1
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Zhuang S, Semenec L, Nagy SS, Cain AK, Inglis DW. High-precision screening and sorting of double emulsion droplets. Cytometry A 2024. [PMID: 38634684 DOI: 10.1002/cyto.a.24842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/25/2024] [Accepted: 04/04/2024] [Indexed: 04/19/2024]
Abstract
Mounting evidence suggests that cell populations are extremely heterogeneous, with individual cells fulfilling different roles within the population. Flow cytometry (FC) is a high-throughput tool for single-cell analysis that works at high optical resolution. Sub-populations with unique properties can be screened, isolated and sorted through fluorescence-activated cell sorting (FACS), using intracellular fluorescent products or surface-tagged fluorescent products of interest. However, traditional FC and FACS methods cannot identify or isolate cells that secrete extracellular products of interest. Double emulsion (DE) droplets are an innovative approach to retaining these extracellular products so cells producing them can be identified and isolated with FC and FACS. The water-in-oil-in-water structure makes DE droplets compatible with the sheath flow of flow cytometry. Single cells can be encapsulated with other reagents into DEs, which act as pico-reactors. These droplets allow biological activities to take place while allowing for cell cultivation monitoring, rare mutant identification, and cellular events characterization. However, using DEs in FACS presents technical challenges, including rupture of DEs, poor accuracy and low sorting efficiency. This study presents high-performance sorting using fluorescent beads (as simulants for cells). This study aims to guide researchers in the use of DE-based flow cytometry, offering insights into how to resolve the technical difficulties associated with DE-based screening and sorting using FC.
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Affiliation(s)
- Siyuan Zhuang
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Lucie Semenec
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Stephanie S Nagy
- ARC Centre of Excellence in Synthetic Biology, School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Amy K Cain
- School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - David W Inglis
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia
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2
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Robinson JP, Ostafe R, Iyengar SN, Rajwa B, Fischer R. Flow Cytometry: The Next Revolution. Cells 2023; 12:1875. [PMID: 37508539 PMCID: PMC10378642 DOI: 10.3390/cells12141875] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/06/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Unmasking the subtleties of the immune system requires both a comprehensive knowledge base and the ability to interrogate that system with intimate sensitivity. That task, to a considerable extent, has been handled by an iterative expansion in flow cytometry methods, both in technological capability and also in accompanying advances in informatics. As the field of fluorescence-based cytomics matured, it reached a technological barrier at around 30 parameter analyses, which stalled the field until spectral flow cytometry created a fundamental transformation that will likely lead to the potential of 100 simultaneous parameter analyses within a few years. The simultaneous advance in informatics has now become a watershed moment for the field as it competes with mature systematic approaches such as genomics and proteomics, allowing cytomics to take a seat at the multi-omics table. In addition, recent technological advances try to combine the speed of flow systems with other detection methods, in addition to fluorescence alone, which will make flow-based instruments even more indispensable in any biological laboratory. This paper outlines current approaches in cell analysis and detection methods, discusses traditional and microfluidic sorting approaches as well as next-generation instruments, and provides an early look at future opportunities that are likely to arise.
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Affiliation(s)
- J Paul Robinson
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
| | - Raluca Ostafe
- Molecular Evolution, Protein Engineering and Production Facility (PI4D), Purdue University, West Lafayette, IN 47907, USA
| | | | - Bartek Rajwa
- Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA
| | - Rainer Fischer
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA
- Purdue Institute of Inflammation, Immunology and Infectious Diseases, Purdue University, West Lafayette, IN 47907, USA
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3
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Zhang P, Xu L, Chen H, Abate AR. Flow cytometric printing of double emulsions into open droplet arrays. LAB ON A CHIP 2023; 23:2371-2377. [PMID: 37070963 DOI: 10.1039/d3lc00151b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Delivery of double emulsions in air is crucial for their applications in mass spectrometry, bioanalytics, and material synthesis. However, while methods have been developed to generate double emulsions in air, controlled printing of double emulsion droplets has not been achieved yet. In this paper, we present an approach for in-air printing of double emulsions on demand. Our approach pre-encapsulates reagents in an emulsion that is reinjected into the device, and generates double emulsions in a microfluidic printhead with spatially patterned wettability. Our device allows sorting of ejected double emulsion droplets in real-time, allowing deterministic printing of each droplet to be selected with the desired inner cores. Our method provides a general platform for building printed double emulsion droplet arrays of defined composition at scale.
