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Liu L, Limsakul P, Meng X, Huang Y, Harrison RES, Huang TS, Shi Y, Yu Y, Charupanit K, Zhong S, Lu S, Zhang J, Chien S, Sun J, Wang Y. Integration of FRET and sequencing to engineer kinase biosensors from mammalian cell libraries. Nat Commun 2021; 12:5031. [PMID: 34413312 PMCID: PMC8376904 DOI: 10.1038/s41467-021-25323-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 07/30/2021] [Indexed: 01/01/2023] Open
Abstract
The limited sensitivity of Förster Resonance Energy Transfer (FRET) biosensors hinders their broader applications. Here, we develop an approach integrating high-throughput FRET sorting and next-generation sequencing (FRET-Seq) to identify sensitive biosensors with varying substrate sequences from large-scale libraries directly in mammalian cells, utilizing the design of self-activating FRET (saFRET) biosensor. The resulting biosensors of Fyn and ZAP70 kinases exhibit enhanced performance and enable the dynamic imaging of T-cell activation mediated by T cell receptor (TCR) or chimeric antigen receptor (CAR), revealing a highly organized ZAP70 subcellular activity pattern upon TCR but not CAR engagement. The ZAP70 biosensor elucidates the role of immunoreceptor tyrosine-based activation motif (ITAM) in affecting ZAP70 activation to regulate CAR functions. A saFRET biosensor-based high-throughput drug screening (saFRET-HTDS) assay further enables the identification of an FDA-approved cancer drug, Sunitinib, that can be repurposed to inhibit ZAP70 activity and autoimmune-disease-related T-cell activation.
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Affiliation(s)
- Longwei Liu
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Praopim Limsakul
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
- Center of Excellence for Trace Analysis and Biosensor, Division of Physical Science, Faculty of Science, Prince of Songkla University, Songkhla, Thailand
| | - Xianhui Meng
- Department of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, P.R. China
| | - Yan Huang
- Department of Chemistry and Chemical Engineering, Hunan University, Changsha, P.R. China
| | - Reed E S Harrison
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Tse-Shun Huang
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
- BioLegend, San Diego, CA, USA
| | - Yiwen Shi
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Yiyan Yu
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Krit Charupanit
- Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Sheng Zhong
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Shaoying Lu
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
| | - Jin Zhang
- Department of Pharmacology, University of California, San Diego, CA, USA
| | - Shu Chien
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, CA, USA
| | - Jie Sun
- Department of Cell Biology and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, P.R. China.
| | - Yingxiao Wang
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, CA, USA.
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Liu L, He F, Yu Y, Wang Y. Application of FRET Biosensors in Mechanobiology and Mechanopharmacological Screening. Front Bioeng Biotechnol 2020; 8:595497. [PMID: 33240867 PMCID: PMC7680962 DOI: 10.3389/fbioe.2020.595497] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 10/19/2020] [Indexed: 12/15/2022] Open
Abstract
Extensive studies have shown that cells can sense and modulate the biomechanical properties of the ECM within their resident microenvironment. Thus, targeting the mechanotransduction signaling pathways provides a promising way for disease intervention. However, how cells perceive these mechanical cues of the microenvironment and transduce them into biochemical signals remains to be answered. Förster or fluorescence resonance energy transfer (FRET) based biosensors are a powerful tool that can be used in live-cell mechanotransduction imaging and mechanopharmacological drug screening. In this review, we will first introduce FRET principle and FRET biosensors, and then, recent advances on the integration of FRET biosensors and mechanobiology in normal and pathophysiological conditions will be discussed. Furthermore, we will summarize the current applications and limitations of FRET biosensors in high-throughput drug screening and the future improvement of FRET biosensors. In summary, FRET biosensors have provided a powerful tool for mechanobiology studies to advance our understanding of how cells and matrices interact, and the mechanopharmacological screening for disease intervention.
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Affiliation(s)
| | | | | | - Yingxiao Wang
- Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, United States
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3
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Multifocal fluorescence microscope for fast optical recordings of neuronal action potentials. Biophys J 2015; 108:520-9. [PMID: 25650920 DOI: 10.1016/j.bpj.2014.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 10/28/2014] [Accepted: 12/03/2014] [Indexed: 11/21/2022] Open
Abstract
In recent years, optical sensors for tracking neural activity have been developed and offer great utility. However, developing microscopy techniques that have several kHz bandwidth necessary to reliably capture optically reported action potentials (APs) at multiple locations in parallel remains a significant challenge. To our knowledge, we describe a novel microscope optimized to measure spatially distributed optical signals with submillisecond and near diffraction-limit resolution. Our design uses a spatial light modulator to generate patterned illumination to simultaneously excite multiple user-defined targets. A galvanometer driven mirror in the emission path streaks the fluorescence emanating from each excitation point during the camera exposure, using unused camera pixels to capture time varying fluorescence at rates that are ∼1000 times faster than the camera's native frame rate. We demonstrate that this approach is capable of recording Ca(2+) transients resulting from APs in neurons labeled with the Ca(2+) sensor Oregon Green Bapta-1 (OGB-1), and can localize the timing of these events with millisecond resolution. Furthermore, optically reported APs can be detected with the voltage sensitive dye DiO-DPA in multiple locations within a neuron with a signal/noise ratio up to ∼40, resolving delays in arrival time along dendrites. Thus, the microscope provides a powerful tool for photometric measurements of dynamics requiring submillisecond sampling at multiple locations.
