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Nguyen LTH, Zhang J, Rima XY, Wang X, Kwak KJ, Okimoto T, Amann J, Yoon MJ, Shukuya T, Chiang CL, Walters N, Ma Y, Belcher D, Li H, Palmer AF, Carbone DP, Lee LJ, Reátegui E. An immunogold single extracellular vesicular RNA and protein ( Au SERP) biochip to predict responses to immunotherapy in non-small cell lung cancer patients. J Extracell Vesicles 2022; 11:e12258. [PMID: 36093740 PMCID: PMC9465631 DOI: 10.1002/jev2.12258] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 06/15/2022] [Accepted: 07/17/2022] [Indexed: 11/21/2022] Open
Abstract
Conventional PD‐L1 immunohistochemical tissue biopsies only predict 20%–40% of non‐small cell lung cancer (NSCLC) patients that will respond positively to anti‐PD‐1/PD‐L1 immunotherapy. Herein, we present an immunogold biochip to quantify single extracellular vesicular RNA and protein (AuSERP) as a non‐invasive alternative. With only 20 μl of purified serum, PD‐1/PD‐L1 proteins on the surface of extracellular vesicles (EVs) and EV PD‐1/PD‐L1 messenger RNA (mRNA) cargo were detected at a single‐vesicle resolution and exceeded the sensitivities of their bulk‐analysis conventional counterparts, ELISA and qRT‐PCR, by 1000 times. By testing a cohort of 27 non‐responding and 27 responding NSCLC patients, AuSERP indicated that the single‐EV mRNA biomarkers surpass the single‐EV protein biomarkers in predicting patient responses to immunotherapy. Dual single‐EV PD‐1/PD‐L1 mRNA detection differentiated responders from non‐responders with an accuracy of 72.2% and achieved an NSCLC diagnosis accuracy of 93.2%, suggesting the potential for AuSERP to provide enhanced immunotherapy predictions and cancer diagnoses within the clinical setting.
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Affiliation(s)
- Luong T H Nguyen
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Jingjing Zhang
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Xilal Y Rima
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Xinyu Wang
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | | | - Tamio Okimoto
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Joseph Amann
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Min Jin Yoon
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Takehito Shukuya
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.,Department of Respiratory Medicine, Juntendo University, Tokyo, Japan
| | - Chi-Ling Chiang
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Nicole Walters
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Yifan Ma
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Donald Belcher
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Hong Li
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - Andre F Palmer
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA
| | - David P Carbone
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - L James Lee
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA.,Spot Biosystems Ltd., Palo Alto, California, USA
| | - Eduardo Reátegui
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio, State University, Columbus, Ohio, USA.,Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
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Lee R, Erstling JA, Hinckley JA, Chapman DV, Wiesner UB. Addressing Particle Compositional Heterogeneities in Super-Resolution-Enhanced Live-Cell Ratiometric pH Sensing with Ultrasmall Fluorescent Core-Shell Aluminosilicate Nanoparticles. ADVANCED FUNCTIONAL MATERIALS 2021; 31:2106144. [PMID: 34899116 PMCID: PMC8659865 DOI: 10.1002/adfm.202106144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Indexed: 06/13/2023]
Abstract
The interrogation of metabolic parameters like pH in live-cell experiments using optical super-resolution microscopy (SRM) remains challenging. This is due to a paucity of appropriate metabolic probes enabling live-cell SRM-based sensing. Here we introduce ultrasmall fluorescent core-shell aluminosilicate nanoparticle sensors (FAM-ATTO647N aC' dots) that covalently encapsulate a reference dye (ATTO647N) in the core and a pH-sensing moiety (FAM) in the shell. Only the reference dye exhibits optical blinking enabling live-cell stochastic optical reconstruction microscopy (STORM). Using data from cells incubated for 60 minutes with FAM-ATTO647N aC' dots, pixelated information from total internal reflection fluorescence (TIRF) microscopy-based ratiometric sensing can be combined with that from STORM-based localizations via the blinking reference dye in order to enhance the resolution of ratiometric pH sensor maps beyond the optical diffraction limit. A nearest-neighbor interpolation methodology is developed to quantitatively address particle compositional heterogeneity as determined by separate single-particle fluorescence imaging methods. When combined with STORM-based estimates of the number of particles per vesicle, vesicle size, and vesicular motion as a whole, this analysis provides detailed live-cell spatial and functional information, paving the way to a comprehensive mapping and understanding of the spatiotemporal evolution of nanoparticle processing by cells important, e.g. for applications in nanomedicine.
