1
|
Jhajj HS, Schardt JS, Khalasawi N, Yao EL, Lwo TS, Kwon NY, O'Meara RL, Desai AA, Tessier PM. Facile generation of biepitopic antibodies with intrinsic agonism for activating tumor necrosis factor receptors. Cell Chem Biol 2024; 31:944-954.e5. [PMID: 38653243 PMCID: PMC11142405 DOI: 10.1016/j.chembiol.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/28/2024] [Accepted: 03/29/2024] [Indexed: 04/25/2024]
Abstract
Agonist antibodies are being pursued for therapeutic applications ranging from neurodegenerative diseases to cancer. For the tumor necrosis factor (TNF) receptor superfamily, higher-order clustering of three or more receptors is key to their activation, which can be achieved using antibodies that recognize two unique epitopes. However, the generation of biepitopic (i.e., biparatopic) antibodies typically requires animal immunization and is laborious and unpredictable. Here, we report a simple method for identifying biepitopic antibodies that potently activate TNF receptors without the need for additional animal immunization. Our approach uses existing, receptor-specific IgGs, which lack intrinsic agonist activity, to block their corresponding epitopes, then selects single-chain antibodies that bind accessible epitopes. The selected antibodies are fused to the light chains of IgGs to generate human tetravalent antibodies. We highlight the broad utility of this approach by converting several clinical-stage antibodies against OX40 and CD137 (4-1BB) into biepitopic antibodies with potent agonist activity.
Collapse
MESH Headings
- Humans
- Epitopes/immunology
- Epitopes/chemistry
- Animals
- Receptors, Tumor Necrosis Factor/agonists
- Receptors, Tumor Necrosis Factor/immunology
- Receptors, Tumor Necrosis Factor/metabolism
- Tumor Necrosis Factor Receptor Superfamily, Member 9/agonists
- Tumor Necrosis Factor Receptor Superfamily, Member 9/immunology
- Tumor Necrosis Factor Receptor Superfamily, Member 9/metabolism
- Tumor Necrosis Factor Receptor Superfamily, Member 9/antagonists & inhibitors
- Receptors, OX40/agonists
- Receptors, OX40/immunology
- Receptors, OX40/metabolism
- Receptors, OX40/antagonists & inhibitors
- Antibodies/immunology
- Single-Chain Antibodies/immunology
- Single-Chain Antibodies/chemistry
- Single-Chain Antibodies/pharmacology
- Mice
Collapse
Affiliation(s)
- Harkamal S Jhajj
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - John S Schardt
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Namir Khalasawi
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Emily L Yao
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Timon S Lwo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Na-Young Kwon
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ryen L O'Meara
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alec A Desai
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter M Tessier
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
2
|
Jhajj HS, Schardt JS, Khalasawi N, Yao EL, Lwo TS, Kwon NY, O’Meara RL, Desai AA, Tessier PM. Facile generation of biepitopic antibodies with intrinsic agonism for activating receptors in the tumor necrosis factor superfamily. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.11.571146. [PMID: 38168220 PMCID: PMC10760063 DOI: 10.1101/2023.12.11.571146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Agonist antibodies that activate cellular receptors are being pursued for therapeutic applications ranging from neurodegenerative diseases to cancer. For the tumor necrosis factor (TNF) receptor superfamily, higher-order clustering of three or more receptors is key to their potent activation. This can be achieved using antibodies that recognize two unique epitopes on the same receptor and mediate receptor superclustering. However, identifying compatible pairs of antibodies to generate biepitopic antibodies (also known as biparatopic antibodies) for activating TNF receptors typically requires animal immunization and is a laborious and unpredictable process. Here, we report a simple method for systematically identifying biepitopic antibodies that potently activate TNF receptors without the need for additional animal immunization. Our approach uses off-the-shelf, receptor-specific IgG antibodies, which lack intrinsic (Fc-gamma receptor-independent) agonist activity, to first block their corresponding epitopes. Next, we perform selections for single-chain antibodies from human nonimmune libraries that bind accessible epitopes on the same ectodomains using yeast surface display and fluorescence-activated cell sorting. The selected single-chain antibodies are finally fused to the light chains of IgGs to generate human tetravalent antibodies that engage two different receptor epitopes and mediate potent receptor activation. We highlight the broad utility of this approach by converting several existing clinical-stage antibodies against TNF receptors, including ivuxolimab and pogalizumab against OX40 and utomilumab against CD137, into biepitopic antibodies with highly potent agonist activity. We expect that this widely accessible methodology can be used to systematically generate biepitopic antibodies for activating other receptors in the TNF receptor superfamily and many other receptors whose activation is dependent on strong receptor clustering.
