1
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Zhang R, Huang Y, Li M, Wang L, Li B, Xia A, Li Y, Yang S, Jin F. High-throughput, microscopy-based screening and quantification of genetic elements. MLIFE 2023; 2:450-461. [PMID: 38818273 PMCID: PMC10989126 DOI: 10.1002/mlf2.12096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/08/2023] [Accepted: 10/10/2023] [Indexed: 06/01/2024]
Abstract
Synthetic biology relies on the screening and quantification of genetic components to assemble sophisticated gene circuits with specific functions. Microscopy is a powerful tool for characterizing complex cellular phenotypes with increasing spatial and temporal resolution to library screening of genetic elements. Microscopy-based assays are powerful tools for characterizing cellular phenotypes with spatial and temporal resolution and can be applied to large-scale samples for library screening of genetic elements. However, strategies for high-throughput microscopy experiments remain limited. Here, we present a high-throughput, microscopy-based platform that can simultaneously complete the preparation of an 8 × 12-well agarose pad plate, allowing for the screening of 96 independent strains or experimental conditions in a single experiment. Using this platform, we screened a library of natural intrinsic promoters from Pseudomonas aeruginosa and identified a small subset of robust promoters that drives stable levels of gene expression under varying growth conditions. Additionally, the platform allowed for single-cell measurement of genetic elements over time, enabling the identification of complex and dynamic phenotypes to map genotype in high throughput. We expected that the platform could be employed to accelerate the identification and characterization of genetic elements in various biological systems, as well as to understand the relationship between cellular phenotypes and internal states, including genotypes and gene expression programs.
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Affiliation(s)
- Rongrong Zhang
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Yajia Huang
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Mei Li
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Lei Wang
- Shenzhen Synthetic Biology InfrastructureShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Bing Li
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Aiguo Xia
- Shenzhen Synthetic Biology InfrastructureShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Ye Li
- Shenzhen Synthetic Biology InfrastructureShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Shuai Yang
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
- Chengdu Documentation and Information CenterChinese Academy of SciencesChengduChina
| | - Fan Jin
- CAS Key Laboratory of Quantitative Engineering BiologyShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
- Shenzhen Synthetic Biology InfrastructureShenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
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2
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Tian H, Davis HC, Wong-Campos JD, Park P, Fan LZ, Gmeiner B, Begum S, Werley CA, Borja GB, Upadhyay H, Shah H, Jacques J, Qi Y, Parot V, Deisseroth K, Cohen AE. Video-based pooled screening yields improved far-red genetically encoded voltage indicators. Nat Methods 2023; 20:1082-1094. [PMID: 36624211 PMCID: PMC10329731 DOI: 10.1038/s41592-022-01743-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/28/2022] [Indexed: 01/11/2023]
Abstract
Video-based screening of pooled libraries is a powerful approach for directed evolution of biosensors because it enables selection along multiple dimensions simultaneously from large libraries. Here we develop a screening platform, Photopick, which achieves precise phenotype-activated photoselection over a large field of view (2.3 × 2.3 mm, containing >103 cells, per shot). We used the Photopick platform to evolve archaerhodopsin-derived genetically encoded voltage indicators (GEVIs) with improved signal-to-noise ratio (QuasAr6a) and kinetics (QuasAr6b). These GEVIs gave improved signals in cultured neurons and in live mouse brains. By combining targeted in vivo optogenetic stimulation with high-precision voltage imaging, we characterized inhibitory synaptic coupling between individual cortical NDNF (neuron-derived neurotrophic factor) interneurons, and excitatory electrical synapses between individual hippocampal parvalbumin neurons. The QuasAr6 GEVIs are powerful tools for all-optical electrophysiology and the Photopick approach could be adapted to evolve a broad range of biosensors.
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Affiliation(s)
- He Tian
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Hunter C Davis
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - J David Wong-Campos
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Pojeong Park
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Linlin Z Fan
- Department of Bioengineering, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Benjamin Gmeiner
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Shahinoor Begum
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | | | | | | | | | | | - Yitong Qi
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Vicente Parot
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Karl Deisseroth
- Department of Bioengineering, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MA, USA
| | - Adam E Cohen
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
- Department of Physics, Harvard University, Cambridge, MA, USA.
