1
|
Altern SH, Welsh JP, Lyall JY, Kocot AJ, Burgess S, Kumar V, Williams C, Lenhoff AM, Cramer SM. Isotherm model discrimination for multimodal chromatography using mechanistic models derived from high-throughput batch isotherm data. J Chromatogr A 2023; 1693:463878. [PMID: 36827799 DOI: 10.1016/j.chroma.2023.463878] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 02/05/2023] [Accepted: 02/15/2023] [Indexed: 02/19/2023]
Abstract
In this work, we have examined an array of isotherm formalisms and characterized them based on their relative complexities and predictive abilities with multimodal chromatography. The set of isotherm models studied were all based on the stoichiometric displacement framework, with considerations for electrostatic interactions, hydrophobic interactions, and thermodynamic activities. Isotherm parameters for each model were first determined through twenty repeated fits to a set of mAb - Capto MMC batch isotherm data spanning a range of loading, ionic strength, and pH as well as a set of mAb - Capto Adhere batch data at constant pH. The batch isotherm data were used in two ways-spanning the full range of loading or consisting of only the high concentration data points. Predictive ability was defined through the model's capacity to capture prominent changes in salt gradient elution behavior with respect to pH for Capto MMC or unique elution patterns and yield losses with respect to gradient slope for Capto Adhere. In both cases, model performance was quantified using a scoring metric based on agreement in peak characteristics for column predictions and accuracy of fit for the batch data. These scores were evaluated for all twenty isotherm fits and their corresponding column predictions, thereby producing a statistical distribution of model performances. Model complexity (number of isotherm parameters) was then considered through use of the Akaike information criterion (AIC) calculated from the score distributions. While model performance for Capto MMC benefitted substantially from removal of low protein concentration data, this was not the case for Capto Adhere; this difference was likely due to the qualitatively different shapes of the isotherms between the two resins. Surprisingly, the top-performing (high accuracy with minimal number of parameters) isotherm model was the same for both resins. The extended steric mass action (SMA) isotherm (containing both protein-salt and protein-protein activity terms) accurately captured both the pH-dependent elution behavior for Capto MMC as well as loss in protein recovery with increasing gradient slope for Capto Adhere. In addition, this isotherm model achieved the highest median score in both resin systems, despite it lacking any explicit hydrophobic stoichiometric terms. The more complex isotherm models, which explicitly accounted for both electrostatic and hydrophobic interaction stoichiometries, were ill-suited for Capto MMC and had lower AIC model likelihoods for Capto Adhere due to their increased complexity. Interestingly, the ability of the extended SMA isotherm to predict the Capto Adhere results was largely due to the protein-salt activity coefficient, as determined via isotherm parameter sensitivity analyses. Further, parametric studies on this parameter demonstrated that it had a major impact on both binding affinity and elution behavior, therein fully capturing the impact of hydrophobic interactions. In summary, we were able to determine the isotherm formalisms most capable of consistently predicting a wide range of column behavior for both a multimodal cation-exchange and multimodal anion-exchange resin with high accuracy, while containing a minimized set of model parameters.
