1
|
Wang Z, Wang J, Zhao Y, Jin J, Si W, Chen L, Zhang M, Zhou Y, Mao S, Zheng C, Zhang Y, Chen L, Fei P. 3D live imaging and phenotyping of CAR-T cell mediated-cytotoxicity using high-throughput Bessel oblique plane microscopy. Nat Commun 2024; 15:6677. [PMID: 39107283 PMCID: PMC11303822 DOI: 10.1038/s41467-024-51039-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024] Open
Abstract
Clarification of the cytotoxic function of T cells is crucial for understanding human immune responses and immunotherapy procedures. Here, we report a high-throughput Bessel oblique plane microscopy (HBOPM) platform capable of 3D live imaging and phenotyping of chimeric antigen receptor (CAR)-modified T-cell cytotoxicity against cancer cells. The HBOPM platform has the following characteristics: an isotropic subcellular resolution of 320 nm, large-scale scouting over 400 interacting cell pairs, long-term observation across 5 hours, and quantitative analysis of the Terabyte-scale 3D, multichannel, time-lapse image datasets. Using this advanced microscopy platform, several key subcellular events in CAR-T cells are captured and comprehensively analyzed; these events include the instantaneous formation of immune synapses and the sustained changes in the microtubing morphology. Furthermore, we identify the actin retrograde flow speed, the actin depletion coefficient, the microtubule polarization and the contact area of the CAR-T/target cell conjugates as essential parameters strongly correlated with CAR-T-cell cytotoxic function. Our approach will be useful for establishing criteria for quantifying T-cell function in individual patients for all T-cell-based immunotherapies.
Collapse
Affiliation(s)
- Zhaofei Wang
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jie Wang
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yuxuan Zhao
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jin Jin
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wentian Si
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Longbiao Chen
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Man Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Zhou
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shiqi Mao
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Chunhong Zheng
- International Cancer Institute, Peking University Cancer Hospital and Institute, Peking University, Beijing, China
| | - Yicheng Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liting Chen
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Peng Fei
- School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
| |
Collapse
|
2
|
Huang X, Meng L, Cao G, Prominski A, Hu Y, Yang C, Chen M, Shi J, Gallagher C, Cao T, Yue J, Huang J, Tian B. Multimodal probing of T-cell recognition with hexapod heterostructures. Nat Methods 2024; 21:857-867. [PMID: 38374262 DOI: 10.1038/s41592-023-02165-7] [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: 07/04/2022] [Accepted: 12/26/2023] [Indexed: 02/21/2024]
Abstract
Studies using antigen-presenting systems at the single-cell and ensemble levels can provide complementary insights into T-cell signaling and activation. Although crucial for advancing basic immunology and immunotherapy, there is a notable absence of synthetic material toolkits that examine T cells at both levels, and especially those capable of single-molecule-level manipulation. Here we devise a biomimetic antigen-presenting system (bAPS) for single-cell stimulation and ensemble modulation of T-cell recognition. Our bAPS uses hexapod heterostructures composed of a submicrometer cubic hematite core (α-Fe2O3) and nanostructured silica branches with diverse surface modifications. At single-molecule resolution, we show T-cell activation by a single agonist peptide-loaded major histocompatibility complex; distinct T-cell receptor (TCR) responses to structurally similar peptides that differ by only one amino acid; and the superior antigen recognition sensitivity of TCRs compared with that of chimeric antigen receptors (CARs). We also demonstrate how the magnetic field-induced rotation of hexapods amplifies the immune responses in suspended T and CAR-T cells. In addition, we establish our bAPS as a precise and scalable method for identifying stimulatory antigen-specific TCRs at the single-cell level. Thus, our multimodal bAPS represents a unique biointerface tool for investigating T-cell recognition, signaling and function.
Collapse
Affiliation(s)
- Xiaodan Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
| | - Lingyuan Meng
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
| | - Guoshuai Cao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
| | | | - Yifei Hu
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
- Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Chuanwang Yang
- The James Franck Institute, University of Chicago, Chicago, IL, USA
| | - Min Chen
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
| | - Jiuyun Shi
- Department of Chemistry, University of Chicago, Chicago, IL, USA
| | | | - Thao Cao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
| | - Jiping Yue
- Department of Chemistry, University of Chicago, Chicago, IL, USA
| | - Jun Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA.
| | - Bozhi Tian
- Department of Chemistry, University of Chicago, Chicago, IL, USA.
