1
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Bartkova S, Zapotoczna M, Sanka I, Scheler O. A Guide to Biodetection in Droplets. Anal Chem 2024; 96:9745-9755. [PMID: 38842026 PMCID: PMC11190884 DOI: 10.1021/acs.analchem.3c04282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Droplet-based methods for optical biodetection enable unprecedented high-throughput experimental parameters. The methods, however, remain underused due to the accompanying multidisciplinary and complicated experimental workflows. Here, we provide a tutorial for droplet-based optical biodetection workflows with a focus on the key aspect of label selection. By discussing and guiding readers through recent state-of-the-art studies, we aim to make droplet-based approaches more accessible to the general scientific public.
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Affiliation(s)
- Simona Bartkova
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
| | - Marta Zapotoczna
- Faculty
of Biology, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland
| | - Immanuel Sanka
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
| | - Ott Scheler
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
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2
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Fang M, Wang Y, Yang T, Zhang J, Yu H, Luo Z, Su B, Lin X. Nucleic Acid Plate Culture: Label-Free and Naked-Eye-Based Digital Loop-Mediated Isothermal Amplification in Hydrogel with Machine Learning. ACS Sens 2024; 9:2010-2019. [PMID: 38602267 DOI: 10.1021/acssensors.3c02807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Digital nucleic acid amplification enables the absolute quantification of single molecules. However, due to the ultrasmall reaction volume in the digital system (i.e., short light path), most digital systems are limited to fluorescence signals, while label-free and naked-eye readout remain challenging. In this work, we report a digital nucleic acid plate culture method for label-free, ultrasimple, and naked-eye nucleic acid analysis. As simple as the bacteria culture, the nanoconfined digital loop-mediated isothermal amplification was performed by using polyacrylamide (PAM) hydrogel as the amplification matrix. The nanoconfinement of PAM hydrogel with an ionic polymer chain can remarkably accelerate the amplification of target nucleic acids and the growth of inorganic byproducts, namely, magnesium pyrophosphate particles (MPPs). Compared to that in aqueous solutions, MPPs trapped in the hydrogel with enhanced light scattering characteristics are clearly visible to the naked eye, forming white "colony" spots that can be simply counted in a label-free and instrument-free manner. The MPPs can also be photographed by a smartphone and automatically counted by a machine-learning algorithm to realize the absolute quantification of antibiotic-resistant pathogens in diverse real samples.
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Affiliation(s)
- Mei Fang
- College of Biosystems Engineering and Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
| | - Yiru Wang
- College of Biosystems Engineering and Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
| | - Tao Yang
- College of Biosystems Engineering and Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
| | - Jing Zhang
- Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Hanry Yu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Bin Su
- Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
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3
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Li X, Xu L, Demaree B, Noecker C, Bisanz JE, Weisgerber DW, Modavi C, Turnbaugh PJ, Abate AR. Microbiome single cell atlases generated with a commercial instrument. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.08.08.551713. [PMID: 37609281 PMCID: PMC10441329 DOI: 10.1101/2023.08.08.551713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes' genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.
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4
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Bowers RM, Gonzalez-Pena V, Wardhani K, Goudeau D, Blow MJ, Udwary D, Klein D, Vill AC, Brito IL, Woyke T, Malmstrom R, Gawad C. scMicrobe PTA: Near Complete Genomes from Single Bacterial Cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.30.577819. [PMID: 38352480 PMCID: PMC10862798 DOI: 10.1101/2024.01.30.577819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Microbial genomes produced by single-cell amplification are largely incomplete. Here, we show that primary template amplification (PTA), a novel single-cell amplification technique, generated nearly complete genomes from three bacterial isolate species. Furthermore, taxonomically diverse genomes recovered from aquatic and soil microbiomes using PTA had a median completeness of 81%, whereas genomes from standard amplification approaches were usually <30% complete. PTA-derived genomes also included more associated viruses and biosynthetic gene clusters.
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Affiliation(s)
- Robert M Bowers
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Kartika Wardhani
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Danielle Goudeau
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Matthew James Blow
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Daniel Udwary
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - David Klein
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | | | | | - Tanja Woyke
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Rex Malmstrom
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Charles Gawad
- Department of Pediatrics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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5
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Jiao Y, Gao L, Zhang T, He Z, Zheng SY, Liu W. Profiling DNA Cargos in Single Extracellular Vesicles via Hydrogel-Based Droplet Digital Multiple Displacement Amplification. Anal Chem 2024; 96:1293-1300. [PMID: 38189229 DOI: 10.1021/acs.analchem.3c04666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Due to the substantial heterogeneity among extracellular vesicle (EV) subpopulations, single-EV analysis has the potential to elucidate the mechanisms behind EV biogenesis and shed light on the myriad functions, leading to the development of novel diagnostics and therapeutics. While many studies have been devoted to reveal between-EV variations in surface proteins and RNAs, DNA cargos (EV-DNA) have received little attention. Here, we report a hydrogel-based droplet digital multiple displacement amplification approach for the comprehensive analysis of EV-DNA at the single-EV level. Single EVs are dispersed in thousands of hydrogel droplets and lysed for DNA amplification and identification. The droplet microfluidics strategy empowers the assay with single-molecule sensitivity and capability for absolute quantification of DNA-containing EVs. In particular, our findings indicate that 5-40% EVs are associated with DNA, depending on the cell of origin. Large EVs exhibit a higher proportion of DNA-containing EVs and a more substantial presence of intraluminal DNA, compared to small EVs. These DNA-containing EVs carry multiple DNA fragments on average. Furthermore, both double-stranded DNA and single-stranded DNA were able to be detected at the single-EV level. Utilizing this method, the abundance, distribution, and biophysical properties of EV-DNA in various EV populations are evaluated. The DNA level within EVs provides insight into the status of the originating cells and offers valuable information on the outcomes of anticancer treatments. The utilization of single-EV analysis for EV-DNA holds significant promise for early cancer detection and treatment response monitoring.
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Affiliation(s)
- Yufeng Jiao
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
| | - Liyang Gao
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
| | - Tao Zhang
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
| | - Ziyi He
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | | | - Wu Liu
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
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6
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Bowers RM, Gonzalez-Pena V, Wardhani K, Goudeau D, Blow MJ, Udwary D, Klein D, Vill AC, Brito IL, Woyke T, Malmstrom RR, Gawad C. scMicrobe PTA: near complete genomes from single bacterial cells. ISME COMMUNICATIONS 2024; 4:ycae085. [PMID: 39021442 PMCID: PMC11253033 DOI: 10.1093/ismeco/ycae085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/05/2024] [Indexed: 07/20/2024]
Abstract
Microbial genomes produced by standard single-cell amplification methods are largely incomplete. Here, we show that primary template-directed amplification (PTA), a novel single-cell amplification technique, generated nearly complete genomes from three bacterial isolate species. Furthermore, taxonomically diverse genomes recovered from aquatic and soil microbiomes using PTA had a median completeness of 81%, whereas genomes from standard multiple displacement amplification-based approaches were usually <30% complete. PTA-derived genomes also included more associated viruses and biosynthetic gene clusters.
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Affiliation(s)
- Robert M Bowers
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | | | - Kartika Wardhani
- Department of Pediatrics, Stanford University, Stanford, CA, United States
| | - Danielle Goudeau
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Matthew James Blow
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Daniel Udwary
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - David Klein
- Department of Pediatrics, Stanford University, Stanford, CA, United States
| | - Albert C Vill
- Chan Zuckerberg Biohub, San Francisco, CA, United States
| | - Ilana L Brito
- Chan Zuckerberg Biohub, San Francisco, CA, United States
| | - Tanja Woyke
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Rex R Malmstrom
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Charles Gawad
- Department of Pediatrics, Stanford University, Stanford, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
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7
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Yang T, Luo Z, Wang Y, Li L, Xu Y, Lin X. Hydrogel Digital LAMP with Suppressed Nonspecific Amplification for Rapid Diagnostics of Fungal Disease in Fresh Fruits. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:18636-18644. [PMID: 37975529 DOI: 10.1021/acs.jafc.3c06141] [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: 11/19/2023]
Abstract
Fungal disease, mainly caused by Alternaria alternata infection, can generate severe economic losses and health hazards. However, rapid nucleic acid test without nonspecific reaction still remains challenging. Here, we reported the hydrogel digital loop-mediated isothermal amplification (HdLAMP) with suppressed nonspecific amplification for rapid diagnosis of fungi in fresh fruits. The introduction of hydrogel offered a simple platform to achieve absolute quantification. By breaking the 3'end G-C anchor, the nonspecific amplification of primers could be suppressed, while the specific positive reaction in HdLAMP was not affected. This method could be applied for A. alternata detection in 9 min with excellent performances in speed, specificity, reproducibility, sensitivity, and detection limit down to a single copy. Finally, the real diseased jujubes during postharvest storage were successfully diagnosed as an A. alternata infection. HdLAMP promotes the molecular diagnosis of fungal diseases and broadens the application of hydrogels in the agricultural and food industry.
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Affiliation(s)
- Tao Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Yiru Wang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Li Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China
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8
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Lee SM, Balakrishnan HK, Doeven EH, Yuan D, Guijt RM. Chemical Trends in Sample Preparation for Nucleic Acid Amplification Testing (NAAT): A Review. BIOSENSORS 2023; 13:980. [PMID: 37998155 PMCID: PMC10669371 DOI: 10.3390/bios13110980] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/02/2023] [Accepted: 11/07/2023] [Indexed: 11/25/2023]
Abstract
Nucleic acid amplification testing facilitates the detection of disease through specific genomic sequences and is attractive for point-of-need testing (PONT); in particular, the early detection of microorganisms can alert early response systems to protect the public and ecosystems from widespread outbreaks of biological threats, including infectious diseases. Prior to nucleic acid amplification and detection, extensive sample preparation techniques are required to free nucleic acids and extract them from the sample matrix. Sample preparation is critical to maximize the sensitivity and reliability of testing. As the enzymatic amplification reactions can be sensitive to inhibitors from the sample, as well as from chemicals used for lysis and extraction, avoiding inhibition is a significant challenge, particularly when minimising liquid handling steps is also desirable for the translation of the assay to a portable format for PONT. The reagents used in sample preparation for nucleic acid testing, covering lysis and NA extraction (binding, washing, and elution), are reviewed with a focus on their suitability for use in PONT.
