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Prime-seq, efficient and powerful bulk RNA sequencing
Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method. We show that it performs equivalently to TruSeq, a standard bulk RNA-seq method, but is fourfold more cost...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969310/ https://www.ncbi.nlm.nih.gov/pubmed/35361256 http://dx.doi.org/10.1186/s13059-022-02660-8 |
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author | Janjic, Aleksandar Wange, Lucas E. Bagnoli, Johannes W. Geuder, Johanna Nguyen, Phong Richter, Daniel Vieth, Beate Vick, Binje Jeremias, Irmela Ziegenhain, Christoph Hellmann, Ines Enard, Wolfgang |
author_facet | Janjic, Aleksandar Wange, Lucas E. Bagnoli, Johannes W. Geuder, Johanna Nguyen, Phong Richter, Daniel Vieth, Beate Vick, Binje Jeremias, Irmela Ziegenhain, Christoph Hellmann, Ines Enard, Wolfgang |
author_sort | Janjic, Aleksandar |
collection | PubMed |
description | Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method. We show that it performs equivalently to TruSeq, a standard bulk RNA-seq method, but is fourfold more cost-efficient due to almost 50-fold cheaper library costs. We also validate a direct RNA isolation step, show that intronic reads are derived from RNA, and compare cost-efficiencies of available protocols. We conclude that prime-seq is currently one of the best options to set up an early barcoding bulk RNA-seq protocol from which many labs would profit. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02660-8. |
format | Online Article Text |
id | pubmed-8969310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89693102022-04-01 Prime-seq, efficient and powerful bulk RNA sequencing Janjic, Aleksandar Wange, Lucas E. Bagnoli, Johannes W. Geuder, Johanna Nguyen, Phong Richter, Daniel Vieth, Beate Vick, Binje Jeremias, Irmela Ziegenhain, Christoph Hellmann, Ines Enard, Wolfgang Genome Biol Method Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method. We show that it performs equivalently to TruSeq, a standard bulk RNA-seq method, but is fourfold more cost-efficient due to almost 50-fold cheaper library costs. We also validate a direct RNA isolation step, show that intronic reads are derived from RNA, and compare cost-efficiencies of available protocols. We conclude that prime-seq is currently one of the best options to set up an early barcoding bulk RNA-seq protocol from which many labs would profit. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02660-8. BioMed Central 2022-03-31 /pmc/articles/PMC8969310/ /pubmed/35361256 http://dx.doi.org/10.1186/s13059-022-02660-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method Janjic, Aleksandar Wange, Lucas E. Bagnoli, Johannes W. Geuder, Johanna Nguyen, Phong Richter, Daniel Vieth, Beate Vick, Binje Jeremias, Irmela Ziegenhain, Christoph Hellmann, Ines Enard, Wolfgang Prime-seq, efficient and powerful bulk RNA sequencing |
title | Prime-seq, efficient and powerful bulk RNA sequencing |
title_full | Prime-seq, efficient and powerful bulk RNA sequencing |
title_fullStr | Prime-seq, efficient and powerful bulk RNA sequencing |
title_full_unstemmed | Prime-seq, efficient and powerful bulk RNA sequencing |
title_short | Prime-seq, efficient and powerful bulk RNA sequencing |
title_sort | prime-seq, efficient and powerful bulk rna sequencing |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969310/ https://www.ncbi.nlm.nih.gov/pubmed/35361256 http://dx.doi.org/10.1186/s13059-022-02660-8 |
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