Collapse
Affiliation(s)
- Scott H Altern
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - John P Welsh
- Biologics Process Research and Development, Merck & Co., Inc., Rahway, NJ, USA
| | - Jessica Y Lyall
- Purification Development, Genentech, South San Francisco, CA, USA
| | - Andrew J Kocot
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Sean Burgess
- Purification Development, Genentech, South San Francisco, CA, USA
| | - Vijesh Kumar
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA
| | - Chris Williams
- Purification Development, Genentech, South San Francisco, CA, USA
| | - Abraham M Lenhoff
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA
| | - Steven M Cramer
- Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
| |
Collapse
|
2
|
Hess R, Yun D, Saleh D, Briskot T, Grosch JH, Wang G, Schwab T, Hubbuch J. Standardized method for mechanistic modeling of multimodal anion exchange chromatography in flow through operation. J Chromatogr A 2023; 1690:463789. [PMID: 36649667 DOI: 10.1016/j.chroma.2023.463789] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/14/2022] [Accepted: 01/08/2023] [Indexed: 01/12/2023]
Abstract
Multimodal chromatography offers an increased selectivity compared to unimodal chromatographic methods and is often employed for challenging separation tasks in industrial downstream processing (DSP). Unfortunately, the implementation of multimodal polishing into a generic downstream platform can be hampered by non-robust platform conditions leading to a time and cost intensive process development. Mechanistic modeling can assist experimental process development but readily applicable and easy to calibrate multimodal chromatography models are lacking. In this work, we present a mechanistic modeling aided approach that paves the way for an accelerated development of anionic mixed-mode chromatography (MMC) for biopharmaceutical purification. A modified multimodal isotherm model was calibrated using only three chromatographic experiments and was employed in the retention prediction of four antibody formats including a Fab, a bispecific, as well as an IgG1 and IgG4 antibody subtype at pH 5.0 and 6.0. The chromatographic experiments were conducted using the anionic mixed-mode resin Capto adhere at industrial relevant process conditions to enable flow through purification. An existing multimodal isotherm model was reduced to hydrophobic interactions in the linear range of the adsorption isotherm and successfully employed in the simulation of six chromatographic experiments per molecule in concert with the transport dispersive model (TDM). The model reduction to only three parameters did prevent structural parameter non-identifiability and enabled an analytical isotherm parameter determination that was further refined by incorporation of size exclusion effects of the selected multimodal resin. During the model calibration, three linear salt gradient elution experiments were performed for each molecule followed by an isotherm parameter uncertainty assessment. Lastly, each model was validated with a set of step and isocratic elution experiments. This standardized modeling approach facilitates the implementation of multimodal chromatography as a key unit operation for the biopharmaceutical downstream platform, while increasing the mechanistic insight to the multimodal adsorption behavior of complex biologics.
Collapse
Affiliation(s)
- Rudger Hess
- Karlsruhe Institute of Technology (KIT), Institute of Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe, Germany; DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Doil Yun
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - David Saleh
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Till Briskot
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Jan-Hendrik Grosch
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Gang Wang
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Thomas Schwab
- DSP Development, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Jürgen Hubbuch
- Karlsruhe Institute of Technology (KIT), Institute of Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe, Germany.
| |
Collapse
|
3
|
Understanding the effects of system differences for parameter estimation and scale-up of high throughput chromatographic data. J Chromatogr A 2021; 1661:462696. [PMID: 34875516 DOI: 10.1016/j.chroma.2021.462696] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/15/2021] [Accepted: 11/18/2021] [Indexed: 11/21/2022]
Abstract
In this paper, we evaluate how employing fraction collection and multistep gradients with RoboColumns® (Repligen, formally Atoll) affects both comparison to benchtop experimental data and column simulation parameter estimation. These operational differences arise from the RoboColumn® system (operated on an automated liquid handling device) requiring offline analysis for determination of elution profiles rather than the continuous in-line UV curves obtained with larger scale systems. In addition, multistep gradients are used to model the smooth linear gradients of larger scale systems because sequential injections are used to provide liquid flow. Comparisons of two sets of column simulations was first carried out to demonstrate that fraction collection reduced the first moments of the elution peaks by 1/2 of the fraction volumes. Additional column simulations determined that the effect of a multistep gradient approximation on retention volume was dependent upon the gradient step length. An empirical transformation was then developed to correct the first moments obtained from gradient experimental data using the RoboColumn® system. These corrected values provided a more direct comparison of the experimental data at different scales and resulted in a significant improvement in agreement with results obtained using a 20 mL benchtop column. Linear steric mass-action (SMA) parameters were then estimated using the corrected values and employed to successfully predict the performance of the benchtop system data. Finally, these parameters were demonstrated to be well suited for modeling the RoboColumn® gradient data when properly accounting for multistep gradients and fraction collection. This work continues previous investigations into understanding system differences associated with robotic liquid handling devices and proposes a methodology for properly accounting for operational differences to predict operation at larger scales using conventional chromatography systems.