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Affiliation(s)
- Soo Min Lee
- Centre for Regional and Rural Futures (CeRRF), Deakin University, Locked Bag 20000, Geelong, VIC 3220, Australia
| | - Hari Kalathil Balakrishnan
- Department of Chemical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates;
| | - Egan H. Doeven
- School of Life and Environmental Sciences, Deakin University, Locked Bag 20000, Geelong, VIC 3220, Australia;
| | - Dan Yuan
- School of Mechanical and Mining Engineering, The University of Queensland, Brisbane, QLD 4072, Australia;
| | - Rosanne M. Guijt
- Centre for Regional and Rural Futures (CeRRF), Deakin University, Locked Bag 20000, Geelong, VIC 3220, Australia
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9
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Abate A, Li X, Xu L, Demaree B, Noecker C, Bisanz J, Weisgerber D, Modavi C, Turnbaugh P. Microbiome single cell atlases generated with a commercial instrument. RESEARCH SQUARE 2023:rs.3.rs-3253785. [PMID: 37790580 PMCID: PMC10543498 DOI: 10.21203/rs.3.rs-3253785/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes' genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.
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10
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Qian N, Weinstein JA. Volumetric imaging of an intact organism by a distributed molecular network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.11.553025. [PMID: 37645933 PMCID: PMC10462061 DOI: 10.1101/2023.08.11.553025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Lymphatic, nervous, and tumoral tissues, among others, exhibit physiology that emerges from three-dimensional interactions between genetically unique cells. A technology capable of volumetrically imaging transcriptomes, genotypes, and morphologies in a single de novo measurement would therefore provide a critical view into the biological complexity of living systems. Here we achieve this by extending DNA microscopy, an imaging modality that encodes a spatio-genetic map of a specimen via a massive distributed network of DNA molecules inside it, to three dimensions and multiple length scales in developing zebrafish embryos.
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Affiliation(s)
- Nianchao Qian
- Department of Medicine, Section of Genetic Medicine, University of Chicago
| | - Joshua A. Weinstein
- Department of Medicine, Section of Genetic Medicine, University of Chicago
- Pritzker School of Molecular Engineering, University of Chicago
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11
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Zhang J, Su X, Wang Y, Wang X, Zhou S, Jia H, Jing X, Gong Y, Wang J, Xu J. Improved single-cell genome amplification by a high-efficiency phi29 DNA polymerase. Front Bioeng Biotechnol 2023; 11:1233856. [PMID: 37456715 PMCID: PMC10347390 DOI: 10.3389/fbioe.2023.1233856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Single-cell genomic whole genome amplification (WGA) is a crucial step in single-cell sequencing, yet its low amplification efficiency, incomplete and uneven genome amplification still hinder the throughput and efficiency of single-cell sequencing workflows. Here we introduce a process called Improved Single-cell Genome Amplification (iSGA), in which the whole single-cell sequencing cycle is completed in a high-efficient and high-coverage manner, through phi29 DNA polymerase engineering and process engineering. By establishing a disulfide bond of F137C-A377C, the amplification ability of the enzyme was improved to that of single-cell. By further protein engineering and process engineering, a supreme enzyme named HotJa Phi29 DNA Polymerase was developed and showed significantly better coverage (99.75%) at a higher temperature (40°C). High single-cell genome amplification ability and high coverage (93.59%) were also achieved for commercial probiotic samples. iSGA is more efficient and robust than the wild-type phi29 DNA polymerase, and it is 2.03-fold more efficient and 10.89-fold cheaper than the commercial Thermo Scientific EquiPhi29 DNA Polymerase. These advantages promise its broad applications in large-scale single-cell sequencing.
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Affiliation(s)
- Jia Zhang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaolu Su
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yefei Wang
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Synthetic Biology, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
| | - Xiaohang Wang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shiqi Zhou
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Jia
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Jing
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yanhai Gong
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jichao Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, Shandong, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China
- Shandong Energy Institute, Qingdao, Shandong, China
- Qingdao New Energy Shandong Laboratory, Qingdao, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
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12
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Back to Basics: A Simplified Improvement to Multiple Displacement Amplification for Microbial Single-Cell Genomics. Int J Mol Sci 2023; 24:ijms24054270. [PMID: 36901710 PMCID: PMC10002425 DOI: 10.3390/ijms24054270] [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: 10/31/2022] [Revised: 01/23/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Microbial single-cell genomics (SCG) provides access to the genomes of rare and uncultured microorganisms and is a complementary method to metagenomics. Due to the femtogram-levels of DNA in a single microbial cell, sequencing the genome requires whole genome amplification (WGA) as a preliminary step. However, the most common WGA method, multiple displacement amplification (MDA), is known to be costly and biased against specific genomic regions, preventing high-throughput applications and resulting in uneven genome coverage. Thus, obtaining high-quality genomes from many taxa, especially minority members of microbial communities, becomes difficult. Here, we present a volume reduction approach that significantly reduces costs while improving genome coverage and uniformity of DNA amplification products in standard 384-well plates. Our results demonstrate that further volume reduction in specialized and complex setups (e.g., microfluidic chips) is likely unnecessary to obtain higher-quality microbial genomes. This volume reduction method makes SCG more feasible for future studies, thus helping to broaden our knowledge on the diversity and function of understudied and uncharacterized microorganisms in the environment.
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13
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Yang T, Li D, Yan Y, Ettoumi FE, Wu RA, Luo Z, Yu H, Lin X. Ultrafast and absolute quantification of SARS-CoV-2 on food using hydrogel RT-LAMP without pre-lysis. JOURNAL OF HAZARDOUS MATERIALS 2023; 442:130050. [PMID: 36182888 PMCID: PMC9507997 DOI: 10.1016/j.jhazmat.2022.130050] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/12/2022] [Accepted: 09/21/2022] [Indexed: 05/13/2023]
Abstract
With rapid growing of environmental contact infection, more and more attentions are focused on the precise and absolute quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus on cold chain foods via point-of-care test (POCT). In this work, we propose a hydrogel-mediated reverse transcription loop-mediated isothermal amplification (RT-LAMP) for ultrafast and absolute quantification of SARS-CoV-2. Cross-linked hydrogel offers opportunities for digital single molecule amplification in nanoconfined spaces, facilitating the virus lysis, RNA reverse transcription and amplification process, which is about 3.4-fold faster than conventional bulk RT-LAMP. Ultrafast quantification of SARS-CoV-2 is accomplished in 15 min without virus pre-lysis and RNA extraction. The sensitivity can accurately quantify SARS-CoV-2 down to 0.5 copy/μL. Furthermore, the integrated system has an excellent specificity, reproducibility and storage stability, which can be also used to test SARS-CoV-2 on various cold chain fruits. The developed ultrafast and simple hydrogel RT-LAMP will be an enormous potential for surveillance of virus or other hazardous microbes in environmental, agricultural and food industry.
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Affiliation(s)
- Tao Yang
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China
| | - Dong Li
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China
| | - Yuhua Yan
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China
| | - Fatima-Ezzahra Ettoumi
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China
| | - Ricardo A Wu
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China
| | - Zisheng Luo
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China; Ningbo Research Institute, Zhejiang University, 310058, China
| | - Hanry Yu
- Critical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore
| | - Xingyu Lin
- College of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China; Ningbo Research Institute, Zhejiang University, 310058, China.
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14
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Schmidt K, Hageneder S, Lechner B, Zbiral B, Fossati S, Ahmadi Y, Minunni M, Toca-Herrera JL, Reimhult E, Barisic I, Dostalek J. Rolling Circle Amplification Tailored for Plasmonic Biosensors: From Ensemble to Single-Molecule Detection. ACS APPLIED MATERIALS & INTERFACES 2022; 14:55017-55027. [PMID: 36446038 PMCID: PMC9756284 DOI: 10.1021/acsami.2c14500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
We report on the tailoring of rolling circle amplification (RCA) for affinity biosensors relying on the optical probing of their surface with confined surface plasmon field. Affinity capture of the target analyte at the metallic sensor surface (e.g., by using immunoassays) is followed by the RCA step for subsequent readout based on increased refractive index (surface plasmon resonance, SPR) or RCA-incorporated high number of fluorophores (in surface plasmon-enhanced fluorescence, PEF). By combining SPR and PEF methods, this work investigates the impact of the conformation of long RCA-generated single-stranded DNA (ssDNA) chains to the plasmonic sensor response enhancement. In order to confine the RCA reaction within the evanescent surface plasmon field and hence maximize the sensor response, an interface carrying analyte-capturing molecules and additional guiding ssDNA strands (complementary to the repeating segments of RCA-generated chains) is developed. When using the circular padlock probe as a model target analyte, the PEF readout shows that the reported RCA implementation improves the limit of detection (LOD) from 13 pM to high femtomolar concentration when compared to direct labeling. The respective enhancement factor is of about 2 orders of magnitude, which agrees with the maximum number of fluorophore emitters attached to the RCA chain that is folded in the evanescent surface plasmon field by the developed biointerface. Moreover, the RCA allows facile visualizing of individual binding events by fluorescence microscopy, which enables direct counting of captured molecules. This approach offers a versatile route toward a fast digital readout format of single-molecule detection with further reduced LOD.
