino acids in both tested column materials.
Analytical method validation
To evaluate the method, we determined the following validation parameters: linearity range, limits of detection (LOD), limits of quantification (LOQ), repeatability of retention time and intra-day precision (Table 1). The detection of OPA derivatives at 455 nm indicated linearity in the performed calibration range of 2.5–12.5 pmol (per 1 μL injection volume) with correlation coefficients of >0.99 for each analyte. LOD and LOQ were calculated as signal-to-noise ratios of 3 and 10, respectively. The resulting sensitivities (Table 1) were stated as pmol per injection, hence related to the actual on-column amounts of OPA derivatives.
The LOD for all OPA amino acids ranged from from 0.06 to 0.17 pmol per injection, LOQ were between 0.19 and 0.89 pmol. Comparing the new method to current OPA related studies (Pereira et al. 2008; Kaspar et al. 2009; Arrieta and Prats-Moya 2012) including analysis of complex biological matrices, it was possible to achieve a significant increase in sensitivity of chromatographic results. Overall sensitivity parameters of the method were also comparable to recent reports on sub-2 μm particle column (Mayer et al. 2010) and core–shell (Song et al. 2012a, b) amino acid analysis using different derivatization procedures and detection options. The obtained data show an overall improvement of detection sensitivity from μM to the nM range, which is a magnitude lower then LOD’s for OPA derivative analysis reported earlier (Wan et al. 2000).
Simultaneous analysis of non-canonical amino acids in recombinant antibody fermentation
To investigate practical utility for the determination of non-proteinogenic amino acids in biopharmaceutical relevant processes, the method was applied to recombinant antibody fermentation samples of E. coli at different time points. The chromatograms shown in Fig. 2 were obtained from E. coli fermentations producing the recombinant camelid antibody domain B10 (Habicht et al. 2007).
Trace levels of norleucine and norvaline with concentrations of 0.66 and 0.92 μM were detected (Table 2) in early phase of the fermentation (batch phase). The values for both amino acids increased during glucose-limited growth up to 4.47 μM (Nleu) and 9.42 μM (Nval). Upon induction of the recombinant model antibody for 6 h, a significant decrease of norvaline and norleucine to a concentration of 2.60 and 0.44 μM was observed. This supports the argument of incorporation of these amino acids into recombinant proteins after induction (Sunasara et al. 1999; Apostol et al. 1997). The corresponding free pools of leucine and valine increased from the point of antibody production which might be due to the amino acid depletion caused by recombinant protein production (Bogosian et al. 1989).
The data shed new light into the occurrence of non-canonical amino acids since this is the first report on physiological free Nval or Nleu during balanced growth of E. coli. Biosynthesis of these compounds was proposed to be restricted to induction of recombinant gene expression (Apostol et al. 1997) or metabolic imbalance (Soini et al. 2008). Since our new method provides a significantly improved sensitivity, it seems to be plausible. A possible reason for this finding could be the higher sensitivity of the new method.
The results further indicate that this method can be applied for the simultaneous monitoring of low level concentrations of norleucine and norvaline in complex biological samples.
The present novel approach allows the simultaneous, sensitive and precise detection and quantification of the non-canonical amino acids norleucine and norvaline. In addition, their canonical isostructural compounds leucine, isoleucine, valine, methionine and eight other proteinogenic amino acids can be efficiently resolved and quantified. By the analysis of recombinant E. coli antibody fermentation, the method was proved to be applicable to complex biological samples. No expensive instrumentation or time-consuming derivatization procedures are needed for assay performance. Taken together, this method provides a powerful tool in biopharmaceutical process analysis and further an improvement of protein based drug development.