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Affiliation(s)
- Pengfei Zhang
- School of Mechanical Engineering and Automation, Beihang University, Beijing, China
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Linfeng Xu
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Huawei Chen
- School of Mechanical Engineering and Automation, Beihang University, Beijing, China
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
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4
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McCully AL, Loop Yao M, Brower KK, Fordyce PM, Spormann AM. Double emulsions as a high-throughput enrichment and isolation platform for slower-growing microbes. ISME COMMUNICATIONS 2023; 3:47. [PMID: 37160952 PMCID: PMC10169782 DOI: 10.1038/s43705-023-00241-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/27/2023] [Accepted: 04/12/2023] [Indexed: 05/11/2023]
Abstract
Our understanding of in situ microbial physiology is primarily based on physiological characterization of fast-growing and readily-isolatable microbes. Microbial enrichments to obtain novel isolates with slower growth rates or physiologies adapted to low nutrient environments are plagued by intrinsic biases for fastest-growing species when using standard laboratory isolation protocols. New cultivation tools to minimize these biases and enrich for less well-studied taxa are needed. In this study, we developed a high-throughput bacterial enrichment platform based on single cell encapsulation and growth within double emulsions (GrowMiDE). We showed that GrowMiDE can cultivate many different microorganisms and enrich for underrepresented taxa that are never observed in traditional batch enrichments. For example, preventing dominance of the enrichment by fast-growing microbes due to nutrient privatization within the double emulsion droplets allowed cultivation of slower-growing Negativicutes and Methanobacteria from stool samples in rich media enrichment cultures. In competition experiments between growth rate and growth yield specialist strains, GrowMiDE enrichments prevented competition for shared nutrient pools and enriched for slower-growing but more efficient strains. Finally, we demonstrated the compatibility of GrowMiDE with commercial fluorescence-activated cell sorting (FACS) to obtain isolates from GrowMiDE enrichments. Together, GrowMiDE + DE-FACS is a promising new high-throughput enrichment platform that can be easily applied to diverse microbial enrichments or screens.
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Affiliation(s)
- Alexandra L McCully
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA
| | - McKenna Loop Yao
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA
| | - Kara K Brower
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- ChEM-H Institute, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Alfred M Spormann
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA.
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA.
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5
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Khariton M, McClune CJ, Brower KK, Klemm S, Sattely ES, Fordyce PM, Wang B. Alleviating Cell Lysate-Induced Inhibition to Enable RT-PCR from Single Cells in Picoliter-Volume Double Emulsion Droplets. Anal Chem 2023; 95:935-945. [PMID: 36598332 DOI: 10.1021/acs.analchem.2c03475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Microfluidic droplet assays enable single-cell polymerase chain reaction (PCR) and sequencing analyses at unprecedented scales, with most methods encapsulating cells within nanoliter-sized single emulsion droplets (water-in-oil). Encapsulating cells within picoliter double emulsion (DE) (water-in-oil-in-water) allows sorting droplets with commercially available fluorescence-activated cell sorter (FACS) machines, making it possible to isolate single cells based on phenotypes of interest for downstream analyses. However, sorting DE droplets with standard cytometers requires small droplets that can pass FACS nozzles. This poses challenges for molecular biology, as prior reports suggest that reverse transcription (RT) and PCR amplification cannot proceed efficiently at volumes below 1 nL due to cell lysate-induced inhibition. To overcome this limitation, we used a plate-based RT-PCR assay designed to mimic reactions in picoliter droplets to systematically quantify and ameliorate the inhibition. We find that RT-PCR is blocked by lysate-induced cleavage of nucleic acid probes and primers, which can be efficiently alleviated through heat lysis. We further show that the magnitude of inhibition depends on the cell type, but that RT-PCR can proceed in low-picoscale reaction volumes for most mouse and human cell lines tested. Finally, we demonstrate one-step RT-PCR from single cells in 20 pL DE droplets with fluorescence quantifiable via FACS. These results open up new avenues for improving picoscale droplet RT-PCR reactions and expanding microfluidic droplet-based single-cell analysis technologies.