Collapse
Affiliation(s)
- Harkamal S. Jhajj
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - John S. Schardt
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Namir Khalasawi
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Emily L. Yao
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Timon S. Lwo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Na-Young Kwon
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ryen L O’Meara
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alec A. Desai
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter M. Tessier
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
| |
Collapse
|
3
|
Singh GP, Sardana N. Smartphone-based Surface Plasmon Resonance Sensors: a Review. PLASMONICS (NORWELL, MASS.) 2022; 17:1869-1888. [PMID: 35702265 PMCID: PMC9184243 DOI: 10.1007/s11468-022-01672-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
The surface plasmon resonance (SPR) is a phenomenon based on the combination of quantum mechanics and electromagnetism, which leads to the creation of charge oscillations on a metal-dielectric interface. The SPR phenomenon creates a signal which measures refractive index change at the metal-dielectric interface. SPR-based sensors are being developed for real-time and label-free detection of water pollutants, toxins, disease biomarkers, etc., which are highly sensitive and selective. Smartphones provide hardware and software capability which can be incorporated into SPR sensors, enabling the possibility of economical and accurate on-site portable sensing. The camera, screen, and LED flashlight of the smartphone can be employed as components of the sensor. The current article explores the recent advances in smartphone-based SPR sensors by studying their principle, components, application, and signal processing. Furthermore, the general theoretical and practical aspects of SPR sensors are discussed.
Collapse
Affiliation(s)
- Gaurav Pal Singh
- Department of Metallurgical and Materials Engineering, Indian Institute of Technology Ropar, Rupnagar, 140001 India
| | - Neha Sardana
- Department of Metallurgical and Materials Engineering, Indian Institute of Technology Ropar, Rupnagar, 140001 India
| |
Collapse
|
4
|
Corless E, Hao Y, Jia H, Kongsuphol P, Tay DMY, Ng SY, Sikes HD. Generation of Thermally Stable Affinity Pairs for Sensitive, Specific Immunoassays. Methods Mol Biol 2022; 2491:417-469. [PMID: 35482202 DOI: 10.1007/978-1-0716-2285-8_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Many point-of-care diagnostic tests rely on a pair of monoclonal antibodies that bind to two distinct epitopes of a molecule of interest. This protocol describes the identification and generation of such affinity pairs based on an easily produced small protein scaffold rcSso7d which can substitute monoclonal antibodies. These strong binding variants are identified from a large yeast display library. The approach described can be significantly faster than antibody generation and epitope binning, yielding affinity pairs synthesized in common bacterial protein synthesis strains, enabling the rapid generation of novel diagnostic tools.
Collapse
Affiliation(s)
- Elliot Corless
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yining Hao
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Huan Jia
- Antimicrobial Resistance Interdisciplinary Research Group (AMR-IRG), Singapore-MIT Alliance in Research and Technology (SMART), Singapore, Singapore
| | - Patthara Kongsuphol
- Antimicrobial Resistance Interdisciplinary Research Group (AMR-IRG), Singapore-MIT Alliance in Research and Technology (SMART), Singapore, Singapore
| | - Dousabel M Y Tay
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Say Yong Ng
- Antimicrobial Resistance Interdisciplinary Research Group (AMR-IRG), Singapore-MIT Alliance in Research and Technology (SMART), Singapore, Singapore
| | - Hadley D Sikes
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Antimicrobial Resistance Interdisciplinary Research Group (AMR-IRG), Singapore-MIT Alliance in Research and Technology (SMART), Singapore, Singapore.