- E. coli :
Ultra-high performance liquid chromatography
Ahmed I, Kaspar B, Sharma U (2012) Biosimilars: impact of biologic product life cycle and European experience on the regulatory trajectory in the United States. Clin Ther 34(2):400–419
Apostol I, Lippincott J, Levine J, Leach J, Hess E, Glascock CB, Weickert MJ, Blackmore R (1997) Incorporation of norvaline at leucine positions in recombinant human hemoglobin expressed in Escherichia coli. J Biol Chem 272:28980–28988
Armenta JM, Cortes DF, Pisciotta JM, Shuman JL, Blakeslee K, Rasoloson D, Ogunbiyi O, Sullivan DJ Jr, Shulaev V (2010) Sensitive and rapid method for amino acid quantitation in malaria biological samples using AccQ.Tag ultra performance liquid chromatography–electrospray ionization–MS/MS with multiple reaction monitoring. Anal Chem 82(2):548–558
Arrieta MP, Prats-Moya MS (2012) Free amino acids and biogenic amines in Alicante Monastrell wines. Food Chem 135(3):1511–1519
Berkowitz SA, Engen JR, Mazzeo JR, Jones GB (2012) Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars. Nat Rev Drug Discov 11(7):527–540
Bogosian G, Violand BN, Dorward-King EJ, Workman WE, Jung PE, Kane JF (1989) Biosynthesis and incorporation into protein of norleucine by Escherichia coli. J Biol Chem 264:531–539
Budisa N, Steipe B, Demange P, Eckerskorn C, Kellermann J, Huber R (1995) High-level biosynthetic substitution of methionine in proteins by its analogs 2-aminohexanoic acid, selenomethionine, telluromethionine and ethionine in Escherichia coli. Eur J Biochem 230:788–796
Dettmer K, Stevens AP, Fagerer SR, Kaspar H, Oefner PJ (2012) Amino acid analysis in physiological samples by GC–MS with propyl chloroformate derivatization and iTRAQ–LC–MS/MS. Methods Mol Biol 828:165–181
Fekete S, Oláh E, Fekete J (2012) Fast liquid chromatography: the domination of core–shell and very fine particles. J Chromotogr A 1228:57–71
Fekkes D (1996) State-of-the-art of high-performance liquid chromatographic analysis of amino acids in physiological samples. J Chromatogr B 682:3–22
Gritti F, Guiochon G (2012) The current revolution in column technology: how it began, where is it going? J Chromotogr A 1228:2–19
Guiochon G, Gritti F (2011) Shell particles, trials, tribulations and triumphs. J Chromotogr A 1218(15):1915–1938
Habicht G, Haupt C, Friedrich RP, Hortschansky P, Sachse C, Meinhardt J, Wieligmann K, Gellermann GP, Brodhun M, Götz J, Halbhuber KJ, Röcken C, Horn U, Fändrich M (2007) Directed selection of a conformational antibody domain that prevents mature amyloid fibril formation by stabilizing Aβ protofibrils. Proc Natl Acad Sci USA 104(49):19232–19237
Horn U, Strittmatter W, Krebber A, Knüpfer U, Kujau R, Wenderoth R, Müller C, Matzku S, Plückthun A, Riesenberg D (1996) High volumetric yields of functional dimeric miniantibodies in Escherichia coli using an optimized expression vector and high cell density fermentation under non-limited growth conditions. Appl Microbiol Biotechnol 46:524–532
Husek P, Simek P, Hartvich P, Zahradnickova H (2008) Fluoroalkyl chloroformates in treating amino acids for gas chromatographic analysis. J Chromatogr A 1186:391–400
Ilisz I, Aranyi A, Pataj Z, Péter A (2012) Enantiomeric separation of nonproteinogenic amino acids by high-performance liquid chromatography. J Chromotogr A. doi:10.1016/j.chroma.2012.07.011
Joseph MH, Davies P (1983) Electrochemical activity of o-phthalaldehyde mercaptoethanol derivatives of amino acids: application to high-performance liquid chromatographic determination of amino acids in plasma and other biological materials. J Chromatogr 277:125–136
Kaspar H, Dettmer K, Gronwald W, Oefner PJ (2009) Advances in amino acid analysis. Anal Bioanal Chem 393(2):445–452
Kisumi M, Sugiura M, Kato J, Chibata I (1976) l-Norvaline and l-homoisoleucine formation by Serratia marcescens. J Biochem 79(5):1021–1028
Kohlhaw G, Leary TR, Umbarger HE (1969) Alpha-isopropylmalate synthase from Salmonella typhimurium. Purification and properties. J Biol Chem 244:2218–2225
Kroemer O (2005) OPA amino acids on Gemini C18. Phenomenex application note ID: 15992
