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Chen Y, Zhang L, Wu X, Sun X, Sundah NR, Wong CY, Natalia A, Tam JKC, Lim DWT, Chowbay B, Ang BT, Tang C, Loh TP, Shao H. Magnetic augmentation through multi-gradient coupling enables direct and programmable profiling of circulating biomarkers. Nat Commun 2024; 15:8410. [PMID: 39333499 PMCID: PMC11437193 DOI: 10.1038/s41467-024-52754-z] [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: 04/16/2024] [Accepted: 09/19/2024] [Indexed: 09/29/2024] Open
Abstract
Conventional magnetic biosensing technologies have reduced analytical capacity for magnetic field dimensionality and require extensive sample processing. To address these challenges, we spatially engineer 3D magnetic response gradients for direct and programmable molecular detection in native biofluids. Named magnetic augmentation through triple-gradient coupling for high-performance detection (MATCH), the technology comprises gradient-distributed magnetic nanoparticles encapsulated within responsive hydrogel pillars and suspended above a magnetic sensor array. This configuration enables multi-gradient matching to achieve optimal magnetic activation, response and transduction, respectively. Through focused activation by target biomarkers, the platform preferentially releases sensor-proximal nanoparticles, generating response gradients that complement the sensor's intrinsic detection capability. By implementing an upstream module that recognizes different biomarkers and releases universal activation molecules, the technology achieves programmable detection of various circulating biomarkers in native plasma. It bypasses conventional magnetic labeling, completes in <60 minutes and achieves sensitive detection (down to 10 RNA and 1000 protein copies). We apply the MATCH to measure RNAs and proteins directly in patient plasma, achieving accurate cancer classification.
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Affiliation(s)
- Yuan Chen
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Li Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Xingjie Wu
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Xuecheng Sun
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Noah R Sundah
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Chi Yan Wong
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Auginia Natalia
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - John K C Tam
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Darren Wan-Teck Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
- Centre for Clinician-Scientist Development, Duke-NUS Medical School, Singapore, Singapore
| | - Balram Chowbay
- Centre for Clinician-Scientist Development, Duke-NUS Medical School, Singapore, Singapore
- Clinical Pharmacology Laboratory, National Cancer Centre Singapore, Singapore, Singapore
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Beng Ti Ang
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Carol Tang
- National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- SG Enable, Innovation, Singapore, Singapore
| | - Tze Ping Loh
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
| | - Huilin Shao
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
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Liu Y, Sundah NR, Ho NRY, Shen WX, Xu Y, Natalia A, Yu Z, Seet JE, Chan CW, Loh TP, Lim BY, Shao H. Bidirectional linkage of DNA barcodes for the multiplexed mapping of higher-order protein interactions in cells. Nat Biomed Eng 2024; 8:909-923. [PMID: 38898172 DOI: 10.1038/s41551-024-01225-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 05/05/2024] [Indexed: 06/21/2024]
Abstract
Capturing the full complexity of the diverse hierarchical interactions in the protein interactome is challenging. Here we report a DNA-barcoding method for the multiplexed mapping of pairwise and higher-order protein interactions and their dynamics within cells. The method leverages antibodies conjugated with barcoded DNA strands that can bidirectionally hybridize and covalently link to linearize closely spaced interactions within individual 3D protein complexes, encoding and decoding the protein constituents and the interactions among them. By mapping protein interactions in cancer cells and normal cells, we found that tumour cells exhibit a larger diversity and abundance of protein complexes with higher-order interactions. In biopsies of human breast-cancer tissue, the method accurately identified the cancer subtype and revealed that higher-order protein interactions are associated with cancer aggressiveness.
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Affiliation(s)
- Yu Liu
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Noah R Sundah
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Nicholas R Y Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Wan Xiang Shen
- Department of Pharmacy and Pharmaceutical Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Yun Xu
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Auginia Natalia
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Zhonglang Yu
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Ju Ee Seet
- Department of Pathology, National University Hospital, Singapore, Singapore
| | - Ching Wan Chan
- Department of Surgery, National University Hospital, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tze Ping Loh
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
| | - Brian Y Lim
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.
