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A cost-effective RNA sequencing protocol for large-scale gene expression studies

RNA sequencing has increasingly become an indispensable tool for biological research. While sequencing costs have fallen dramatically in recent years, the current cost of RNA sequencing, nonetheless, remains a barrier to even more widespread adoption. Here, we present a simple RNA sequencing protoco...

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Detalles Bibliográficos
Autores principales: Hou, Zhonggang, Jiang, Peng, Swanson, Scott A., Elwell, Angela L., Nguyen, Bao Kim S., Bolin, Jennifer M., Stewart, Ron, Thomson, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381617/
https://www.ncbi.nlm.nih.gov/pubmed/25831155
http://dx.doi.org/10.1038/srep09570
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author Hou, Zhonggang
Jiang, Peng
Swanson, Scott A.
Elwell, Angela L.
Nguyen, Bao Kim S.
Bolin, Jennifer M.
Stewart, Ron
Thomson, James A.
author_facet Hou, Zhonggang
Jiang, Peng
Swanson, Scott A.
Elwell, Angela L.
Nguyen, Bao Kim S.
Bolin, Jennifer M.
Stewart, Ron
Thomson, James A.
author_sort Hou, Zhonggang
collection PubMed
description RNA sequencing has increasingly become an indispensable tool for biological research. While sequencing costs have fallen dramatically in recent years, the current cost of RNA sequencing, nonetheless, remains a barrier to even more widespread adoption. Here, we present a simple RNA sequencing protocol with substantially reduced costs. This protocol uses as little as 10 ng of total RNA, allows multiplex sequencing of up to 96 samples per lane, and is strand specific. Extensive validation using human embryonic stem cells showed high consistency between technical replicates at various multiplexing levels.
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spelling pubmed-43816172015-04-07 A cost-effective RNA sequencing protocol for large-scale gene expression studies Hou, Zhonggang Jiang, Peng Swanson, Scott A. Elwell, Angela L. Nguyen, Bao Kim S. Bolin, Jennifer M. Stewart, Ron Thomson, James A. Sci Rep Article RNA sequencing has increasingly become an indispensable tool for biological research. While sequencing costs have fallen dramatically in recent years, the current cost of RNA sequencing, nonetheless, remains a barrier to even more widespread adoption. Here, we present a simple RNA sequencing protocol with substantially reduced costs. This protocol uses as little as 10 ng of total RNA, allows multiplex sequencing of up to 96 samples per lane, and is strand specific. Extensive validation using human embryonic stem cells showed high consistency between technical replicates at various multiplexing levels. Nature Publishing Group 2015-04-01 /pmc/articles/PMC4381617/ /pubmed/25831155 http://dx.doi.org/10.1038/srep09570 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hou, Zhonggang
Jiang, Peng
Swanson, Scott A.
Elwell, Angela L.
Nguyen, Bao Kim S.
Bolin, Jennifer M.
Stewart, Ron
Thomson, James A.
A cost-effective RNA sequencing protocol for large-scale gene expression studies
title A cost-effective RNA sequencing protocol for large-scale gene expression studies
title_full A cost-effective RNA sequencing protocol for large-scale gene expression studies
title_fullStr A cost-effective RNA sequencing protocol for large-scale gene expression studies
title_full_unstemmed A cost-effective RNA sequencing protocol for large-scale gene expression studies
title_short A cost-effective RNA sequencing protocol for large-scale gene expression studies
title_sort cost-effective rna sequencing protocol for large-scale gene expression studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381617/
https://www.ncbi.nlm.nih.gov/pubmed/25831155
http://dx.doi.org/10.1038/srep09570
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