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Michelini E, Cevenini L, Mezzanotte L, Coppa A, Roda A. Cell-based assays: fuelling drug discovery. Anal Bioanal Chem 2010; 398:227-38. [PMID: 20623273 DOI: 10.1007/s00216-010-3933-z] [Citation(s) in RCA: 125] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2010] [Revised: 06/16/2010] [Accepted: 06/16/2010] [Indexed: 12/15/2022]
Abstract
It has been estimated that over a billion dollars in resources can be consumed to obtain clinical approval, and only a few new chemical entities are approved by the US Food and Drug Administration (FDA) each year. Therefore it is of utmost importance to obtain the maximum amount of information about biological activity, toxicological profile, biochemical mechanisms, and off-target interactions of drug-candidate leads in the earliest stages of drug discovery. Cell-based assays, because of their peculiar advantages of predictability, possibility of automation, multiplexing, and miniaturization, seem the most appealing tool for the high demands of the early stages of the drug-discovery process. Nevertheless, cellular screening, relying on different strategies ranging from reporter gene technology to protein fragment complementation assays, still presents a variety of challenges. This review focuses on main advantages and limitations of different cell-based approaches, and future directions and trends in this fascinating field.
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Affiliation(s)
- Elisa Michelini
- Department of Pharmaceutical Sciences, University of Bologna, Via Mentana, 7, 40126 Bologna, Italy
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Jia Y, Gu XJ, Brinker A, Warmuth M. Measuring the tyrosine kinase activity: a review of biochemical and cellular assay technologies. Expert Opin Drug Discov 2008; 3:959-78. [DOI: 10.1517/17460441.3.8.959] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Yong Jia
- Group Leader Genomics Institute of the Novartis Research Foundation, Department of Kinase Biology, 10675 John J. Hopkins Dr, San Diego, CA 92121, USA ;
| | - Xiang-ju Gu
- Group Leader Genomics Institute of the Novartis Research Foundation, Department of Lead Discovery, 10675 John J. Hopkins Dr, San Diego, CA 92121, USA
| | - Achim Brinker
- Associate Director Genomics Institute of the Novartis Research Foundation, Department of Lead Discovery, 10675 John J. Hopkins Dr, San Diego, CA 92121, USA
| | - Markus Warmuth
- Director Genomics Institute of the Novartis Research Foundation, Department of Kinase Biology, 10675 John J. Hopkins Dr, San Diego, CA 92121, USA
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Inglese J, Johnson RL, Simeonov A, Xia M, Zheng W, Austin CP, Auld DS. High-throughput screening assays for the identification of chemical probes. Nat Chem Biol 2007; 3:466-79. [PMID: 17637779 DOI: 10.1038/nchembio.2007.17] [Citation(s) in RCA: 434] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
High-throughput screening (HTS) assays enable the testing of large numbers of chemical substances for activity in diverse areas of biology. The biological responses measured in HTS assays span isolated biochemical systems containing purified receptors or enzymes to signal transduction pathways and complex networks functioning in cellular environments. This Review addresses factors that need to be considered when implementing assays for HTS and is aimed particularly at investigators new to this field. We discuss assay design strategies, the major detection technologies and examples of HTS assays for common target classes, cellular pathways and simple cellular phenotypes. We conclude with special considerations for configuring sensitive, robust, informative and economically feasible HTS assays.
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MESH Headings
- Animals
- Catalysis
- Chemistry, Pharmaceutical/instrumentation
- Chemistry, Pharmaceutical/methods
- Drug Design
- Drug Evaluation, Preclinical/instrumentation
- Drug Evaluation, Preclinical/methods
- Enzymes/chemistry
- Humans
- Ions
- Kinetics
- Models, Biological
- Models, Chemical
- Receptors, G-Protein-Coupled/metabolism
- Signal Transduction
- Technology, Pharmaceutical/instrumentation
- Technology, Pharmaceutical/methods
- Transcription, Genetic
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Affiliation(s)
- James Inglese
- US National Institutes of Health Chemical Genomics Center, National Institutes of Health, 9800 Medical Center Drive, Bethesda, Maryland 20892-3370, USA.
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Widenbrant MJO, Rajadas J, Sutardja C, Fuller GG. Lipid-induced beta-amyloid peptide assemblage fragmentation. Biophys J 2007; 91:4071-80. [PMID: 17098805 PMCID: PMC1635663 DOI: 10.1529/biophysj.106.085944] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Alzheimer's disease is the most common cause of dementia and is widely believed to be due to the accumulation of beta-amyloid peptides (Abeta) and their interaction with the cell membrane. Abetas are hydrophobic peptides derived from the amyloid precursor proteins by proteolytic cleavage. After cleavage, these peptides are involved in a self-assembly-triggered conformational change. They are transformed into structures that bind to the cell membrane, causing cellular degeneration. However, it is not clear how these peptide assemblages disrupt the structural and functional integrity of the membrane. Membrane fluidity is one of the important parameters involved in pathophysiology of disease-affected cells. Probing the Abeta aggregate-lipid interactions will help us understand these processes with structural detail. Here we show that a fluid lipid monolayer develop immobile domains upon interaction with Abeta aggregates. Atomic force microscopy and transmission electron microscopy data indicate that peptide fibrils are fragmented into smaller nano-assemblages when interacting with the membrane lipids. Our findings could initiate reappraisal of the interactions between lipid assemblages and Abeta aggregates involved in Alzheimer's disease.
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Auld D, Simeonov A. Literature Search and Review. Assay Drug Dev Technol 2006. [DOI: 10.1089/adt.2006.4.511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Doug Auld
- National Institutes of Health, Bethesda, MD
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