- The James Franck Institute, University of Chicago, Chicago, IL, USA.
- The Institute for Biophysical Dynamics, University of Chicago, Chicago, IL, USA.
| |
Collapse
|
3
|
Rochussen AM, Lippert AH, Griffiths GM. Imaging the T-cell receptor: new approaches, new insights. Curr Opin Immunol 2023; 82:102309. [PMID: 37011462 DOI: 10.1016/j.coi.2023.102309] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 04/03/2023]
Abstract
T cells recognize pathogenic antigens via the T-cell antigen receptor (TCR). This protein complex binds to antigen fragments on the surface of antigen-presenting cells. To understand how cellular activation can ensue rapidly from molecular recognition, the localization and distribution of the TCR on the surface of the resting T cell are of particular importance. Conflicting results regarding TCR distribution have emerged from recent studies using a range of imaging techniques, including total internal reflection and single-molecule localization microscopy modalities. Here, we review the differing results and the potential biases inherent in differing imaging approaches. In addition, we review studies showing the impact of differing imaging surfaces on T-cell activation.
Collapse
|
4
|
Shi Y, Tabet JS, Milkie DE, Daugird TA, Yang CQ, Giovannucci A, Legant WR. Smart Lattice Light Sheet Microscopy for imaging rare and complex cellular events. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531517. [PMID: 36945393 PMCID: PMC10028917 DOI: 10.1101/2023.03.07.531517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Light sheet microscopes enable rapid, high-resolution imaging of biological specimens; however, biological processes span a variety of spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality and constant imaging parameters. To overcome this limitation, we present smartLLSM, a microscope that incorporates AI-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light sheet microscopy. We apply this technology to two major scenarios. First, we demonstrate that the instrument provides population-level statistics of cell cycle states across thousands of cells on a coverslip. Second, we show that by using real-time image feedback to switch between imaging modes, the instrument autonomously captures multicolor 3D datasets or 4D time-lapse movies of dividing cells at rates that dramatically exceed human capabilities. Quantitative image analysis on high-content + high-throughput datasets reveal kinetochore and chromosome dynamics in dividing cells and determine the effects of drug perturbation on cells in specific mitotic stages. This new methodology enables efficient detection of rare events within a heterogeneous cell population and records these processes with high spatiotemporal 4D imaging over statistically significant replicates.
Collapse
|
5
|
BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations. NPJ Biofilms Microbiomes 2022; 8:99. [PMID: 36529755 PMCID: PMC9760640 DOI: 10.1038/s41522-022-00362-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-lapse images is essential for observing individual cell behaviors in large bacterial communities called biofilms. Recent progress in machine-learning-based image analysis is providing this capability with ever-increasing accuracy. Leveraging the capabilities of deep convolutional neural networks (CNNs), we recently developed bacterial cell morphometry in 3D (BCM3D), an integrated image analysis pipeline that combines deep learning with conventional image analysis to detect and segment single biofilm-dwelling cells in 3D fluorescence images. While the first release of BCM3D (BCM3D 1.0) achieved state-of-the-art 3D bacterial cell segmentation accuracies, low signal-to-background ratios (SBRs) and images of very dense biofilms remained challenging. Here, we present BCM3D 2.0 to address this challenge. BCM3D 2.0 is entirely complementary to the approach utilized in BCM3D 1.0. Instead of training CNNs to perform voxel classification, we trained CNNs to translate 3D fluorescence images into intermediate 3D image representations that are, when combined appropriately, more amenable to conventional mathematical image processing than a single experimental image. Using this approach, improved segmentation results are obtained even for very low SBRs and/or high cell density biofilm images. The improved cell segmentation accuracies in turn enable improved accuracies of tracking individual cells through 3D space and time. This capability opens the door to investigating time-dependent phenomena in bacterial biofilms at the cellular level.
