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. 帮初学者改代码——playerc之“练习:求完数问题”(下)

    前文链接:帮初学者改代码——playerc之“练习:求完数问题”(上) 再来看看be_ferfect()应该如何改. be_ferfect()函数的功能是判断number是否为完数,同时把因子对写入d ...

  2. listview 滑动以后设置最上面一行为整行展示

    需求: listview显示的第一行永远为整行,不能为半行. 参考: android listview 每次滑动整行 1. 添加 listview 的 setOnScrollListener() 事件 ...

  3. Java使用基本字节流OutputStream的四种方式对于数据复制(文本,音视频,图像等数据)

    //package 字符缓冲流bufferreaderDemo; import java.io.BufferedOutputStream; import java.io.FileInputStream ...

  4. Java中常见数据结构:list与map

    1:集合 Collection(单列集合) List(有序,可重复) ArrayList 底层数据结构是数组,查询快,增删慢 线程不安全,效率高 Vector 底层数据结构是数组,查询快,增删慢 线程 ...

  5. 修改Linux时间一般涉及到3个命令: date, clock, hwclock

    原贴:http://203.208.37.104/search?q=cache:p1vAAHvs9ikJ:www.goldthe.com /blog/%3Faction%3Dshowlog%26gid ...

  6. crontab实现每秒执行

    crontab: #!/bin/bash step=$1 #每多少秒执行一次 ; i < ; i=(i+step) )); do date +%Y%m%d' '%H:%M:%S >> ...

  7. socket的心跳包机制

    网络中的接收和发送数据都是使用操作系统中的SOCKET进行实现.但是如果此套接字已经断开,那发送数据和接收数据的时候就一定会有问题.可是如何判断这个套接字是否还可以使用呢?这个就需要在系统中创建心跳机 ...

  8. C#:只运行一个程序

    一.通过系统事件 1.实现如下: using System; using System.Collections.Generic; using System.Linq; using System.Tex ...

  9. [ios][swift]Swift - 常用文件目录路径获取(Home目录,文档目录,缓存目录等)

    自己写的不一定是最好的! 轮子:http://www.hangge.com/blog/cache/detail_765.html

  10. fastjson和json-lib的区别

    上次把原生json替换成了fastjson,发生很多地方不兼容,对这个也做了一些总结: 1.对于没有赋值的变量处理,json-lib会根据类型给出相应初始值,而fastjson直接忽略这个字段. 解决 ...