| |
Collapse
|
5
|
Kim S, Yee E, Miller EA, Hao Y, Tay DMY, Sung KJ, Jia H, Johnson JM, Saeed M, Mace CR, Yüksel Yurt D, Sikes HD. Developing a SARS-CoV-2 Antigen Test Using Engineered Affinity Proteins. ACS APPLIED MATERIALS & INTERFACES 2021; 13:38990-39002. [PMID: 34379400 DOI: 10.1021/acsami.1c08174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The ongoing COVID-19 pandemic has clearly established how vital rapid, widely accessible diagnostic tests are in controlling infectious diseases and how difficult and slow it is to scale existing technologies. Here, we demonstrate the use of the rapid affinity pair identification via directed selection (RAPIDS) method to discover multiple affinity pairs for SARS-CoV-2 nucleocapsid protein (N-protein), a biomarker of COVID-19, from in vitro libraries in 10 weeks. The pair with the highest biomarker sensitivity was then integrated into a 10 min, vertical-flow cellulose paper test. Notably, the as-identified affinity proteins were compatible with a roll-to-roll printing process for large-scale manufacturing of tests. The test achieved 40 and 80 pM limits of detection in 1× phosphate-buffered saline (mock swab) and saliva matrices spiked with cell-culture-generated SARS-CoV-2 viruses and is also capable of detection of N-protein from characterized clinical swab samples. Hence, this work paves the way toward the mass production of cellulose paper-based assays which can address the shortages faced due to dependence on nitrocellulose and current manufacturing techniques. Further, the results reported herein indicate the promise of RAPIDS and engineered binder proteins for the timely and flexible development of clinically relevant diagnostic tests in response to emerging infectious diseases.
Collapse
Affiliation(s)
- Seunghyeon Kim
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Emma Yee
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Eric A Miller
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Yining Hao
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Dousabel M Y Tay
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Ki-Joo Sung
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Huan Jia
- Antimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore
| | - Joseph M Johnson
- Quanterix Corporation, Billerica, Massachusetts 01821, United States
| | - Mohsan Saeed
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, United States
- National Emerging Infectious Diseases Laboratories (NEIDL), Boston, Massachusetts 02188, United States
| | - Charles R Mace
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | | | - Hadley D Sikes
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Antimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore
| |
Collapse
|
6
|
Kim S, Yee E, Miller EA, Hao Y, Tay DMY, Sung KJ, Jia H, Johnson JM, Saeed M, Mace CR, Yurt DY, Sikes HD. Developing a SARS-CoV-2 Antigen Test Using Engineered Affinity Proteins. CHEMRXIV : THE PREPRINT SERVER FOR CHEMISTRY 2021:14442785. [PMID: 34013166 PMCID: PMC8132241 DOI: 10.26434/chemrxiv.14442785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 04/19/2021] [Indexed: 11/09/2022]
Abstract
The ongoing COVID-19 pandemic has clearly established how vital rapid, widely accessible diagnostic tests are in controlling infectious diseases and how difficult and slow it is to scale existing technologies. Here, we demonstrate the use of the rapid affinity pair identification via directed selection (RAPIDS) method to discover multiple affinity pairs for SARS-CoV-2 nucleocapsid protein (N-protein), a biomarker of COVID-19, from in vitro libraries in 10 weeks. The pair with the highest biomarker sensitivity was then integrated into a 10-minute, vertical-flow cellulose paper test. Notably, the as-identified affinity proteins were compatible with a roll-to-roll printing process for large-scale manufacturing of tests. The test achieved 40 pM and 80 pM limits of detection in 1×PBS (mock swab) and saliva matrices spiked with cell-culture generated SARS-CoV-2 viruses and is also capable of detection of N-protein from characterized clinical swab samples. Hence, this work paves the way towards the mass production of cellulose paper-based assays which can address the shortages faced due to dependence on nitrocellulose and current manufacturing techniques. Further, the results reported herein indicate the promise of RAPIDS and engineered binder proteins for the timely and flexible development of clinically relevant diagnostic tests in response to emerging infectious diseases.
