BIOINFORMATICS OF 3 PRIME-UTR-BASED POST-TRANSCRIPTIONAL REGULATORY ELEMENTS

3 个基于 PRIME-UTR 的转录后调控元件的生物信息学

• 批准号: 7381437
• 负责人: JOEL H GRABER
• 金额: $ 14.73万
• 依托单位: MOUNT DESERT ISLAND BIOLOGICAL LAB
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7381437
• 关键词: BIOINFORMATICS; PRIME; UTR; BASED; POST

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Our work is focused on the development and use of computational tools to further our understanding of gene regulation, with an emphasis on the identification and characterization of the regulatory sequences that control post-transcriptional gene regulation. Post-transcriptional regulatory sequences are typically embedded within the sequence of the precursor mRNA, therefore our analysis is largely based on studies of expressed sequences, including, but not limited to, expressed sequence tags (ESTs) and indexing schemes, such as SAGE or MPSS. We are particularly interested in the delineation of evolutionarily conserved sequences that can be tested for functionality in the model systems utilized by our experimental collaborators. The principal efforts in my group are related to the continued improvement and collection of data for our integrated set of sequence analysis databases: pacdb, seqgen, and estdb. Together these databases represent and make useable our genome-based analysis of expressed sequences, for the identification of functional features, specifically focusing on identification of mRNA 3'-processing sites (Brockman et al, 2005).

该子项目是利用 NIH/NCRR 资助的中心拨款提供的资源的众多研究子项目之一。子项目和研究者 (PI) 可能已从另一个 NIH 来源获得主要资金，因此可以在其他 CRISP 条目中得到体现。列出的机构是中心的机构，不一定是研究者的机构。我们的工作重点是开发和使用计算工具来进一步了解基因调控，重点是控制转录后基因调控的调控序列的识别和表征。转录后调控序列通常嵌入前体 mRNA 的序列中，因此我们的分析主要基于表达序列的研究，包括但不限于表达序列标签 (EST) 和索引方案，例如 SAGE 或 MPSS。我们对进化保守序列的描述特别感兴趣，这些序列可以在我们的实验合作者使用的模型系统中测试其功能。我的团队的主要工作是持续改进和收集我们集成的序列分析数据库集的数据：pacdb、seqgen 和 estdb。这些数据库共同代表并使得我们基于基因组的表达序列分析可用，用于功能特征的识别，特别侧重于 mRNA 3' 加工位点的识别（Brockman 等人，2005）。