Collapse
|
6
|
Colin-York H, Heddleston J, Wait E, Karedla N, deSantis M, Khuon S, Chew TL, Sbalzarini IF, Fritzsche M. Quantifying Molecular Dynamics within Complex Cellular Morphologies using LLSM-FRAP. SMALL METHODS 2022; 6:e2200149. [PMID: 35344286 DOI: 10.1002/smtd.202200149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Indexed: 06/14/2023]
Abstract
Quantifying molecular dynamics within the context of complex cellular morphologies is essential toward understanding the inner workings and function of cells. Fluorescence recovery after photobleaching (FRAP) is one of the most broadly applied techniques to measure the reaction diffusion dynamics of molecules in living cells. FRAP measurements typically restrict themselves to single-plane image acquisition within a subcellular-sized region of interest due to the limited temporal resolution and undesirable photobleaching induced by 3D fluorescence confocal or widefield microscopy. Here, an experimental and computational pipeline combining lattice light sheet microscopy, FRAP, and numerical simulations, offering rapid and minimally invasive quantification of molecular dynamics with respect to 3D cell morphology is presented. Having the opportunity to accurately measure and interpret the dynamics of molecules in 3D with respect to cell morphology has the potential to reveal unprecedented insights into the function of living cells.
Collapse
Affiliation(s)
- Huw Colin-York
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, OX3 7LF, UK
| | - John Heddleston
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA
| | - Eric Wait
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA
| | - Narain Karedla
- Rosalind Franklin Institute, Harwell Campus, Didcot, OX11 0FA, UK
| | - Michael deSantis
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA
| | - Satya Khuon
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA
| | - Teng-Leong Chew
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA
| | - Ivo F Sbalzarini
- Faculty of Computer Science, Technische Universität Dresden, 01187, Dresden, Germany
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
| | - Marco Fritzsche
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, OX3 7LF, UK
- Rosalind Franklin Institute, Harwell Campus, Didcot, OX11 0FA, UK
| |
Collapse
|
7
|
T cell activation and effector function in the human Jurkat T cell model. Methods Cell Biol 2022. [PMID: 37516527 DOI: 10.1016/bs.mcb.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In order to understand T cell function, it is necessary to completely decipher the molecular dynamics underlying T cell activation and effector function. In vitro easy-to-handle cellular models are valuable tools to study intracellular molecular mechanisms in live cells. The CD4 T cell line Jurkat (JK) has been widely employed to investigate intracellular signaling leading to T cell activation in response to T cell receptor (TCR) triggering. Here, we describe diverse, complementary protocols to evaluate the TCR- and costimulation-mediated T cell activation, as well as the immunological synapse assembly and cytokine production occurring as a consequence of successful early activation events. This in vitro model is extremely useful to address molecular mechanisms operating during T cell activation and effector function acting in diverse pathophysiological scenarios.
Collapse
|
8
|
Duckworth BC, Qin RZ, Groom JR. Spatial determinates of effector and memory CD8 + T cell fates. Immunol Rev 2021; 306:76-92. [PMID: 34882817 DOI: 10.1111/imr.13044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 11/06/2021] [Indexed: 12/17/2022]
Abstract
The lymph node plays a critical role in mounting an adaptive immune response to infection, clearance of foreign pathogens, and cancer immunosurveillance. Within this complex structure, intranodal migration is vital for CD8+ T cell activation and differentiation. Combining tissue clearing and volumetric light sheet fluorescent microscopy of intact lymph nodes has allowed us to explore the spatial regulation of T cell fates. This has determined that short-lived effector (TSLEC ) are imprinted in peripheral lymph node interfollicular regions, due to CXCR3 migration. In contrast, stem-like memory cell (TSCM ) differentiation is determined in the T cell paracortex. Here, we detail the inflammatory and chemokine regulators of spatially restricted T cell differentiation, with a focus on how to promote TSCM . We propose a default pathway for TSCM differentiation due to CCR7-directed segregation of precursors away from the inflammatory effector niche. Although volumetric imaging has revealed the consequences of intranodal migration, we still lack knowledge of how this is orchestrated within a complex chemokine environment. Toward this goal, we highlight the potential of combining microfluidic chambers with pre-determined complexity and subcellular resolution microscopy.