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Affiliation(s)
- Rachel Lee
- Department of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Jacob A Erstling
- Department of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States; Department of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Joshua A Hinckley
- Department of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853, United States
| | - Dana V Chapman
- Department of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Ulrich B Wiesner
- Department of Materials Science and Engineering, Cornell University, Ithaca, New York 14853, United States
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Llauró A, Hayashi H, Bailey ME, Wilson A, Ludzia P, Asbury CL, Akiyoshi B. The kinetoplastid kinetochore protein KKT4 is an unconventional microtubule tip-coupling protein. J Cell Biol 2018; 217:3886-3900. [PMID: 30209069 PMCID: PMC6219724 DOI: 10.1083/jcb.201711181] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 07/23/2018] [Accepted: 08/24/2018] [Indexed: 01/08/2023] Open
Abstract
The evolutionarily divergent class of kinetoplastid organisms has a set of unconventional kinetochore proteins that drive chromosome segregation, but it is unclear which components interact with spindle microtubules. Llauró et al. now identify KKT4 as the first microtubule-binding kinetochore protein in Trypanosoma brucei, a major human pathogenic parasite. Kinetochores are multiprotein machines that drive chromosome segregation by maintaining persistent, load-bearing linkages between chromosomes and dynamic microtubule tips. Kinetochores in commonly studied eukaryotes bind microtubules through widely conserved components like the Ndc80 complex. However, in evolutionarily divergent kinetoplastid species such as Trypanosoma brucei, which causes sleeping sickness, the kinetochores assemble from a unique set of proteins lacking homology to any known microtubule-binding domains. Here, we show that the T. brucei kinetochore protein KKT4 binds directly to microtubules and maintains load-bearing attachments to both growing and shortening microtubule tips. The protein localizes both to kinetochores and to spindle microtubules in vivo, and its depletion causes defects in chromosome segregation. We define a microtubule-binding domain within KKT4 and identify several charged residues important for its microtubule-binding activity. Thus, despite its lack of significant similarity to other known microtubule-binding proteins, KKT4 has key functions required for driving chromosome segregation. We propose that it represents a primary element of the kinetochore–microtubule interface in kinetoplastids.
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Affiliation(s)
- Aida Llauró
- Department of Physiology and Biophysics, University of Washington, Seattle, WA
| | - Hanako Hayashi
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Megan E Bailey
- Department of Physiology and Biophysics, University of Washington, Seattle, WA
| | - Alex Wilson
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Patryk Ludzia
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Charles L Asbury
- Department of Physiology and Biophysics, University of Washington, Seattle, WA
| | - Bungo Akiyoshi
- Department of Biochemistry, University of Oxford, Oxford, UK
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Asbury CL. Data Analysis for Total Internal Reflection Fluorescence Microscopy. Cold Spring Harb Protoc 2016; 2016:2016/5/pdb.prot085571. [PMID: 27140913 DOI: 10.1101/pdb.prot085571] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In the microscopes we use to analyze total internal reflection fluorescence (TIRF), the emitted fluorescence is split chromatically, using dichroic filters, into either two or three different colors ("channels"). In our two-color instrument, the green emission wavelengths (405-488 nm; for imaging green fluorescent protein [GFP]-tagged proteins) and far-red emission wavelengths (650-800 nm; for imaging Alexa-647-labeled microtubules) are projected onto the upper and lower halves, respectively, of a single camera. A single filter can be swapped to collect near-red wavelengths (561-640 nm; for imaging mCherry, or Alexa-568-labeled microtubules) instead of far-red. Our three-color instrument is very similar except that the green, near-red, and far-red color ranges are projected onto three separate cameras. In either case, the different colors can be imaged simultaneously. Typically, we collect images at 10 frames/sec for ∼200 sec. We have developed a series of semiautomated image analysis programs, written in LabView, to obtain the brightness, residence time, and mobility of individual particles bound to single microtubules. The basic analysis steps are straightforward and could also be implemented using ImageJ or Matlab. For convenience, this protocol describes the analysis of a single microtubule. Data from many microtubules across many experimental trials are needed to obtain robust conclusions that are independent of stochastic and trial-to-trial variability.
