A resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissues

Sci Data. 2015 Nov 10:2:150063. doi: 10.1038/sdata.2015.63. eCollection 2015.

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.

Keywords: Development; RNA sequencing; Transcriptomics.

Publication types

  • Dataset
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Fetus
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Organ Specificity
  • RNA, Ribosomal / genetics*
  • Sequence Analysis, RNA*

Substances

  • RNA, Ribosomal