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3
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Abdelfattah AS, Zheng J, Singh A, Huang YC, Reep D, Tsegaye G, Tsang A, Arthur BJ, Rehorova M, Olson CVL, Shuai Y, Zhang L, Fu TM, Milkie DE, Moya MV, Weber TD, Lemire AL, Baker CA, Falco N, Zheng Q, Grimm JB, Yip MC, Walpita D, Chase M, Campagnola L, Murphy GJ, Wong AM, Forest CR, Mertz J, Economo MN, Turner GC, Koyama M, Lin BJ, Betzig E, Novak O, Lavis LD, Svoboda K, Korff W, Chen TW, Schreiter ER, Hasseman JP, Kolb I. Sensitivity optimization of a rhodopsin-based fluorescent voltage indicator. Neuron 2023; 111:1547-1563.e9. [PMID: 37015225 PMCID: PMC10280807 DOI: 10.1016/j.neuron.2023.03.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/15/2023] [Accepted: 03/07/2023] [Indexed: 04/05/2023]
Abstract
The ability to optically image cellular transmembrane voltages at millisecond-timescale resolutions can offer unprecedented insight into the function of living brains in behaving animals. Here, we present a point mutation that increases the sensitivity of Ace2 opsin-based voltage indicators. We use the mutation to develop Voltron2, an improved chemigeneic voltage indicator that has a 65% higher sensitivity to single APs and 3-fold higher sensitivity to subthreshold potentials than Voltron. Voltron2 retained the sub-millisecond kinetics and photostability of its predecessor, although with lower baseline fluorescence. In multiple in vitro and in vivo comparisons with its predecessor across multiple species, we found Voltron2 to be more sensitive to APs and subthreshold fluctuations. Finally, we used Voltron2 to study and evaluate the possible mechanisms of interneuron synchronization in the mouse hippocampus. Overall, we have discovered a generalizable mutation that significantly increases the sensitivity of Ace2 rhodopsin-based sensors, improving their voltage reporting capability.
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Affiliation(s)
| | - Jihong Zheng
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Amrita Singh
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Yi-Chieh Huang
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Daniel Reep
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Getahun Tsegaye
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Arthur Tsang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Benjamin J Arthur
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Monika Rehorova
- Department of Physiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Carl V L Olson
- Department of Physiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Yichun Shuai
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Lixia Zhang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Tian-Ming Fu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Daniel E Milkie
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Maria V Moya
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Timothy D Weber
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Andrew L Lemire
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Natalie Falco
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Qinsi Zheng
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Jonathan B Grimm
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Mighten C Yip
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Deepika Walpita
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | | | | | - Allan M Wong
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Craig R Forest
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Jerome Mertz
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Michael N Economo
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Glenn C Turner
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Minoru Koyama
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Bei-Jung Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Eric Betzig
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Departments of Molecular and Cell Biology and Physics, Howard Hughes Medical Institute, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ondrej Novak
- Department of Physiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Luke D Lavis
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Wyatt Korff
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Tsai-Wen Chen
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Eric R Schreiter
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
| | - Jeremy P Hasseman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
| | - Ilya Kolb
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; GENIE Project Team, Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
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4
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Walton RT, Singh A, Blainey PC. Pooled genetic screens with image‐based profiling. Mol Syst Biol 2022; 18:e10768. [PMID: 36366905 PMCID: PMC9650298 DOI: 10.15252/msb.202110768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
Spatial structure in biology, spanning molecular, organellular, cellular, tissue, and organismal scales, is encoded through a combination of genetic and epigenetic factors in individual cells. Microscopy remains the most direct approach to exploring the intricate spatial complexity defining biological systems and the structured dynamic responses of these systems to perturbations. Genetic screens with deep single‐cell profiling via image features or gene expression programs have the capacity to show how biological systems work in detail by cataloging many cellular phenotypes with one experimental assay. Microscopy‐based cellular profiling provides information complementary to next‐generation sequencing (NGS) profiling and has only recently become compatible with large‐scale genetic screens. Optical screening now offers the scale needed for systematic characterization and is poised for further scale‐up. We discuss how these methodologies, together with emerging technologies for genetic perturbation and microscopy‐based multiplexed molecular phenotyping, are powering new approaches to reveal genotype–phenotype relationships.
