BMC Research Notes | |
An automated method for efficient, accurate and reproducible construction of RNA-seq libraries | |
Michael Joseph Buck1  Norma Nowak1  Brandon Marzullo1  Jonathan Bard1  Sujith Valiyaparambil1  Maria Tsompana1  | |
[1] Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., Buffalo, 14203, NY, USA | |
关键词: Transcription; Epigenetics; Chromatin; Next generation sequencing; RNA-seq; | |
Others : 1164303 DOI : 10.1186/s13104-015-1089-9 |
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received in 2014-06-02, accepted in 2015-03-24, 发布年份 2015 | |
【 摘 要 】
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.
【 授权许可】
2015 Tsompana et al.; licensee BioMed Central.
【 预 览 】
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20150414021741357.pdf | 971KB | download | |
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Figure 1. | 72KB | Image | download |
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