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Affiliation(s)
- Margarita Khariton
- Department of Bioengineering, Stanford University, Stanford, California94305, United States
| | - Conor J McClune
- Department of Chemical Engineering, Stanford University, Stanford, California94305, United States.,Howard Hughes Medical Institute, Stanford University, Stanford, California94305, United States
| | - Kara K Brower
- Department of Bioengineering, Stanford University, Stanford, California94305, United States
| | - Sandy Klemm
- Department of Genetics, Stanford University, Stanford, California94305, United States
| | - Elizabeth S Sattely
- Department of Chemical Engineering, Stanford University, Stanford, California94305, United States.,Howard Hughes Medical Institute, Stanford University, Stanford, California94305, United States
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, California94305, United States.,Department of Genetics, Stanford University, Stanford, California94305, United States.,ChEM-H Institute, Stanford University, Stanford, California94305, United States.,Chan Zuckerberg Biohub, San Francisco, California94110, United States
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, California94305, United States
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6
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Cowell T, Han HS. Double Emulsion Flow Cytometry for Rapid Single Genome Detection. Methods Mol Biol 2023; 2689:155-167. [PMID: 37430053 DOI: 10.1007/978-1-0716-3323-6_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Established techniques in droplet microfluidics have utilized single emulsion (SE) drops to compartmentalize and analyze single cells achieving high-throughput, low input analysis. Building upon this foundation, double emulsion (DE) droplet microfluidics has emerged with distinct advantages in terms of stable compartmentalization, resistance to merging, and most importantly direct compatibility with flow cytometry. In this chapter, we describe a simple-to-fabricate, single-layer DE drop generation device that achieves spatial control over surface wetting with a plasma treatment step. This easy-to-operate device allows for the robust production of single-core DEs with excellent control over the monodispersity. We further explain the use of these DE drops for single-molecule and single-cell assays. Detailed protocols are described to perform single molecule detection using droplet digital PCR in DE drops and automated detection of DE drops on a fluorescence-activated cell sorter (FACS). Due to the wide availability of FACS instruments, DE methods can facilitate the broader adoption of drop-based screening. As the applications of FACS-compatible DE droplets are immensely varied and extend well beyond what can be explored here, this chapter should be seen as an introduction to DE microfluidics.
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Affiliation(s)
- Thomas Cowell
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Hee-Sun Han
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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7
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Zhang H, Huang C, Li Y, Gupte R, Samuel R, Dai J, Guzman A, Sabnis R, de Figueiredo P, Han A. FIDELITY: A quality control system for droplet microfluidics. SCIENCE ADVANCES 2022; 8:eabc9108. [PMID: 35857442 PMCID: PMC9269891 DOI: 10.1126/sciadv.abc9108] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/25/2022] [Indexed: 05/21/2023]
Abstract
Droplet microfluidic systems have been widely deployed to interrogate biological and chemical systems. The major limitations of these systems are the relatively high error rates from critical droplet manipulation functions. To address these limitations, we describe the development of FIDELITY (Flotation and Interdigitated electrode forces on Droplets to Enable Lasting system IntegriTY), a highly sensitive and accurate size-based droplet bandpass filter that leverages the natural buoyancy of aqueous droplets and highly localized dielectrophoretic force generated by interdigitated electrode arrays. Droplet manipulation accuracies greater than 99% were achieved at a throughput of up to 100 droplets/s and separation of droplets that differed in diameter by only 6 μm was demonstrated. Last, the utility of FIDELITY was demonstrated in a droplet size quality control application and also in a droplet-based in vitro transcription/translation workflow. We anticipate FIDELITY to be integrated into a broad range of droplet microfluidic configurations to achieve exceptional operational accuracy.