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Affiliation(s)
- Russell T Walton
- Broad Institute of MIT and Harvard Cambridge MA USA
- Department of Biological Engineering MIT Cambridge MA USA
| | - Avtar Singh
- Broad Institute of MIT and Harvard Cambridge MA USA
| | - Paul C Blainey
- Broad Institute of MIT and Harvard Cambridge MA USA
- Department of Biological Engineering MIT Cambridge MA USA
- Koch Institute for Integrative Cancer Research MIT Cambridge MA USA
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5
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Light-Seq: light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing. Nat Methods 2022; 19:1393-1402. [PMID: 36216958 PMCID: PMC9636025 DOI: 10.1038/s41592-022-01604-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/10/2022] [Indexed: 11/21/2022]
Abstract
We present Light-Seq, an approach for multiplexed spatial indexing of intact biological samples using light-directed DNA barcoding in fixed cells and tissues followed by ex situ sequencing. Light-Seq combines spatially targeted, rapid photocrosslinking of DNA barcodes onto complementary DNAs in situ with a one-step DNA stitching reaction to create pooled, spatially indexed sequencing libraries. This light-directed barcoding enables in situ selection of multiple cell populations in intact fixed tissue samples for full-transcriptome sequencing based on location, morphology or protein stains, without cellular dissociation. Applying Light-Seq to mouse retinal sections, we recovered thousands of differentially enriched transcripts from three cellular layers and discovered biomarkers for a very rare neuronal subtype, dopaminergic amacrine cells, from only four to eight individual cells per section. Light-Seq provides an accessible workflow to combine in situ imaging and protein staining with next generation sequencing of the same cells, leaving the sample intact for further analysis post-sequencing. Light-Seq uses light-directed DNA barcoding in fixed cells and tissues for multiplexed spatial indexing and subsequent next generation sequencing. This approach blends spatial and omics information to enable analysis of rare cell types in complex tissues.
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6
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Lian J, Tang W, Yang Y, Vaidyanathan R, Gonçales VR, Arman SY, Tilley RD, Gooding JJ. A Transparent Semiconducting Surface for Capturing and Releasing Single Cells from a Complex Cell Mixture. ACS APPLIED MATERIALS & INTERFACES 2022; 14:18079-18086. [PMID: 35385656 DOI: 10.1021/acsami.1c23209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Selective isolation of individual target cells from a heterogeneous population is technically challenging; however, the ability to retrieve single cells can have high significance in various aspects of biological research. Here, we present a new photoelectrochemical surface based on a transparent electrode that is compatible with high-resolution fluorescence microscopy for isolating individual rare cells from complex biological samples. This is underpinned by two important factors: (i) careful design of the electrode by patterning discrete Au disks of micron dimension on amorphous silicon-indium tin oxide films and (ii) orthogonal surface chemistry, which modifies the patterned electrode with self-assembly layers of different functionalities, to selectively capture target cells on the Au disks and resist cell binding to the amorphous silicon surface. The co-stimulation of the surface using light from a microscope and an electric potential triggers the reductive desorption of the alkanethiol monolayer from the Au disks to release the single cells of interest from the illuminated regions only. Using circulating tumor cells as a model, we demonstrate the capture of cancer cells on an antibody-coated surface and selective release of single cancer cells with low expression of epithelial cell adhesion molecules.
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Affiliation(s)
- Jiaxin Lian
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Wenxian Tang
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Ying Yang
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Ramanathan Vaidyanathan
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Vinicius R Gonçales
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Seyed Yousef Arman
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Richard D Tilley
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Electron Microscope Unit, Mark Wainwright Analytical Centre, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - J Justin Gooding
- School of Chemistry, The University of New South Wales, Sydney, New South Wales 2052, Australia
- Australia Centre for NanoMedicine, The University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of New South Wales, Sydney, New South Wales 2052, Australia
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7
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Babakhanova S, Jung EE, Namikawa K, Zhang H, Wang Y, Subach OM, Korzhenevskiy DA, Rakitina TV, Xiao X, Wang W, Shi J, Drobizhev M, Park D, Eisenhard L, Tang H, Köster RW, Subach FV, Boyden ES, Piatkevich KD. Rapid directed molecular evolution of fluorescent proteins in mammalian cells. Protein Sci 2022; 31:728-751. [PMID: 34913537 PMCID: PMC8862398 DOI: 10.1002/pro.4261] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 11/24/2021] [Accepted: 12/14/2021] [Indexed: 12/31/2022]
Abstract
In vivo imaging of model organisms is heavily reliant on fluorescent proteins with high intracellular brightness. Here we describe a practical method for rapid optimization of fluorescent proteins via directed molecular evolution in cultured mammalian cells. Using this method, we were able to perform screening of large gene libraries containing up to 2 × 107 independent random genes of fluorescent proteins expressed in HEK cells, completing one iteration of directed evolution in a course of 8 days. We employed this approach to develop a set of green and near-infrared fluorescent proteins with enhanced intracellular brightness. The developed near-infrared fluorescent proteins demonstrated high performance for fluorescent labeling of neurons in culture and in vivo in model organisms such as Caenorhabditis elegans, Drosophila, zebrafish, and mice. Spectral properties of the optimized near-infrared fluorescent proteins enabled crosstalk-free multicolor imaging in combination with common green and red fluorescent proteins, as well as dual-color near-infrared fluorescence imaging. The described method has a great potential to be adopted by protein engineers due to its simplicity and practicality. We also believe that the new enhanced fluorescent proteins will find wide application for in vivo multicolor imaging of small model organisms.
