Massively parallel polymerase cloning and genome sequencing of single cells using nanoliter microwells
Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution. Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying s...
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Published in | Nature biotechnology Vol. 31; no. 12; pp. 1126 - 1132 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.12.2013
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Abstract | Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution.
Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and their genetic material is simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated, nanoliter-scale reactors, facilitating the
de novo
assembly of near-complete microbial genomes from single
Escherichia coli
cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1- to 2-Mb resolution. MIDAS can potentially further the characterization of genomic diversity in many heterogeneous cell populations. |
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AbstractList | Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and their genetic material is simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated, nanoliter-scale reactors, facilitating the de novo assembly of near-complete microbial genomes from single Escherichia coli cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1- to 2-Mb resolution. MIDAS can potentially further the characterization of genomic diversity in many heterogeneous cell populations.Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and their genetic material is simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated, nanoliter-scale reactors, facilitating the de novo assembly of near-complete microbial genomes from single Escherichia coli cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1- to 2-Mb resolution. MIDAS can potentially further the characterization of genomic diversity in many heterogeneous cell populations. Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution. Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and their genetic material is simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated, nanoliter-scale reactors, facilitating the de novo assembly of near-complete microbial genomes from single Escherichia coli cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1- to 2-Mb resolution. MIDAS can potentially further the characterization of genomic diversity in many heterogeneous cell populations. Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution. Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and their genetic material is simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated, nanoliter-scale reactors, facilitating the de novo assembly of near-complete microbial genomes from single Escherichia coli cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1- to 2-Mb resolution. MIDAS can potentially further the characterization of genomic diversity in many heterogeneous cell populations. Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues. A major hurdle in this process is the bias in amplifying the genetic material from a single cell, a procedure known as polymerase cloning. Here we describe the microwell displacement amplification system (MIDAS), a massively parallel polymerase cloning method in which single cells are randomly distributed into hundreds to thousands of nanoliter wells and simultaneously amplified for shotgun sequencing. MIDAS reduces amplification bias because polymerase cloning occurs in physically separated nanoliter-scale reactors, facilitating the de novo assembly of near-complete microbial genomes from single E. coli cells. In addition, MIDAS allowed us to detect single-copy number changes in primary human adult neurons at 1–2 Mb resolution. MIDAS will further the characterization of genomic diversity in many heterogeneous cell populations. |
Audience | Academic |
Author | Gore, Athurva Richards, Andrew Lo, Yu-Hwa Chiang, Hsin-I Chun, Jerold Zhang, Kun Gole, Jeff Bushman, Diane Fung, Ho-Lim Chiu, Yu-Jui |
AuthorAffiliation | 1 Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA 2 Materials Science and Engineering Program, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA 3 Dorris Neuroscience Center, Molecular and Cellular Neuroscience Department, The Scripps Research Institute, La Jolla, California 92037 4 Department of Electrical and Computer Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA |
AuthorAffiliation_xml | – name: 1 Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA – name: 2 Materials Science and Engineering Program, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA – name: 3 Dorris Neuroscience Center, Molecular and Cellular Neuroscience Department, The Scripps Research Institute, La Jolla, California 92037 – name: 4 Department of Electrical and Computer Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA |
Author_xml | – sequence: 1 givenname: Jeff surname: Gole fullname: Gole, Jeff organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego – sequence: 2 givenname: Athurva surname: Gore fullname: Gore, Athurva organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego – sequence: 3 givenname: Andrew surname: Richards fullname: Richards, Andrew organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego – sequence: 4 givenname: Yu-Jui surname: Chiu fullname: Chiu, Yu-Jui organization: Materials Science and Engineering Program, University of California at San Diego – sequence: 5 givenname: Ho-Lim surname: Fung fullname: Fung, Ho-Lim organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego – sequence: 6 givenname: Diane surname: Bushman fullname: Bushman, Diane organization: Department of Molecular and Cellular Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute – sequence: 7 givenname: Hsin-I surname: Chiang fullname: Chiang, Hsin-I organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego, Present address: Department of Animal Science, National Chung Hsing University, Taichung, Taiwan – sequence: 8 givenname: Jerold surname: Chun fullname: Chun, Jerold organization: Department of Molecular and Cellular Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute – sequence: 9 givenname: Yu-Hwa surname: Lo fullname: Lo, Yu-Hwa organization: Department of Electrical and Computer Engineering, University of California at San Diego – sequence: 10 givenname: Kun surname: Zhang fullname: Zhang, Kun email: kzhang@bioeng.ucsd.edu organization: Department of Bioengineering, Institute for Genomic Medicine and Institute of Engineering in Medicine, University of California at San Diego |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24213699$$D View this record in MEDLINE/PubMed |
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Snippet | Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution.... Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations... Arrays of nanoliter wells reduce bias in single-cell genome sequencing, allowing copy number changes in one cell to be detected at unprecedented resolution. |
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SubjectTerms | 631/61/514/2254 Agriculture Bioinformatics Biomedical Engineering/Biotechnology Biomedicine Biotechnology Cell Separation - instrumentation Cells Chromosome Mapping - instrumentation Cloning Cloning, Molecular - methods Deoxyribonucleic acid DNA DNA - genetics DNA polymerases DNA sequencing DNA-Directed DNA Polymerase - genetics E coli Equipment Design Equipment Failure Analysis Gene amplification Genetic aspects Genomics High-Throughput Nucleotide Sequencing - instrumentation High-Throughput Nucleotide Sequencing - methods Life Sciences Mammals Methods Microorganisms Mutation Nanotechnology - instrumentation Nanotechnology - methods Nucleotide sequencing Physiological aspects Reactors |
Title | Massively parallel polymerase cloning and genome sequencing of single cells using nanoliter microwells |
URI | https://link.springer.com/article/10.1038/nbt.2720 https://www.ncbi.nlm.nih.gov/pubmed/24213699 https://www.proquest.com/docview/1557612321 https://www.proquest.com/docview/1466375608 https://pubmed.ncbi.nlm.nih.gov/PMC3875318 |
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