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Affiliation(s)
- Han Zhang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Can Huang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Yuwen Li
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Rohit Gupte
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Ryan Samuel
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Jing Dai
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Adrian Guzman
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Rushant Sabnis
- Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Paul de Figueiredo
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA
| | - Arum Han
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
- Corresponding author.
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8
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Calhoun SGK, Brower KK, Suja VC, Kim G, Wang N, McCully AL, Kusumaatmaja H, Fuller GG, Fordyce PM. Systematic characterization of effect of flow rates and buffer compositions on double emulsion droplet volumes and stability. LAB ON A CHIP 2022; 22:2315-2330. [PMID: 35593127 PMCID: PMC9195911 DOI: 10.1039/d2lc00229a] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/03/2022] [Indexed: 06/15/2023]
Abstract
Double emulsion droplets (DEs) are water/oil/water droplets that can be sorted via fluorescence-activated cell sorting (FACS), allowing for new opportunities in high-throughput cellular analysis, enzymatic screening, and synthetic biology. These applications require stable, uniform droplets with predictable microreactor volumes. However, predicting DE droplet size, shell thickness, and stability as a function of flow rate has remained challenging for monodisperse single core droplets and those containing biologically-relevant buffers, which influence bulk and interfacial properties. As a result, developing novel DE-based bioassays has typically required extensive initial optimization of flow rates to find conditions that produce stable droplets of the desired size and shell thickness. To address this challenge, we conducted systematic size parameterization quantifying how differences in flow rates and buffer properties (viscosity and interfacial tension at water/oil interfaces) alter droplet size and stability, across 6 inner aqueous buffers used across applications such as cellular lysis, microbial growth, and drug delivery, quantifying the size and shell thickness of >22 000 droplets overall. We restricted our study to stable single core droplets generated in a 2-step dripping-dripping formation regime in a straightforward PDMS device. Using data from 138 unique conditions (flow rates and buffer composition), we also demonstrated that a recent physically-derived size law of Wang et al. can accurately predict double emulsion shell thickness for >95% of observations. Finally, we validated the utility of this size law by using it to accurately predict droplet sizes for a novel bioassay that requires encapsulating growth media for bacteria in droplets. This work has the potential to enable new screening-based biological applications by simplifying novel DE bioassay development.
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Affiliation(s)
- Suzanne G K Calhoun
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Kara K Brower
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
- ChEM-H Institute, Stanford University, Stanford, CA 94305, USA
| | - Vineeth Chandran Suja
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
- School of Engineering and Applied Sciences, Harvard University, MA - 01234, USA
| | - Gaeun Kim
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
| | - Ningning Wang
- School of Energy & Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Alexandra L McCully
- Department of Civil & Environmental Engineering, Stanford University, Stanford, CA 94305, USA
| | | | - Gerald G Fuller
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
- ChEM-H Institute, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg BioHub, San Francisco, CA 94158, USA
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9
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Cowell TW, Dobria A, Han HS. Simplified, Shear Induced Generation of Double Emulsions for Robust Compartmentalization during Single Genome Analysis. ACS APPLIED MATERIALS & INTERFACES 2022; 14:20528-20537. [PMID: 35502700 DOI: 10.1021/acsami.1c22692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Drop microfluidics has driven innovations for high throughput, low input analysis techniques such as single-cell RNA-seq. However, the instability of single emulsion (SE) drops occasionally causes significant merging during drop processing, limiting most applications to single-step reactions in drops. Here, we show that double emulsion (DE) drops address this critical limitation and completely prevent drop contents from mixing. DEs show excellent stability during thermal cycling. More importantly, DEs undergo rupture into the continuous phase instead of merging, preventing content mixing and eliminating unstable drops from the downstream analysis. Due to the lack of drop merging, the monodispersity of drops is maintained throughout a workflow, enabling the deterministic manipulation of drops downstream. We also developed a simple, one-layer DE drop maker compatible with simple surface treatment using a plasma cleaner. The device allows for the robust production of single-core DEs at a wide range of flow rates and better control over the shell thickness, both of which have been significant limitations of conventional two-layer devices. This approach makes the fabrication of DE devices much more accessible, facilitating its broader adoption. Finally, we show that DE droplets eliminate content mixing and maintain compartmentalization of single virus genomes during PCR-based amplification and barcoding, while SEs mixed contents due to merging. With their resistance to content mixing, DE drops have key advantages for multistep reactions in drops, which is limited in SEs due to merging and content mixing.