Le Boucher J, Charret C, Coudray-Lucas C, Giboudeau J, Cynober L (1997) Amino acid determination in biological fluids by automated ion-exchange chromatography: performance of Hitachi L-8500A. Clin Chem 43:1421–1428
Lu HS, Tsai LB, Kenney WC, Lai PH (1988) Identification of unusual replacement of methionine by norleucine in recombinant interleukin-2 produced by E. coli. Biochem Biophys Res Commun 156:807–813
Mayer HK, Fiechter G, Fischer E (2010) A new ultra-pressure liquid chromatography method for the determination of biogenic amines in cheese. J Chromotogr A 1217(19):3251–3257
Molnár-Perl I (2005) HPLC of amino acids as o-phthalaldehyde derivatives. J Chromotogr Libr 70:163–198
Nandi P, Sen GP (1953) An antifungal substance from a strain of Bacillus subtilis. Nature 172:871–872
Pappa-Louisi A, Nikitas P, Agrafiotou P, Papageorgiou A (2007) Optimization of separation and detection of 6-aminoquinolyl derivatives of amino acids by using reversed-phase liquid chromatography with on line UV, fluorescence and electrochemical detection. Anal Chim Acta 593:92–97
Pereira V, Pontes M, Câmara JS, Marques JC (2008) Simultaneous analysis of free amino acids and biogenic amines in honey and wine samples using in loop orthophthalaldehyde derivatization procedure. J Chromotogr A1189(1–2):435–443
Reynolds NM, Lazazzera BA, Ibba M (2010) Cellular mechanisms that control mistranslation. Nat Rev Microbiol 12:849–856
Roth M (1971) Fluorescence reaction for amino acids. Anal Chem 43(7):880–882
Soini J, Falschlehner C, Liedert C, Bernhardt J, Vuoristo J, Neubauer P (2008) Norvaline is accumulated after a down-shift of oxygen in Escherichia coli W3110. Microb Cell Fact 7:30
Song Y, Funatsu T, Tsunoda M (2012a) Rapid determination of amino acids in biological samples using a monolithic silica column. Amino Acids 42(5):1897–1902
Song Y, Funatsu T, Tsunoda M (2012b) Amino acid analysis using core–shell particle column. J Chromotogr B. doi:10.1016/j.jchromb.2012.09.005
Sugiura M, Kisumi M, Chibata I (1981) Biosynthetic pathway of beta-methylnorleucine, an antimetabolite produced by Serratia marcescens. J Antibiot 34:1283–1289
Sunasara KM, Cramer SM, Hauer CR, Rupp RG, Shoup VA (1999) Characterization of recombinant human brain-derived neurotrophic factor variants. Arch Biochem Biophys 372(2):248–260
Sycheva EV, Yampol’skaya TA, Preobrajenskaya ES, Novikova AE, Matrosov NG, Stoynova NV (2007) Overproduction of noncanonical amino acids by Escherichia coli cells. Mikrobiologiya 76(6):805–812
Tsai LB, Lu HS, Kenney WC, Curless CC, Klein ML, Lai PH, Fenton DM, Altrock BW, Mann MB (1988) Control of misincorporation of de novo synthesized norleucine into recombinant interleukin-2 in E. coli. Biochem Biophys Res Commun 156:733–739
Wan H, Blomberg LG (2000) Chiral separation of amino acids and peptides by capillary electrophoresis. J Chromatogr A 875(1–2):43–88
Waterval WAH, Scheijen J, Ortmans-Ploemen M, Habets-van der Poel CD, Bierau J (2009) Quantitative UPLC-MS/MS analysis of underivatised amino acids in body fluids is a reliable tool for the diagnosis and follow-up of patients with inborn errors of metabolism. Clin Chim Acta 407(1–2):36–42
Wu N, Clausen AM (2007) Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations. J Sep Sci 30(8):1167–1182
The authors acknowledge their sincere gratitude to JSMC, Wacker Biotech GmbH and the DFG for funding the project. We thank Dr. Dietmar Strehlow for critical reviewing the manuscript.
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The authors declare that they have no conflict of interest.
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Biermann, M., Bardl, B., Vollstädt, S. et al. Simultaneous analysis of the non-canonical amino acids norleucine and norvaline in biopharmaceutical-related fermentation processes by a new ultra-high performance liquid chromatography approach. Amino Acids 44, 1225–1231 (2013). https://doi.org/10.1007/s00726-013-1459-3
- Recombinant antibody
- Ultra-high performance liquid chromatography
- Biopharmaceutical fermentation
- Escherichia coli
- Bioprocess design