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Affiliation(s)
- Katharina Schmidt
- Biosensor
Technologies, AIT-Austrian Institute of
Technology GmbH, Konrad-Lorenz-Straße 24, 3430 Tulln an der Donau, Austria
- CEST
Competence Center for Electrochemical Surface Technologies, 3430 Tulln an der
Donau, Austria
| | - Simone Hageneder
- Biosensor
Technologies, AIT-Austrian Institute of
Technology GmbH, Konrad-Lorenz-Straße 24, 3430 Tulln an der Donau, Austria
| | - Bernadette Lechner
- Biosensor
Technologies, AIT-Austrian Institute of
Technology GmbH, Konrad-Lorenz-Straße 24, 3430 Tulln an der Donau, Austria
- CEST
Competence Center for Electrochemical Surface Technologies, 3430 Tulln an der
Donau, Austria
| | - Barbara Zbiral
- Department
of Nanobiotechnology, University of Natural
Resources and Life Sciences Vienna (BOKU), 1190 Vienna, Austria
| | - Stefan Fossati
- Biosensor
Technologies, AIT-Austrian Institute of
Technology GmbH, Konrad-Lorenz-Straße 24, 3430 Tulln an der Donau, Austria
| | - Yasaman Ahmadi
- Molecular
Diagnostics, Health & Environment, AIT
Austrian Institute of Technology GmbH, 1210 Vienna, Austria
| | - Maria Minunni
- Department
of Chemistry “Ugo Schiff”, University of Florence, via della Lastruccia 3-13, Sesto Fiorentino, 50019 Firenze, Italy
| | - Jose Luis Toca-Herrera
- Department
of Nanobiotechnology, University of Natural
Resources and Life Sciences Vienna (BOKU), 1190 Vienna, Austria
| | - Erik Reimhult
- Department
of Nanobiotechnology, University of Natural
Resources and Life Sciences Vienna (BOKU), 1190 Vienna, Austria
| | - Ivan Barisic
- Molecular
Diagnostics, Health & Environment, AIT
Austrian Institute of Technology GmbH, 1210 Vienna, Austria
| | - Jakub Dostalek
- Biosensor
Technologies, AIT-Austrian Institute of
Technology GmbH, Konrad-Lorenz-Straße 24, 3430 Tulln an der Donau, Austria
- FZU-Institute
of Physics, Czech Academy of Sciences, Na Slovance 2, 182 21 Prague, Czech Republic
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15
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Aoki H, Masahiro Y, Shimizu M, Hongoh Y, Ohkuma M, Yamagata Y. Agarose gel microcapsules enable easy-to-prepare, picolitre-scale, single-cell genomics, yielding high-coverage genome sequences. Sci Rep 2022; 12:17014. [PMID: 36257967 PMCID: PMC9579161 DOI: 10.1038/s41598-022-20923-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 09/21/2022] [Indexed: 12/29/2022] Open
Abstract
A novel type of agarose gel microcapsule (AGM), consisting of an alginate picolitre sol core and an agarose gel shell, was developed to obtain high-quality, single-cell, amplified genomic DNA of bacteria. The AGM is easy to prepare in a stable emulsion with oil of water-equivalent density, which prevents AGM aggregation, with only standard laboratory equipment. Single cells from a pure culture of Escherichia coli, a mock community comprising 15 strains of human gut bacteria, and a termite gut bacterial community were encapsulated within AGMs, and their genomic DNA samples were prepared with massively parallel amplifications in a tube. The genome sequencing did not need second-round amplification and showed an average genome completeness that was much higher than that obtained using a conventional amplification method on the microlitre scale, regardless of the genomic guanine-cytosine content. Our novel method using AGM will allow many researchers to perform single-cell genomics easily and effectively, and can accelerate genomic analysis of yet-uncultured microorganisms.
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Affiliation(s)
- Hiroyoshi Aoki
- grid.509457.aUltrahigh Precision Optics Technology Team, Advanced Photonics Technology Group, RIKEN Center for Advanced Photonics, 3-1, Hirosawa, Wako, Saitama 351-0198 Japan
| | - Yuki Masahiro
- grid.509462.cJapan Collection of Microorganisms (JCM), RIKEN BioResource Research Center, 3-1-1, Koyadai, Tsukuba, Ibaraki 305-0074 Japan
| | - Michiru Shimizu
- grid.509462.cJapan Collection of Microorganisms (JCM), RIKEN BioResource Research Center, 3-1-1, Koyadai, Tsukuba, Ibaraki 305-0074 Japan
| | - Yuichi Hongoh
- grid.509462.cJapan Collection of Microorganisms (JCM), RIKEN BioResource Research Center, 3-1-1, Koyadai, Tsukuba, Ibaraki 305-0074 Japan ,grid.32197.3e0000 0001 2179 2105School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Moriya Ohkuma
- grid.509462.cJapan Collection of Microorganisms (JCM), RIKEN BioResource Research Center, 3-1-1, Koyadai, Tsukuba, Ibaraki 305-0074 Japan
| | - Yutaka Yamagata
- grid.509457.aUltrahigh Precision Optics Technology Team, Advanced Photonics Technology Group, RIKEN Center for Advanced Photonics, 3-1, Hirosawa, Wako, Saitama 351-0198 Japan
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16
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Nishikawa Y, Kogawa M, Hosokawa M, Wagatsuma R, Mineta K, Takahashi K, Ide K, Yura K, Behzad H, Gojobori T, Takeyama H. Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater. ISME COMMUNICATIONS 2022; 2:92. [PMID: 37938694 PMCID: PMC9723564 DOI: 10.1038/s43705-022-00179-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 04/26/2023]
Abstract
Single-cell genomics is applied to environmental samples as a method to solve the problems of current metagenomics. However, in the fluorescence-activated cell sorting-based cell isolation and subsequent whole genome amplification, the sorting efficiency and the sequence quality are greatly affected by the type of target environment, limiting its adaptability. Here, we developed an improved single-cell genomics platform, named SAG-gel, which utilizes gel beads for single-cell isolation, lysis, and whole genome amplification. To validate the versatility of SAG-gel, single-cell genome sequencing was performed with model bacteria and microbial samples collected from eight environmental sites, including soil and seawater. Gel beads enabled multiple lysis treatments. The genome coverage with model bacteria was improved by 9.1-25%. A total of 734 single amplified genomes were collected from the diverse environmental samples, and almost full-length 16S rRNA genes were recovered from 57.8% of them. We also revealed two marine Rhodobacter strains harboring nearly identical 16S rRNA genes but having different genome contents. In addition, searching for viral sequences elucidated the virus-host linkage over the sampling sites, revealing the geographic distribution and diverse host range of viruses.
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Affiliation(s)
- Yohei Nishikawa
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Masato Kogawa
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Masahito Hosokawa
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
| | - Ryota Wagatsuma
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
| | - Katsuhiko Mineta
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
- Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Kai Takahashi
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
| | - Keigo Ide
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
| | - Kei Yura
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Graduate School of Humanities and Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, 112-8610, Japan
| | - Hayedeh Behzad
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Takashi Gojobori
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Haruko Takeyama
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda tsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
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17
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Yu Y, Wen H, Li S, Cao H, Li X, Ma Z, She X, Zhou L, Huang S. Emerging microfluidic technologies for microbiome research. Front Microbiol 2022; 13:906979. [PMID: 36051769 PMCID: PMC9424851 DOI: 10.3389/fmicb.2022.906979] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/26/2022] [Indexed: 11/13/2022] Open
Abstract
The importance of the microbiome is increasingly prominent. For example, the human microbiome has been proven to be strongly associated with health conditions, while the environmental microbiome is recognized to have a profound influence on agriculture and even the global climate. Furthermore, the microbiome can serve as a fascinating reservoir of genes that encode tremendously valuable compounds for industrial and medical applications. In the past decades, various technologies have been developed to better understand and exploit the microbiome. In particular, microfluidics has demonstrated its strength and prominence in the microbiome research. By taking advantage of microfluidic technologies, inherited shortcomings of traditional methods such as low throughput, labor-consuming, and high-cost are being compensated or bypassed. In this review, we will summarize a broad spectrum of microfluidic technologies that have addressed various needs in the field of microbiome research, as well as the achievements that were enabled by the microfluidics (or technological advances). Finally, how microfluidics overcomes the limitations of conventional methods by technology integration will also be discussed.
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Affiliation(s)
- Yue Yu
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hui Wen
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Sihong Li
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Haojie Cao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xuefei Li
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhixin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiaoyi She
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lei Zhou
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Shuqiang Huang
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Shuqiang Huang,
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18
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Yang T, Luo Z, Bewal T, Li L, Xu Y, Mahdi Jafari S, Lin X. When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chem 2022; 394:133534. [PMID: 35752124 DOI: 10.1016/j.foodchem.2022.133534] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/23/2022] [Accepted: 06/18/2022] [Indexed: 11/16/2022]
Abstract
Pathogens are one of the supreme threats for the public health around the world in food supply chain. The on-site monitoring is an emerging trend for screening pathogens during the food processing and preserving. Traditional analytical tools have been unable to satisfy the current demands. Smartphones have enormous potentials for achieving on-site detection of foodborne pathogens, with intrinsic advantages such as small size, high accessibility, fast processing speed, and powerful imaging capacity. This review aims to synthesize the current advances in smartphone-assisted biosensors (SABs) for sensing foodborne pathogens, and briefly put forward the problem that consist in the research. We present the role of nanotechnology and recognition modes targeting foodborne pathogens in SABs, and discuss the signal conversion platforms coupling with smartphone. The challenges and perspectives in SABs are also proposed. The smartphone analytics area is moving forward, and it much be subject to careful quality standards and validation.