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Affiliation(s)
- Thomas W Cowell
- Department of Chemistry, University of Illinois at Urbana-Champaign, 505 South Mathews Ave., Urbana, Illinois 61801, United States
| | - Andrew Dobria
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, 600 South Mathews Ave., Urbana, Illinois 61801, United States
| | - Hee-Sun Han
- Department of Chemistry, University of Illinois at Urbana-Champaign, 505 South Mathews Ave., Urbana, Illinois 61801, United States
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, 1206 W Gregory Dr., Urbana, Illinois 61801, United States
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, 405 North Mathews Ave., Urbana, Illinois 61801, United States
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, 600 S Mathews Ave., Urbana, Illinois 61801, United States
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10
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Hatori MN, Modavi C, Xu P, Weisgerber D, Abate AR. Dual-layered hydrogels allow complete genome recovery with nucleic acid cytometry. Biotechnol J 2022; 17:e2100483. [PMID: 35088927 PMCID: PMC9208836 DOI: 10.1002/biot.202100483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/09/2022]
Abstract
Targeting specific cells for sequencing is important for applications in cancer, microbiology, and infectious disease. Nucleic acid cytometry is a powerful approach for accomplishing this because it allows specific cells to be isolated based on sequence biomarkers that are otherwise impossible to detect. However, existing methods require specialized microfluidic devices, limiting adoption. Here, we describe a modified workflow that uses particle-templated emulsification and flow cytometry to conduct the essential steps of cell detection and sorting normally accomplished by microfluidics. Our microfluidic-free workflow allows facile isolation and sequencing of cells, viruses, and nucleic acids and thus provides a powerful enrichment approach for targeted sequencing applications. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Makiko N Hatori
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Cyrus Modavi
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Peng Xu
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Daniel Weisgerber
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA.,Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
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11
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Abstract
![]()
Targeted
sequencing enables sensitive and cost-effective analysis
by focusing resources on molecules of interest. Existing methods,
however, are limited in enrichment power and target capture length.
Here, we present a novel method that uses compound nucleic acid cytometry
to achieve million-fold enrichments of molecules >10 kbp in length
using minimal prior target information. We demonstrate the approach
by sequencing HIV proviruses in infected individuals. Our method is
useful for rare target sequencing in research and clinical applications,
including for identifying cancer-associated mutations or sequencing
viruses infecting cells.
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Affiliation(s)
- Chen Sun
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States
| | - Kai-Chun Chang
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, United States.,California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, California 94158, United States.,Chan Zuckerberg Biohub, San Francisco, California 94158, United States
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12
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An asymmetric flow-focusing droplet generator promotes rapid mixing of reagents. Sci Rep 2021; 11:8797. [PMID: 33888801 PMCID: PMC8062447 DOI: 10.1038/s41598-021-88174-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/22/2021] [Indexed: 12/11/2022] Open
Abstract
Nowadays droplet microfluidics is widely used to perform high throughput assays and for the synthesis of micro- and nanoparticles. These applications usually require packaging several reagents into droplets and their mixing to start a biochemical reaction. For rapid mixing microfluidic devices usually require additional functional elements that make their designs more complex. Here we perform a series of 2D numerical simulations, followed by experimental studies, and introduce a novel asymmetric flow-focusing droplet generator, which enhances mixing during droplet formation due to a 2D or 3D asymmetric vortex, located in the droplet formation area of the microfluidic device. Our results suggest that 2D numerical simulations can be used for qualitative analysis of two-phase flows and droplet generation process in quasi-two-dimensional devices, while the relative simplicity of such simulations allows them to be easily applied to fairly complicated microfluidic geometries. Mixing inside droplets formed in the asymmetric generator occurs up to six times faster than in a conventional symmetric one. The best mixing efficiency is achieved in a specific range of droplet volumes, which can be changed by scaling the geometry of the device. Thus, the droplet generator suggested here can significantly simplify designs of microfluidic devices because it enables both the droplet formation and fast mixing of the reagents within droplets. Moreover, it can be used to precisely estimate reaction kinetics.
