Systematic LncRNA Classification

From: http://www.arraystar.com/Services/Services_main.asp?ID=307

Analyzing the genomic context of LncRNAs can help predict their functional role. According to the relationship between LncRNAs and their associated protein-coding genes, LncRNAs detected by Arraystar Microarray are characterized as antisense, bidirectional, intronic, sense overlapping and intergenic LncRNAs. Based on these specialized classifications, we can perform LncRNA subgroup analyses which will help identify the putative functional relationship between LncRNAs and their associated protein-coding genes.
 
LncRNA Classification
The subgroup of LncRNAs
The number of LncRNAs
Intergenic LncRNAs (LincRNAs)
19590
Intronic LncRNAs
4409
Bidirectional LncRNAs
1299
Sense overlapping LncRNAs
1597
Antisense LncRNAs
3691
 
 
 
 
 
 
 
 
I. Intergenic LncRNAs
 
Intergenic LncRNAs are long non-coding RNAs which locate between annotated protein-coding genes and are at least 1 kb away from the nearest protein-coding genes. They are named according to their 3-protein-coding genes nearby. Gene expression patterns have implicated these LincRNAs in diverse biological processes, including cell-cycle regulation, immune surveillance and embryonic stem cell pluripotency. LincRNAs collaborate with chromatin modifying protein (PRC2, CoREST and SCMX) to regulate gene expression at specific loci. [1]
 
II. Bidirectional LncRNAs
 
A Bidirectional LncRNA is oriented head to head with a protein-coding gene within 1kb. A Bidirectional LncRNA transcript exhibits a similar expression pattern to its protein-coding counterpart which suggests that they may be subject to share regulatory pressures. However, the discordant expression relationships between bidirectional LncRNAs and protein coding gene pairs have also been found, challenging the assertion that LncRNA transcription occurs solely to "open" chromatin to promote the expression of neighboring coding genes. [2-4]
III. Intronic LncRNAs
 
Intronic LncRNAs are RNA molecules that overlap with the intron of annotated coding genes in either sense or antisense orientation. Most of the Intronic LncRNAs have the same tissue expression patterns as the corresponding coding genes, and may stabilize protein-coding transcripts or regulate their alternative splicing. [5]
 
IV. Antisense LncRNAs
 
Antisense LncRNAs are RNA molecules that are transcribed from the antisense strand and overlap in part with well-defined spliced sense or intronless sense RNAs. Antisense-overlapping LncRNAs have a tendency to undergo fewer splicing events and typically show lower abundance than sense transcripts.[6] The basal expression levels of antisense-overlapping LncRNAs and sense mRNAs in different tissues and cell lines can be either positively or negatively regulated [7, 8]. Antisense-overlapping LncRNAs are frequently functional and use diverse transcriptional and post-transcriptional gene regulatory mechanisms to carry out a wide variety of biological roles.
 
V. Sense-overlapping LncRNAs
 
These LncRNAs can be considered transcript variants of protein-coding mRNAs, as they overlap with a known annotated gene on the same genomic strand. The majority of these LncRNAs lack substantial open reading frames (ORFs) for protein translation, while others contain an open reading frame that shares the same start codon as a protein-coding transcript for that gene, but unlikely encode a protein for several reasons, including non-sense mediated decay (NMD) issues that limits the translation of mRNAs with premature termination stop codons and trigger NMD-mediated destruction of the mRNA, or an upstream alternative open reading frame which inhibits the translation of the predicted ORF.
 
Reference:
1.  Khalil, A.M., et al., Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc Natl Acad Sci U S A, 2009. 106(28): p. 11667-72.
2.  Chakalova, L., et al., Replication and transcription: shaping the landscape of the genome. Nat Rev Genet, 2005. 6(9): p. 669-77.
3.  Struhl, K., Transcriptional noise and the fidelity of initiation by RNA polymerase II. Nat Struct Mol Biol, 2007. 14(2): p. 103-5.
4.  Mercer, T.R., et al., Specific expression of long noncoding RNAs in the mouse brain. Proc Natl Acad Sci U S A, 2008. 105(2): p. 716-21.
5.  Nakaya, H.I., et al., Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription. Genome Biol, 2007. 8(3): p. R43.
6.  He, Y., et al., The antisense transcriptomes of human cells. Science, 2008. 322(5909): p. 1855-7.
7.  Katayama, S., et al., Antisense transcription in the mammalian transcriptome. Science, 2005. 309(5740): p. 1564-6.
8.  Okada, Y., et al., Comparative expression analysis uncovers novel features of endogenous antisense transcription. Hum Mol Genet, 2008. 17(11): p. 1631-40.