Collapse
Affiliation(s)
- Brigette C Duckworth
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
| | - Raymond Z Qin
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
| | - Joanna R Groom
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
| |
Collapse
|
9
|
Zhang J, Zhang M, Wang Y, Donarski E, Gahlmann A. Optically Accessible Microfluidic Flow Channels for Noninvasive High-Resolution Biofilm Imaging Using Lattice Light Sheet Microscopy. J Phys Chem B 2021; 125:12187-12196. [PMID: 34714647 DOI: 10.1021/acs.jpcb.1c07759] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Imaging platforms that enable long-term, high-resolution imaging of biofilms are required to study cellular level dynamics within bacterial biofilms. By combining high spatial and temporal resolution and low phototoxicity, lattice light sheet microscopy (LLSM) has made critical contributions to the study of cellular dynamics. However, the power of LLSM has not yet been leveraged for biofilm research because the open-on-top imaging geometry using water-immersion objective lenses is not compatible with living bacterial specimens; bacterial growth on the microscope's objective lenses makes long-term time-lapse imaging impossible and raises considerable safety concerns for microscope users. To make LLSM compatible with pathogenic bacterial specimens, we developed hermetically sealed, but optically accessible, microfluidic flow channels that can sustain bacterial biofilm growth for multiple days under precisely controllable physical and chemical conditions. To generate a liquid- and gas-tight seal, we glued a thin polymer film across a 3D-printed channel, where the top wall had been omitted. We achieved negligible optical aberrations by using polymer films that precisely match the refractive index of water. Bacteria do not adhere to the polymer film itself, so that the polymer window provides unobstructed optical access to the channel interior. Inside the flow channels, biofilms can be grown on arbitrary, even nontransparent, surfaces. By integrating this flow channel with LLSM, we were able to record the growth of S. oneidensis MR-1 biofilms over several days at cellular resolution without any observable phototoxicity or photodamage.
Collapse
Affiliation(s)
- Ji Zhang
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Mingxing Zhang
- School of Materials Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China
| | - Yibo Wang
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Eric Donarski
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Andreas Gahlmann
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, United States.,Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia 22903, United States
| |
Collapse
|
10
|
Staggered starts in the race to T cell activation. Trends Immunol 2021; 42:994-1008. [PMID: 34649777 PMCID: PMC7612485 DOI: 10.1016/j.it.2021.09.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/12/2021] [Accepted: 09/13/2021] [Indexed: 02/07/2023]
Abstract
How T lymphocytes tune their responses to different strengths of stimulation is a fundamental question in immunology. Recent work using new optogenetic, single-cell genomic, and live-imaging approaches has revealed that stimulation strength controls the rate of individual cell responses within a population. Moreover, these responses have been found to use shared molecular programs, regardless of stimulation strength. However, additional data indicate that stimulation duration or cytokine feedback can impact later gene expression phenotypes of activated cells. In-depth molecular studies have suggested mechanisms by which stimulation strength might modulate the probability of T cell activation. This emerging model allows activating T cells to achieve a wide range of population responses through probabilistic control within individual cells.
Collapse
|
11
|
Potcoava M, Mann C, Art J, Alford S. Spatio-temporal performance in an incoherent holography lattice light-sheet microscope (IHLLS). OPTICS EXPRESS 2021; 29:23888-23901. [PMID: 34614645 PMCID: PMC8327923 DOI: 10.1364/oe.425069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/29/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
We propose an Incoherent holography detection technique for lattice light-sheet (IHLLS) systems for 3D imaging without moving either the sample stage or the detection microscope objective, providing intrinsic instrumental simplicity and high accuracy when compared to the original LLS schemes. The approach is based on a modified dual-lens Fresnel Incoherent Correlation Holography technique to produce a complex hologram and to provide the focal distance needed for the hologram reconstruction. We report such an IHLLS microscope, including characterization of the sensor performance, and demonstrate a significant contrast improvement on beads and neuronal structures within a biological test sample as well as quantitative phase imaging. The IHLLS has similar or better transverse performances when compared to the LLS technique. In addition, the IHLLS allows for volume reconstruction from fewer z-galvo displacements, thus facilitating faster volume acquisition.