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13
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Brower KK, Khariton M, Suzuki PH, Still C, Kim G, Calhoun SGK, Qi LS, Wang B, Fordyce PM. Double Emulsion Picoreactors for High-Throughput Single-Cell Encapsulation and Phenotyping via FACS. Anal Chem 2020; 92:13262-13270. [PMID: 32900183 DOI: 10.1021/acs.analchem.0c02499] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
In the past five years, droplet microfluidic techniques have unlocked new opportunities for the high-throughput genome-wide analysis of single cells, transforming our understanding of cellular diversity and function. However, the field lacks an accessible method to screen and sort droplets based on cellular phenotype upstream of genetic analysis, particularly for large and complex cells. To meet this need, we developed Dropception, a robust, easy-to-use workflow for precise single-cell encapsulation into picoliter-scale double emulsion droplets compatible with high-throughput screening via fluorescence-activated cell sorting (FACS). We demonstrate the capabilities of this method by encapsulating five standardized mammalian cell lines of varying sizes and morphologies as well as a heterogeneous cell mixture of a whole dissociated flatworm (5-25 μm in diameter) within highly monodisperse double emulsions (35 μm in diameter). We optimize for preferential encapsulation of single cells with extremely low multiple-cell loading events (<2% of cell-containing droplets), thereby allowing direct linkage of cellular phenotype to genotype. Across all cell lines, cell loading efficiency approaches the theoretical limit with no observable bias by cell size. FACS measurements reveal the ability to discriminate empty droplets from those containing cells with good agreement to single-cell occupancies quantified via microscopy, establishing robust droplet screening at single-cell resolution. High-throughput FACS screening of cellular picoreactors has the potential to shift the landscape of single-cell droplet microfluidics by expanding the repertoire of current nucleic acid droplet assays to include functional phenotyping.
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Affiliation(s)
- Kara K Brower
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States.,Chem-H Institute, Stanford University, Stanford, California 94305, United States
| | - Margarita Khariton
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Peter H Suzuki
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Chris Still
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California 94305, United States
| | - Gaeun Kim
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States
| | - Suzanne G K Calhoun
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States.,Chem-H Institute, Stanford University, Stanford, California 94305, United States.,Department of Chemical and Systems Biology, Stanford University, Stanford, California 94305, United States
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States.,Department of Developmental Biology, Stanford University, Stanford, California 94305, United States
| | - Polly M Fordyce
- Department of Bioengineering, Stanford University, Stanford, California 94305, United States.,Chem-H Institute, Stanford University, Stanford, California 94305, United States.,Department of Genetics, Stanford University, Stanford, California 94305, United States.,Chan Zuckerburg BioHub, San Francisco, California 94158, United States
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14
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Brower KK, Carswell-Crumpton C, Klemm S, Cruz B, Kim G, Calhoun SGK, Nichols L, Fordyce PM. Double emulsion flow cytometry with high-throughput single droplet isolation and nucleic acid recovery. LAB ON A CHIP 2020; 20:2062-2074. [PMID: 32417874 PMCID: PMC7670282 DOI: 10.1039/d0lc00261e] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Droplet microfluidics has made large impacts in diverse areas such as enzyme evolution, chemical product screening, polymer engineering, and single-cell analysis. However, while droplet reactions have become increasingly sophisticated, phenotyping droplets by a fluorescent signal and sorting them to isolate individual variants-of-interest at high-throughput remains challenging. Here, we present sdDE-FACS (s[combining low line]ingle d[combining low line]roplet D[combining low line]ouble E[combining low line]mulsion-FACS), a new method that uses a standard flow cytometer to phenotype, select, and isolate individual double emulsion droplets of interest. Using a 130 μm nozzle at high sort frequency (12-14 kHz), we demonstrate detection of droplet fluorescence signals with a dynamic range spanning 5 orders of magnitude and robust post-sort recovery of intact double emulsion (DE) droplets using 2 commercially-available FACS instruments. We report the first demonstration of single double emulsion droplet isolation with post-sort recovery efficiencies >70%, equivalent to the capabilities of single-cell FACS. Finally, we establish complete downstream recovery of nucleic acids from single, sorted double emulsion droplets via qPCR with little to no cross-contamination. sdDE-FACS marries the full power of droplet microfluidics with flow cytometry to enable a variety of new droplet assays, including rare variant isolation and multiparameter single-cell analysis.