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8
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Chien MP, Brinks D, Testa-Silva G, Tian H, Phil Brooks F, Adam Y, Bloxham B, Gmeiner B, Kheifets S, Cohen AE. Photoactivated voltage imaging in tissue with an archaerhodopsin-derived reporter. SCIENCE ADVANCES 2021; 7:7/19/eabe3216. [PMID: 33952514 PMCID: PMC8099184 DOI: 10.1126/sciadv.abe3216] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 03/15/2021] [Indexed: 05/19/2023]
Abstract
Photoactivated genetically encoded voltage indicators (GEVIs) have the potential to enable optically sectioned voltage imaging at the intersection of a photoactivation beam and an imaging beam. We developed a pooled high-throughput screen to identify archaerhodopsin mutants with enhanced photoactivation. After screening ~105 cells, we identified a novel GEVI, NovArch, whose one-photon near-infrared fluorescence is reversibly enhanced by weak one-photon blue or two-photon near-infrared excitation. Because the photoactivation leads to fluorescent signals catalytically rather than stoichiometrically, high fluorescence signals, optical sectioning, and high time resolution are achieved simultaneously at modest blue or two-photon laser power. We demonstrate applications of the combined molecular and optical tools to optical mapping of membrane voltage in distal dendrites in acute mouse brain slices and in spontaneously active neurons in vivo.
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Affiliation(s)
- Miao-Ping Chien
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Daan Brinks
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Imaging Physics, Delft University of Technology, Delft, Netherlands
| | - Guilherme Testa-Silva
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Howard Hughes Medical Institute, Cambridge, MA 02138, USA
| | - He Tian
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - F Phil Brooks
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Yoav Adam
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Blox Bloxham
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Benjamin Gmeiner
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Simon Kheifets
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Adam E Cohen
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
- Howard Hughes Medical Institute, Cambridge, MA 02138, USA
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9
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Lawson M, Elf J. Imaging-based screens of pool-synthesized cell libraries. Nat Methods 2021; 18:358-365. [PMID: 33589838 DOI: 10.1038/s41592-020-01053-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 12/21/2020] [Indexed: 01/30/2023]
Abstract
Mapping a genetic perturbation to a change in phenotype is at the core of biological research. Advances in microscopy have transformed these studies, but they have largely been confined to examining a few strains or cell lines at a time. In parallel, there has been a revolution in creating synthetic libraries of genetically altered cells with relative ease. Here we describe methods that combine these powerful tools to perform live-cell imaging of pool-generated strain libraries for improved biological discovery.
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Affiliation(s)
- Michael Lawson
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Johan Elf
- Department of Cell and Molecular Biology Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
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10
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Yan X, Stuurman N, Ribeiro SA, Tanenbaum ME, Horlbeck MA, Liem CR, Jost M, Weissman JS, Vale RD. High-content imaging-based pooled CRISPR screens in mammalian cells. J Cell Biol 2021; 220:211696. [PMID: 33465779 PMCID: PMC7821101 DOI: 10.1083/jcb.202008158] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 11/17/2020] [Accepted: 12/02/2020] [Indexed: 12/11/2022] Open
Abstract
CRISPR (clustered regularly interspaced short palindromic repeats)-based gene inactivation provides a powerful means for linking genes to particular cellular phenotypes. CRISPR-based screening typically uses large genomic pools of single guide RNAs (sgRNAs). However, this approach is limited to phenotypes that can be enriched by chemical selection or FACS sorting. Here, we developed a microscopy-based approach, which we name optical enrichment, to select cells displaying a particular CRISPR-induced phenotype by automated imaging-based computation, mark them by photoactivation of an expressed photoactivatable fluorescent protein, and then isolate the fluorescent cells using fluorescence-activated cell sorting (FACS). A plugin was developed for the open source software μManager to automate the phenotypic identification and photoactivation of cells, allowing ∼1.5 million individual cells to be screened in 8 h. We used this approach to screen 6,092 sgRNAs targeting 544 genes for their effects on nuclear size regulation and identified 14 bona fide hits. These results present a scalable approach to facilitate imaging-based pooled CRISPR screens.