Collapse
Affiliation(s)
- Mariana Potcoava
- Department of Anatomy and Cell Biology, University of Illinois at Chicago, 808 South Wood Street, Chicago, IL 60612, USA
| | - Christopher Mann
- Department of Applied Physics and Materials Science, Northern Arizona University, Flagstaff, Arizona 86011, USA
- Center for Materials Interfaces in Research and Development, Northern Arizona University, Flagstaff, Arizona 86011, USA
| | - Jonathan Art
- Department of Anatomy and Cell Biology, University of Illinois at Chicago, 808 South Wood Street, Chicago, IL 60612, USA
| | - Simon Alford
- Department of Anatomy and Cell Biology, University of Illinois at Chicago, 808 South Wood Street, Chicago, IL 60612, USA
| |
Collapse
|
12
|
Chen M, Rosenberg J, Cai X, Lee ACH, Shi J, Nguyen M, Wignakumar T, Mirle V, Edobor AJ, Fung J, Donington JS, Shanmugarajah K, Lin Y, Chang E, Randall G, Penaloza-MacMaster P, Tian B, Madariaga ML, Huang J. Nanotraps for the containment and clearance of SARS-CoV-2. MATTER 2021; 4:2059-2082. [PMID: 33907732 PMCID: PMC8062026 DOI: 10.1016/j.matt.2021.04.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/16/2021] [Accepted: 04/08/2021] [Indexed: 05/17/2023]
Abstract
SARS-CoV-2 enters host cells through its viral spike protein binding to angiotensin-converting enzyme 2 (ACE2) receptors on the host cells. Here, we show that functionalized nanoparticles, termed "Nanotraps," completely inhibited SARS-CoV-2 infection by blocking the interaction between the spike protein of SARS-CoV-2 and the ACE2 of host cells. The liposomal-based Nanotrap surfaces were functionalized with either recombinant ACE2 proteins or anti-SARS-CoV-2 neutralizing antibodies and phagocytosis-specific phosphatidylserines. The Nanotraps effectively captured SARS-CoV-2 and completely blocked SARS-CoV-2 infection to ACE2-expressing human cell lines and primary lung cells; the phosphatidylserine triggered subsequent phagocytosis of the virus-bound, biodegradable Nanotraps by macrophages, leading to the clearance of pseudotyped and authentic virus in vitro. Furthermore, the Nanotraps demonstrated an excellent biosafety profile in vitro and in vivo. Finally, the Nanotraps inhibited pseudotyped SARS-CoV-2 infection in live human lungs in an ex vivo lung perfusion system. In summary, Nanotraps represent a new nanomedicine for the inhibition of SARS-CoV-2 infection.
Collapse
Affiliation(s)
- Min Chen
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Jillian Rosenberg
- Committee on Cancer Biology, University of Chicago, Chicago, IL 60637, USA
| | - Xiaolei Cai
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | | | - Jiuyun Shi
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Mindy Nguyen
- Chicago Immunoengineering Innovation Center, Chicago, IL 60637, USA
| | | | - Vikranth Mirle
- Department of Surgery, University of Chicago, Chicago, IL 60637, USA
| | | | - John Fung
- Department of Surgery, University of Chicago, Chicago, IL 60637, USA
| | | | | | - Yiliang Lin
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Eugene Chang
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Glenn Randall
- Department of Microbiology, Ricketts Laboratory, University of Chicago, Chicago, IL, USA
| | | | - Bozhi Tian
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | | | - Jun Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Committee on Cancer Biology, University of Chicago, Chicago, IL 60637, USA
| |
Collapse
|
13
|
Jing H, Pálmai M, Saed B, George A, Snee PT, Hu YS. Cytosolic delivery of membrane-penetrating QDs into T cell lymphocytes: implications in immunotherapy and drug delivery. NANOSCALE 2021; 13:5519-5529. [PMID: 33688882 PMCID: PMC8029070 DOI: 10.1039/d0nr08362c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
We report single-particle characterization of membrane-penetrating semiconductor quantum dots (QDs) in T cell lymphocytes. We functionalized water-soluble CdSe/CdZnS QDs with a cell-penetrating peptide composed of an Asp-Ser-Ser (DSS) repeat sequence. DSS and peptide-free control QDs displayed concentration-dependent internalization. Intensity profiles from single-particle imaging revealed a propensity of DSS-QDs to maintain a monomeric state in the T cell cytosol, whereas control QDs formed pronounced clusters. Single-particle tracking showed a direct correlation between individual QD clusters' mobility and aggregation state. A significant portion of control QDs colocalized with an endosome marker inside the T cells, while the percentage of DSS-QDs colocalized dropped to 9%. Endocytosis inhibition abrogated the internalization of control QDs, while DSS-QD internalization only mildly decreased, suggesting an alternative cell-entry mechanism. Using 3D single-particle tracking, we captured the rapid membrane-penetrating activity of a DSS-QD. The ability to characterize membrane penetrating activities in live T cells creates inroads for the optimization of gene therapy and drug delivery through the use of novel nanomaterials.
