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Sripada SA, Hosseini M, Ramesh S, Wang J, Ritola K, Menegatti S, Daniele MA. Advances and opportunities in process analytical technologies for viral vector manufacturing. Biotechnol Adv 2024; 74:108391. [PMID: 38848795 DOI: 10.1016/j.biotechadv.2024.108391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 03/14/2024] [Accepted: 05/29/2024] [Indexed: 06/09/2024]
Abstract
Viral vectors are an emerging, exciting class of biologics whose application in vaccines, oncology, and gene therapy has grown exponentially in recent years. Following first regulatory approval, this class of therapeutics has been vigorously pursued to treat monogenic disorders including orphan diseases, entering hundreds of new products into pipelines. Viral vector manufacturing supporting clinical efforts has spurred the introduction of a broad swath of analytical techniques dedicated to assessing the diverse and evolving panel of Critical Quality Attributes (CQAs) of these products. Herein, we provide an overview of the current state of analytics enabling measurement of CQAs such as capsid and vector identities, product titer, transduction efficiency, impurity clearance etc. We highlight orthogonal methods and discuss the advantages and limitations of these techniques while evaluating their adaptation as process analytical technologies. Finally, we identify gaps and propose opportunities in enabling existing technologies for real-time monitoring from hardware, software, and data analysis viewpoints for technology development within viral vector biomanufacturing.
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Affiliation(s)
- Sobhana A Sripada
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC, 27695, USA
| | - Mahshid Hosseini
- Joint Department of Biomedical Engineering, North Carolina State University, and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695, USA
| | - Srivatsan Ramesh
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC, 27695, USA
| | - Junhyeong Wang
- Joint Department of Biomedical Engineering, North Carolina State University, and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695, USA
| | - Kimberly Ritola
- North Carolina Viral Vector Initiative in Research and Learning (NC-VVIRAL), North Carolina State University, 890 Oval Dr, Raleigh, NC 27695, USA; Neuroscience Center, Brain Initiative Neurotools Vector Core, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stefano Menegatti
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC, 27695, USA; North Carolina Viral Vector Initiative in Research and Learning (NC-VVIRAL), North Carolina State University, 890 Oval Dr, Raleigh, NC 27695, USA; Biomanufacturing Training and Education Center, North Carolina State University, 890 Main Campus Dr, Raleigh, NC 27695, USA.
| | - Michael A Daniele
- Joint Department of Biomedical Engineering, North Carolina State University, and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695, USA; North Carolina Viral Vector Initiative in Research and Learning (NC-VVIRAL), North Carolina State University, 890 Oval Dr, Raleigh, NC 27695, USA; Department of Electrical and Computer Engineering, North Carolina State University, 890 Oval Dr, Raleigh, NC 27695, USA.
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Destro F, Wu W, Srinivasan P, Joseph J, Bal V, Neufeld C, Wolfrum JM, Manalis SR, Sinskey AJ, Springs SL, Barone PW, Braatz RD. The state of technological advancement to address challenges in the manufacture of rAAV gene therapies. Biotechnol Adv 2024; 76:108433. [PMID: 39168354 DOI: 10.1016/j.biotechadv.2024.108433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 07/04/2024] [Accepted: 08/17/2024] [Indexed: 08/23/2024]
Abstract
Current processes for the production of recombinant adeno-associated virus (rAAV) are inadequate to meet the surging demand for rAAV-based gene therapies. This article reviews recent advances that hold the potential to address current limitations in rAAV manufacturing. A multidisciplinary perspective on technological progress in rAAV production is presented, underscoring the necessity to move beyond incremental refinements and adopt a holistic strategy to address existing challenges. Since several recent reviews have thoroughly covered advancements in upstream technology, this article provides only a concise overview of these developments before moving to pivotal areas of rAAV manufacturing not well covered in other reviews, including analytical technologies for rapid and high-throughput measurement of rAAV quality attributes, mathematical modeling for platform and process optimization, and downstream approaches to maximize efficiency and rAAV yield. Novel technologies that have the potential to address the current gaps in rAAV manufacturing are highlighted. Implementation challenges and future research directions are critically discussed.
