Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

This article is part of the supplement: Twelfth International Conference on Bioinformatics (InCoB2013): Computational Biology

Open Access Research

Systematically profiling and annotating long intergenic non-coding RNAs in human embryonic stem cell

Xing Tang1, Mei Hou1, Yang Ding1, Zhaohui Li2, Lichen Ren1 and Ge Gao1*

Author Affiliations

1 School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, Peking University, Beijing, 100871, P.R. China

2 School of Life Sciences, Tsinghua University, Beijing, 100084, P.R. China

For all author emails, please log on.

BMC Genomics 2013, 14(Suppl 5):S3  doi:10.1186/1471-2164-14-S5-S3

Published: 16 October 2013

Abstract

Background

While more and more long intergenic non-coding RNAs (lincRNAs) were identified to take important roles in both maintaining pluripotency and regulating differentiation, how these lincRNAs may define and drive cell fate decisions on a global scale are still mostly elusive. Systematical profiling and comprehensive annotation of embryonic stem cells lincRNAs may not only bring a clearer big picture of these novel regulators but also shed light on their functionalities.

Results

Based on multiple RNA-Seq datasets, we systematically identified 300 human embryonic stem cell lincRNAs (hES lincRNAs). Of which, one forth (78 out of 300) hES lincRNAs were further identified to be biasedly expressed in human ES cells. Functional analysis showed that they were preferentially involved in several early-development related biological processes. Comparative genomics analysis further suggested that around half of the identified hES lincRNAs were conserved in mouse. To facilitate further investigation of these hES lincRNAs, we constructed an online portal for biologists to access all their sequences and annotations interactively. In addition to navigation through a genome browse interface, users can also locate lincRNAs through an advanced query interface based on both keywords and expression profiles, and analyze results through multiple tools.

Conclusions

By integrating multiple RNA-Seq datasets, we systematically characterized and annotated 300 hES lincRNAs. A full functional web portal is available freely at http://scbrowse.cbi.pku.edu.cn webcite. As the first global profiling and annotating of human embryonic stem cell lincRNAs, this work aims to provide a valuable resource for both experimental biologists and bioinformaticians.