Collapse
|
4
|
Dhamane S, Patil U, Smith M, Adhikari M, Nazem A, Conrad JC, Kourentzi K, Willson RC. Isocratic reporter-exclusion immunoassay using restricted-access adsorbents. Analyst 2021; 146:4835-4840. [PMID: 34198311 PMCID: PMC9798887 DOI: 10.1039/d1an00396h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We introduce analyte-dependent exclusion of reporter reagents from restricted-access adsorbents as the basis of an isocratic reporter-exclusion immunoassay for viruses, proteins, and other analytes. Capto™ Core 700 and related resins possess a noninteracting size-selective outer layer surrounding a high-capacity nonspecific mixed-mode capture adsorbent core. In the absence of analyte, antibody-enzyme reporter conjugates can enter the adsorbent and be captured, and their signal is lost. In the presence of large or artificially-expanded analytes, reporter reagents bind to analyte species to form complexes large enough to be excluded from the adsorbent core, allowing their signal to be observed. This assay principle is demonstrated using M13 bacteriophage virus and human chorionic gonadotropin as model analytes. The simple isocratic detection approach described here allows a rapid implementation of immunoassay for detection of a wide range of analytes and uses inexpensive, generally-applicable, and stable column materials instead of costly analyte-specific immunoaffinity adsorbents.
Collapse
Affiliation(s)
- Sagar Dhamane
- Department of Biology and Biochemistry, University of Houston, Houston, TX USA
| | - Ujwal Patil
- Department of Biology and Biochemistry, University of Houston, Houston, TX USA
| | - Maxwell Smith
- Department of Chemical and Biomolecular Engineering, University of Houston, TX USA
| | - Meena Adhikari
- Department of Biology and Biochemistry, University of Houston, Houston, TX USA
| | - Ahmad Nazem
- Department of Biomedical Engineering, University of Houston, Houston, TX USA
| | - Jacinta C. Conrad
- Department of Chemical and Biomolecular Engineering, University of Houston, TX USA
| | - Katerina Kourentzi
- Department of Chemical and Biomolecular Engineering, University of Houston, TX USA
| | - Richard C. Willson
- Department of Biology and Biochemistry, University of Houston, Houston, TX USA,Department of Biomedical Engineering, University of Houston, Houston, TX USA,Department of Chemical and Biomolecular Engineering, University of Houston, TX USA,Escuela de Medicina y Ciencias de las Salud ITESM, Monterrey, Mexico,Corresponding author. (Richard C. Willson)
| |
Collapse
|
5
|
Keller WR, Wendeler M. Using multimodal chromatography for post-conjugation antibody-drug conjugate purification: A methodology from high throughput screening to in-silico process development. J Chromatogr A 2021; 1653:462378. [PMID: 34311388 DOI: 10.1016/j.chroma.2021.462378] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/24/2021] [Accepted: 06/26/2021] [Indexed: 11/17/2022]
Abstract
In this paper, a methodology for the development of a multimodal chromatography process is presented that is aimed at removal of under-conjugated antibody-drug conjugate (ADC) species. Two ADCs are used as case studies: One ADC results from site-directed conjugation to inserted cysteine residues and has a drug-to-antibody ratio (DAR) of two, the other is the product of conjugation to interchain disulfide bonds with a DAR of eight. First, filter plate screening studies are designed for the unconjugated antibody and the ADCs. Different metrics for the analysis of these data sets are presented and discussed. From this analysis, the selected process conditions are then carried out using a benchtop chromatography system to confirm the separations observed in the filter plate studies while simultaneously generating data to estimate steric mass-action isotherm and mass transport parameters for process simulation. This column model is then employed to develop separation processes in-silico for the removal of the unconjugated parent antibody and under-conjugated product variants. The optimized process conditions identified using the model are then verified experimentally. The methodology presented in this work utilizes multimodal chromatography for ADC purification and provides the framework for a streamlined systematic approach to process development.