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Affiliation(s)
- Xiaowei Yan
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA
| | - Nico Stuurman
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA
| | - Susana A. Ribeiro
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,Cairn Biosciences, Inc., San Francisco, CA
| | - Marvin E. Tanenbaum
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, Utrecht, Netherlands
| | - Max A. Horlbeck
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,Boston Children's Hospital, Boston, MA
| | - Christina R. Liem
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,University of California, San Diego, San Diego, CA
| | - Marco Jost
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA
| | - Jonathan S. Weissman
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,Whitehead Institute and Department of Biology, MIT, Cambridge, MA
| | - Ronald D. Vale
- Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA,Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA,Correspondence to Ronald D. Vale:
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11
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Lee J, Liu Z, Suzuki PH, Ahrens JF, Lai S, Lu X, Guan S, St-Pierre F. Versatile phenotype-activated cell sorting. SCIENCE ADVANCES 2020; 6:6/43/eabb7438. [PMID: 33097540 PMCID: PMC7608836 DOI: 10.1126/sciadv.abb7438] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 09/10/2020] [Indexed: 05/02/2023]
Abstract
Unraveling the genetic and epigenetic determinants of phenotypes is critical for understanding and re-engineering biology and would benefit from improved methods to separate cells based on phenotypes. Here, we report SPOTlight, a versatile high-throughput technique to isolate individual yeast or human cells with unique spatiotemporal profiles from heterogeneous populations. SPOTlight relies on imaging visual phenotypes by microscopy, precise optical tagging of single target cells, and retrieval of tagged cells by fluorescence-activated cell sorting. To illustrate SPOTlight's ability to screen cells based on temporal properties, we chose to develop a photostable yellow fluorescent protein for extended imaging experiments. We screened 3 million cells expressing mutagenesis libraries and identified a bright new variant, mGold, that is the most photostable yellow fluorescent protein reported to date. We anticipate that the versatility of SPOTlight will facilitate its deployment to decipher the rules of life, understand diseases, and engineer new molecules and cells.
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Affiliation(s)
- Jihwan Lee
- Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA
| | - Zhuohe Liu
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
| | - Peter H Suzuki
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - John F Ahrens
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Shujuan Lai
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xiaoyu Lu
- Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA
| | - Sihui Guan
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - François St-Pierre
- Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA.
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
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12
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Hasle N, Cooke A, Srivatsan S, Huang H, Stephany JJ, Krieger Z, Jackson D, Tang W, Pendyala S, Monnat RJ, Trapnell C, Hatch EM, Fowler DM. High-throughput, microscope-based sorting to dissect cellular heterogeneity. Mol Syst Biol 2020; 16:e9442. [PMID: 32500953 PMCID: PMC7273721 DOI: 10.15252/msb.20209442] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/23/2020] [Accepted: 04/29/2020] [Indexed: 12/24/2022] Open
Abstract
Microscopy is a powerful tool for characterizing complex cellular phenotypes, but linking these phenotypes to genotype or RNA expression at scale remains challenging. Here, we present Visual Cell Sorting, a method that physically separates hundreds of thousands of live cells based on their visual phenotype. Automated imaging and phenotypic analysis directs selective illumination of Dendra2, a photoconvertible fluorescent protein expressed in live cells; these photoactivated cells are then isolated using fluorescence-activated cell sorting. First, we use Visual Cell Sorting to assess hundreds of nuclear localization sequence variants in a pooled format, identifying variants that improve nuclear localization and enabling annotation of nuclear localization sequences in thousands of human proteins. Second, we recover cells that retain normal nuclear morphologies after paclitaxel treatment, and then derive their single-cell transcriptomes to identify pathways associated with paclitaxel resistance in cancers. Unlike alternative methods, Visual Cell Sorting depends on inexpensive reagents and commercially available hardware. As such, it can be readily deployed to uncover the relationships between visual cellular phenotypes and internal states, including genotypes and gene expression programs.