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Affiliation(s)
- Francesco Destro
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Weida Wu
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Prasanna Srinivasan
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - John Joseph
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Vivekananda Bal
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Caleb Neufeld
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jacqueline M Wolfrum
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Scott R Manalis
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anthony J Sinskey
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Stacy L Springs
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Paul W Barone
- Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Richard D Braatz
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Center for Biomedical Innovation, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Poonia M, Morder CJ, Schorr HC, Schultz ZD. Raman and Surface-Enhanced Raman Scattering Detection in Flowing Solutions for Complex Mixture Analysis. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2024; 17:411-432. [PMID: 38382105 PMCID: PMC11254575 DOI: 10.1146/annurev-anchem-061522-035207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Raman scattering provides a chemical-specific and label-free method for identifying and quantifying molecules in flowing solutions. This review provides a comprehensive examination of the application of Raman spectroscopy and surface-enhanced Raman scattering (SERS) to flowing liquid samples. We summarize developments in online and at-line detection using Raman and SERS analysis, including the design of microfluidic devices, the development of unique SERS substrates, novel sampling interfaces, and coupling these approaches to fluid-based chemical separations (e.g., chromatography and electrophoresis). The article highlights the challenges and limitations associated with these techniques and provides examples of their applications in a variety of fields, including chemistry, biology, and environmental science. Overall, this review demonstrates the utility of Raman and SERS for analysis of complex mixtures and highlights the potential for further development and optimization of these techniques.
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Affiliation(s)
- Monika Poonia
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA;
| | - Courtney J Morder
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA;
| | - Hannah C Schorr
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA;
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio, USA;
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Sripada SA, Barbieri E, Shastry S, Wuestenhagen E, Aldinger A, Rammo O, Schulte MM, Daniele M, Menegatti S. Multiangle Light Scattering as a Lentivirus Purification Process Analytical Technology. Anal Chem 2024; 96:9593-9600. [PMID: 38804040 DOI: 10.1021/acs.analchem.4c01209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The limited biomolecular and functional stability of lentiviral vectors (LVVs) for cell therapy poses the need for analytical tools that can monitor their titers and activity throughout the various steps of expression and purification. In this study, we describe a rapid (25 min) and reproducible (coefficient of variance ∼0.5-2%) method that leverages size exclusion chromatography coupled with multiangle light scattering detection (SEC-MALS) to determine size, purity, and particle count of LVVs purified from bioreactor harvests. The SEC-MALS data were corroborated by orthogonal methods, namely, dynamic light scattering (DLS) and transmission electron microscopy. The method was also evaluated for robustness in the range of 2.78 × 105-2.67 × 107 particles per sample. Notably, MALS-based particle counts correlated with the titer of infectious LVVs measured via transduction assays (R2 = 0.77). Using a combination of SEC-MALS and DLS, we discerned the effects of purification parameters on LVV quality, such as the separation between heterogeneous LV, which can facilitate critical decision-making in the biomanufacturing of gene and cell therapies.