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Affiliation(s)
- Kara K Brower
- Department of Bioengineering, Stanford University, Stanford, California, USA.
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15
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Xu P, Modavi C, Demaree B, Twigg F, Liang B, Sun C, Zhang W, Abate AR. Microfluidic automated plasmid library enrichment for biosynthetic gene cluster discovery. Nucleic Acids Res 2020; 48:e48. [PMID: 32095820 PMCID: PMC7192590 DOI: 10.1093/nar/gkaa131] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/22/2020] [Accepted: 02/19/2020] [Indexed: 12/13/2022] Open
Abstract
Microbial biosynthetic gene clusters are a valuable source of bioactive molecules. However, because they typically represent a small fraction of genomic material in most metagenomic samples, it remains challenging to deeply sequence them. We present an approach to isolate and sequence gene clusters in metagenomic samples using microfluidic automated plasmid library enrichment. Our approach provides deep coverage of the target gene cluster, facilitating reassembly. We demonstrate the approach by isolating and sequencing type I polyketide synthase gene clusters from an Antarctic soil metagenome. Our method promotes the discovery of functional-related genes and biosynthetic pathways.
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Affiliation(s)
- Peng Xu
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Cyrus Modavi
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Benjamin Demaree
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, CA, USA
| | - Frederick Twigg
- Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA
| | - Benjamin Liang
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chen Sun
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Wenjun Zhang
- Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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16
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Thaler DS, Head MG, Horsley A. Precision public health to inhibit the contagion of disease and move toward a future in which microbes spread health. BMC Infect Dis 2019; 19:120. [PMID: 30727964 PMCID: PMC6364421 DOI: 10.1186/s12879-019-3715-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Accepted: 01/10/2019] [Indexed: 12/15/2022] Open
Abstract
Antimicrobial resistance continues to outpace the development of new chemotherapeutics. Novel pathogens continue to evolve and emerge. Public health innovation has the potential to open a new front in the war of "our wits against their genes" (Joshua Lederberg). Dense sampling coupled to next generation sequencing can increase the spatial and temporal resolution of microbial characterization while sensor technologies precisely map physical parameters relevant to microbial survival and spread. Microbial, physical, and epidemiological big data could be combined to improve prospective risk identification. However, applied in the wrong way, these approaches may not realize their maximum potential benefits and could even do harm. Minimizing microbial-human interactions would be a mistake. There is evidence that microbes previously thought of at best "benign" may actually enhance human health. Benign and health-promoting microbiomes may, or may not, spread via mechanisms similar to pathogens. Infectious vaccines are approaching readiness to make enhanced contributions to herd immunity. The rigorously defined nature of infectious vaccines contrasts with indigenous "benign or health-promoting microbiomes" but they may converge. A "microbial Neolithic revolution" is a possible future in which human microbial-associations are understood and managed analogously to the macro-agriculture of plants and animals. Tradeoffs need to be framed in order to understand health-promoting potentials of benign, and/or health-promoting microbiomes and infectious vaccines while also discouraging pathogens. Super-spreaders are currently defined as individuals who play an outsized role in the contagion of infectious disease. A key unanswered question is whether the super-spreader concept may apply similarly to health-promoting microbes. The complex interactions of individual rights, community health, pathogen contagion, the spread of benign, and of health-promoting microbiomes including infectious vaccines require study. Advancing the detailed understanding of heterogeneity in microbial spread is very likely to yield important insights relevant to public health.