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Affiliation(s)
- Tao Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Tarun Bewal
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Li Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Seid Mahdi Jafari
- Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China.
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19
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Zheng W, Zhao S, Yin Y, Zhang H, Needham DM, Evans ED, Dai CL, Lu PJ, Alm EJ, Weitz DA. High-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome. Science 2022; 376:eabm1483. [PMID: 35653470 DOI: 10.1126/science.abm1483] [Citation(s) in RCA: 88] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Characterizing complex microbial communities with single-cell resolution has been a long-standing goal of microbiology. We present Microbe-seq, a high-throughput method that yields the genomes of individual microbes from complex microbial communities. We encapsulate individual microbes in droplets with microfluidics and liberate their DNA, which we then amplify, tag with droplet-specific barcodes, and sequence. We explore the human gut microbiome, sequencing more than 20,000 microbial single-amplified genomes (SAGs) from a single human donor and coassembling genomes of almost 100 bacterial species, including several with multiple subspecies strains. We use these genomes to probe microbial interactions, reconstructing the horizontal gene transfer (HGT) network and observing HGT between 92 species pairs; we also identify a significant in vivo host-phage association between crAssphage and one strain of Bacteroides vulgatus. Microbe-seq contributes high-throughput culture-free capabilities to investigate genomic blueprints of complex microbial communities with single-microbe resolution.
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Affiliation(s)
- Wenshan Zheng
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shijie Zhao
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yehang Yin
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Huidan Zhang
- School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA
| | - David M Needham
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Ocean Ecosystems Biology, GEOMAR, Helmholtz Centre for Ocean Research, Kiel, Germany
| | - Ethan D Evans
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Chengzhen L Dai
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Peter J Lu
- School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA.,Department of Physics, Harvard University, Cambridge, MA, USA
| | - Eric J Alm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Weitz
- School of Engineering and Applied Sciences (SEAS), Harvard University, Cambridge, MA, USA.,Department of Physics, Harvard University, Cambridge, MA, USA.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
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20
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Zhou Y, Jia E, Sheng Y, Qiao Y, Wang Y, Shi H, Liu Z, Pan M, Tu J, Bai Y, Zhao X, Ge Q, Lu Z. Sensitive and Low-Bias Transcriptome Sequencing Using Agarose PCR. ACS APPLIED MATERIALS & INTERFACES 2022; 14:19154-19167. [PMID: 35446027 DOI: 10.1021/acsami.2c02133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Transcriptome sequencing has emerged as an important research tool for exploring the mysteries of life at the single-cell level. However, its wide application is limited by the bias associated with the amplification reactions which is essential for library building of trace RNA. In this study, low-melting-point agarose was added to the amplification reactions to take advantage of its molecular crowding effect and polymer cross-linked structure to improve the sensitivity of the reactions and reduce bias. To further evaluate the performance of the method, it was applied to transcriptome sequencing of microregion samples from brain tissue sections of mice with Parkinson's disease at the single cell level. The results showed that agarose PCR had better performance than in-tube PCR. Further application of agarose PCR to transcriptome library sequencing could obtain data closer to that of unamplified. With the addition of low melting point agarose, the sensitivity of the amplification reaction was significantly increased, while homogeneity was increased by approximately 2-fold. Not only that, but this work also provides 11% sensitivity improvement for spatial transcriptomic study on Parkinson's disease-associated gene detection. The agarose PCR provides a new tool for efficient and homogeneous amplification of trace samples and can be widely used for spatial transcriptome library sequencing and studies.
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Affiliation(s)
- Ying Zhou
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Erteng Jia
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yuqi Sheng
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yi Qiao
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Ying Wang
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Huajuan Shi
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zhiyu Liu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Min Pan
- School of Medicine, Southeast University, Nanjing 210097, China
| | - Jing Tu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yunfei Bai
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xiangwei Zhao
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Qinyu Ge
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zuhong Lu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
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21
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Zhang C, Belwal T, Luo Z, Su B, Lin X. Application of Nanomaterials in Isothermal Nucleic Acid Amplification. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2102711. [PMID: 34626064 DOI: 10.1002/smll.202102711] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/29/2021] [Indexed: 05/26/2023]
Abstract
Because of high sensitivity and specificity, isothermal nucleic acid amplification are widely applied in many fields. To facilitate and improve their performance, various nanomaterials, like nanoparticles, nanowires, nanosheets, nanotubes, and nanoporous films are introduced in isothermal nucleic acid amplification. However, the specific application, roles, and prospect of nanomaterials in isothermal nucleic acid amplification have not been comprehensively reviewed. Here, the application of different nanomaterials (0D, 1D, 2D, and 3D) in isothermal nucleic acid amplification is comprehensively discussed and recent progress in the field is summarized. The nanomaterials are mainly used for reaction enhancer, signal generation/amplification, or surface loading carriers. In addition, 3D nanomaterials can be also functioned as isolated chambers for digital nucleic acid amplification and the tools for DNA sequencing of amplified products. Challenges and future recommendations are also proposed to be better used for recent covid-19 detection, point-of-care diagnostic, food safety, and other fields.
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Affiliation(s)
- Chao Zhang
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro-Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Tarun Belwal
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro-Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro-Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, China
- Ningbo Research Institute, Zhejiang University, Ningbo, 315100, China
| | - Bin Su
- Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro-Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, China
- Ningbo Research Institute, Zhejiang University, Ningbo, 315100, China
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22
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Abstract
Bladder cancer is the most common malignant tumour of the urinary system that is characterised by significant intra-tumoural heterogeneity. While large-scale sequencing projects have provided a preliminary understanding of tumour heterogeneity, these findings are based on the average signals obtained from the pooled populations of diverse cells. Recent advances in single-cell sequencing (SCS) technologies have been critical in this regard, opening up new ways of understanding the nuanced tumour biology by identifying distinct cellular subpopulations, dissecting the tumour microenvironment, and characterizing cellular genomic mutations. By integrating these novel insights, SCS technologies are expected to make powerful and meaningful changes to the current diagnosis and treatment of bladder cancer through the identification and usage of novel biomarkers as well as targeted therapeutics. SCS can discriminate complex heterogeneity in a large population of tumour cells and determine the key molecular properties that influence clinical outcomes. Here, we review the advances in single-cell technologies and discuss their applications in cancer research and clinical practice, with a specific focus on bladder cancer.
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23
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Zhu Y, Wu X, Gu A, Dobelle L, Cid C, Li J, Hoffmann MR. Membrane-Based In-Gel Loop-Mediated Isothermal Amplification (mgLAMP) System for SARS-CoV-2 Quantification in Environmental Waters. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:862-873. [PMID: 34967203 PMCID: PMC8751019 DOI: 10.1021/acs.est.1c04623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 05/06/2023]
Abstract
Since the COVID-19 pandemic is expected to become endemic, quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in ambient waters is critical for environmental surveillance and for early detection of outbreaks. Herein, we report the development of a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) system that is designed for the rapid point-of-use quantification of SARS-CoV-2 particles in environmental waters. The mgLAMP system integrates the viral concentration, in-assay viral lysis, and on-membrane hydrogel-based RT-LAMP quantification using enhanced fluorescence detection with a target-specific probe. With a sample-to-result time of less than 1 h, mgLAMP successfully detected SARS-CoV-2 below 0.96 copies/mL in Milli-Q water. In surface water, the lowest detected SARS-CoV-2 concentration was 93 copies/mL for mgLAMP, while the reverse transcription quantitative polymerase chain reaction (RT-qPCR) with optimal pretreatment was inhibited at 930 copies/mL. A 3D-printed portable device is designed to integrate heated incubation and fluorescence illumination for the simultaneous analysis of nine mgLAMP assays. Smartphone-based imaging and machine learning-based image processing are used for the interpretation of results. In this report, we demonstrate that mgLAMP is a promising method for large-scale environmental surveillance of SARS-CoV-2 without the need for specialized equipment, highly trained personnel, and labor-intensive procedures.
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Affiliation(s)
- Yanzhe Zhu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Xunyi Wu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Alan Gu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Leopold Dobelle
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Clément
A. Cid
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Jing Li
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Michael R. Hoffmann
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
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24
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Lin X, Fang M, Yi C, Jiang Y, Zhang C, Pan X, Luo Z. Functional hydrogel for fast, precise and inhibition-free point-of-care bacteria analysis in crude food samples. Biomaterials 2021; 280:121278. [PMID: 34871876 DOI: 10.1016/j.biomaterials.2021.121278] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/30/2021] [Accepted: 11/23/2021] [Indexed: 11/02/2022]
Abstract
In this work, instead of performing nucleic acid amplification in the bulk solution, we report a nanoporous hydrogel with controlled release function for rapid, precise, and inhibition-free nucleic acid analysis in crude food samples. The cross-linked PEG hydrogel with nanoporous structures possesses adsorption, release, separation, restriction and self-cleaning abilities. When digital loop-mediated isothermal amplification (LAMP) was performed inside this hydrogel, the surrounding nanostructure act as a temporary reservoir for reagents storage and release them on demand during or after amplification. Meanwhile, the restricted nanoconfined environment of hydrogel also favor the enzymatic amplification process. Thus, an enhanced signal readout, robust anti-inhibition, faster amplification rate, more products yields and specific amplification without primer-dimers were obtained. Moreover, direct amplification in untreated complex food sample was successfully performed inside hydrogel without any sample pretreatment, while conventional droplets digital LAMP failed for detection. Absolute quantification of Escherichia coli and Salmonella typhi directly in fresh fruit and vegetables was achieved within 20 min, with high precision and sensitivity down to single cell. This novel lab-on-hydrogel concept has an enormous potential for future molecular diagnostic assays, and can be also applied for other point-of-care assays.