Collapse
Affiliation(s)
- Haoran Jing
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois at Chicago, Chicago, IL 60607-7061, USA.
| | - Marcell Pálmai
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois at Chicago, Chicago, IL 60607-7061, USA.
| | - Badeia Saed
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois at Chicago, Chicago, IL 60607-7061, USA.
| | - Anne George
- Department of Oral Biology, College of Dentistry, University of Illinois at Chicago, Chicago, IL 60612-7211, USA
| | - Preston T Snee
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois at Chicago, Chicago, IL 60607-7061, USA.
| | - Ying S Hu
- Department of Chemistry, College of Liberal Arts and Sciences, University of Illinois at Chicago, Chicago, IL 60607-7061, USA.
| |
Collapse
|
14
|
Schneider F, Colin-York H, Fritzsche M. Quantitative Bio-Imaging Tools to Dissect the Interplay of Membrane and Cytoskeletal Actin Dynamics in Immune Cells. Front Immunol 2021; 11:612542. [PMID: 33505401 PMCID: PMC7829180 DOI: 10.3389/fimmu.2020.612542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 11/23/2020] [Indexed: 12/13/2022] Open
Abstract
Cellular function is reliant on the dynamic interplay between the plasma membrane and the actin cytoskeleton. This critical relationship is of particular importance in immune cells, where both the cytoskeleton and the plasma membrane work in concert to organize and potentiate immune signaling events. Despite their importance, there remains a critical gap in understanding how these respective dynamics are coupled, and how this coupling in turn may influence immune cell function from the bottom up. In this review, we highlight recent optical technologies that could provide strategies to investigate the simultaneous dynamics of both the cytoskeleton and membrane as well as their interplay, focusing on current and future applications in immune cells. We provide a guide of the spatio-temporal scale of each technique as well as highlighting novel probes and labels that have the potential to provide insights into membrane and cytoskeletal dynamics. The quantitative biophysical tools presented here provide a new and exciting route to uncover the relationship between plasma membrane and cytoskeletal dynamics that underlies immune cell function.
Collapse
Affiliation(s)
- Falk Schneider
- Medical Research Council (MRC) Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Huw Colin-York
- Medical Research Council (MRC) Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, United Kingdom
| | - Marco Fritzsche
- Medical Research Council (MRC) Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, United Kingdom
- Rosalind Franklin Institute, Harwell Campus, Didcot, United Kingdom
| |
Collapse
|
15
|
Abstract
Chimeric antigen receptor-T (CAR-T) cell therapy is a promising frontier of immunoengineering and cancer immunotherapy. Methods that detect, quantify, track, and visualize the CAR, have catalyzed the rapid advancement of CAR-T cell therapy from preclinical models to clinical adoption. For instance, CAR-staining/labeling agents have enabled flow cytometry analysis, imaging applications, cell sorting, and high-dimensional clinical profiling. Molecular assays, such as quantitative polymerase chain reaction, integration site analysis, and RNA-sequencing, have characterized CAR transduction, expression, and in vivo CAR-T cell expansion kinetics. In vitro visualization methods, including confocal and total internal reflection fluorescence microscopy, have captured the molecular details underlying CAR immunological synapse formation, signaling, and cytotoxicity. In vivo tracking methods, including two-photon microscopy, bioluminescence imaging, and positron emission tomography scanning, have monitored CAR-T cell biodistribution across blood, tissue, and tumor. Here, we review the plethora of CAR detection methods, which can operate at the genomic, transcriptomic, proteomic, and organismal levels. For each method, we discuss: (1) what it measures; (2) how it works; (3) its scientific and clinical importance; (4) relevant examples of its use; (5) specific protocols for CAR detection; and (6) its strengths and weaknesses. Finally, we consider current scientific and clinical needs in order to provide future perspectives for improved CAR detection.
Collapse
Affiliation(s)
- Yifei Hu
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
- Pritzker School of Medicine, University of Chicago, Chicago, IL, United States
| | - Jun Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States
| |
Collapse
|