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Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH

A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid the cost of sequencing non-messenger transcripts, such...

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Autores principales: Loi, Danson S.C., Yu, Lei, Wu, Angela R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812930/
https://www.ncbi.nlm.nih.gov/pubmed/33520469
http://dx.doi.org/10.7717/peerj.10717
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author Loi, Danson S.C.
Yu, Lei
Wu, Angela R.
author_facet Loi, Danson S.C.
Yu, Lei
Wu, Angela R.
author_sort Loi, Danson S.C.
collection PubMed
description A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid the cost of sequencing non-messenger transcripts, such as ribosomal RNA (rRNA), that are usually not of-interest. Hence, there are not very many protocols that enable single-cell analysis of total RNA. We adapted a method called DASH (Depletion of Abundant Sequences by Hybridisation) to make it suitable for depleting rRNA sequences from single-cell total RNA-seq libraries. Our analyses show that our single-cell DASH (scDASH) method can effectively deplete rRNAs from sequencing libraries with minimal off-target non-specificity. Importantly, as a result of depleting the rRNA, the rest of the transcriptome is significantly enriched for detection.
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spelling pubmed-78129302021-01-28 Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH Loi, Danson S.C. Yu, Lei Wu, Angela R. PeerJ Bioengineering A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid the cost of sequencing non-messenger transcripts, such as ribosomal RNA (rRNA), that are usually not of-interest. Hence, there are not very many protocols that enable single-cell analysis of total RNA. We adapted a method called DASH (Depletion of Abundant Sequences by Hybridisation) to make it suitable for depleting rRNA sequences from single-cell total RNA-seq libraries. Our analyses show that our single-cell DASH (scDASH) method can effectively deplete rRNAs from sequencing libraries with minimal off-target non-specificity. Importantly, as a result of depleting the rRNA, the rest of the transcriptome is significantly enriched for detection. PeerJ Inc. 2021-01-15 /pmc/articles/PMC7812930/ /pubmed/33520469 http://dx.doi.org/10.7717/peerj.10717 Text en ©2021 Loi et al. https://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0) , which permits using, remixing, and building upon the work non-commercially, as long as it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioengineering
Loi, Danson S.C.
Yu, Lei
Wu, Angela R.
Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title_full Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title_fullStr Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title_full_unstemmed Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title_short Effective ribosomal RNA depletion for single-cell total RNA-seq by scDASH
title_sort effective ribosomal rna depletion for single-cell total rna-seq by scdash
topic Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812930/
https://www.ncbi.nlm.nih.gov/pubmed/33520469
http://dx.doi.org/10.7717/peerj.10717
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