RNA-Seq: Improving Our Understanding of Retinal Biology and Disease

Cold Spring Harb Perspect Med. 2015 Feb 26;5(9):a017152. doi: 10.1101/cshperspect.a017152.

Abstract

Over the past several years, rapid technological advances have allowed for a dramatic increase in our knowledge and understanding of the transcriptional landscape, because of the ability to study gene expression in greater depth and with more detail than previously possible. To this end, RNA-Seq has quickly become one of the most widely used methods for studying transcriptomes of tissues and individual cells. Unlike previously favored analysis methods, RNA-Seq is extremely high-throughput, and is not dependent on an annotated transcriptome, laying the foundation for novel genetic discovery. Additionally, RNA-Seq derived transcriptomes provide a basis for widening the scope of research to identify potential targets in the treatment of retinal disease.

Publication types

  • Review

MeSH terms

  • Animals
  • Base Sequence / genetics*
  • Computational Biology / methods
  • Computational Biology / trends
  • Disease Models, Animal
  • Expressed Sequence Tags
  • Forecasting
  • Gene Library
  • Humans
  • Mice
  • Oligonucleotide Array Sequence Analysis / methods
  • Oligonucleotide Array Sequence Analysis / trends
  • Retinal Diseases / genetics*
  • Sequence Analysis, RNA / methods*
  • Sequence Analysis, RNA / trends
  • Transcriptome / genetics