Collapse
Affiliation(s)
- William R Keller
- Purification Process Sciences, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, USA.
| | - Michaela Wendeler
- Purification Process Sciences, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, USA
| |
Collapse
|
6
|
Roberts JA, Kimerer L, Carta G. Effects of molecule size and resin structure on protein adsorption on multimodal anion exchange chromatography media. J Chromatogr A 2020; 1628:461444. [DOI: 10.1016/j.chroma.2020.461444] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/29/2020] [Accepted: 07/31/2020] [Indexed: 10/23/2022]
|
7
|
Pinto IF, Soares RRG, Aires‐Barros MR, Chu V, Conde JP, Azevedo AM. Optimizing the Performance of Chromatographic Separations Using Microfluidics: Multiplexed and Quantitative Screening of Ligands and Target Molecules. Biotechnol J 2019; 14:e1800593. [DOI: 10.1002/biot.201800593] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 05/20/2019] [Indexed: 02/06/2023]
Affiliation(s)
- Inês F. Pinto
- INESC Microsistemas e NanotecnologiasIN ‐ Institute of Nanoscience and Nanotechnology Rua Alves Redol 9 1000‐029 Lisbon Portugal
- IBB ‐ Institute for Bioengineering and Biosciences Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
| | - Ruben R. G. Soares
- INESC Microsistemas e NanotecnologiasIN ‐ Institute of Nanoscience and Nanotechnology Rua Alves Redol 9 1000‐029 Lisbon Portugal
- IBB ‐ Institute for Bioengineering and Biosciences Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
| | - Maria R. Aires‐Barros
- IBB ‐ Institute for Bioengineering and Biosciences Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
- Department of Bioengineering Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
| | - Virginia Chu
- INESC Microsistemas e NanotecnologiasIN ‐ Institute of Nanoscience and Nanotechnology Rua Alves Redol 9 1000‐029 Lisbon Portugal
| | - João P. Conde
- INESC Microsistemas e NanotecnologiasIN ‐ Institute of Nanoscience and Nanotechnology Rua Alves Redol 9 1000‐029 Lisbon Portugal
- Department of Bioengineering Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
| | - Ana M. Azevedo
- IBB ‐ Institute for Bioengineering and Biosciences Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
- Department of Bioengineering Instituto Superior TécnicoUniversidade de Lisboa Avenida Rovisco Pais 1 1049‐001 Lisbon Portugal
| |
Collapse
|
8
|
Bilodeau CL, Lau EY, Cramer SM, Garde S. Conformational Equilibria of Multimodal Chromatography Ligands in Water and Bound to Protein Surfaces. J Phys Chem B 2019; 123:4833-4843. [DOI: 10.1021/acs.jpcb.9b01218] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Camille L. Bilodeau
- Howard P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, New York 12180, United States
| | - Edmond Y. Lau
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California 94550, United States
| | - Steven M. Cramer
- Howard P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, New York 12180, United States
| | - Shekhar Garde
- Howard P. Isermann Department of Chemical and Biological Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, New York 12180, United States
| |
Collapse
|
9
|
Adamíková J, Antošová M, Polakovič M. Chromatographic purification of recombinant human erythropoietin. Biotechnol Lett 2019; 41:483-493. [PMID: 30810853 DOI: 10.1007/s10529-019-02656-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 02/22/2019] [Indexed: 02/07/2023]
Abstract
Recombinant human erythropoietin is a valuable therapeutic protein used in the treatment of several serious diseases. It exists in different isoforms and is produced by genetically modified mammalian cells such as Chinese hamster ovary or human embryonic kidney cells. As for other biopharmaceutical drugs, a key factor for its successful industrial production is to achieve a high degree of purity and to decrease the content of critical impurities to trace amounts. This goal is achieved in the separation sequence which substantial part is formed by chromatographic steps. Therefore, downstream processing forms an essential part of production costs. This review presents the overview of published separation sequences and, analyzes the use of different types of chromatographic media such as affinity, ion-exchange, reversed-phase, hydrophobic interaction, multimodal, and size-exclusion chromatography adsorbents. Their application is discussed with regard to their place in the purification stages generally denoted as capture, intermediate purification and polishing.
