Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Arguel, Marie-Jeanne, LeBrigand, Kevin, Paquet, Agnès, Ruiz García, Sandra, Zaragosi, Laure-Emmanuelle, Barbry, Pascal, Waldmann, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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
_version_ 1783230211546939392
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
work_keys_str_mv AT arguelmariejeanne acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT lebrigandkevin acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT paquetagnes acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT ruizgarciasandra acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT zaragosilaureemmanuelle acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT barbrypascal acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT waldmannrainer acosteffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT arguelmariejeanne costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT lebrigandkevin costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT paquetagnes costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT ruizgarciasandra costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT zaragosilaureemmanuelle costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT barbrypascal costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign
AT waldmannrainer costeffective5selectivesinglecelltranscriptomeprofilingapproachwithimprovedumidesign