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An automated method for efficient, accurate and reproducible construction of RNA-seq libraries
BACKGROUND: Integration of RNA-seq expression data with knowledge on chromatin accessibility, histone modifications, DNA methylation, and transcription factor binding has been instrumental for the unveiling of cell-specific local and long-range regulatory patterns, facilitating further investigation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391147/ https://www.ncbi.nlm.nih.gov/pubmed/25879881 http://dx.doi.org/10.1186/s13104-015-1089-9 |
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author | Tsompana, Maria Valiyaparambil, Sujith Bard, Jonathan Marzullo, Brandon Nowak, Norma Buck, Michael Joseph |
author_facet | Tsompana, Maria Valiyaparambil, Sujith Bard, Jonathan Marzullo, Brandon Nowak, Norma Buck, Michael Joseph |
author_sort | Tsompana, Maria |
collection | PubMed |
description | BACKGROUND: Integration of RNA-seq expression data with knowledge on chromatin accessibility, histone modifications, DNA methylation, and transcription factor binding has been instrumental for the unveiling of cell-specific local and long-range regulatory patterns, facilitating further investigation on the underlying rules of transcription regulation at an individual and allele-specific level. However, full genome transcriptome characterization has been partially limited by the complexity and increased time-requirements of available RNA-seq library construction protocols. FINDINGS: Use of the SX-8G IP-Star® Compact System significantly reduces the hands-on time for RNA-seq library synthesis, adenylation, and adaptor ligation providing with high quality RNA-seq libraries tailored for Illumina high-throughput next-generation sequencing. Generated data exhibits high technical reproducibility compared to data from RNA-seq libraries synthesized manually for the same samples. Obtained results are consistent regardless the researcher, day of the experiment, and experimental run. CONCLUSIONS: Overall, the SX-8G IP-Star® Compact System proves an efficient, fast and reliable tool for the construction of next-generation RNA-seq libraries especially for trancriptome-based annotation of larger genomes. |
format | Online Article Text |
id | pubmed-4391147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43911472015-04-10 An automated method for efficient, accurate and reproducible construction of RNA-seq libraries Tsompana, Maria Valiyaparambil, Sujith Bard, Jonathan Marzullo, Brandon Nowak, Norma Buck, Michael Joseph BMC Res Notes Technical Note BACKGROUND: Integration of RNA-seq expression data with knowledge on chromatin accessibility, histone modifications, DNA methylation, and transcription factor binding has been instrumental for the unveiling of cell-specific local and long-range regulatory patterns, facilitating further investigation on the underlying rules of transcription regulation at an individual and allele-specific level. However, full genome transcriptome characterization has been partially limited by the complexity and increased time-requirements of available RNA-seq library construction protocols. FINDINGS: Use of the SX-8G IP-Star® Compact System significantly reduces the hands-on time for RNA-seq library synthesis, adenylation, and adaptor ligation providing with high quality RNA-seq libraries tailored for Illumina high-throughput next-generation sequencing. Generated data exhibits high technical reproducibility compared to data from RNA-seq libraries synthesized manually for the same samples. Obtained results are consistent regardless the researcher, day of the experiment, and experimental run. CONCLUSIONS: Overall, the SX-8G IP-Star® Compact System proves an efficient, fast and reliable tool for the construction of next-generation RNA-seq libraries especially for trancriptome-based annotation of larger genomes. BioMed Central 2015-04-03 /pmc/articles/PMC4391147/ /pubmed/25879881 http://dx.doi.org/10.1186/s13104-015-1089-9 Text en © Tsompana et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Technical Note Tsompana, Maria Valiyaparambil, Sujith Bard, Jonathan Marzullo, Brandon Nowak, Norma Buck, Michael Joseph An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title | An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title_full | An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title_fullStr | An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title_full_unstemmed | An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title_short | An automated method for efficient, accurate and reproducible construction of RNA-seq libraries |
title_sort | automated method for efficient, accurate and reproducible construction of rna-seq libraries |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391147/ https://www.ncbi.nlm.nih.gov/pubmed/25879881 http://dx.doi.org/10.1186/s13104-015-1089-9 |
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