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Piatkevich KD, Jung EE, Straub C, Linghu C, Park D, Suk HJ, Hochbaum DR, Goodwin D, Pnevmatikakis E, Pak N, Kawashima T, Yang CT, Rhoades JL, Shemesh O, Asano S, Yoon YG, Freifeld L, Saulnier JL, Riegler C, Engert F, Hughes T, Drobizhev M, Szabo B, Ahrens MB, Flavell SW, Sabatini BL, Boyden ES. A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters. Nat Chem Biol 2018; 14:352-360. [PMID: 29483642 PMCID: PMC5866759 DOI: 10.1038/s41589-018-0004-9] [Citation(s) in RCA: 203] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 12/19/2017] [Indexed: 02/07/2023]
Abstract
We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing proteins that simultaneously exhibit several specific properties, we can screen hundreds of thousands of proteins in a library in just a few hours, evaluating each along multiple performance axes. To demonstrate the power of this approach, we created a genetically encoded fluorescent voltage indicator, simultaneously optimizing its brightness and membrane localization using our microscopy-guided cell-picking strategy. We produced the high-performance opsin-based fluorescent voltage reporter Archon1 and demonstrated its utility by imaging spiking and millivolt-scale subthreshold and synaptic activity in acute mouse brain slices and in larval zebrafish in vivo. We also measured postsynaptic responses downstream of optogenetically controlled neurons in C. elegans.
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Affiliation(s)
- Kiryl D Piatkevich
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Erica E Jung
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Christoph Straub
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Changyang Linghu
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - Demian Park
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Ho-Jun Suk
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, USA
| | - Daniel R Hochbaum
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Daniel Goodwin
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | | | - Nikita Pak
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Department of Mechanical Engineering, MIT, Cambridge, MA, USA
| | - Takashi Kawashima
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Chao-Tsung Yang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Jeffrey L Rhoades
- Picower Institute for Learning & Memory and Department of Brain & Cognitive Sciences, MIT, Cambridge, MA, USA
| | - Or Shemesh
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Shoh Asano
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Young-Gyu Yoon
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - Limor Freifeld
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Jessica L Saulnier
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Clemens Riegler
- Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Neurobiology, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Florian Engert
- Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Thom Hughes
- Department of Cell Biology and Neuroscience, Montana State University, Bozeman, Montana, USA
| | - Mikhail Drobizhev
- Department of Cell Biology and Neuroscience, Montana State University, Bozeman, Montana, USA
| | - Balint Szabo
- Department of Biological Physics, Eotvos University, Budapest, Hungary
| | - Misha B Ahrens
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Steven W Flavell
- Picower Institute for Learning & Memory and Department of Brain & Cognitive Sciences, MIT, Cambridge, MA, USA
| | - Bernardo L Sabatini
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Edward S Boyden
- Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
- Department of Biological Engineering, MIT, Cambridge, MA, USA.
- MIT Center for Neurobiological Engineering, MIT, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
- MIT McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.
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Zhou X, Zhou X, Zheng B. Stacking chip for quantitative bioanalysis. Talanta 2017; 175:483-487. [PMID: 28842021 DOI: 10.1016/j.talanta.2017.07.077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 07/21/2017] [Accepted: 07/24/2017] [Indexed: 11/17/2022]
Abstract
This paper describes a microwell-based microdevice for performing quantitative bioanalysis. This microdevice combined the passive pumping by degassed polydimethylsiloxane (PDMS) with serial operations including solution dispensing, plates splitting and plates stacking. We name this microdevice "stacking chip". To use the stacking chip in quantitative bioanalysis, nanoliter solutions were first dispensed into the microwells through the degassed PDMS microchannels. Next, we split the microwell and microchannel plates assisted by the application of one drop of silicone oil, which resulted in a microwell array containing the reagent solutions. Microreactor arrays were formed by stacking the two microwell arrays containing the reagent solutions. With this microdevice, the enzymatic kinetics of alkaline phosphatase during the dissociation of the fluorescein diphosphate was measured and analyzed by the Michaelis-Menten model. The stacking chip is simple to fabricate and operate, and amenable to automation for high throughput analysis.