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Affiliation(s)
- Xingyu Lin
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China.
| | - Mei Fang
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China; College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Changyu Yi
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China; College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Yan Jiang
- Chemistry Instrumentation Center, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China
| | - Chao Zhang
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China
| | - Xiangliang Pan
- College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China
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25
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Cao L, Guo X, Mao P, Ren Y, Li Z, You M, Hu J, Tian M, Yao C, Li F, Xu F. A Portable Digital Loop-Mediated Isothermal Amplification Platform Based on Microgel Array and Hand-Held Reader. ACS Sens 2021; 6:3564-3574. [PMID: 34606243 DOI: 10.1021/acssensors.1c00603] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Digital polymerase chain reaction (dPCR) has found widespread applications in molecular diagnosis of various diseases owing to its sensitive single-molecule detection capability. However, the existing dPCR platforms rely on the auxiliary procedure to disperse DNA samples, which needs complicated operation, expensive apparatus, and consumables. Besides, the complex and costly dPCR readers also impede the applications of dPCR for point-of-care testing (POCT). Herein, we developed a portable digital loop-mediated isothermal amplification (dLAMP) platform, integrating a microscale hydrogel (microgel) array chip for sample partition, a miniaturized heater for DNA amplification, and a hand-held reader for digital readout. In the platform, the chip with thousands of isolated microgels holds the capability of self-absorption and partition of DNA samples, thus avoiding auxiliary equipment and professional personnel operations. Using the integrated dLAMP platform, λDNA templates have been quantified with a good linear detection range of 2-1000 copies/μL and a detection limit of 1 copy/μL. As a demonstration, the epidermal growth factor receptor L858R gene mutation, a crucial factor for the susceptibility of the tyrosine kinase inhibitor in non-small-cell lung cancer treatment, has been accurately identified by the dLAMP platform with a spiked plasma sample. This work shows that the developed dLAMP platform provides a low-cost, facile, and user-friendly solution for the absolute quantification of DNA, showing great potential for the POCT of nucleic acids.
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Affiliation(s)
- Lei Cao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Xiaojin Guo
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
- Department of Chemistry, School of Science, Xi’an Jiaotong University, Xi’an 710049, China
| | - Ping Mao
- Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - Yulin Ren
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Zedong Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Minli You
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Jie Hu
- Suzhou DiYinAn Biotechnology Company Ltd., Suzhou 215000, China
| | - Miao Tian
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Chunyan Yao
- Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - Fei Li
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
| | - Feng Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, China
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26
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Li C, Gong Y, Wang X, Xu J, Ma B. Integrated Addressable Dynamic Droplet Array (aDDA) as Sub-Nanoliter Reactors for High-Coverage Genome Sequencing of Single Yeast Cells. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2100325. [PMID: 34296526 DOI: 10.1002/smll.202100325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 06/25/2021] [Indexed: 06/13/2023]
Abstract
An addressable dynamic droplet array (aDDA) is presented that combines the advantages of static droplet arrays and continuous-flow droplet platforms. Modular fabrication is employed to create a self-contained integrated aDDA. All the sample preparation steps, including single-cell isolation, cell lysis, amplification, and product retrieval, are performed in sequence within a sub-nanoliter (≈300 pL) droplet. Sequencing-based validation suggests that aDDA reduces the amplification bias of multiple displacement amplification (MDA) and elevates the percentage of one-yeast-cell genome recovery to 91%, as compared to the average of 26% using conventional, 20 µL volume MDA reactions. Thus, aDDA is a valuable addition to the toolbox for high-genome-coverage sequencing of single microbial cells.
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Affiliation(s)
- Chunyu Li
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China
| | - Yanhai Gong
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China
| | - Xixian Wang
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China
| | - Bo Ma
- Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China
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27
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Cahn JKB, Piel J. Anwendungen von Einzelzellmethoden in der mikrobiellen Naturstoffforschung. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.201900532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jackson K. B. Cahn
- Institut für Mikrobiologie Eidgenössische Technische Hochschule Zürich (ETH) 8093 Zürich Schweiz
| | - Jörn Piel
- Institut für Mikrobiologie Eidgenössische Technische Hochschule Zürich (ETH) 8093 Zürich Schweiz
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28
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Diebold PJ, New FN, Hovan M, Satlin MJ, Brito IL. Linking plasmid-based beta-lactamases to their bacterial hosts using single-cell fusion PCR. eLife 2021; 10:66834. [PMID: 34282723 PMCID: PMC8294855 DOI: 10.7554/elife.66834] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 06/30/2021] [Indexed: 12/17/2022] Open
Abstract
The horizonal transfer of plasmid-encoded genes allows bacteria to adapt to constantly shifting environmental pressures, bestowing functional advantages to their bacterial hosts such as antibiotic resistance, metal resistance, virulence factors, and polysaccharide utilization. However, common molecular methods such as short- and long-read sequencing of microbiomes cannot associate extrachromosomal plasmids with the genome of the host bacterium. Alternative methods to link plasmids to host bacteria are either laborious, expensive, or prone to contamination. Here we present the One-step Isolation and Lysis PCR (OIL-PCR) method, which molecularly links plasmid-encoded genes with the bacterial 16S rRNA gene via fusion PCR performed within an emulsion. After validating this method, we apply it to identify the bacterial hosts of three clinically relevant beta-lactamases within the gut microbiomes of neutropenic patients, as they are particularly vulnerable multidrug-resistant infections. We successfully detect the known association of a multi-drug resistant plasmid with Klebsiella pneumoniae, as well as the novel associations of two low-abundance genera, Romboutsia and Agathobacter. Further investigation with OIL-PCR confirmed that our detection of Romboutsia is due to its physical association with Klebsiella as opposed to directly harboring the beta-lactamase genes. Here we put forth a robust, accessible, and high-throughput platform for sensitively surveying the bacterial hosts of mobile genes, as well as detecting physical bacterial associations such as those occurring within biofilms and complex microbial communities.
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Affiliation(s)
- Peter J Diebold
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, United States
| | - Felicia N New
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, United States
| | - Michael Hovan
- Robert Wood Johnson Medical School, New Brunswick, United States
| | - Michael J Satlin
- Weill Cornell Medicine, Cornell University, New York, United States
| | - Ilana L Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, United States
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29
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Abstract
Bacteria acquire novel DNA through horizontal gene transfer (HGT), a process that enables an organism to rapidly adapt to changing environmental conditions, provides a competitive edge and potentially alters its relationship with its host. Although the HGT process is routinely exploited in laboratories, there is a surprising disconnect between what we know from laboratory experiments and what we know from natural environments, such as the human gut microbiome. Owing to a suite of newly available computational algorithms and experimental approaches, we have a broader understanding of the genes that are being transferred and are starting to understand the ecology of HGT in natural microbial communities. This Review focuses on these new technologies, the questions they can address and their limitations. As these methods are applied more broadly, we are beginning to recognize the full extent of HGT possible within a microbiome and the punctuated dynamics of HGT, specifically in response to external stimuli. Furthermore, we are better characterizing the complex selective pressures on mobile genetic elements and the mechanisms by which they interact with the bacterial host genome.
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Affiliation(s)
- Ilana Lauren Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
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30
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Nanoporous hydrogel for direct digital nucleic acid amplification in untreated complex matrices for single bacteria counting. Biosens Bioelectron 2021; 184:113199. [PMID: 33887613 DOI: 10.1016/j.bios.2021.113199] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/16/2021] [Accepted: 03/22/2021] [Indexed: 12/28/2022]
Abstract
Direct quantification of pathogens in unprocessed complex samples remain challenging due to the severe inhibition of nucleic acid amplification. In this work, we report a nanoporous polyethylene glycol hydrogel with self-cleaning capacity for direct amplification of nucleic acid in complex matrices (human whole blood, animal blood, milky tea, humic acid, and surfactants) without any sample pretreatment or DNA extraction. During isothermal amplification inside the hydrogel, the inhibitors in the assay will be adsorbed and removed by the surrounding nanostructured polymers, and nucleic acid amplification was proceeding successfully, resulting in a series of bright dots for single bacteria counting. Thus, the loop-mediated isothermal amplifications (LAMP) performed inside hydrogel demonstrated a high level of resistance to inhibition in various complex matrices. The underlying anti-inhibition mechanism was also investigated. Digital quantification of Escherichia coli, Salmonella typhi and Listeria monocytogenes in whole blood were achieved within 20 min, with wide dynamic range, high specificity and low detection limit down to single bacterium. Visual counting via naked eye was also successfully established with the help of a conventional LED flashlight. We believe the developed hydrogel nanofluidic system has an enormous potential for on-site direct analysis of complex, crude, and unprocessed samples in clinical, food, agricultural, and environmental fields.
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31
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Li Y, Ma L, Wu D, Chen G. Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine. Brief Bioinform 2021; 22:6189773. [PMID: 33778867 DOI: 10.1093/bib/bbab024] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 12/31/2020] [Accepted: 01/20/2021] [Indexed: 12/13/2022] Open
Abstract
Multi-omics allows the systematic understanding of the information flow across different omics layers, while single omics can mainly reflect one aspect of the biological system. The advancement of bulk and single-cell sequencing technologies and related computational methods for multi-omics largely facilitated the development of system biology and precision medicine. Single-cell approaches have the advantage of dissecting cellular dynamics and heterogeneity, whereas traditional bulk technologies are limited to individual/population-level investigation. In this review, we first summarize the technologies for producing bulk and single-cell multi-omics data. Then, we survey the computational approaches for integrative analysis of bulk and single-cell multimodal data, respectively. Moreover, the databases and data storage for multi-omics, as well as the tools for visualizing multimodal data are summarized. We also outline the integration between bulk and single-cell data, and discuss the applications of multi-omics in precision medicine. Finally, we present the challenges and perspectives for multi-omics development.
