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Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries
RNA sequencing (RNA-Seq) experiments focused on gene expression involve removal of ribosomal RNA (rRNA) because it is the major RNA constituent of cells. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing must be performed to compensate for...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527493/ https://www.ncbi.nlm.nih.gov/pubmed/34518880 http://dx.doi.org/10.1093/g3journal/jkab301 |
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author | Telzrow, Calla L Zwack, Paul J Esher Righi, Shannon Dietrich, Fred S Chan, Cliburn Owzar, Kouros Alspaugh, J Andrew Granek, Joshua A |
author_facet | Telzrow, Calla L Zwack, Paul J Esher Righi, Shannon Dietrich, Fred S Chan, Cliburn Owzar, Kouros Alspaugh, J Andrew Granek, Joshua A |
author_sort | Telzrow, Calla L |
collection | PubMed |
description | RNA sequencing (RNA-Seq) experiments focused on gene expression involve removal of ribosomal RNA (rRNA) because it is the major RNA constituent of cells. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing must be performed to compensate for the sequencing reads wasted on rRNA. The ideal RNA enrichment method removes all rRNA without affecting other RNA in the sample. We tested the performance of three RNA enrichment methods on RNA isolated from Cryptococcus neoformans, a fungal pathogen of humans. We find that the RNase H depletion method is more efficient in depleting rRNA and more specific in recapitulating non-rRNA levels present in unenriched controls than the commonly-used Poly(A) isolation method. The RNase H depletion method is also more effective than the Ribo-Zero depletion method as measured by rRNA depletion efficiency and recapitulation of protein-coding RNA levels present in unenriched controls, while the Ribo-Zero depletion method more closely recapitulates annotated non-coding RNA (ncRNA) levels. Finally, we leverage these data to accurately map the C. neoformans mitochondrial rRNA genes, and also demonstrate that RNA-Seq data generated with the RNase H and Ribo-Zero depletion methods can be used to explore novel C. neoformans long non-coding RNA genes. |
format | Online Article Text |
id | pubmed-8527493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85274932021-10-20 Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries Telzrow, Calla L Zwack, Paul J Esher Righi, Shannon Dietrich, Fred S Chan, Cliburn Owzar, Kouros Alspaugh, J Andrew Granek, Joshua A G3 (Bethesda) Investigation RNA sequencing (RNA-Seq) experiments focused on gene expression involve removal of ribosomal RNA (rRNA) because it is the major RNA constituent of cells. This process, called RNA enrichment, is done primarily to reduce cost: without rRNA removal, deeper sequencing must be performed to compensate for the sequencing reads wasted on rRNA. The ideal RNA enrichment method removes all rRNA without affecting other RNA in the sample. We tested the performance of three RNA enrichment methods on RNA isolated from Cryptococcus neoformans, a fungal pathogen of humans. We find that the RNase H depletion method is more efficient in depleting rRNA and more specific in recapitulating non-rRNA levels present in unenriched controls than the commonly-used Poly(A) isolation method. The RNase H depletion method is also more effective than the Ribo-Zero depletion method as measured by rRNA depletion efficiency and recapitulation of protein-coding RNA levels present in unenriched controls, while the Ribo-Zero depletion method more closely recapitulates annotated non-coding RNA (ncRNA) levels. Finally, we leverage these data to accurately map the C. neoformans mitochondrial rRNA genes, and also demonstrate that RNA-Seq data generated with the RNase H and Ribo-Zero depletion methods can be used to explore novel C. neoformans long non-coding RNA genes. Oxford University Press 2021-08-26 /pmc/articles/PMC8527493/ /pubmed/34518880 http://dx.doi.org/10.1093/g3journal/jkab301 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Telzrow, Calla L Zwack, Paul J Esher Righi, Shannon Dietrich, Fred S Chan, Cliburn Owzar, Kouros Alspaugh, J Andrew Granek, Joshua A Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title | Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title_full | Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title_fullStr | Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title_full_unstemmed | Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title_short | Comparative analysis of RNA enrichment methods for preparation of Cryptococcus neoformans RNA sequencing libraries |
title_sort | comparative analysis of rna enrichment methods for preparation of cryptococcus neoformans rna sequencing libraries |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527493/ https://www.ncbi.nlm.nih.gov/pubmed/34518880 http://dx.doi.org/10.1093/g3journal/jkab301 |
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