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Affiliation(s)
- Xiaohu Zhou
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Xuechang Zhou
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Bo Zheng
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
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Bachus KJ, Mats L, Choi HW, Gibson GTT, Oleschuk RD. Fabrication of Patterned Superhydrophobic/Hydrophilic Substrates by Laser Micromachining for Small Volume Deposition and Droplet-Based Fluorescence. ACS APPLIED MATERIALS & INTERFACES 2017; 9:7629-7636. [PMID: 28169515 DOI: 10.1021/acsami.6b16363] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The deposition of nanoliter and subnanoliter volumes is important in chemical and biochemical droplet-based microfluidic systems. There are several techniques that have been established for the deposition/generation of small volumes including the use of surfaces with patterned differences in wettability. Many such methods require complex and time-consuming lithographic techniques. Here, we present a facile method for the fabrication of superhydrophobic surfaces with patterned hydrophilic regions by laser micromachining. A comprehensive study of fabrication parameters (laser machining speed, laser power, and patch size) on the material, patch wettability, and droplet volume is presented. Patch sizes as small as 100 μm diameter and as large as 1500 μm diameter were investigated, and volumes as low as 400 pL were observed. As an example application of such patterned materials and the deposition of small volumes, halide salts were preconcentrated on the hydrophilic patches, and their fluorescence quenching constants were rapidly calculated using a 3D-printed device coupled to a fluorescence spectrometer.
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Affiliation(s)
- K J Bachus
- Department of Chemistry, Queen's University , Kingston, Ontario K7L 3N6, Canada
| | - L Mats
- Department of Chemistry, Queen's University , Kingston, Ontario K7L 3N6, Canada
| | - H W Choi
- Department of Chemistry, Queen's University , Kingston, Ontario K7L 3N6, Canada
| | - G T T Gibson
- CMC Microsystems , Innovation Park, Kingston, Ontario K7L 0E9, Canada
| | - R D Oleschuk
- Department of Chemistry, Queen's University , Kingston, Ontario K7L 3N6, Canada
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Shah PK, Herrera-Loeza SG, Sims CE, Yeh JJ, Allbritton NL. Small sample sorting of primary adherent cells by automated micropallet imaging and release. Cytometry A 2014; 85:642-9. [PMID: 24939722 DOI: 10.1002/cyto.a.22480] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Revised: 03/15/2014] [Accepted: 04/14/2014] [Indexed: 12/20/2022]
Abstract
Primary patient samples are the gold standard for molecular investigations of tumor biology yet are difficult to acquire, heterogeneous in nature and variable in size. Patient-derived xenografts (PDXs) comprised of primary tumor tissue cultured in host organisms such as nude mice permit the propagation of human tumor samples in an in vivo environment and closely mimic the phenotype and gene expression profile of the primary tumor. Although PDX models reduce the cost and complexity of acquiring sample tissue and permit repeated sampling of the primary tumor, these samples are typically contaminated by immune, blood, and vascular tissues from the host organism while also being limited in size. For very small tissue samples (on the order of 10(3) cells) purification by fluorescence-activated cell sorting (FACS) is not feasible while magnetic activated cell sorting (MACS) of small samples results in very low purity, low yield, and poor viability. We developed a platform for imaging cytometry integrated with micropallet array technology to perform automated cell sorting on very small samples obtained from PDX models of pancreatic and colorectal cancer using antibody staining of EpCAM (CD326) as a selection criteria. These data demonstrate the ability to automate and efficiently separate samples with very low number of cells.
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Affiliation(s)
- Pavak K Shah
- Department of Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina 27599 and North Carolina State University, Raleigh, North Carolina, 27695
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Guillaume-Gentil O, Zambelli T, Vorholt JA. Isolation of single mammalian cells from adherent cultures by fluidic force microscopy. LAB ON A CHIP 2014; 14:402-14. [PMID: 24270585 DOI: 10.1039/c3lc51174j] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The physical separation of individual cells from cell populations for single-cell analysis and proliferation is of wide interest in biology and medicine. Today, single-cell isolation is routinely applied to non-adherent cells, though its application to cells grown on a substrate remains challenging. In this report, a versatile approach for isolating single HeLa cells directly from their culture dish is presented. Fluidic force microscopy is first used to detach the targeted cell(s) via the tunable delivery of trypsin, thereby achieving cellular detachment with single-cell resolution. The cell is then trapped by the microfluidic probe via gentle aspiration, displaced with micrometric precision and either transferred onto a new substrate or deposited into a microwell. An optimised non-fouling coating ensures fully reversible cell capture and the potential for serial isolation of multiple cells with 100% successful transfer rate (n = 130) and a survival rate of greater than 95%. By providing an efficient means for isolating targeted adherent cells, the described approach offers exciting possibilities for biomedical research.
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Affiliation(s)
- Orane Guillaume-Gentil
- ETH Zurich, Institute of Microbiology, Wolfgang-Pauli-Strasse 10, 8093 Zurich, Switzerland.
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