《生命科学》 2015, 27(7): 946-952

鉴定和预测长非编码RNAs的生物信息学方法

陈思佟1，岑　益2，柳建发1，李　洋1，廖　奇1*

(1 宁波大学医学院，宁波 315211；2 宁波市公安局鄞州分局，宁波 315100)

摘　要：摘　要：越来越多的研究表明，长非编码RNAs(long non-coding RNAs， lncRNAs) 可以调节蛋白质编码基因的表达、稳定性及亚细胞定位，参与众多重要的生物过程。由于lncRNAs 是一类新发现的非编码RNAs，挖掘各物种的lncRNAs 仍然是一个值得研究的问题。其中，利用生物信息学方法挖掘和鉴定lncRNAs 已经成为当前生物信息学家研究的一个热点。现就基于生物信息学方法对lncRNAs 的鉴定研究作一综述，主要内容分为两大类：基于测序和基于特征的计算机预测方法。基于测序又包括EST 测序、cDNA 测序及二代转录组RNA 测序；而基于特征的计算机预测则主要包含基于序列保守性、基于碱基排列顺序及基于表观遗传修饰特征。通过以上几方面的论述，来阐明目前lncRNAs 鉴定方法的现状和进展。

Bioinformatics methods of identifying and predicting long noncoding RNAs

CHEN Si-Tong1， CEN Yi2， LIU Jian-Fa1， LI Yang1， LIAO Qi1*

(1 School of Medicine， Ningbo University， Ningbo 315211， China; 2 Yinzhou Branch of
    Ningbo Public Security Bureau， Ningbo 315100， China)

Abstract: Abstract: More and more researches show that long non-coding RNAs (lncRNAs) play an important role in a number of biological processes through regulating the expression， stability and subcellular location of proteincoding genes. As lncRNAs are a kind of ncRNAs recently found， identification of lncRNAs in each organism is an emergency task. Among them， identification of lncRNAs using bioinformatics methods is a hot topic for bioinformatists. In this review， we mainly summarize the bioinformatics approaches of lncRNAs identification and prediction. The mothods are divided into two major parts: sequencing technology-based method and sequence characters-based computational prediction method. Sequencing technology-based method includes EST sequencing， cDNA sequencing and next-generation RNA-seq， while sequence characters-based computational prediction method includes sequence conservation， nucleotide arrangement and epigenetics modifications. The review aids to clarify the present status and progress of lncRNAs identification method.