- Department of Computer Science, School of Computing, National University of Singapore, Singapore, Singapore.
| | - Huilin Shao
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
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3
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Zhang Y, Wong CY, Lim CZJ, Chen Q, Yu Z, Natalia A, Wang Z, Pang QY, Lim SW, Loh TP, Ang BT, Tang C, Shao H. Multiplexed RNA profiling by regenerative catalysis enables blood-based subtyping of brain tumors. Nat Commun 2023; 14:4278. [PMID: 37460561 DOI: 10.1038/s41467-023-39844-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 06/29/2023] [Indexed: 07/20/2023] Open
Abstract
Current technologies to subtype glioblastoma (GBM), the most lethal brain tumor, require highly invasive brain biopsies. Here, we develop a dedicated analytical platform to achieve direct and multiplexed profiling of circulating RNAs in extracellular vesicles for blood-based GBM characterization. The technology, termed 'enzyme ZIF-8 complexes for regenerative and catalytic digital detection of RNA' (EZ-READ), leverages an RNA-responsive transducer to regeneratively convert and catalytically enhance signals from rare RNA targets. Each transducer comprises hybrid complexes - protein enzymes encapsulated within metal organic frameworks - to configure strong catalytic activity and robust protection. Upon target RNA hybridization, the transducer activates directly to liberate catalytic complexes, in a target-recyclable manner; when partitioned within a microfluidic device, these complexes can individually catalyze strong chemifluorescence reactions for digital RNA quantification. The EZ-READ platform thus enables programmable and reliable RNA detection, across different-sized RNA subtypes (miRNA and mRNA), directly in sample lysates. When clinically evaluated, the EZ-READ platform established composite signatures for accurate blood-based GBM diagnosis and subtyping.
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Affiliation(s)
- Yan Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Chi Yan Wong
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Carine Z J Lim
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Qingchang Chen
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Zhonglang Yu
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Auginia Natalia
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Zhigang Wang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Qing You Pang
- Neuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore
| | - See Wee Lim
- Neuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore
| | - Tze Ping Loh
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
| | - Beng Ti Ang
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Carol Tang
- Neuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University Singapore, Singapore, Singapore
| | - Huilin Shao
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
- National Neuroscience Institute, Singapore, Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
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Salahandish R, Hyun JE, Haghayegh F, Tabrizi HO, Moossavi S, Khetani S, Ayala‐Charca G, Berenger BM, Niu YD, Ghafar‐Zadeh E, Nezhad AS. CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206615. [PMID: 36995043 PMCID: PMC10214237 DOI: 10.1002/advs.202206615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/31/2023] [Indexed: 05/27/2023]
Abstract
The widespread accessibility of commercial/clinically-viable electrochemical diagnostic systems for rapid quantification of viral proteins demands translational/preclinical investigations. Here, Covid-Sense (CoVSense) antigen testing platform; an all-in-one electrochemical nano-immunosensor for sample-to-result, self-validated, and accurate quantification of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N)-proteins in clinical examinations is developed. The platform's sensing strips benefit from a highly-sensitive, nanostructured surface, created through the incorporation of carboxyl-functionalized graphene nanosheets, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) conductive polymers, enhancing the overall conductivity of the system. The nanoengineered surface chemistry allows for compatible direct assembly of bioreceptor molecules. CoVSense offers an inexpensive (<$2 kit) and fast/digital response (<10 min), measured using a customized hand-held reader (<$25), enabling data-driven outbreak management. The sensor shows 95% clinical sensitivity and 100% specificity (Ct<25), and overall sensitivity of 91% for combined symptomatic/asymptomatic cohort with wildtype SARS-CoV-2 or B.1.1.7 variant (N = 105, nasal/throat samples). The sensor correlates the N-protein levels to viral load, detecting high Ct values of ≈35, with no sample preparation steps, while outperforming the commercial rapid antigen tests. The current translational technology fills the gap in the workflow of rapid, point-of-care, and accurate diagnosis of COVID-19.