Systematic LncRNA Classification的更多相关文章

  1. lncRNA研究

    ------------------------------- Long noncoding RNAs are rarely translated in two human cell lines. ( ...

  2. 七种常见的核酸序列蛋白编码能力预测工具 | ncRNAs | lncRNA

    注:这些工具的应用都是受限的,有些本来就是只能用于预测动物,在使用之前务必用ground truth数据来测试一些.我想预测某一个植物的转录本,所以可以拿已经注释得比较好的拟南芥来测试一下.(测试的结 ...

  3. 【云迁移论文笔记】Cloud Migration Research:A Systematic Review

    Cloud Migration Research:A Systematic Review Author Info: Pooyan Jamshidi PhD Postdoctoral Researche ...

  4. Online Classification

    Another challenging trend in Internet evolution is the tremendous growth of the infrastructure in ev ...

  5. W3School-CSS 分类 (Classification) 实例

    CSS 分类 (Classification) 实例 CSS 实例 CSS 背景实例 CSS 文本实例 CSS 字体(font)实例 CSS 边框(border)实例 CSS 外边距 (margin) ...

  6. Large Margin DAGs for Multiclass Classification

    Abstract We present a new learning architecture: the Decision Directed Acyclic Graph (DDAG), which i ...

  7. 《ImageNet Classification with Deep Convolutional Neural Networks》 剖析

    <ImageNet Classification with Deep Convolutional Neural Networks> 剖析 CNN 领域的经典之作, 作者训练了一个面向数量为 ...

  8. 自然语言23_Text Classification with NLTK

    QQ:231469242 欢迎喜欢nltk朋友交流 https://www.pythonprogramming.net/text-classification-nltk-tutorial/?compl ...

  9. MATLAB 图像分类 Image Category Classification Using Bag of Features

    使用MATLAB实现图像的识别,这是MATLAB官网上面的例子,学习一下. http://cn.mathworks.com/help/vision/examples/image-category-cl ...

随机推荐

  1. Debian下配置网络的方法

    1.网络配置 配置网卡修改 /etc/network/interfaces 添加如下 # #号后面是备注,不要添加哦! auto eth0 #开机自动激活 iface eth0 inte static ...

  2. 关于基于.NET Framework的网络通信程序底层扫盲

    引自<三维游戏引擎的设计与实现>书中9.3节:          如果服务端在.Net Framework基础上开发,那么可以直接选择使用.Net Framework提供的Socket类, ...

  3. oracle的面试问题

    1. Oracle跟SQL Server 2005的区别? 宏观上: 1). 最大的区别在于平台,oracle可以运行在不同的平台上,sql server只能运行在windows平台上,由于windo ...

  4. Maven创建多个子项目

    一.下载jdk并安装:下载apache-maven包,解压到指定目录.(例:D:\Java\apache-maven-3.3.9) 二.配置环境. 1.配置jdk环境 系统变量 (1)JAVA_HOM ...

  5. html5 canvas 笔记二(添加样式和颜色)

    色彩 Colors fillStyle = color 设置图形的填充颜色. strokeStyle = color 设置图形轮廓的颜色. 透明度 Transparency globalAlpha = ...

  6. Linux下命令行安装WebLogic 10.3.6

    1.创建用户useradd weblogic;创建用户成功linux系统会自动创建一个和用户名相同的分组,并将该用户分到改组中.并会在/home路径下创建一个和用户名相同的路径,比如我们创建的webl ...

  7. thinkPHP3.2.3完整版 在sae上面的部署

    第一步:         thinkPHP3.2.3完整版,目录结构如下 第二步:在新浪sae上面创建一个新应用 第三步:用svn  down,下来会有两个文件:index.php.config.ya ...

  8. 20145227 《Java程序设计》第8周学习总结

    20145227 <Java程序设计>第8周学习总结 教材学习内容总结 第十四章 NIO与NIO2 NIO即New IO.java从JDK1.4开始提供了NIO,在JAVA SE 7 中又 ...

  9. python: hashlib 加密模块

    加密模块hashlib import hashlib m=hashlib.md5() m.update(b'hello') print(m.hexdigest()) #十六进制加密 m.update( ...

  10. SQL数据类型大全 《转自网络》

    数据类型是数据的一种属性,表示数据所表示信息的类型.任何一种计算机语言都定义了自己的数据类型.当然,不同的程序语言都具有不同的特点,所定义的数据类型的种类和名称都或多或少有些不同.SQLServer ...