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Affiliation(s)
- Nicholas Hasle
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | | | - Sanjay Srivatsan
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Heather Huang
- Divisions of Basic Sciences and Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Jason J Stephany
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Zachary Krieger
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Dana Jackson
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Weiliang Tang
- Department of PathologyUniversity of WashingtonSeattleWAUSA
| | - Sriram Pendyala
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Raymond J Monnat
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
- Department of PathologyUniversity of WashingtonSeattleWAUSA
| | - Cole Trapnell
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Emily M Hatch
- Divisions of Basic Sciences and Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Douglas M Fowler
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
- Department of BioengineeringUniversity of WashingtonSeattleWAUSA
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13
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Chiu JCY, Teodoro JA, Lee JH, Matthews K, Duffy SP, Ma H. Selective cell propagation via micropatterning of a thermally-activated hydrogel. LAB ON A CHIP 2020; 20:1544-1553. [PMID: 32270803 DOI: 10.1039/c9lc01230c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The ability to selectively propagate specific cells is fundamentally important to the development of clonal cell populations. Current methods rely on techniques such as limiting dilution, colony picking, and flow cytometry to transfer single cells into single wells, resulting in workflows that are low-throughput, slowed by propagation kinetics, and susceptible to contamination. Here, we developed a method, called selective laser gelation (SLG), to micropattern hydrogels in cell culture media in order to encapsulate specific cells to selectively arrest their growth. This process relies on the inverse gelation of methylcellulose, which forms a hydrogel when heated rather than cooled. Local heating using an infrared laser enables hydrogel micropatterning, while phase transition hysteresis retains the hydrogel after laser excitation. As a demonstration, we used this approach to selectively propagate transgenic CHO cells with increased antibody productivity. More generally, hydrogel micropatterning provides a simple and non-contact method for selective propagation of cells based on features identified by imaging.
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Affiliation(s)
- Jeffrey C Y Chiu
- Department of Mechanical Engineering, University of British Columbia, 2054-6250 Applied Science Lane, Vancouver, BC, Canada.
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14
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Oldenhof S, Mytnyk S, Arranja A, de Puit M, van Esch JH. Imaging-assisted hydrogel formation for single cell isolation. Sci Rep 2020; 10:6595. [PMID: 32313146 PMCID: PMC7171092 DOI: 10.1038/s41598-020-62623-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 03/17/2020] [Indexed: 12/23/2022] Open
Abstract
We report a flexible single-cell isolation method by imaging-assisted hydrogel formation. Our approach consists of imaging-aided selective capture of cells of interest by encasing them into a polymeric hydrogel, followed by removal of unwanted cells and subsequent release of isolated cells by enzymatic hydrogel degradation, thus offering an opportunity for further analysis or cultivation of selected cells. We achieved high sorting efficiency and observed excellent viability rates (>98%) for NIH/3T3 fibroblasts and A549 carcinoma cells isolated using this procedure. The method presented here offers a mask-free, cost-efficient and easy-to-use alternative to many currently existing surface-based cell-sorting techniques, and has the potential to impact the field of cell culturing and isolation, e.g. single cell genomics and proteomics, investigation of cellular heterogeneity and isolation of best performing mutants for developing new cell lines.
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Affiliation(s)
- Sander Oldenhof
- The Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, Den Haag, the Netherlands
- Department of Chemical Engineering, Delft University of Technology, van der Maasweg, 2629, HZ Delft, the Netherlands
| | - Serhii Mytnyk
- Department of Chemical Engineering, Delft University of Technology, van der Maasweg, 2629, HZ Delft, the Netherlands
| | - Alexandra Arranja
- Department of Chemical Engineering, Delft University of Technology, van der Maasweg, 2629, HZ Delft, the Netherlands
| | - Marcel de Puit
- The Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, Den Haag, the Netherlands.
- Department of Chemical Engineering, Delft University of Technology, van der Maasweg, 2629, HZ Delft, the Netherlands.
| | - Jan H van Esch
- Department of Chemical Engineering, Delft University of Technology, van der Maasweg, 2629, HZ Delft, the Netherlands.
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15
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Wang C, Lu T, Emanuel G, Babcock HP, Zhuang X. Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization. Proc Natl Acad Sci U S A 2019; 116:10842-10851. [PMID: 31085639 PMCID: PMC6561216 DOI: 10.1073/pnas.1903808116] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Pooled-library CRISPR screening provides a powerful means to discover genetic factors involved in cellular processes in a high-throughput manner. However, the phenotypes accessible to pooled-library screening are limited. Complex phenotypes, such as cellular morphology and subcellular molecular organization, as well as their dynamics, require imaging-based readout and are currently beyond the reach of pooled-library CRISPR screening. Here we report an all imaging-based pooled-library CRISPR screening approach that combines high-content phenotype imaging with high-throughput single guide RNA (sgRNA) identification in individual cells. In this approach, sgRNAs are codelivered to cells with corresponding barcodes placed at the 3' untranslated region of a reporter gene using a lentiviral delivery system with reduced recombination-induced sgRNA-barcode mispairing. Multiplexed error-robust fluorescence in situ hybridization (MERFISH) is used to read out the barcodes and hence identify the sgRNAs with high accuracy. We used this approach to screen 162 sgRNAs targeting 54 RNA-binding proteins for their effects on RNA localization to nuclear compartments and uncovered previously unknown regulatory factors for nuclear RNA localization. Notably, our screen revealed both positive and negative regulators for the nuclear speckle localization of a long noncoding RNA, MALAT1, suggesting a dynamic regulation of lncRNA localization in subcellular compartments.