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Affiliation(s)
- Sobhana A Sripada
- Department of Chemical and Biomolecular Engineering, NC State University, 911 Partners Way, Raleigh, North Carolina 27606, United States
- NC-VVIRAL, NC State University, 1840 Entrepreneur Dr, Raleigh, North Carolina 27606, United States
| | - Eduardo Barbieri
- Department of Chemical and Biomolecular Engineering, NC State University, 911 Partners Way, Raleigh, North Carolina 27606, United States
- LigaTrap Technologies LLC, 1791 Varsity Drive, Suite #150, Raleigh, North Carolina 27606, United States
| | - Shriarjun Shastry
- Department of Chemical and Biomolecular Engineering, NC State University, 911 Partners Way, Raleigh, North Carolina 27606, United States
- Biomanufacturing Training and Education Center, NC State University, 850 Oval Dr, Raleigh, North Carolina 27606, United States
- NC-VVIRAL, NC State University, 1840 Entrepreneur Dr, Raleigh, North Carolina 27606, United States
| | | | | | | | | | - Michael Daniele
- Department of Electrical and Computer Engineering, NC State University, 890 Oval Dr, Raleigh, North Carolina 27606, United States
- Joint Department of Biomedical Engineering, NC State University and UNC Chapel Hill, 1840 Entrepreneur Dr, Raleigh, North Carolina 27606, United States
- NC-VVIRAL, NC State University, 1840 Entrepreneur Dr, Raleigh, North Carolina 27606, United States
| | - Stefano Menegatti
- Department of Chemical and Biomolecular Engineering, NC State University, 911 Partners Way, Raleigh, North Carolina 27606, United States
- LigaTrap Technologies LLC, 1791 Varsity Drive, Suite #150, Raleigh, North Carolina 27606, United States
- Biomanufacturing Training and Education Center, NC State University, 850 Oval Dr, Raleigh, North Carolina 27606, United States
- NC-VVIRAL, NC State University, 1840 Entrepreneur Dr, Raleigh, North Carolina 27606, United States
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Li J, Guan R, Wuethrich A, Yan M, Cheng J, Liu G, Zhan J, Trau M, Sun Y. High Accuracy of Clinical Verification of Electrohydrodynamic-Driven Nanobox-on-Mirror Platform for Molecular Identification of Respiratory Viruses. Anal Chem 2024; 96:4495-4504. [PMID: 38445954 DOI: 10.1021/acs.analchem.3c05120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
The molecular detection of multiple respiratory viruses provides evidence for the rational use of drugs and effective health management. Herein, we developed and tested the clinical performance of an electrohydrodynamic-driven nanobox-on-mirror platform (E-NoM) for the parallel, accurate, and sensitive detection of four respiratory viral antigens. The E-NoM platform uses gold-silver alloy nanoboxes as the core material with the deposition of a silver layer as a shell on the core surfaces to amplify and enable a reproducible Raman signal readout that facilitates accurate detection. Additionally, the E-NoM platform employs gold microelectrode arrays as the mirror with electrohydrodynamics to manipulate the fluid flow and enhance molecular interactions for an improved biosensing response. The presence of viral antigens binds the nanobox-based core-shell nanostructure on the gold microelectrode and creates the nanocavity with extremely strong "hot spots" to benefit sensitive analysis. Significantly, in a large clinical cohort with 227 patients, the designed E-NoM platform demonstrates the capability of screening respiratory infection with achieved clinical specificity, sensitivity, and accuracy of 100.0, 96.48, and 96.91%, respectively. It is anticipated that the E-NoM platform can find a position in clinical usage for respiratory disease diagnosis.
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Affiliation(s)
- Junrong Li
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Rui Guan
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Alain Wuethrich
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Mingzhe Yan
- Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430023, P. R. China
| | - Jing Cheng
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430072, P. R. China
| | - Guorong Liu
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Jianbo Zhan
- Institute of Health Inspection and Testing Hubei Provincial Center for Disease Control and Prevention, Wuhan 430072, P. R. China
| | - Matt Trau
- Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yao Sun
- National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
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Morder CJ, Schultz ZD. A 3D printed sheath flow interface for surface enhanced Raman spectroscopy (SERS) detection in flow. Analyst 2024; 149:1849-1860. [PMID: 38347805 PMCID: PMC10926779 DOI: 10.1039/d3an02125d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 01/23/2024] [Indexed: 03/10/2024]
Abstract
Surface enhanced Raman spectroscopy (SERS) is an effective technique for detecting molecules in aqueous solutions due to its insensitivity to water, which makes it especially useful for biological samples. Utilizing SERS in flow can aid in a variety of applications such as metabolomics, pharmaceuticals, and diagnostics. The ability to 3D print complex objects enables rapid dissemination of prototypes. A 3D printed flow cell for sheath flow SERS detection has been developed that can incorporate a variety of planar substrates. The 3D printed flow cell incorporates hydrodynamic focusing, a sheath flow, that confines the analyte near the SERS substrate. Since the SERS signal obtained relies on the interaction between analyte molecules and nanostructures, sheath flow increases the detection efficiency and eliminates many issues associated with SERS detection in solution. This device was optimized by analyzing both molecules and particles with and without using sheath flow for SERS detection. Our results show that the flow rates can be optimized to increase the SERS signal obtained from a variety of analytes, and that the signal was increased when using sheath flow. This 3D printed flow cell offers a straightforward method to disseminate this technology and to facilitate online SERS detection.
