Conditional knockout mice to study alternative splicing in vivo

Analysis of genomes has revealed that the total number of human genes is comparable to those of simpler organisms, and thus, the number of genes does not correlate with the complexity and functional diversity of different organisms. Multiple mechanisms, including alternative splicing, are believed to contribute to the molecular complexity in higher eukaryotes. Given the fact that more than half of human genes undergo alternative splicing, however, little is known about the biological relevance of most alternative splicing events and their regulatory mechanisms. Recent work has highlighted the power of reverse genetic approaches in addressing regulated splicing in animal models. Here, we focus on the conditional knockout approach adapted for splicing research with the intention to provide a general guide to the generation of mouse models to study regulated splicing in development and disease.     

The importance of alternative splicing in the drug discovery process

The publication of the sequence of the human genome revealed that the gene count in humans is much lower than previously estimated. Although textbooks usually place the number at 100,000, it is currently estimated that the human genome contains no more than 30,000 protein-coding genes. How can the great complexity of human life be explained by this number, which is less than twice the number of genes in the primitive worm C. elegans? The answer probably lies in the recent discovery that about half of all human genes undergo alternative splicing. This paper reviews the broad implications of alternative splicing for the drug-discovery process.     

Regulation of mammalian pre-mRNA splicing

In eukaryotes, most protein-coding genes contain introns which are removed by precursor messenger RNA (pre-mRNA) splicing. Alternative splicing is a process by which multiple messenger RNAs (mRNAs) are generated from a single pre-mRNA, resulting in functionally distinct proteins. Recent genome-wide analyses of alternative splicing indicated that in higher eukaryotes alternative splicing is an important mechanism that generates proteomic complexity and regulates gene expression. Mis-regulation of splicing causes a wide range of human diseases. This review describes the current understanding of pre-mRNA splicing and the mechanisms that regulate mammalian pre-mRNA splicing. It also discusses emerging directions in the field of alternative splicing. Supported by the Program of “one Hundred Talented people” of the Chinese Academy of Sciences.     

mRNA选择性剪接的分子机制

真核细胞mRNA前体经过剪接成为成熟的mRNA,而mRNA前体的选择性剪接极大地增加了蛋白质的多样性和基因表达的复杂程度,剪接位点的识别可以以跨越内含子的机制(内含子限定)或跨越外显子的机制(外显子限定)进行。选择性剪接有多种剪接形式：选择不同的剪接位点,选择不同的剪接末端,外显子的不同组合及内含子的剪接与否等。选择性剪接过程受到许多顺式元件和反式因子的调控,并与基本剪接过程紧密联系,剪接体中的一些剪接因子也参与了对选择性剪接的调控。选择性剪接也是1个伴随转录发生的过程,不同的启动子可调控产生不同的剪接产物。mRNA的选择性剪接机制多种多样,已发现RNA编辑和反式剪接也可参与选择性剪接过程。     

ProSplicer: a database of putative alternative splicing information derived from protein,mRNA and expressed sequence tag sequence data

ProSplicer is a database of putative alternative splicing information derived from the alignment of proteins, mRNA sequences and expressed sequence tags (ESTs) against human genomic DNA sequences. Proteins, mRNA and ESTs provide valuable evidence that can reveal splice variants of genes. The alternative splicing information in the database can help users investigate the alternative splicing and tissue-specific expression of genes.     

中华猕猴桃基因组可变剪接事件鉴定及分析

可变剪接使一个基因能产生多种m RNA成熟体,极大地增加蛋白多样性.采用中华猕猴桃基因组数据做参考数据,利用中华猕猴桃叶片和果实3个不同发育时期(未成熟、半成熟和成熟期)的转录组数据,从中华猕猴桃基因组(39040个基因)中共鉴定出11651个基因(占总基因数的29%)对应的32180个可变剪接事件.在可变剪接不同类型中,内含子保留类型的发生频率最高,占50%以上;3′可变位点类型频率约为5′端可变类型的2倍.GO富集分析结果表明,可变剪接的基因主要富集于酶调控及核苷酸结合相关功能的GO类别中,而组织特有可变剪接基因功能富集热点与组织的重要功能关联,叶片多为肌动蛋白及微管相关;未成熟果实与双组分信号系统相关;半成熟果实多与磷脂合成过程相关;成熟果实多与信号传递过程相关.另外,55.6%的维生素合成相关基因发生可变剪接事件,显著高于基因组水平的29.6%,暗示着可变剪接参与维生素合成相关基因代谢过程中的重要作用.通过对中华猕猴桃全基因组可变剪接的分析,为解析中华猕猴桃基因组及进一步开展相关分子育种工作提供依据.     

Alternative splicing: a paradoxical qudo in eukaryotic genomes

One of the most remarkable observations stemming from the sequencing of genomes of diverse species is that the number of protein-coding genes in an organism does not correlate with its overall cellular complexity. Alternative splicing, a key mechanism for generating protein complexity, has been suggested as one of the major explanation for this discrepancy between the number of genes and genome complexity. Determining the extent and importance of alternative splicing required the confluence of critical advances in data acquisition, improved understanding of biological processes and the development of fast and accurate computational analysis tools. Although many model organisms have now been completely sequenced, we are still very far from understanding the exact frequency of alternative splicing from these sequenced genomes.This paper will highlight some recent progress and future challenges for functional genomics and bioinformatics in this rapidly developing area.