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Affiliation(s)
- Charles L Asbury
- Department of Physiology and Biophysics, University of Washington, Seattle, Washington 98195
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Kudalkar EM, Davis TN, Asbury CL. Single-Molecule Total Internal Reflection Fluorescence Microscopy. Cold Spring Harb Protoc 2016; 2016:2016/5/pdb.top077800. [PMID: 27140922 DOI: 10.1101/pdb.top077800] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The advent of total internal reflection fluorescence (TIRF) microscopy has permitted visualization of biological events on an unprecedented scale: the single-molecule level. Using TIRF, it is now possible to view complex biological interactions such as cargo transport by a single molecular motor or DNA replication in real time. TIRF allows for visualization of single molecules by eliminating out-of-focus fluorescence and enhancing the signal-to-noise ratio. TIRF has been instrumental for studying in vitro interactions and has also been successfully implemented in live-cell imaging. Visualization of cytoskeletal structures and dynamics at the plasma membrane, such as endocytosis, exocytosis, and adhesion, has become much clearer using TIRF microscopy. Thanks to recent advances in optics and commercial availability, TIRF microscopy is becoming an increasingly popular and user-friendly technique. In this introduction, we describe the fundamental properties of TIRF microscopy and the advantages of using TIRF for single-molecule investigation.
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Affiliation(s)
- Emily M Kudalkar
- Department of Biochemistry, University of Washington, Seattle, Washington 98195
| | - Trisha N Davis
- Department of Biochemistry, University of Washington, Seattle, Washington 98195
| | - Charles L Asbury
- Department of Physiology and Biophysics, University of Washington, Seattle, Washington 98195
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Kudalkar EM, Davis TN, Asbury CL. Preparation of Reactions for Imaging with Total Internal Reflection Fluorescence Microscopy. Cold Spring Harb Protoc 2016; 2016:2016/5/pdb.prot085563. [PMID: 27140912 DOI: 10.1101/pdb.prot085563] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Here we present our standard protocol for studying the binding of kinetochore proteins to microtubules as a paradigm for designing single-molecule total internal reflection fluorescence (TIRF) microscopy experiments. Several aspects of this protocol require empirical optimization, including the method for anchoring the polymer or substrate to the coverslip, the type and amount of blocking protein to prevent nonspecific protein adsorption to the glass, the appropriate protein concentration, the laser power, and the duration of imaging. Our method uses bovine serum albumin and κ-casein as blocking agents to coat any imperfections in the coverslip silanization and thereby prevent protein adsorption to the coverslip. Protein concentration and duration of imaging must be optimized for each experiment and protein of interest. Ideally, a range is determined that allows for resolution of single complexes binding to microtubules to ensure proper measurement of kinetic off rates and diffusion along microtubules. Excessively high concentrations may lead to overlapping binding of proteins on microtubules, making it impossible to resolve single binding events. The duration of imaging must be long enough to capture very low off rates (long residence time on microtubules) and we typically image at 10 frames/sec for 200 sec. The laser power can be adjusted to prevent photobleaching, but must be high enough to achieve a sufficient signal/noise ratio.
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Affiliation(s)
- Emily M Kudalkar
- Department of Biochemistry, University of Washington, Seattle, Washington 98195
| | - Trisha N Davis
- Department of Biochemistry, University of Washington, Seattle, Washington 98195
| | - Charles L Asbury
- Department of Physiology and Biophysics, University of Washington, Seattle, Washington 98195
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