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A comparative analysis of library prep approaches for sequencing low input translatome samples

BACKGROUND: Cell type-specific ribosome-pulldown has become an increasingly popular method for analysis of gene expression. It allows for expression analysis from intact tissues and monitoring of protein synthesis in vivo. However, while its utility has been assessed, technical aspects related to se...

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Autores principales: Song, Yang, Milon, Beatrice, Ott, Sandra, Zhao, Xuechu, Sadzewicz, Lisa, Shetty, Amol, Boger, Erich T., Tallon, Luke J., Morell, Robert J., Mahurkar, Anup, Hertzano, Ronna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151020/
https://www.ncbi.nlm.nih.gov/pubmed/30241496
http://dx.doi.org/10.1186/s12864-018-5066-2
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author Song, Yang
Milon, Beatrice
Ott, Sandra
Zhao, Xuechu
Sadzewicz, Lisa
Shetty, Amol
Boger, Erich T.
Tallon, Luke J.
Morell, Robert J.
Mahurkar, Anup
Hertzano, Ronna
author_facet Song, Yang
Milon, Beatrice
Ott, Sandra
Zhao, Xuechu
Sadzewicz, Lisa
Shetty, Amol
Boger, Erich T.
Tallon, Luke J.
Morell, Robert J.
Mahurkar, Anup
Hertzano, Ronna
author_sort Song, Yang
collection PubMed
description BACKGROUND: Cell type-specific ribosome-pulldown has become an increasingly popular method for analysis of gene expression. It allows for expression analysis from intact tissues and monitoring of protein synthesis in vivo. However, while its utility has been assessed, technical aspects related to sequencing of these samples, often starting with a smaller amount of RNA, have not been reported. In this study, we evaluated the performance of five library prep protocols for ribosome-associated mRNAs when only 250 pg-4 ng of total RNA are used. RESULTS: We obtained total and RiboTag-IP RNA, in three biological replicates. We compared 5 methods of library preparation for Illumina Next Generation sequencing: NuGEN Ovation RNA-Seq system V2 Kit, TaKaRa SMARTer Stranded Total RNA-Seq Kit, TaKaRa SMART-Seq v4 Ultra Low Input RNA Kit, Illumina TruSeq RNA Library Prep Kit v2 and NEBNext® Ultra™ Directional RNA Library Prep Kit using slightly modified protocols each with 4 ng of total RNA. An additional set of samples was processed using the TruSeq kit with 70 ng, as a ‘gold standard’ control and the SMART-Seq v4 with 250 pg of total RNA. TruSeq-processed samples had the best metrics overall, with similar results for the 4 ng and 70 ng samples. The results of the SMART-Seq v4 processed samples were similar to TruSeq (Spearman correlation > 0.8) despite using lower amount of input RNA. All RiboTag-IP samples had an increase in the intronic reads compared with the corresponding whole tissue, suggesting that the IP captures some immature mRNAs. The SMARTer-processed samples had a higher representation of ribosomal and non-coding RNAs leading to lower representation of protein coding mRNA. The enrichment or depletion of IP samples compared to corresponding input RNA was similar across all kits except for SMARTer kit. CONCLUSION: RiboTag-seq can be performed successfully with as little as 250 pg of total RNA when using the SMART-Seq v4 kit and 4 ng when using the modified protocols of other library preparation kits. The SMART-Seq v4 and TruSeq kits resulted in the highest quality libraries. RiboTag IP RNA contains some immature transcripts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5066-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-61510202018-09-26 A comparative analysis of library prep approaches for sequencing low input translatome samples Song, Yang Milon, Beatrice Ott, Sandra Zhao, Xuechu Sadzewicz, Lisa Shetty, Amol Boger, Erich T. Tallon, Luke J. Morell, Robert J. Mahurkar, Anup Hertzano, Ronna BMC Genomics Research Article BACKGROUND: Cell type-specific ribosome-pulldown has become an increasingly popular method for analysis of gene expression. It allows for expression analysis from intact tissues and monitoring of protein synthesis in vivo. However, while its utility has been assessed, technical aspects related to sequencing of these samples, often starting with a smaller amount of RNA, have not been reported. In this study, we evaluated the performance of five library prep protocols for ribosome-associated mRNAs when only 250 pg-4 ng of total RNA are used. RESULTS: We obtained total and RiboTag-IP RNA, in three biological replicates. We compared 5 methods of library preparation for Illumina Next Generation sequencing: NuGEN Ovation RNA-Seq system V2 Kit, TaKaRa SMARTer Stranded Total RNA-Seq Kit, TaKaRa SMART-Seq v4 Ultra Low Input RNA Kit, Illumina TruSeq RNA Library Prep Kit v2 and NEBNext® Ultra™ Directional RNA Library Prep Kit using slightly modified protocols each with 4 ng of total RNA. An additional set of samples was processed using the TruSeq kit with 70 ng, as a ‘gold standard’ control and the SMART-Seq v4 with 250 pg of total RNA. TruSeq-processed samples had the best metrics overall, with similar results for the 4 ng and 70 ng samples. The results of the SMART-Seq v4 processed samples were similar to TruSeq (Spearman correlation > 0.8) despite using lower amount of input RNA. All RiboTag-IP samples had an increase in the intronic reads compared with the corresponding whole tissue, suggesting that the IP captures some immature mRNAs. The SMARTer-processed samples had a higher representation of ribosomal and non-coding RNAs leading to lower representation of protein coding mRNA. The enrichment or depletion of IP samples compared to corresponding input RNA was similar across all kits except for SMARTer kit. CONCLUSION: RiboTag-seq can be performed successfully with as little as 250 pg of total RNA when using the SMART-Seq v4 kit and 4 ng when using the modified protocols of other library preparation kits. The SMART-Seq v4 and TruSeq kits resulted in the highest quality libraries. RiboTag IP RNA contains some immature transcripts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5066-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-21 /pmc/articles/PMC6151020/ /pubmed/30241496 http://dx.doi.org/10.1186/s12864-018-5066-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Song, Yang
Milon, Beatrice
Ott, Sandra
Zhao, Xuechu
Sadzewicz, Lisa
Shetty, Amol
Boger, Erich T.
Tallon, Luke J.
Morell, Robert J.
Mahurkar, Anup
Hertzano, Ronna
A comparative analysis of library prep approaches for sequencing low input translatome samples
title A comparative analysis of library prep approaches for sequencing low input translatome samples
title_full A comparative analysis of library prep approaches for sequencing low input translatome samples
title_fullStr A comparative analysis of library prep approaches for sequencing low input translatome samples
title_full_unstemmed A comparative analysis of library prep approaches for sequencing low input translatome samples
title_short A comparative analysis of library prep approaches for sequencing low input translatome samples
title_sort comparative analysis of library prep approaches for sequencing low input translatome samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151020/
https://www.ncbi.nlm.nih.gov/pubmed/30241496
http://dx.doi.org/10.1186/s12864-018-5066-2
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