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Affiliation(s)
| | - Lu Ma
- China Normal University, China
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32
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Cahn JKB, Piel J. Opening up the Single-Cell Toolbox for Microbial Natural Products Research. Angew Chem Int Ed Engl 2021; 60:18412-18428. [PMID: 30748086 DOI: 10.1002/anie.201900532] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Indexed: 02/06/2023]
Abstract
The diverse microbes that produce natural products represent an important source of novel therapeutics, drug leads, and scientific tools. However, the vast majority have not been grown in axenic culture and are members of complex communities. While meta-'omic methods such as metagenomics, -transcriptomics, and -proteomics reveal collective molecular features of this "microbial dark matter", the study of individual microbiome members can be challenging. To address these limits, a number of techniques with single-bacterial resolution have been developed in the last decade and a half. While several of these are embraced by microbial ecologists, there has been less use by researchers interested in mining microbes for natural products. In this review, we discuss the available and emerging techniques for targeted single-cell analysis with a particular focus on applications to the discovery and study of natural products.
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Affiliation(s)
- Jackson K B Cahn
- Instit. of Microbiol., Eidgenössische Technische Hochschule Zürich (ETH), 8093, Zurich, Switzerland
| | - Jörn Piel
- Instit. of Microbiol., Eidgenössische Technische Hochschule Zürich (ETH), 8093, Zurich, Switzerland
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33
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Single-cell sequencing technology in tumor research. Clin Chim Acta 2021; 518:101-109. [PMID: 33766554 DOI: 10.1016/j.cca.2021.03.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/13/2021] [Accepted: 03/15/2021] [Indexed: 12/24/2022]
Abstract
Tumor heterogeneity is a key characteristic of malignant tumors and a significant obstacle in cancer treatment and research. Although bulk tissue sequencing has wide coverage and high accuracy, it can only represent the dominant cell signal information of each sample, while masking the unique gene expression of rare cells; therefore it cannot represent genes that are unstable within a subgroup, but unchanged in a majority of cells. With the progress of genomic technology, the emergence of single-cell sequencing (SCS) has effectively solved the above problem. Genetic, transcriptomic and epigenetic sequencing at the single-cell level provides an important basis for us to correctly classify the cell subsets of heterogeneous tumor populations and to reveal the process of complex changes in tumor cells at the molecular level. Single-cell sequencing technology has been applied to the field of cancer, revealing exciting discoveries in the potential mechanisms of tumor driver gene mutation, clonal evolution, invasion and metastasis. It also provides favorable conditions for developing new tumor biomarkers and providing more accurate and individualized targeted tumor therapy. Herein, we review the steps and methods of single-cell sequencing and highlight the application of SCS in tumor diagnosis and clinical treatment.
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34
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Zhu Y, Li J, Lin X, Huang X, Hoffmann MR. Single-Cell Phenotypic Analysis and Digital Molecular Detection Linkable by a Hydrogel Bead-Based Platform. ACS APPLIED BIO MATERIALS 2021; 4:2664-2674. [PMID: 33763633 PMCID: PMC7976597 DOI: 10.1021/acsabm.0c01615] [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: 12/15/2020] [Accepted: 02/01/2021] [Indexed: 11/29/2022]
Abstract
Cell heterogeneity, such as antibiotic heteroresistance and cancer cell heterogeneity, has been increasingly observed. To probe the underlying molecular mechanisms in the dynamically changing heterogeneous cells, a high throughput platform is urgently needed to establish single cell genotype-phenotype correlations. Herein, we report a platform combining single-cell viability phenotypic analysis with digital molecular detection for bacterial cells. The platform utilizes polyethylene glycol hydrogel that cross-links through a thiol-Michael addition, which is biocompatible, fast, and spontaneous. To generate uniform nanoliter-sized hydrogel beads (Gelbeads), we developed a convenient and disposable device made of needles and microcentrifuge tubes. Gelbead-based single cell viability and molecular detection assays were established. Enhanced thermal stability and uncompromised efficiency were achieved for digital polymerase chain reaction (PCR) and digital loop-mediated isothermal amplification (LAMP) within the Gelbeads. Reagent exchange for in situ PCR following viability phenotypic analyses was demonstrated. The combined analyses may address the genotypic differences between cellular subpopulations exhibiting distinct phenotypes. The platform promises unique perspectives in mechanism elucidation of environment-evolution interaction that may be extended to other cell types for medical research.
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Affiliation(s)
- Yanzhe Zhu
- Linde+Robinson Laboratories, California Institute of Technology, Pasadena, California 91125, United States
| | - Jing Li
- Linde+Robinson Laboratories, California Institute of Technology, Pasadena, California 91125, United States
| | - Xingyu Lin
- Linde+Robinson Laboratories, California Institute of Technology, Pasadena, California 91125, United States
| | - Xiao Huang
- Linde+Robinson Laboratories, California Institute of Technology, Pasadena, California 91125, United States
| | - Michael R Hoffmann
- Linde+Robinson Laboratories, California Institute of Technology, Pasadena, California 91125, United States
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35
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Ruan Q, Ruan W, Lin X, Wang Y, Zou F, Zhou L, Zhu Z, Yang C. Digital-WGS: Automated, highly efficient whole-genome sequencing of single cells by digital microfluidics. SCIENCE ADVANCES 2020; 6:6/50/eabd6454. [PMID: 0 PMCID: PMC7725457 DOI: 10.1126/sciadv.abd6454] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/23/2020] [Indexed: 05/03/2023]
Abstract
Single-cell whole-genome sequencing (WGS) is critical for characterizing dynamic intercellular changes in DNA. Current sample preparation technologies for single-cell WGS are complex, expensive, and suffer from high amplification bias and errors. Here, we describe Digital-WGS, a sample preparation platform that streamlines high-performance single-cell WGS with automatic processing based on digital microfluidics. Using the method, we provide high single-cell capture efficiency for any amount and types of cells by a wetted hydrodynamic structure. The digital control of droplets in a closed hydrophobic interface enables the complete removal of exogenous DNA, sufficient cell lysis, and lossless amplicon recovery, achieving the low coefficient of variation and high coverage at multiple scales. The single-cell genomic variations profiling performs the excellent detection of copy number variants with the smallest bin of 150 kb and single-nucleotide variants with allele dropout rate of 5.2%, holding great promise for broader applications of single-cell genomics.
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Affiliation(s)
- Qingyu Ruan
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Weidong Ruan
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Xiaoye Lin
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Yang Wang
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Fenxiang Zou
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Leiji Zhou
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Zhi Zhu
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China
| | - Chaoyong Yang
- Collaborative Innovation Center of Chemistry for Energy Materials, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Engineering, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P.R. China.
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
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Sharma PV, Thaiss CA. Host-Microbiome Interactions in the Era of Single-Cell Biology. Front Cell Infect Microbiol 2020; 10:569070. [PMID: 33163417 PMCID: PMC7591464 DOI: 10.3389/fcimb.2020.569070] [Citation(s) in RCA: 10] [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: 06/02/2020] [Accepted: 08/26/2020] [Indexed: 12/28/2022] Open
Abstract
Microbes are the most prevalent form of life yet also the least well-understood in terms of their diversity. Due to a greater appreciation of their role in modulating host physiology, microbes have come to the forefront of biological investigation of human health and disease. Despite this, capturing the heterogeneity of microbes, and that of the host responses they induce, has been challenging due to the bulk methods of nucleic acid and cellular analysis. One of the greatest recent advancements in our understanding of complex organisms has happened in the field of single-cell analysis through genomics, transcriptomics, and spatial resolution. While significantly advancing our understanding of host biology, these techniques have only recently been applied to microbial systems to shed light on their diversity as well as interactions with host cells in both commensal and pathogenic contexts. In this review, we highlight emerging technologies that are poised to provide key insights into understanding how microbe heterogeneity can be studied. We then take a detailed look into how host single-cell analysis has uncovered the impact of microbes on host heterogeneity and the effect of host biology on microorganisms. Most of these insights would have been challenging, and in some cases impossible, without the advent of single-cell analysis, suggesting the importance of the single-cell paradigm for progressing the microbiology field forward through a host-microbiome perspective and applying these insights to better understand and treat human disease.
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Affiliation(s)
| | - Christoph A. Thaiss
- Microbiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Microbial single-cell omics: the crux of the matter. Appl Microbiol Biotechnol 2020; 104:8209-8220. [PMID: 32845367 PMCID: PMC7471194 DOI: 10.1007/s00253-020-10844-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/08/2020] [Accepted: 08/17/2020] [Indexed: 01/10/2023]
Abstract
Abstract Single-cell genomics and transcriptomics can provide reliable context for assembled genome fragments and gene expression activity on the level of individual prokaryotic genomes. These methods are rapidly emerging as an essential complement to cultivation-based, metagenomics, metatranscriptomics, and microbial community-focused research approaches by allowing direct access to information from individual microorganisms, even from deep-branching phylogenetic groups that currently lack cultured representatives. Their integration and binning with environmental ‘omics data already provides unprecedented insights into microbial diversity and metabolic potential, enabling us to provide information on individual organisms and the structure and dynamics of natural microbial populations in complex environments. This review highlights the pitfalls and recent advances in the field of single-cell omics and its importance in microbiological and biotechnological studies. Key points • Single-cell omics expands the tree of life through the discovery of novel organisms, genes, and metabolic pathways. • Disadvantages of metagenome-assembled genomes are overcome by single-cell omics. • Functional analysis of single cells explores the heterogeneity of gene expression. • Technical challenges still limit this field, thus prompting new method developments.