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Affiliation(s)
- Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Laboratory of Advanced Biotechnologies for Health Assessments (LAB‐HA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Jae Eun Hyun
- Department of Ecosystem and Public HealthFaculty of Veterinary MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Fatemeh Haghayegh
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Shirin Moossavi
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Physiology and PharmacologyUniversity of CalgaryCalgaryABT2N 1N4Canada
- International Microbiome CentreCumming School of MedicineHealth Sciences CentreUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Sultan Khetani
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Giancarlo Ayala‐Charca
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Byron M. Berenger
- Alberta Public Health LaboratoryAlberta Precision Laboratories3330 Hospital DriveCalgaryABT2N 4W4Canada
- Department of Pathology and Laboratory MedicineFaculty of MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Yan Dong Niu
- Department of Ecosystem and Public HealthFaculty of Veterinary MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Ebrahim Ghafar‐Zadeh
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Amir Sanati Nezhad
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Biomedical Engineering Graduate ProgramUniversity of CalgaryCalgaryABT2N 1N4Canada
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5
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Natalia A, Zhang L, Sundah NR, Zhang Y, Shao H. Analytical device miniaturization for the detection of circulating biomarkers. NATURE REVIEWS BIOENGINEERING 2023; 1:1-18. [PMID: 37359772 PMCID: PMC10064972 DOI: 10.1038/s44222-023-00050-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 06/28/2023]
Abstract
Diverse (sub)cellular materials are secreted by cells into the systemic circulation at different stages of disease progression. These circulating biomarkers include whole cells, such as circulating tumour cells, subcellular extracellular vesicles and cell-free factors such as DNA, RNA and proteins. The biophysical and biomolecular state of circulating biomarkers carry a rich repertoire of molecular information that can be captured in the form of liquid biopsies for disease detection and monitoring. In this Review, we discuss miniaturized platforms that allow the minimally invasive and rapid detection and analysis of circulating biomarkers, accounting for their differences in size, concentration and molecular composition. We examine differently scaled materials and devices that can enrich, measure and analyse specific circulating biomarkers, outlining their distinct detection challenges. Finally, we highlight emerging opportunities in biomarker and device integration and provide key future milestones for their clinical translation.
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Affiliation(s)
- Auginia Natalia
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Li Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Noah R. Sundah
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Yan Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Huilin Shao
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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6
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Liu B, Wang F, Chao J. Programmable Nanostructures Based on Framework-DNA for Applications in Biosensing. SENSORS (BASEL, SWITZERLAND) 2023; 23:3313. [PMID: 36992023 PMCID: PMC10051322 DOI: 10.3390/s23063313] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 06/19/2023]
Abstract
DNA has been actively utilized as bricks to construct exquisite nanostructures due to their unparalleled programmability. Particularly, nanostructures based on framework DNA (F-DNA) with controllable size, tailorable functionality, and precise addressability hold excellent promise for molecular biology studies and versatile tools for biosensor applications. In this review, we provide an overview of the current development of F-DNA-enabled biosensors. Firstly, we summarize the design and working principle of F-DNA-based nanodevices. Then, recent advances in their use in different kinds of target sensing with effectiveness have been exhibited. Finally, we envision potential perspectives on the future opportunities and challenges of biosensing platforms.
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Affiliation(s)
- Bing Liu
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
- State Key Laboratory of Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Fan Wang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, 138 Xianlin Road, Nanjing 210023, China
| | - Jie Chao
- State Key Laboratory of Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
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Snider DM, Pandit S, Coffin ML, Ebrahimi SB, Samanta D. DNA-Mediated Control of Protein Function in Semi-Synthetic Systems. Chembiochem 2022; 23:e202200464. [PMID: 36058885 DOI: 10.1002/cbic.202200464] [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: 08/10/2022] [Revised: 09/02/2022] [Indexed: 01/25/2023]
Abstract
The development of strategies for controlling protein function in a precise and predictable manner has the potential to revolutionize catalysis, diagnostics, and medicine. In this regard, the use of DNA has emerged as a powerful approach for modulating protein activity. The programmable nature of DNA allows for constructing sophisticated architectures wherein proteins can be placed with control over position, orientation, and stoichiometry. This ability is especially useful considering that the properties of proteins can be influenced by their local environment or their proximity to other functional molecules. Here, we chronicle the different strategies that have been developed to interface DNA with proteins in semi-synthetic systems. We further delineate the unique applications unlocked by the unprecedented level of structural control that DNA affords. We end by outlining outstanding challenges in the area and discuss future research directions towards potential solutions.
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Affiliation(s)
- Dylan M Snider
- Department of Chemistry, The University of Texas at Austin, 105 E 24th St, Austin, TX, 78712, USA
| | - Subrata Pandit
- Department of Chemistry, The University of Texas at Austin, 105 E 24th St, Austin, TX, 78712, USA
| | - Mackenzie L Coffin
- Department of Chemistry, The University of Texas at Austin, 105 E 24th St, Austin, TX, 78712, USA
| | - Sasha B Ebrahimi
- Drug Product Development - Steriles, GlaxoSmithKline 1250 S Collegeville Rd, Collegeville, PA 19426, USA
| | - Devleena Samanta
- Department of Chemistry, The University of Texas at Austin, 105 E 24th St, Austin, TX, 78712, USA
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