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. linux设备驱动归纳总结(十一):写个简单的看门狗驱动【转】

    本文转载自:http://blog.chinaunix.net/uid-25014876-id-112879.html linux设备驱动归纳总结(十一):写个简单的看门狗驱动 xxxxxxxxxxx ...

  2. mysql字段varchar区分大小写utf8_bin、utf8_general_ci编码区别

    mysql字段varchar区分大小写utf8_bin.utf8_general_ci编码区别 在mysql中存在着各种utf8编码格式:utf8_bin将字符串中的每一个字符用二进制数据存储,区分大 ...

  3. laravel5.1启动详解

    laravel的启动过程 如果没有使用过类似Yii之类的框架,直接去看laravel,会有点一脸迷糊的感觉,起码我是这样的.laravel的启动过程,也是laravel的核心,对这个过程有一个了解,有 ...

  4. Delphi的DateToStr StrToDate格式灵活用法

    Delphi的DateToStr StrToDate格式灵活用法 2008-04-09 10:19 procedure TForm1.Button1Click(Sender: TObject);var ...

  5. Linux 编程中的API函数和系统调用的关系【转】

    转自:http://blog.chinaunix.net/uid-25968088-id-3426027.html 原文地址:Linux 编程中的API函数和系统调用的关系 作者:up哥小号 API: ...

  6. C# 探索c#之Async、Await剖析

    探索c#之Async.Await剖析 作者:蘑菇先生 出处:http://mushroom.cnblogs.com/

  7. 【原创】Nexus搭建Maven私服

    前言: 公司一般都有个自己的私服来管理各种jar包,原因大概有这么3个,分别是: 1.有的公司不能访问外网,只能通过私服来管理jar包和插件: 2.公司网速比较慢,通过公司的私服来获取jar包比较快: ...

  8. 浅析String、StringBuffer、StringBuilder的区别以及性能区别

    前奏: 比较三者之间的区别在与区别他们做相同的事情的时候的区别,那就是在我们常见的拼接字符串的时候,StringBuffer.StringBuilder调用的是appende()方法,而String很 ...

  9. win7中搜索文件内容的方法

    打开“控制面板”,选择“大类别”或“小类别”,然后打开 “索引选项”.点击“高级”按钮,在弹出的对话框中打开“文件类型”标签,在下方的输入框中“将新扩展名添加到列表中”,添加要搜索的未知文本文件的扩展 ...

  10. umask:遮罩码

    查看umask:umask 创建文件:-umask 文件默认不能具有执行权限 创建目录:-umask 设置umask:umask 0022 生效访范围:当前shell