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Delley CL, Abate AR. Microfluidic particle zipper enables controlled loading of droplets with distinct particle types. LAB ON A CHIP 2020; 20:2465-2472. [PMID: 32531004 PMCID: PMC7978498 DOI: 10.1039/d0lc00339e] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Current encapsulation approaches control the number of particles encapsulated per droplet, but not the particle types; consequently, they are unable to generate droplets containing combinations of distinct particle types, limiting the reactions that can be performed. We describe a microfluidic particle zipper that allows the number and types of particles encapsulated in every droplet to be controlled. The approach exploits self-ordering to generate repeating particle patterns that allow controlled encapsulation in droplets. We use the method to combine barcode particles with gel encapsulated cells to profile multiple disease relevant genomic loci with single cell sequencing. Particle zippers can operate in series to generate complex particle compositions in droplets.
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Affiliation(s)
- Cyrille L Delley
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
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Kumar R, Ghosh M, Kumar S, Prasad M. Single Cell Metabolomics: A Future Tool to Unmask Cellular Heterogeneity and Virus-Host Interaction in Context of Emerging Viral Diseases. Front Microbiol 2020; 11:1152. [PMID: 32582094 PMCID: PMC7286130 DOI: 10.3389/fmicb.2020.01152] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 05/06/2020] [Indexed: 12/15/2022] Open
Abstract
Viral emergence is an unpredictable but obvious event, particularly in the era of climate change and globalization. Efficient management of viral outbreaks depends on pre-existing knowledge and alertness. The potential hotspots of viral emergence often remain neglected and the information related to them is insufficient, particularly for emerging viruses. Viral replication and transmission rely upon usurping the host metabolic machineries. So altered host metabolic pathways can be exploited for containment of these viruses. Metabolomics provides the insight for tracing out such checkpoints. Consequently introspection of metabolic alteration at virus-host interface has evolved as prime area in current virology research. Chromatographic separation followed by mass spectrometry has been used as the predominant analytical platform in bulk of the analyses followed by nuclear magnetic resonance (NMR) and fluorescence based techniques. Although valuable information regarding viral replication and modulation of host metabolic pathways have been extracted but ambiguity often superseded the real events due to population effect over the infected cells. Exploration of cellular heterogeneity and differentiation of infected cells from the nearby healthy ones has become essential. Single cell metabolomics (SCM) emerges as necessity to explore such minute details. Mass spectrometry imaging (MSI) coupled with several soft ionization techniques such as electrospray ionization (ESI), laser ablation electrospray ionization (LAESI), matrix assisted laser desorption/ionization (MALDI), matrix-free laser desorption ionization (LDI) have evolved as the best suited platforms for SCM analyses. The potential of SCM has already been exploited to resolve several biological conundrums. Thus SCM is knocking at the door of virus-host interface.
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Affiliation(s)
- Rajesh Kumar
- Department of Veterinary Physiology and Biochemistry, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Mayukh Ghosh
- Department of Veterinary Physiology and Biochemistry, RGSC, Banaras Hindu University, Mirzapur, India
| | - Sandeep Kumar
- Department of Veterinary Surgery and Radiology, College of Veterinary Sciences, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Minakshi Prasad
- Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
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Abstract
The human oral cavity is one of the first environments where microbes have been discovered and studied since the dawn of microbiology. Nevertheless, approximately 200 types of bacteria from the oral microbiota have remained uncultured in the laboratory. Some are associated with a healthy oral microbial community, while others are linked to oral diseases, from dental caries to gum disease. Single-cell genomics has enabled inferences on the physiology, virulence, and evolution of such uncultured microorganisms and has further enabled isolation and cultivation of several novel oral bacteria, including the discovery of novel interspecies interactions. This review summarizes some of the more recent advances in this field, which is rapidly moving toward physiologic characterization of single cells and ultimately cultivation of the yet uncultured. A combination of traditional microbiological approaches with genomic-based physiologic predictions and isolation strategies may lead to the oral microbiome being the first complex microbial community to have all its members cultivable in the laboratory. Studying the biology of the individual microbes when in association with other members of the community, in controlled laboratory conditions and in vivo, should lead to a better understanding of oral dysbiosis and its prevention and reversion.
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Affiliation(s)
- M Balachandran
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - K L Cross
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - M Podar
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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Li Y, Motschman JD, Kelly ST, Yellen BB. Injection Molded Microfluidics for Establishing High-Density Single Cell Arrays in an Open Hydrogel Format. Anal Chem 2020; 92:2794-2801. [PMID: 31934750 PMCID: PMC7295173 DOI: 10.1021/acs.analchem.9b05099] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Here, we develop an injection molded microfluidic approach for single cell analysis by making use of (1) rapidly curing injectable hydrogels, (2) a high density microfluidic weir trap array, and (3) reversibly bonded PDMS lids that are strong enough to withstand the injection molding process, but which can be peeled off after the hydrogel sets. This approach allows for single cell patterns to be created with densities exceeding 40 cells per mm2, is amenable to high speed imaging, and creates microfluidic devices that enable efficient nutrient and gas exchange and the delivery of specific biological and chemical reagents to individual cells. We show that it is possible to organize up to 10 000 single cells in a few minutes on the device, and we developed an image analysis program to automatically analyze the single-cell capture efficiency. The results show single cell trapping rates were better than 80%. We also demonstrate that the genomic DNA of the single cells trapped in the hydrogel can be amplified via localized, multiple displacement amplification in a massively parallel format, which offers a promising strategy for analyzing single cell genomes. Finally, we show the ability to perform selective staining of individual cells with a commercial bioprinter, providing proof of concept of its ability to deliver tailored reagents to specific cells in an array for future downstream analysis. This injection molded microfluidic approach leverages the benefits of both closed and open microfluidics, allows multiday single cell cultures, direct access to the trapped cells for genotypic end point studies.
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Affiliation(s)
- Ying Li
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Jeffrey D. Motschman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Sean T. Kelly
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Benjamin B. Yellen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
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Chijiiwa R, Hosokawa M, Kogawa M, Nishikawa Y, Ide K, Sakanashi C, Takahashi K, Takeyama H. Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota. MICROBIOME 2020; 8:5. [PMID: 31969191 PMCID: PMC6977353 DOI: 10.1186/s40168-019-0779-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/23/2019] [Indexed: 05/10/2023]
Abstract
BACKGROUND The gut microbiota can have dramatic effects on host metabolism; however, current genomic strategies for uncultured bacteria have several limitations that hinder their ability to identify responders to metabolic changes in the microbiota. In this study, we describe a novel single-cell genomic sequencing technique that can identify metabolic responders at the species level without the need for reference genomes, and apply this method to identify bacterial responders to an inulin-based diet in the mouse gut microbiota. RESULTS Inulin-feeding changed the mouse fecal microbiome composition to increase Bacteroides spp., resulting in the production of abundant succinate in the mouse intestine. Using our massively parallel single-cell genome sequencing technique, named SAG-gel platform, we obtained 346 single-amplified genomes (SAGs) from mouse gut microbes before and after dietary inulin supplementation. After quality control, the SAGs were classified as 267 bacteria, spanning 2 phyla, 4 classes, 7 orders, and 14 families, and 31 different strains of SAGs were graded as high- and medium-quality draft genomes. From these, we have successfully obtained the genomes of the dominant inulin-responders, Bacteroides spp., and identified their polysaccharide utilization loci and their specific metabolic pathways for succinate production. CONCLUSIONS Our single-cell genomics approach generated a massive amount of SAGs, enabling a functional analysis of uncultured bacteria in the intestinal microbiome. This enabled us to estimate metabolic lineages involved in the bacterial fermentation of dietary fiber and metabolic outcomes such as short-chain fatty acid production in the intestinal environment based on the fibers ingested. The technique allows the in-depth isolation and characterization of uncultured bacteria with specific functions in the microbiota and could be exploited to improve human and animal health. Video abstract.
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Affiliation(s)
- Rieka Chijiiwa
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Masahito Hosokawa
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
- PRESTO, Japan Science and Technology Agency (JST), 5-3 Yonban-cho, Chiyoda-ku, Tokyo, 102-0075, Japan.
| | - Masato Kogawa
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Yohei Nishikawa
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Keigo Ide
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Chikako Sakanashi
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Kai Takahashi
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo, 162-8480, Japan.
- Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
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Li X, Zhang D, Ruan W, Liu W, Yin K, Tian T, Bi Y, Ruan Q, Zhao Y, Zhu Z, Yang C. Centrifugal-Driven Droplet Generation Method with Minimal Waste for Single-Cell Whole Genome Amplification. Anal Chem 2019; 91:13611-13619. [DOI: 10.1021/acs.analchem.9b02786] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Xingrui Li
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Dongfeng Zhang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Weidong Ruan
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Weizhi Liu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Kun Yin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Tian Tian
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Yunpeng Bi
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Qingyu Ruan
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Yuan Zhao
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, P. R. China
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Weinstein JA, Regev A, Zhang F. DNA Microscopy: Optics-free Spatio-genetic Imaging by a Stand-Alone Chemical Reaction. Cell 2019; 178:229-241.e16. [PMID: 31230717 DOI: 10.1016/j.cell.2019.05.019] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 02/27/2019] [Accepted: 05/09/2019] [Indexed: 01/17/2023]
Abstract
Analyzing the spatial organization of molecules in cells and tissues is a cornerstone of biological research and clinical practice. However, despite enormous progress in molecular profiling of cellular constituents, spatially mapping them remains a disjointed and specialized machinery-intensive process, relying on either light microscopy or direct physical registration. Here, we demonstrate DNA microscopy, a distinct imaging modality for scalable, optics-free mapping of relative biomolecule positions. In DNA microscopy of transcripts, transcript molecules are tagged in situ with randomized nucleotides, labeling each molecule uniquely. A second in situ reaction then amplifies the tagged molecules, concatenates the resulting copies, and adds new randomized nucleotides to uniquely label each concatenation event. An algorithm decodes molecular proximities from these concatenated sequences and infers physical images of the original transcripts at cellular resolution with precise sequence information. Because its imaging power derives entirely from diffusive molecular dynamics, DNA microscopy constitutes a chemically encoded microscopy system.