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Affiliation(s)
- Courtney J Morder
- Department of Chemistry and Biochemistry, The Ohio State University, 140 W. 18th Avenue, Columbus, OH 43210, USA.
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, 140 W. 18th Avenue, Columbus, OH 43210, USA.
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Morder CJ, Schorr HC, Balss KM, Schultz ZD. Bleach Cleaning of Commercially Available Gold Nanopillar Arrays for Surface-Enhanced Raman Spectroscopy (SERS). APPLIED SPECTROSCOPY 2024; 78:268-276. [PMID: 38112337 PMCID: PMC10921819 DOI: 10.1177/00037028231219721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive technique that can assist in trace analysis for biomedical, diagnostic, and environmental applications. However, a major limitation of SERS is surface contamination of the substrates used, which can complicate the spectral reproducibility, limits of detection, and detection of unknown analytes. This is especially prevalent with commercially available substrates as shipping under a controlled and clean environment is difficult. Here we report a method using dilute bleach solutions to remove surface contamination from commercially available substrates consisting of gold-coated nanopillar arrays that maintains functionality. The results show that this method can be used to remove background signals associated with typical surface contamination in commercially available substrates as well as remove thiolated self-assembled monolayers (SAMs). Results indicate the bleach oxidizes the surface contaminants, which can then be easily washed away. Although the metallic surface also becomes oxidized in this process, the surface can be reduced without loss of SERS activity. The SERS intensity of SAMs improved following bleach treatment across all concentrations studied.
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Affiliation(s)
- Courtney J. Morder
- Department of Chemistry and Biochemistry, The Ohio State University, 140 W. 18th Avenue, Columbus, OH 43210, USA
| | - Hannah C. Schorr
- Department of Chemistry and Biochemistry, The Ohio State University, 140 W. 18th Avenue, Columbus, OH 43210, USA
| | - Karin M. Balss
- Emerging Technologies, Manufacturing Science and Technology, Janssen Supply Chain, Spring House, PA 19477, USA
| | - Zachary D. Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, 140 W. 18th Avenue, Columbus, OH 43210, USA
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Matuszczyk JC, Zijlstra G, Ede D, Ghaffari N, Yuh J, Brivio V. Raman spectroscopy provides valuable process insights for cell-derived and cellular products. Curr Opin Biotechnol 2023; 81:102937. [PMID: 37187103 DOI: 10.1016/j.copbio.2023.102937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/01/2023] [Accepted: 03/10/2023] [Indexed: 05/17/2023]
Abstract
Two of the big challenges in modern bioprocesses are process economics and in-depth process understanding. Getting access to online process data helps to understand process dynamics and monitor critical process parameters (CPPs). This is an important part of the quality-by- design concept that was introduced to the pharmaceutical industry in the last decade. Raman spectroscopy has proven to be a versatile tool to allow noninvasive measurements and access to a broad spectrum of analytes. This information can then be used for enhanced process control strategies. This review article will focus on the latest applications of Raman spectroscopy in established protein production bioprocesses as well as show its potential for virus, cell therapy, and mRNA processes.
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Affiliation(s)
| | | | - David Ede
- Sartorius Stedim North America, Inc., USA
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