Exon recognition during constitutive pre-mRNA splicing

组成型前 mRNA 剪接期间的外显子识别

• 批准号: 8141913
• 负责人: Lawrence Allen Chasin
• 金额: $ 14.23万
• 依托单位: COLUMBIA UNIV NEW YORK MORNINGSIDE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8141913
• 关键词: Affect; Cells; Chemistry; Chromatin Structure; Code; Collection; Communication; Computational Biology; DNA; Dependence; Elements; Enhancers; Event; Exhibits; Exons; Genes; Genetic; Genetic Transcription; Genetic Translation; Hereditary Disease; Human; Human Genetics; Human Genome; Introns; Knowledge; Learning; Life; Malignant Neoplasms; Measures; Messenger RNA; Methods; Molecular; Molecular Genetics; Mutagenesis; Nature; Nucleotides; Pattern; Play; Positioning Attribute; Process; Promoter Regions; Property; Protein Binding; Proteins; RNA; RNA Polymerase II; RNA Splicing; Reaction; Regulator Genes; Regulatory Element; Relative (related person); Role; Signal Transduction; Site; Surveys; System; Testing; Therapeutic Uses; Transcript; Transcriptional Silencer Elements; Translating; Work; cancer cell; cell type; density; design; genome sequencing; graduate student; mRNA Precursor; prevent; public health relevance; research study; response; tumor

DESCRIPTION (provided by applicant): The expression of the genetic information inherent in our DNA includes 4 basic processes: 1) transcription into RNA, 2) splicing together the fragments of information in this RNA into messenger RNA, or mRNA ; 3) translation of the mRNA into proteins; 4) modifying the proteins to make them effective. This proposal focuses on the second process, pre-mRNA splicing. Although the chemistry of the splicing reaction is fairly well understood, it is not yet clear as how the cell recognizes the demarcation of the few relatively short regions of the pre-mRNA that code for protein (the exons, ~100 nucleotides (nt) long, ~10 per transcript) within a long (~20,000 nt) pre-mRNA molecule. The splice sites themselves are comprised of sequences with specific features. For example, each spliced out region (the intron) almost always starts with a GT and ends with an AG sequence. However, the splice site sequences are not distinctive enough to provide an unambiguous mark. We will pursue 4 approaches with the aim of deciphering the "splicing code," i.e., the sequence elements and rules that allow recognition of splice sites lying within the sequence of the pre-mRNA or DNA: 1) We will add all possible sequences of 6 nt (4096) into a weakened exon to define the complete list of those that can enhance splicing. By repeating this experiments and comparing the sequences found after altering the exon in various ways, we will learn how different parts of the overall sequence interact to create a signal. These experiments exploit recently developed methods for massive sequencing of short regions of DNA. 2) We have found that limited intronic regions just outside the exon can play powerful roles in splice site recognition but little is known about the general nature or action of these sequences. We will investigate the effect of the position and protein-binding properties of these intronic enhancers on splicing and on chromatin structure. Our use of a cellular gene for this purpose is an improvement over less natural test systems currently in use. 3) It now appears that the density of signals influencing splicing is very high, so that any manipulation of a natural sequence is likely to change more than one signal at once. To minimize this effect we will build synthetic exons designed using insulated modules of known effect (enhancers and silencers of splicing). By placing these modules in various permutations, we will learn the rules governing their interactions. 4) Statistical analysis of the human genome sequence has allowed the successful prediction of exonic enhancers and silencers. We will extend such computational approaches to search for intronic and exonic signals that cooperate to enhance splicing and that may act to silence false splice sites. Many human genetic diseases are caused by splicing deficiencies and cancer cells often exhibit abnormal splicing patterns. A knowledge of the splicing code will enable this process to be targeted for therapeutic use, such as correcting a deficiency in a genetic disease, or disrupting a harmful splicing event in a tumor. PUBLIC HEALTH RELEVANCE: Human genes control our lives by having their information translated into the proteins that operate our cells. That genetic information is present as fragments that must be spliced together to make any sense, and disruption of the splicing process causes many genetic diseases and can contribute to cancer. Our proposal is aimed at understanding how this splicing takes place.

描述（由申请人提供）：我们DNA中固有的遗传信息的表达包括4个基本过程：1）转录成RNA，2）将该RNA中的信息片段拼接在一起成为信使RNA或mRNA； 3) 将mRNA翻译成蛋白质； 4) 修饰蛋白质使其有效。该提案重点关注第二个过程，即前 mRNA 剪接。尽管剪接反应的化学原理已被很好地理解，但尚不清楚细胞如何识别长（约 20,000 nt）前 mRNA 分子中编码蛋白质的前 mRNA 中几个相对较短的区域（外显子，长约 100 个核苷酸 (nt)，每个转录本约 10 个）。剪接位点本身由具有特定特征的序列组成。例如，每个剪接区域（内含子）几乎总是以 GT 开头并以 AG 序列结束。然而，剪接位点序列的独特性不足以提供明确的标记。我们将采用 4 种方法来破译“剪接密码”，即允许识别位于前 mRNA 或 DNA 序列内的剪接位点的序列元素和规则： 1) 我们将把所有可能的 6 nt (4096) 序列添加到弱化外显子中，以定义可以增强剪接的完整列表。通过重复这个实验并比较以各种方式改变外显子后发现的序列，我们将了解整个序列的不同部分如何相互作用以产生信号。这些实验利用了最近开发的方法对 DNA 短区域进行大规模测序。 2）我们发现外显子外部的有限内含子区域可以在剪接位点识别中发挥强大的作用，但对这些序列的一般性质或作用知之甚少。我们将研究这些内含子增强子的位置和蛋白质结合特性对剪接和染色质结构的影响。我们为此目的使用细胞基因是对目前使用的不太自然的测试系统的改进。 3) 现在看来，影响剪接的信号密度非常高，因此对自然序列的任何操作都可能同时改变多个信号。为了最大限度地减少这种影响，我们将构建使用已知效应的绝缘模块（剪接增强子和沉默子）设计的合成外显子。通过将这些模块进行各种排列，我们将学习管理它们交互的规则。 4）人类基因组序列的统计分析使得外显子增强子和沉默子的成功预测成为可能。我们将扩展这种计算方法来搜索内含子和外显子信号，这些信号协同增强剪接并可能起到沉默错误剪接位点的作用。许多人类遗传疾病是由剪接缺陷引起的，癌细胞常常表现出异常的剪接模式。了解剪接代码将使该过程能够用于治疗用途，例如纠正遗传疾病的缺陷，或破坏肿瘤中有害的剪接事件。 公共卫生相关性： 人类基因通过将其信息转化为操作我们细胞的蛋白质来控制我们的生活。遗传信息以片段形式存在，必须将其拼接在一起才能有意义，而拼接过程的破坏会导致许多遗传疾病，并可能导致癌症。我们的建议旨在了解这种剪接是如何发生的。