Biophysical modeling of cis-regulatory complexes in transcription and splicing using massively parallel reporter assays

使用大规模并行报告分析对转录和剪接中的顺式调控复合物进行生物物理建模

• 批准号: 10000956
• 负责人: JUSTIN B. KINNEY
• 金额: $ 48万
• 依托单位: COLD SPRING HARBOR LABORATORY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10000956
• 关键词: Antisense Oligonucleotides; Bacteria; Basic Science; Biological; Biological Assay; Biological Sciences; Biophysics; Bypass; Cells; Complex; DNA; Data; Defect; Environment; Escherichia coli; Exons; Gene Expression; Genetic Transcription; High-Throughput DNA Sequencing; Human; Mathematics; Measures; Messenger RNA; Methods; Modeling; Molecular; Molecular Computers; Molecular Machines; Nucleic Acids; Organism; Pathogenicity; Physics; Proteins; RNA; RNA Splicing; Reporter; Research; Site; System; Therapeutic; Training; Transcriptional Regulation; Work; biological systems; biophysical model; design; direct application; experience; experimental study; genetic regulatory protein; genetic variant; human disease; improved; in vivo; innovation; mathematical model; novel strategies; programs; promoter; protein protein interaction; response; synthetic biology

PROJECT SUMMARY / ABSTRACT Gene expression in all organisms is controlled by large protein-nucleic-acid assemblies called “cis-regulatory complexes.” From transcription in bacteria to mRNA splicing in humans, cis-regulatory complexes act as molecular computers, tuning gene expression in response to information in the cellular environment. A mechanistic understanding of how these complexes function will have a major impact on basic science, synthetic biology, and human disease. This level of understanding requires biophysical models that quantitatively account for the protein-DNA, protein-RNA, and protein-protein interactions that occur within each cis-regulatory complex. Such models have been established for a handful of intensively studied systems, such as the lac promoter of Escherichia coli. However, the experiments used to establish these models require quantitative control over the in vivo concentrations of regulatory proteins, a requirement that is very hard to meet in less-well- understood contexts. In the coming years, my lab will pursue an alternative approach to deciphering biophysical models of cis-regulatory complexes in living cells. This innovative approach is highly scalable and applicable to a wide variety of biological systems. Our experiments will leverage massively parallel reporter assays performed on synthetic regulatory sequences that are designed to probe specific macromolecular interactions. These data will be used to decipher expression manifolds, mathematical objects whose inference bypasses the need to experimentally control in vivo protein concentrations. This program thus combines my training in theoretical physics and my extensive experience using high-throughput DNA sequencing to measure biophysical quantities. To emphasize the full generality of this approach, I am proposing work in two diverse biological contexts: transcriptional regulation in E. coli (Project 1) and alternative mRNA splicing in human cells (Project 2). Project 1a will establish the capabilities and limitations of this approach in a well-understood bacterial system, while Project 1b will extend this approach to bacterial promoters about which little is yet known. Project 2a will develop a biophysical model for the integration of information encoded within 5ʹ and 3ʹ splice sites during exon definition. Project 2b will use biophysical modeling to better understand and guide improvements in antisense oligo treatments that correct splicing defects in human disease. Project 2 is not predicated on Project 1, but the strategies developed in our studies of bacterial transcription will inform and improve our studies of splicing in humans. This research program will thus establish a new approach for dissecting cis-regulatory complexes in a wide range of biological systems. It will also yield specific biophysical models that can be immediately and broadly applied to problems in synthetic biology, to the prediction of pathogenic genetic variants, and to the design of molecular therapeutics.

项目摘要/摘要 在所有生物体中，基因的表达都是由称为“顺式调控”的大的蛋白质-核酸组合体控制的 复合体。“从细菌的转录到人类的信使核糖核酸剪接，顺式调节复合体起着 分子计算机，根据细胞环境中的信息调整基因表达。一个 从机理上理解这些络合物的功能将对基础科学、合成 生物学和人类疾病。这种水平的理解需要生物物理模型在数量上 解释了在每个顺式调控中发生的蛋白质-DNA、蛋白质-RNA和蛋白质-蛋白质相互作用 很复杂。这样的模型已经被建立在少数几个深入研究的系统中，例如lac 大肠杆菌的启动子。然而，用于建立这些模型的实验需要定量 控制体内调节蛋白的浓度，这是一个在不太好的情况下很难满足的要求- 理解上下文。在接下来的几年里，我的实验室将寻求另一种方法来破译生物物理 活细胞中顺式调节复合体的模型。这种创新的方法具有高度的可扩展性，并且适用于 各种各样的生物系统。我们的实验将利用大规模平行的报告分析 在设计用于探测特定大分子相互作用的合成调控序列上执行。 这些数据将被用来破译表达式流形，即其推理绕过的数学对象 通过实验控制体内蛋白质浓度的必要性。因此，这个项目结合了我在 理论物理和我使用高通量DNA测序测量生物物理的丰富经验 数量。为了强调这种方法的全面性，我建议在两个不同的生物学领域开展工作 背景：在大肠杆菌中的转录调控(项目1)和在人类细胞中的选择性mRNA剪接 (项目2)。项目1a将在一种广为人知的细菌中建立这种方法的能力和局限性 而Project 1b将把这种方法扩展到对细菌启动子知之甚少的领域。项目 2a将开发一个生物物理模型，用于整合在5个ʹ和3个ʹ剪接位点中编码的信息 外显子定义。项目2b将使用生物物理建模来更好地理解和指导改进 反义寡核苷酸治疗，纠正人类疾病中的剪接缺陷。项目2不是基于项目的谓词 1，但我们在细菌转录研究中开发的策略将提供信息并改进我们的研究 在人类身上进行拼接。因此，本研究计划将建立一种剖析顺式调控的新方法。 广泛的生物系统中的复合体。它还将产生特定的生物物理模型，可以 直接和广泛地应用于合成生物学中的问题，致病基因变异的预测， 以及分子疗法的设计。