Collapse
Affiliation(s)
- Jana Adamíková
- Department of Chemical and Biochemical Engineering, Faculty of Chemical and Food Technology, Institute of Chemical and Environmental Engineering, Slovak University of Technology, Radlinského 9, 812 37, Bratislava, Slovakia
| | - Monika Antošová
- Department of Chemical and Biochemical Engineering, Faculty of Chemical and Food Technology, Institute of Chemical and Environmental Engineering, Slovak University of Technology, Radlinského 9, 812 37, Bratislava, Slovakia
| | - Milan Polakovič
- Department of Chemical and Biochemical Engineering, Faculty of Chemical and Food Technology, Institute of Chemical and Environmental Engineering, Slovak University of Technology, Radlinského 9, 812 37, Bratislava, Slovakia.
| |
Collapse
|
10
|
Santarelli X, Cabanne C. Mixed Mode Chromatography: A Novel Way Toward New Selectivity. Curr Protein Pept Sci 2018; 20:14-21. [DOI: 10.2174/1389203718666171024121137] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 07/01/2017] [Accepted: 09/10/2017] [Indexed: 11/22/2022]
Abstract
Mixed mode chromatography offers a diversity of ligands, each providing a new selectivity.
This allows the design of novel purification processes with reduced column steps. Structure of ligands is
based on both hydrophobic and ionic groups. Thanks to its salt tolerance, crude extracts or post-IEX
samples can be loaded directly without conditioning. The selectivity could be enhanced by modulating
elution parameters or by using additives. More importantly, mixed mode chromatography could be as
effective as affinity chromatography for mAb purification processes. Mixed mode chromatography
opens the way to short and economical processes.
Collapse
|
11
|
Cabanne C, Santarelli X. Mixed Mode Chromatography, Complex Development for Large Opportunities. Curr Protein Pept Sci 2018; 20:22-27. [DOI: 10.2174/1389203718666171030104211] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 06/16/2017] [Accepted: 09/11/2017] [Indexed: 11/22/2022]
Abstract
Mixed mode chromatography resins with salt tolerance, large design space and orthogonal
selectivity requires a slightly more complex development than traditional resins. It is important to screen
several ligands and several binding and elution conditions. This allows taking full advantage of these
resins. High-Throughput Screening (HTS) for Process Development should be done with the help of
Design of Experiment (DoE). It could be performed in filter plates or Robocolumns, and assisted by liquid
handling automated workstation. Modeling of the results allows the choice of optimal parameters
that can then be validated and scaled up. All this leads to a better knowledge and robustness of the purification
step.
Collapse
|
12
|
Hirano A, Shiraki K, Kameda T. Effects of Arginine on Multimodal Chromatography: Experiments and Simulations. Curr Protein Pept Sci 2018; 20:40-48. [DOI: 10.2174/1389203718666171024115407] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 07/01/2017] [Accepted: 09/09/2017] [Indexed: 11/22/2022]
Abstract
Multimodal or mixed-mode chromatography can be used to separate various proteins, including
antibodies. The separation quality and efficiency have been improved by the addition of solutes, especially
arginine. This review summarizes the mechanism underlying the effects of arginine on protein
elution in multimodal chromatography with neutral, anionic or cationic resin ligands; the mechanism has
been investigated using experiments and molecular dynamics simulations. Arginine is effective in facilitating
protein elution compared to salts and protein denaturants such as guanidine and urea. The unique
elution effect of arginine can be explained by the interplay among arginine, proteins and the resin
ligands. Arginine exhibits multiple binding modes for the ligands and further affinity for protein aromatic
residues through its guanidinium group. These properties make arginine versatile for protein elution
in multimodal chromatography. Taking into account that arginine is an aggregation suppressor for
proteins but not a protein denaturant, arginine is a promising protein-eluting reagent for multimodal
chromatography.
