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A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design
Single cell RNA sequencing approaches are instrumental in studies of cell-to-cell variability. 5΄ selective transcriptome profiling approaches allow simultaneous definition of the transcription start size and have advantages over 3΄ selective approaches which just provide internal sequences close to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397152/ https://www.ncbi.nlm.nih.gov/pubmed/27940562 http://dx.doi.org/10.1093/nar/gkw1242 |
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author | Arguel, Marie-Jeanne LeBrigand, Kevin Paquet, Agnès Ruiz García, Sandra Zaragosi, Laure-Emmanuelle Barbry, Pascal Waldmann, Rainer |
author_facet | Arguel, Marie-Jeanne LeBrigand, Kevin Paquet, Agnès Ruiz García, Sandra Zaragosi, Laure-Emmanuelle Barbry, Pascal Waldmann, Rainer |
author_sort | Arguel, Marie-Jeanne |
collection | PubMed |
description | Single cell RNA sequencing approaches are instrumental in studies of cell-to-cell variability. 5΄ selective transcriptome profiling approaches allow simultaneous definition of the transcription start size and have advantages over 3΄ selective approaches which just provide internal sequences close to the 3΄ end. The only currently existing 5΄ selective approach requires costly and labor intensive fragmentation and cell barcoding after cDNA amplification. We developed an optimized 5΄ selective workflow where all the cell indexing is done prior to fragmentation. With our protocol, cell indexing can be performed in the Fluidigm C1 microfluidic device, resulting in a significant reduction of cost and labor. We also designed optimized unique molecular identifiers that show less sequence bias and vulnerability towards sequencing errors resulting in an improved accuracy of molecule counting. We provide comprehensive experimental workflows for Illumina and Ion Proton sequencers that allow single cell sequencing in a cost range comparable to qPCR assays. |
format | Online Article Text |
id | pubmed-5397152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-53971522017-04-24 A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design Arguel, Marie-Jeanne LeBrigand, Kevin Paquet, Agnès Ruiz García, Sandra Zaragosi, Laure-Emmanuelle Barbry, Pascal Waldmann, Rainer Nucleic Acids Res Methods Online Single cell RNA sequencing approaches are instrumental in studies of cell-to-cell variability. 5΄ selective transcriptome profiling approaches allow simultaneous definition of the transcription start size and have advantages over 3΄ selective approaches which just provide internal sequences close to the 3΄ end. The only currently existing 5΄ selective approach requires costly and labor intensive fragmentation and cell barcoding after cDNA amplification. We developed an optimized 5΄ selective workflow where all the cell indexing is done prior to fragmentation. With our protocol, cell indexing can be performed in the Fluidigm C1 microfluidic device, resulting in a significant reduction of cost and labor. We also designed optimized unique molecular identifiers that show less sequence bias and vulnerability towards sequencing errors resulting in an improved accuracy of molecule counting. We provide comprehensive experimental workflows for Illumina and Ion Proton sequencers that allow single cell sequencing in a cost range comparable to qPCR assays. Oxford University Press 2017-04-20 2016-12-09 /pmc/articles/PMC5397152/ /pubmed/27940562 http://dx.doi.org/10.1093/nar/gkw1242 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Methods Online Arguel, Marie-Jeanne LeBrigand, Kevin Paquet, Agnès Ruiz García, Sandra Zaragosi, Laure-Emmanuelle Barbry, Pascal Waldmann, Rainer A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title | A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title_full | A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title_fullStr | A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title_full_unstemmed | A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title_short | A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design |
title_sort | cost effective 5΄ selective single cell transcriptome profiling approach with improved umi design |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397152/ https://www.ncbi.nlm.nih.gov/pubmed/27940562 http://dx.doi.org/10.1093/nar/gkw1242 |
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