Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88705
Title: A resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissues
Authors: Choy, Jocelyn Y. H.
Boon, Priscilla L. S.
Bertin, Nicolas
Fullwood, Melissa Jane
Keywords: DRNTU::Science::Biological sciences
RNA
Human Tissues
Issue Date: 2015
Source: Choy, J. Y. H., Boon, P. L. S., Bertin, N., & Fullwood, M. J. (2015). A resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissues. Scientific Data, 2, 150063-. doi:10.1038/sdata.2015.63
Series/Report no.: Scientific Data
Abstract: Gene expression is the most fundamental level at which the genotype leads to the phenotype of the organism. Enabled by ultra-high-throughput next-generation DNA sequencing, RNA-Seq involves shotgun sequencing of fragmented RNA transcripts by next-generation sequencing followed by in silico assembly, and is rapidly becoming the most popular method for gene expression analysis. Poly[A]+ RNA-Seq analyses of normal human adult tissue samples such as Illumina’s Human BodyMap 2.0 Project and the RNA-Seq atlas have provided a useful global resource and framework for comparisons with diseased tissues such as cancer. However, these analyses have failed to provide information on poly[A]−RNA, which is abundant in our cells. The most recent advances in RNA-Seq analyses use ribosomal RNA-depletion to provide information on both poly[A]+ and poly[A]−RNA. In this paper, we describe the use of Illumina’s HiSeq 2000 to generate high quality rRNA-depleted RNA-Seq datasets from human fetal and adult tissues. The datasets reported here will be useful in understanding the different expression profiles in different tissues.
URI: https://hdl.handle.net/10356/88705
http://hdl.handle.net/10220/45909
DOI: 10.1038/sdata.2015.63
Rights: © 2015 The Author(s) (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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