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MESH Headings
- CRISPR-Cas Systems/genetics
- Cell Line, Tumor
- Cell Nucleus/chemistry
- Cell Nucleus/metabolism
- Gene Editing
- High-Throughput Nucleotide Sequencing/methods
- Humans
- Image Processing, Computer-Assisted/methods
- In Situ Hybridization, Fluorescence/methods
- Molecular Probes/chemistry
- Molecular Probes/genetics
- Molecular Probes/metabolism
- RNA, Guide, CRISPR-Cas Systems/chemistry
- RNA, Guide, CRISPR-Cas Systems/genetics
- RNA, Guide, CRISPR-Cas Systems/metabolism
- RNA, Long Noncoding/chemistry
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- RNA-Binding Proteins/chemistry
- RNA-Binding Proteins/metabolism
- Single-Cell Analysis/methods
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Affiliation(s)
- Chong Wang
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
- Department of Physics, Harvard University, Cambridge, MA 02138
| | - Tian Lu
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
- Department of Physics, Harvard University, Cambridge, MA 02138
| | - George Emanuel
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
- Department of Physics, Harvard University, Cambridge, MA 02138
| | - Hazen P Babcock
- Center for Advanced Imaging, Harvard University, Cambridge, MA 02138
| | - Xiaowei Zhuang
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138;
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
- Department of Physics, Harvard University, Cambridge, MA 02138
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16
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Negishi R, Iwata R, Tanaka T, Kisailus D, Maeda Y, Matsunaga T, Yoshino T. Gel-based cell manipulation method for isolation and genotyping of single-adherent cells. Analyst 2019; 144:990-996. [DOI: 10.1039/c8an01456f] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The simple and rapid method for isolation of single-adherent cells from a culture dish was developed and applied to genetic analysis of single-cells.
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Affiliation(s)
- Ryo Negishi
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
| | - Reito Iwata
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
| | - Tsuyoshi Tanaka
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
| | - David Kisailus
- Department of Chemical and Environmental Engineering
- University of California
- Riverside
- Riverside
- USA
| | - Yoshiaki Maeda
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
| | - Tadashi Matsunaga
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
| | - Tomoko Yoshino
- Division of Biotechnology and Life Science
- Institute of Engineering
- Tokyo University of Agriculture and Technology
- Tokyo
- Japan
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17
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Werley CA, Chien MP, Cohen AE. Ultrawidefield microscope for high-speed fluorescence imaging and targeted optogenetic stimulation. BIOMEDICAL OPTICS EXPRESS 2017; 8:5794-5813. [PMID: 29296505 PMCID: PMC5745120 DOI: 10.1364/boe.8.005794] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 10/16/2017] [Accepted: 10/31/2017] [Indexed: 05/08/2023]
Abstract
The rapid increase in the number and quality of fluorescent reporters and optogenetic actuators has yielded a powerful set of tools for recording and controlling cellular state and function. To achieve the full benefit of these tools requires improved optical systems with high light collection efficiency, high spatial and temporal resolution, and patterned optical stimulation, in a wide field of view (FOV). Here we describe our 'Firefly' microscope, which achieves these goals in a Ø6 mm FOV. The Firefly optical system is optimized for simultaneous photostimulation and fluorescence imaging in cultured cells. All but one of the optical elements are commercially available, yet the microscope achieves 10-fold higher light collection efficiency at its design magnification than the comparable commercially available microscope using the same objective. The Firefly microscope enables all-optical electrophysiology ('Optopatch') in cultured neurons with a throughput and information content unmatched by other neuronal phenotyping systems. This capability opens possibilities in disease modeling and phenotypic drug screening. We also demonstrate applications of the system to voltage and calcium recordings in human induced pluripotent stem cell derived cardiomyocytes.