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Affiliation(s)
- David S. Thaler
- Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH-4056 Basel, Switzerland
| | - Michael G. Head
- Clinical Informatics Research Unit, Faculty of Medicine, University of Southampton, University Hospital Southampton, Coxford Road, Southampton, SO16 6YD UK
| | - Andrew Horsley
- Research School of Physics and Engineering, The Australian National University, Mills Rd., Canberra, ACT 2601 Australia
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17
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Abstract
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The compartmentalization of reactions
in monodispersed droplets
is valuable for applications across biology. However, the requirement
of microfluidics to partition the sample into monodispersed droplets
is a significant barrier that impedes implementation. Here, we introduce
particle-templated emulsification, a method to encapsulate samples
in monodispersed emulsions without microfluidics. By vortexing a mixture
of hydrogel particles and sample solution, we encapsulate the sample
in monodispersed emulsions that are useful for most droplet applications.
We illustrate the method with ddPCR and single cell culture. The ability
to encapsulate samples in monodispersed droplets without microfluidics
should facilitate the implementation of compartmentalized reactions
in biology.
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Affiliation(s)
- Makiko N Hatori
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences , University of California , San Francisco , California 94158 , United States
| | - Samuel C Kim
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences , University of California , San Francisco , California 94158 , United States
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences , University of California , San Francisco , California 94158 , United States.,Chan Zuckerberg Biohub , San Francisco , California 94158 , United States
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18
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Sukovich DJ, Kim SC, Ahmed N, Abate AR. Bulk double emulsification for flow cytometric analysis of microfluidic droplets. Analyst 2017; 142:4618-4622. [PMID: 29131209 PMCID: PMC5997486 DOI: 10.1039/c7an01695f] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Droplet microfluidics is valuable for applications in chemistry and biology, but generates massive numbers of droplets that must be analyzed and sorted. Here, we describe a simple approach to bulk double emulsify microfluidic emulsions for analysis and sorting with commercial flow cytometers. We illustrate the method by using it to identify droplets based on nucleic acid content. Though simple, our method provides a general approach for analyzing and sorting microfluidic droplets without custom microfluidic double emulsifiers or sorters.
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Affiliation(s)
- David J Sukovich
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA 94158, USA.
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19
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Gach PC, Iwai K, Kim PW, Hillson NJ, Singh AK. Droplet microfluidics for synthetic biology. LAB ON A CHIP 2017; 17:3388-3400. [PMID: 28820204 DOI: 10.1039/c7lc00576h] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Synthetic biology is an interdisciplinary field that aims to engineer biological systems for useful purposes. Organism engineering often requires the optimization of individual genes and/or entire biological pathways (consisting of multiple genes). Advances in DNA sequencing and synthesis have recently begun to enable the possibility of evaluating thousands of gene variants and hundreds of thousands of gene combinations. However, such large-scale optimization experiments remain cost-prohibitive to researchers following traditional molecular biology practices, which are frequently labor-intensive and suffer from poor reproducibility. Liquid handling robotics may reduce labor and improve reproducibility, but are themselves expensive and thus inaccessible to most researchers. Microfluidic platforms offer a lower entry price point alternative to robotics, and maintain high throughput and reproducibility while further reducing operating costs through diminished reagent volume requirements. Droplet microfluidics have shown exceptional promise for synthetic biology experiments, including DNA assembly, transformation/transfection, culturing, cell sorting, phenotypic assays, artificial cells and genetic circuits.
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Affiliation(s)
- Philip C Gach
- Technology Division, DOE Joint BioEnergy Institute, Emeryville, California 94608, USA
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20
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Caen O, Lu H, Nizard P, Taly V. Microfluidics as a Strategic Player to Decipher Single-Cell Omics? Trends Biotechnol 2017. [DOI: 10.1016/j.tibtech.2017.05.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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