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Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing

As the cost of next-generation sequencing has decreased, library preparation costs have become a more significant proportion of the total cost, especially for high-throughput applications such as single-cell RNA profiling. Here, we have applied novel technologies to scale down reaction volumes for l...

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Autores principales: Mora-Castilla, Sergio, To, Cuong, Vaezeslami, Soheila, Morey, Robert, Srinivasan, Srimeenakshi, Dumdie, Jennifer N., Cook-Andersen, Heidi, Jenkins, Joby, Laurent, Louise C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948133/
https://www.ncbi.nlm.nih.gov/pubmed/26891732
http://dx.doi.org/10.1177/2211068216630741
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author Mora-Castilla, Sergio
To, Cuong
Vaezeslami, Soheila
Morey, Robert
Srinivasan, Srimeenakshi
Dumdie, Jennifer N.
Cook-Andersen, Heidi
Jenkins, Joby
Laurent, Louise C.
author_facet Mora-Castilla, Sergio
To, Cuong
Vaezeslami, Soheila
Morey, Robert
Srinivasan, Srimeenakshi
Dumdie, Jennifer N.
Cook-Andersen, Heidi
Jenkins, Joby
Laurent, Louise C.
author_sort Mora-Castilla, Sergio
collection PubMed
description As the cost of next-generation sequencing has decreased, library preparation costs have become a more significant proportion of the total cost, especially for high-throughput applications such as single-cell RNA profiling. Here, we have applied novel technologies to scale down reaction volumes for library preparation. Our system consisted of in vitro differentiated human embryonic stem cells representing two stages of pancreatic differentiation, for which we prepared multiple biological and technical replicates. We used the Fluidigm (San Francisco, CA) C1 single-cell Autoprep System for single-cell complementary DNA (cDNA) generation and an enzyme-based tagmentation system (Nextera XT; Illumina, San Diego, CA) with a nanoliter liquid handler (mosquito HTS; TTP Labtech, Royston, UK) for library preparation, reducing the reaction volume down to 2 µL and using as little as 20 pg of input cDNA. The resulting sequencing data were bioinformatically analyzed and correlated among the different library reaction volumes. Our results showed that decreasing the reaction volume did not interfere with the quality or the reproducibility of the sequencing data, and the transcriptional data from the scaled-down libraries allowed us to distinguish between single cells. Thus, we have developed a process to enable efficient and cost-effective high-throughput single-cell transcriptome sequencing.
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spelling pubmed-49481332016-07-28 Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing Mora-Castilla, Sergio To, Cuong Vaezeslami, Soheila Morey, Robert Srinivasan, Srimeenakshi Dumdie, Jennifer N. Cook-Andersen, Heidi Jenkins, Joby Laurent, Louise C. SLAS Technol Original Research As the cost of next-generation sequencing has decreased, library preparation costs have become a more significant proportion of the total cost, especially for high-throughput applications such as single-cell RNA profiling. Here, we have applied novel technologies to scale down reaction volumes for library preparation. Our system consisted of in vitro differentiated human embryonic stem cells representing two stages of pancreatic differentiation, for which we prepared multiple biological and technical replicates. We used the Fluidigm (San Francisco, CA) C1 single-cell Autoprep System for single-cell complementary DNA (cDNA) generation and an enzyme-based tagmentation system (Nextera XT; Illumina, San Diego, CA) with a nanoliter liquid handler (mosquito HTS; TTP Labtech, Royston, UK) for library preparation, reducing the reaction volume down to 2 µL and using as little as 20 pg of input cDNA. The resulting sequencing data were bioinformatically analyzed and correlated among the different library reaction volumes. Our results showed that decreasing the reaction volume did not interfere with the quality or the reproducibility of the sequencing data, and the transcriptional data from the scaled-down libraries allowed us to distinguish between single cells. Thus, we have developed a process to enable efficient and cost-effective high-throughput single-cell transcriptome sequencing. SAGE Publications 2016-07-10 2016-08 /pmc/articles/PMC4948133/ /pubmed/26891732 http://dx.doi.org/10.1177/2211068216630741 Text en © 2016 Society for Laboratory Automation and Screening http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Mora-Castilla, Sergio
To, Cuong
Vaezeslami, Soheila
Morey, Robert
Srinivasan, Srimeenakshi
Dumdie, Jennifer N.
Cook-Andersen, Heidi
Jenkins, Joby
Laurent, Louise C.
Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title_full Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title_fullStr Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title_full_unstemmed Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title_short Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing
title_sort miniaturization technologies for efficient single-cell library preparation for next-generation sequencing
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948133/
https://www.ncbi.nlm.nih.gov/pubmed/26891732
http://dx.doi.org/10.1177/2211068216630741
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