生物技术通报 ›› 2016, Vol. 32 ›› Issue (9): 23-31.doi: 10.13560/j.cnki.biotech.bull.1985.2016.09.004

• 综述与专论 • 上一篇    下一篇

长链非编码RAN的研究进展

宋娜娜, 柴志欣, 钟金城   

  1. 西南民族大学 动物遗传育种学国家民委-教育部重点实验室 青藏高原研究院 成都 610041
  • 收稿日期:2016-01-19 出版日期:2016-09-25 发布日期:2016-10-10
  • 作者简介:宋娜娜,女,硕士研究生,研究方向:基因组与分子生物学;E-mail:songnana28@126.com
  • 基金资助:
    四川省科技项目(2015JY0248),西南民族大学研究生创新型科研项目(CX2015SZ103)

Research Advances on Long Non-coding RNA

SONG Na-na, CHAI Zhi-xin, ZHONG Jin-cheng   

  1. Key Laboratory of Animal Genetics and Breeding of State Ethnic Affairs Commission and Ministry of Education,Southwest University for Nationalities,Institute of Tibetan Plateau Research,Southwest University for Nationalities,Chengdu 610041
  • Received:2016-01-19 Published:2016-09-25 Online:2016-10-10

摘要: 人类基因组计划完成证实,人类共有3-3.5万个编码基因,这些基因所涵盖的编码信息仅占人类30亿个碱基对中携带遗传信息的1.5%,其余超过98%的遗传信息并不直接编码蛋白质。近些年来由于测序技术的飞速发展,人们发现这部分遗传信息与调控、剪切、转录等生物过程密切相关,其中长链非编码RNA具有表观遗传学调控、转录调控、疾病调控、细胞分化和个体发育等重要的生命过程的调控等过程,因此如何寻找RAN的功能单元和预测新的长链非编码RNA成为很重要的问题。就非编码RNA的起源与进化进行阐述,综述了长链非编码RNA在癌症上的功能,综合了长链非编码RNA一些常见的数据库及使用最新的生物信息学手段和相关技术预测长链非编码RNA,并进行进一步的功能研究。

关键词: 长链非编码RNA, 癌症, 数据库, 生物信息学

Abstract: The completion of the Human Genome Project confirmed that there is a total of 30-35 thousand coding genes,the encoding information of these genes covers only 1.5% of human 3 billion base pairs carrying the genetic information,and over 98 percent of genetic information does not directly encode the proteins. In recent years,with the rapid development of sequencing technology,it is found that genetic information of non-protein-coding genes is closely related to regulation,slicing,transcription and other biological processes. Long non-coding RNA(lncRNA)regulates the critical life processes such as epigenetic regulation,transcriptional regulation,disease control,cell differentiation,and individual development,thus it become an extremely crucial issue that how to seek the RNA functional units and predict the novel long non-coding RNA. In this review,we summarize the origin and evolution of lncRNA,the functioning in cancer biology,and some common database of lncRNA,as well as using the latest bioinformatics tools and related technologies to predict lncRNAs for further functional studies.

Key words: lncRNA, cancer, database, bioinformatics