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Cancer RNA-Seq Nexus: A database of phenotype-specific transcriptome profiling in cancer cells

  • Jian Rong Li
  • , Chuan Hu Sun
  • , Wenyuan Li
  • , Rou Fang Chao
  • , Chieh Chen Huang
  • , Xianghong Jasmine Zhou
  • , Chun Chi Liu*
  • *Corresponding author for this work
  • National Chung Hsing University
  • University of Southern California

Research output: Contribution to journalJournal Article peer-review

94 Scopus citations

Abstract

The genome-wide transcriptome profiling of cancerous and normal tissue samples can provide insights into the molecular mechanisms of cancer initiation and progression. RNA Sequencing (RNA-Seq) is a revolutionary tool that has been used extensively in cancer research. However, no existing RNA-Seq database provides all of the following features: (i) large-scale and comprehensive data archives and analyses, including coding-transcript profiling, long non-coding RNA (lncRNA) profiling and coexpression networks; (ii) phenotype-oriented data organization and searching and (iii) the visualization of expression profiles, differential expression and regulatory networks. We have constructed the first public database that meets these criteria, the Cancer RNASeq Nexus (CRN, http://syslab4.nchu.edu.tw/CRN). CRN has a user-friendly web interface designed to facilitate cancer research and personalized medicine. It is an open resource for intuitive data exploration, providing coding-transcript/lncRNA expression profiles to support researchers generating new hypotheses in cancer research and personalized medicine.

Original languageEnglish
Pages (from-to)D944-D951
JournalNucleic Acids Research
Volume44
Issue numberD1
DOIs
StatePublished - 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2015.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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