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Affiliation(s)
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biology, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02140, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Feng Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, MIT, Cambridge, MA 02139, USA; McGovern Institute for Brain Research at MIT, Cambridge, MA 02139, USA; Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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45
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Liu Y, Chen X, Zhang Y, Liu J. Advancing single-cell proteomics and metabolomics with microfluidic technologies. Analyst 2019; 144:846-858. [PMID: 30351310 DOI: 10.1039/c8an01503a] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Recent advances in single-cell analysis have unraveled substantial heterogeneity among seemingly identical cells at genomic and transcriptomic levels. These discoveries have urged scientists to develop new tools that are capable of investigating single cells from a broader set of "omics". Proteomics and metabolomics, for instance, are of particular interest as they are closely correlated with a dynamic picture of cellular behaviors and phenotypic identities. The development of such tools requires highly efficient isolation and processing of a large number of individual cells, where techniques such as microfluidics are extremely useful. Here, we review the recent advances in single-cell proteomics and metabolomics, with a focus on microfluidics-based platforms. We highlight a vast array of emerging microfluidic formats for single-cell isolation and manipulation, and how the state-of-the-art analytical tools are coupled with such platforms for proteomic and metabolomic profiling.
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Affiliation(s)
- Yifan Liu
- Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu Province 215123, China.
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Fu Y, Zhang F, Zhang X, Yin J, Du M, Jiang M, Liu L, Li J, Huang Y, Wang J. High-throughput single-cell whole-genome amplification through centrifugal emulsification and eMDA. Commun Biol 2019; 2:147. [PMID: 31044172 PMCID: PMC6488574 DOI: 10.1038/s42003-019-0401-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 03/20/2019] [Indexed: 01/19/2023] Open
Abstract
Single-cell whole-genome sequencing (scWGS) is mainly used to probe intercellular genomic variations, focusing on the copy number variations or alterations and the single-nucleotide variations (SNVs) occurring within single cells. Single-cell whole-genome amplification (scWGA) needs to be applied before scWGS but is challenging due to the low copy number of DNA. Besides, many genomic variations are rare within a population of cells, so the throughput of currently available scWGA methods is far from satisfactory. Here, we integrate a one-step micro-capillary array (MiCA)-based centrifugal droplet generation technique with emulsion multiple displacement amplification (eMDA) and demonstrate a high-throughput scWGA method, MiCA-eMDA. MiCA-eMDA increases the single-run throughput of scWGA to a few dozen, and enables the assessment of copy number variations and alterations at 50-kb resolution. Downstream target enrichment further enables the detection of SNVs with 20% allele drop-out.
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Affiliation(s)
- Yusi Fu
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Fangli Zhang
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Xiannian Zhang
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Junlong Yin
- School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084 China
| | - Meijie Du
- School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084 China
| | - Mengcheng Jiang
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Lu Liu
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Jie Li
- School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084 China
| | - Yanyi Huang
- Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, College of Engineering, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871 China
| | - Jianbin Wang
- School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084 China
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47
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Lee KS, Palatinszky M, Pereira FC, Nguyen J, Fernandez VI, Mueller AJ, Menolascina F, Daims H, Berry D, Wagner M, Stocker R. An automated Raman-based platform for the sorting of live cells by functional properties. Nat Microbiol 2019; 4:1035-1048. [PMID: 30886359 DOI: 10.1038/s41564-019-0394-9] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/30/2019] [Indexed: 12/22/2022]
Abstract
Stable-isotope probing is widely used to study the function of microbial taxa in their natural environment, but sorting of isotopically labelled microbial cells from complex samples for subsequent genomic analysis or cultivation is still in its early infancy. Here, we introduce an optofluidic platform for automated sorting of stable-isotope-probing-labelled microbial cells, combining microfluidics, optical tweezing and Raman microspectroscopy, which yields live cells suitable for subsequent single-cell genomics, mini-metagenomics or cultivation. We describe the design and optimization of this Raman-activated cell-sorting approach, illustrate its operation with four model bacteria (two intestinal, one soil and one marine) and demonstrate its high sorting accuracy (98.3 ± 1.7%), throughput (200-500 cells h-1; 3.3-8.3 cells min-1) and compatibility with cultivation. Application of this sorting approach for the metagenomic characterization of bacteria involved in mucin degradation in the mouse colon revealed a diverse consortium of bacteria, including several members of the underexplored family Muribaculaceae, highlighting both the complexity of this niche and the potential of Raman-activated cell sorting for identifying key players in targeted processes.
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Affiliation(s)
- Kang Soo Lee
- Ralph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland
| | - Márton Palatinszky
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria
| | - Fátima C Pereira
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria
| | - Jen Nguyen
- Ralph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland
| | - Vicente I Fernandez
- Ralph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland
| | - Anna J Mueller
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria
| | - Filippo Menolascina
- School of Engineering, Institute for Bioengineering, The University of Edinburgh, Edinburgh, UK
| | - Holger Daims
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.,The Comammox Research Platform, University of Vienna, Vienna, Austria
| | - David Berry
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria
| | - Michael Wagner
- Center of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.,The Comammox Research Platform, University of Vienna, Vienna, Austria
| | - Roman Stocker
- Ralph M. Parsons Laboratory for Environmental Science and Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. .,Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland.
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48
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Abstract
Single-cell omics studies provide unique information regarding cellular heterogeneity at various levels of the molecular biology central dogma. This knowledge facilitates a deeper understanding of how underlying molecular and architectural changes alter cell behavior, development, and disease processes. The emerging microchip-based tools for single-cell omics analysis are enabling the evaluation of cellular omics with high throughput, improved sensitivity, and reduced cost. We review state-of-the-art microchip platforms for profiling genomics, epigenomics, transcriptomics, proteomics, metabolomics, and multi-omics at single-cell resolution. We also discuss the background of and challenges in the analysis of each molecular layer and integration of multiple levels of omics data, as well as how microchip-based methodologies benefit these fields. Additionally, we examine the advantages and limitations of these approaches. Looking forward, we describe additional challenges and future opportunities that will facilitate the improvement and broad adoption of single-cell omics in life science and medicine.
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Affiliation(s)
- Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA; , ,
| | - Amanda Finck
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA; , ,
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA; , ,
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49
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Scheler O, Postek W, Garstecki P. Recent developments of microfluidics as a tool for biotechnology and microbiology. Curr Opin Biotechnol 2019; 55:60-67. [DOI: 10.1016/j.copbio.2018.08.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 07/13/2018] [Accepted: 08/09/2018] [Indexed: 02/07/2023]
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50
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Brody Y, Kimmerling RJ, Maruvka YE, Benjamin D, Elacqua JJ, Haradhvala NJ, Kim J, Mouw KW, Frangaj K, Koren A, Getz G, Manalis SR, Blainey PC. Quantification of somatic mutation flow across individual cell division events by lineage sequencing. Genome Res 2018; 28:1901-1918. [PMID: 30459213 PMCID: PMC6280753 DOI: 10.1101/gr.238543.118] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 10/27/2018] [Indexed: 02/06/2023]
Abstract
Mutation data reveal the dynamic equilibrium between DNA damage and repair processes in cells and are indispensable to the understanding of age-related diseases, tumor evolution, and the acquisition of drug resistance. However, available genome-wide methods have a limited ability to resolve rare somatic variants and the relationships between these variants. Here, we present lineage sequencing, a new genome sequencing approach that enables somatic event reconstruction by providing quality somatic mutation call sets with resolution as high as the single-cell level in subject lineages. Lineage sequencing entails sampling single cells from a population and sequencing subclonal sample sets derived from these cells such that knowledge of relationships among the cells can be used to jointly call variants across the sample set. This approach integrates data from multiple sequence libraries to support each variant and precisely assigns mutations to lineage segments. We applied lineage sequencing to a human colon cancer cell line with a DNA polymerase epsilon (POLE) proofreading deficiency (HT115) and a human retinal epithelial cell line immortalized by constitutive telomerase expression (RPE1). Cells were cultured under continuous observation to link observed single-cell phenotypes with single-cell mutation data. The high sensitivity, specificity, and resolution of the data provide a unique opportunity for quantitative analysis of variation in mutation rate, spectrum, and correlations among variants. Our data show that mutations arrive with nonuniform probability across sublineages and that DNA lesion dynamics may cause strong correlations between certain mutations.
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Affiliation(s)
- Yehuda Brody
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Robert J Kimmerling
- MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts 02139, USA
| | - Yosef E Maruvka
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- MGH Cancer Center and Department of Pathology, Boston, Massachusetts 02114, USA
| | - David Benjamin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Joshua J Elacqua
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA
| | - Nicholas J Haradhvala
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- MGH Cancer Center and Department of Pathology, Boston, Massachusetts 02114, USA
| | - Jaegil Kim
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Kent W Mouw
- Harvard Medical School, Boston, Massachusetts 02115, USA
- Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA
| | - Kristjana Frangaj
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
| | - Amnon Koren
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
| | - Gad Getz
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- MGH Cancer Center and Department of Pathology, Boston, Massachusetts 02114, USA
| | - Scott R Manalis
- MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, Massachusetts 02139, USA
| | - Paul C Blainey
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA
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