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Affiliation(s)
- Christopher A. Werley
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St, Cambridge, MA 02138, USA
| | - Miao-Ping Chien
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St, Cambridge, MA 02138, USA
| | - Adam E. Cohen
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St, Cambridge, MA 02138, USA
- Department of Physics, Harvard University, 17 Oxford St, Cambridge, MA 02138, USA
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18
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Binan L, Mazzaferri J, Choquet K, Lorenzo LE, Wang YC, Affar EB, De Koninck Y, Ragoussis J, Kleinman CL, Costantino S. Live single-cell laser tag. Nat Commun 2016; 7:11636. [PMID: 27198043 PMCID: PMC4876456 DOI: 10.1038/ncomms11636] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Accepted: 04/14/2016] [Indexed: 12/18/2022] Open
Abstract
The ability to conduct image-based, non-invasive cell tagging, independent of genetic engineering, is key to cell biology applications. Here we introduce cell labelling via photobleaching (CLaP), a method that enables instant, specific tagging of individual cells based on a wide array of criteria such as shape, behaviour or positional information. CLaP uses laser illumination to crosslink biotin onto the plasma membrane, coupled with streptavidin conjugates to label individual cells for genomic, cell-tracking, flow cytometry or ultra-microscopy applications. We show that the incorporated mark is stable, non-toxic, retained for several days, and transferred by cell division but not to adjacent cells in culture. To demonstrate the potential of CLaP for genomic applications, we combine CLaP with microfluidics-based single-cell capture followed by transcriptome-wide next-generation sequencing. Finally, we show that CLaP can also be exploited for inducing transient cell adhesion to substrates for microengineering cultures with spatially patterned cell types. Cell labelling in a non-invasive and genetic engineering-free manner is crucial to cell biology applications. Here the authors develop cell labelling via photobleaching (CLaP), that uses laser illumination to label individual cells for genomics, cell-tracking, flow cytometry or ultra-microscopy.
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Affiliation(s)
- Loïc Binan
- Research Center of the Maisonneuve-Rosemont Hospital, Montreal, Quebec, Canada.,Department of Ophthalmology, Université de Montréal, Montreal, Quebec, Canada
| | - Javier Mazzaferri
- Research Center of the Maisonneuve-Rosemont Hospital, Montreal, Quebec, Canada
| | - Karine Choquet
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | | | - Yu Chang Wang
- McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada
| | - El Bachir Affar
- Research Center of the Maisonneuve-Rosemont Hospital, Montreal, Quebec, Canada.,Department of Medecine, Université de Montréal, Montreal, Quebec, Canada
| | - Yves De Koninck
- Institut Universitaire en Santé Mentale de Québec, Québec, Quebec, Canada.,Department of Psychiatry and Neuroscience, Université Laval, Québec, Quebec, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada.,Center of Innovation in Personalized Medicine, Cancer and Mutagen Unit, King Fahd Center for Medical Research, Department of Biochemistry, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Claudia L Kleinman
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Santiago Costantino
- Research Center of the Maisonneuve-Rosemont Hospital, Montreal, Quebec, Canada.,Department of Ophthalmology, Université de Montréal, Montreal, Quebec, Canada
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19
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Li W, Wang J, Ren J, Qu X. Endogenous signalling control of cell adhesion by using aptamer functionalized biocompatible hydrogel. Chem Sci 2015; 6:6762-6768. [PMID: 28757967 PMCID: PMC5508704 DOI: 10.1039/c5sc02565f] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 08/26/2015] [Indexed: 11/28/2022] Open
Abstract
Design of biological signal-responsive biomaterials is essential for controlling cell-cell and cell-matrix interactions. Herein, we developed a dynamic hydrogel to control cell adhesion with biological signals in a cellular microenvironment. The basic principle was based on using nucleic acid aptamer to recognize cell signalling and control the display of bioligands on the hydrogel. Not only exogenous signalling but also endogenous signalling secreted by surrounding cells could activate the dynamic scaffold and tune the cell adhesion state. Since diverse aptamers have been developed, our design can be extended to multiple biological inputs. The biochemical signal-responsive system will greatly enhance the understanding of complex biological processes as well as the ability to manipulate cellular behaviors.
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Affiliation(s)
- Wen Li
- Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resource Utilization , Changchun Institute of Applied Chemistry , Chinese Academy of Sciences , Changchun , Jilin 130022 , P. R. China .
- University of Chinese Academy of Sciences , Beijing , 100039 , P. R. China
| | - Jiasi Wang
- Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resource Utilization , Changchun Institute of Applied Chemistry , Chinese Academy of Sciences , Changchun , Jilin 130022 , P. R. China .
- University of Chinese Academy of Sciences , Beijing , 100039 , P. R. China
| | - Jinsong Ren
- Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resource Utilization , Changchun Institute of Applied Chemistry , Chinese Academy of Sciences , Changchun , Jilin 130022 , P. R. China .
| | - Xiaogang Qu
- Laboratory of Chemical Biology and State Key Laboratory of Rare Earth Resource Utilization , Changchun Institute of Applied Chemistry , Chinese Academy of Sciences , Changchun , Jilin 130022 , P. R. China .
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