Collapse
Affiliation(s)
- Atsushi Hirano
- Nanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan
| | - Kentaro Shiraki
- Institute of Applied Physics, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | - Tomoshi Kameda
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo 135-0064, Japan
| |
Collapse
|
13
|
Domain contributions to antibody retention in multimodal chromatography systems. J Chromatogr A 2018; 1563:89-98. [DOI: 10.1016/j.chroma.2018.05.058] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 04/16/2018] [Accepted: 05/27/2018] [Indexed: 11/17/2022]
|
14
|
|
15
|
Kumar V, Rathore AS. Mechanistic Modeling Based PAT Implementation for Ion-Exchange Process Chromatography of Charge Variants of Monoclonal Antibody Products. Biotechnol J 2017; 12. [DOI: 10.1002/biot.201700286] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 07/04/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Vijesh Kumar
- Department of Chemical Engineering; Indian Institute of Technology; Hauz Khas New Delhi India
| | - Anurag S. Rathore
- Department of Chemical Engineering; Indian Institute of Technology; Hauz Khas New Delhi India
| |
Collapse
|
16
|
Karkov HS, Krogh BO, Woo J, Parimal S, Ahmadian H, Cramer SM. Investigation of protein selectivity in multimodal chromatography usingin silicodesigned Fab fragment variants. Biotechnol Bioeng 2015; 112:2305-15. [DOI: 10.1002/bit.25642] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Revised: 04/14/2015] [Accepted: 04/28/2015] [Indexed: 01/10/2023]
Affiliation(s)
- Hanne Sophie Karkov
- Department of Chemical and Biological Engineering; Center for Biotechnology and Interdisciplinary Studies; Rensselaer Polytechnic Institute; Troy New York 12180
- Protein Purification Technology; Novo Nordisk A/S; DK-2760 Maaloev Denmark
| | | | - James Woo
- Department of Chemical and Biological Engineering; Center for Biotechnology and Interdisciplinary Studies; Rensselaer Polytechnic Institute; Troy New York 12180
| | - Siddharth Parimal
- Department of Chemical and Biological Engineering; Center for Biotechnology and Interdisciplinary Studies; Rensselaer Polytechnic Institute; Troy New York 12180
| | - Haleh Ahmadian
- Protein Purification Technology; Novo Nordisk A/S; DK-2760 Maaloev Denmark
| | - Steven M. Cramer
- Department of Chemical and Biological Engineering; Center for Biotechnology and Interdisciplinary Studies; Rensselaer Polytechnic Institute; Troy New York 12180
| |
Collapse
|
17
|
Multimodal chromatography: debottlenecking the downstream processing of monoclonal antibodies. ACTA ACUST UNITED AC 2015. [DOI: 10.4155/pbp.15.7] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
18
|
Cirkovas A, Sereikaite J. Influence ofl-homoarginine as an analogue ofl-arginine on the heat-induced aggregation of proteins. Biotechnol Prog 2015; 31:808-14. [DOI: 10.1002/btpr.2081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Revised: 03/06/2015] [Indexed: 01/11/2023]
Affiliation(s)
- Andrejus Cirkovas
- Dept. of Chemistry and Bioengineering; Vilnius Gediminas Technical University; Vilnius Lithuania
| | - Jolanta Sereikaite
- Dept. of Chemistry and Bioengineering; Vilnius Gediminas Technical University; Vilnius Lithuania
| |
Collapse
|