Collapse
Affiliation(s)
- Seunghyeon Kim
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Emma Yee
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Eric A. Miller
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yining Hao
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dousabel M. Y. Tay
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ki-Joo Sung
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Huan Jia
- Antimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore
| | | | - Mohsan Saeed
- Department of Biochemistry, Boston University School of Medicine, Boston, MA 02118, USA
- National Emerging Infectious Diseases Laboratories (NEIDL), Boston, MA 02188, USA
| | - Charles R. Mace
- Department of Chemistry, Tufts University, Medford, MA 02155, USA
| | | | - Hadley D. Sikes
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Antimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore
| |
Collapse
|
7
|
Sun H, Ma L, Wang L, Xiao P, Li H, Zhou M, Song D. Research advances in hydrogen-deuterium exchange mass spectrometry for protein epitope mapping. Anal Bioanal Chem 2021; 413:2345-2359. [PMID: 33404742 DOI: 10.1007/s00216-020-03091-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/19/2020] [Accepted: 11/23/2020] [Indexed: 12/01/2022]
Abstract
With the development of biomedical technology, epitope mapping of proteins has become critical for developing and evaluating new protein drugs. The application of hydrogen-deuterium exchange for protein epitope mapping holds great potential. Although several reviews addressed the hydrogen-deuterium exchange, to date, only a few systematic reviews have focused on epitope mapping using this technology. Here, we introduce the basic principles, development history, and review research progress in hydrogen-deuterium exchange epitope mapping technology and discuss its advantages. We summarize the main hurdles in applying hydrogen-deuterium exchange epitope mapping technology, combined with relevant examples to provide specific solutions. We describe the epitope mapping of virus assemblies, disease-associated proteins, and polyclonal antibodies as examples of pattern introduction. Finally, we discuss the outlook of hydrogen-deuterium exchange epitope mapping technology. This review will help researchers studying protein epitopes to gain a more comprehensive understanding of this technology.
Collapse
Affiliation(s)
- Haofeng Sun
- National Institute of Metrology, Beijing, 100029, China
- College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Lingyun Ma
- National Institute of Metrology, Beijing, 100029, China
| | - Leyu Wang
- College of Chemistry, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Peng Xiao
- National Institute of Metrology, Beijing, 100029, China
| | - Hongmei Li
- National Institute of Metrology, Beijing, 100029, China
| | - Min Zhou
- School of Chemical and Engineering, Nanjing University of Science and Technology, Jiangsu, 210094, China.
| | - Dewei Song
- National Institute of Metrology, Beijing, 100029, China.
| |
Collapse
|
8
|
Miller EA, Sung KJ, Kongsuphol P, Baniya S, Aw-Yong HQ, Tay V, Tan Y, Kabir FM, Pang-Yeo K, Kaspriskie IG, Sikes HD. Beyond Epitope Binning: Directed in Vitro Selection of Complementary Pairs of Binding Proteins. ACS COMBINATORIAL SCIENCE 2020; 22:49-60. [PMID: 31769955 DOI: 10.1021/acscombsci.9b00176] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Many biotechnological applications require the simultaneous binding of affinity reagents to nonoverlapping target epitopes, the most prominent example being sandwich immunoassays. Typically, affinity pairs are identified via post facto functional analysis of clones that were not selected for complementarity. Here, we developed the Rapid Affinity Pair Identification via Directed Selection (RAPIDS) process, which enables the efficient identification of affinity reagents that function together as complementary pairs, from in vitro libraries of ∼109 variants. We used RAPIDS to develop highly specific affinity pairs against biomarkers of tuberculosis, Zika virus, and sepsis. Without additional trial-and-error screening, these affinity pairs exhibited utility in multiple assay formats. The RAPIDS process applies selective pressure to hundreds of thousands of potential affinity pairs to efficiently identify complementary pairs that bind to separate epitopes without binding to one another or nontargets, yielding diagnostic assays that are sensitive and specific by design.
Collapse
Affiliation(s)
- Eric A. Miller
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Ki-Joo Sung
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Patthara Kongsuphol
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| | - Subha Baniya
- Department of Biochemistry, Wellesley College, Wellesley, Massachusetts 02481, United States
| | - Hui Qi Aw-Yong
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| | - Vivian Tay
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| | - Yuxuan Tan
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| | - Farah M. Kabir
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Karl Pang-Yeo
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| | - Isabel G. Kaspriskie
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Hadley D. Sikes
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, Singapore 138602
| |
Collapse
|
9
|
Abstract
Rapidly evolving viral strains leading to epidemics and pandemics necessitates quick diagnostics and treatment to halt the progressive march of the disease. Optical biosensors like surface plasmon resonance (SPR) have emerged in recent times as a most reliable diagnostic device owing to their portability, reproducibility, sensitivity and specificity. SPR analyzes the kinetics of biomolecular interactions in a label-free manner. It has surpassed the conventional virus detection methods in its utility, particularly in medical diagnostics and healthcare. However, the requirement of high-end infrastructure setup and trained manpower are some of the roadblocks in realizing the true potential of SPR. This platform needs further improvisation in terms of simplicity, affordability and portability before it could be utilized in need-based remote areas of under-developed and developing countries with limited infrastructure.
Collapse
|