MicroRNA-Based Detection of Barriers to Melanoma Progression

基于 MicroRNA 的黑色素瘤进展障碍检测

• 批准号: 9349379
• 负责人: Robert Laird Judson-Torres
• 金额: $ 39.63万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-12 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9349379
• 关键词: Address; Alpha Cell; Apoptosis; Artificial skin; Automobile Driving; BRAF gene; Biological Assay; Cancer Biology; Cancerous; Cell Cycle Regulation; Cell Line; Cell Proliferation; Cell Therapy; Cells; Collaborations; Complex; Detection; Development; Disease; Dissection; Event; Failure; Future; Gene Combinations; Gene Targeting; Genes; Genetic; Genetic Transcription; Genome; Genomics; Goals; Growth; Heterogeneity; Human; Human Cell Line; Individual; Knowledge; Lead; Lesion; Life; Location; Malignant Neoplasms; Mammalian Cell; Mammals; Measures; Melanoma Cell; Messenger RNA; Metabolism; Methods; MicroRNAs; Modeling; Molecular; Molecular Profiling; Morphology; Mus; Mutation; Neoplasm Metastasis; Normal Cell; Organism; Patients; Phenotype; Phylogenetic Analysis; Physiological; Physiology; Population; Population Analysis; Population Heterogeneity; Primary Lesion; Property; Proteins; Regulation; Reporting; Research; Research Project Grants; Sampling; Series; Signal Transduction; Skin; Stimulus; Structure; System; Techniques; Technology; Testing; Time; Translations; Tumor stage; Work; accurate diagnosis; actionable mutation; advanced disease; base; cell type; experimental study; genome-wide; human disease; improved; inhibitor/antagonist; insight; mRNA Differential Displays; mRNA Stability; melanocyte; melanoma; neoplastic cell; novel; novel strategies; personalized medicine; prevent; programs; public health relevance; reconstitution; senescence; therapy resistant; tool; tumor; tumor progression; tumorigenesis

DESCRIPTION (provided by applicant): An extraordinary aspect of complex multicellular organisms, such as mammals, is the diversity of different types of cells that arise from the same genome. Each type of cell, or cell state, differs drastically in morphology, function, and physiology and must be carefully regulated during both the development and the daily life of the organism. This includes both tight control of cell state transitions and the stabilization of cell states against external stimuli and internal disturbances, including genomic mutations. Underlying specific cell states are networks of expressed genes. Although it is now commonplace to measure the expression of every gene within a population of cells with a single experiment, little is known about how the individual genes within a large network function together. This is especially true in complex human diseases, such as cancer, where the population of cells from a single tumor can contain many different cell states. The objective of this project is to both identify and to functionally dissect networks of interacting genes that stabilize melanocytes and early- stage melanomas against transitions into more advanced disease states. The central approach is microRNA- based detection of functional gene networks. MicroRNAs (miRNAs) are transcribed from the genome but do not encode for proteins, rather regulating the translation and stability of mRNA networks. It has recently been shown that miRNAs serve as excellent tools for identifying networks of genes that regulate cell state transitions. These co-regulated networks of genes are enriched for genetic interactions, which can be identified using mapping techniques recently adapted for mammalian cells from their previous extensive use in single cell organisms. In the first aim of this application, these methods will be used to investigate the relationship between different melanoma driver mutations (those changes to the genome that initiate melanoma progression) and the networks of genes that stabilize against further progression, testing the hypothesis that different initiatig events result in distinct multigenic barriers to tumorigenesis. MiRNAs known to advance melanoma will be introduced into a panel of mouse melanocytes with different driver mutations. When progression is induced, the network of genes targeted by the miRNA will be experimentally determined and their individual function and genetic interactions investigated. In the second aim, the miRNA-targeted networks that correlate with human melanoma progression in both expression and function will be tested using primary patient samples and reconstituted skin culture. In the third aim, populations of tumor cells will be analyzed on the single cell leve. Each cell will be assayed for its ability to progress or to transition into a therapy-resistant cel state, and the miRNA profiles associated with each transition will be measured. Collectively, these approaches will improve our knowledge of the networks of genes that work together to prevent melanoma progression, increasing our potential to conduct meaningful personalized therapies for this deadly disease.

描述（由申请人提供）：复杂的多细胞生物（如哺乳动物）的一个非凡方面是来自相同基因组的不同类型细胞的多样性。每种类型的细胞或细胞状态在形态、功能和生理上都有很大的不同，必须在生物体的发育和日常生活中加以仔细调节。这包括对细胞状态转换的严格控制和对外部刺激和内部干扰（包括基因组突变）的细胞状态稳定。潜在的特定细胞状态是表达基因的网络。尽管现在通过一次实验测量细胞群中每个基因的表达已经很普遍了，但对于一个大网络中的单个基因是如何共同起作用的，我们知之甚少。在复杂的人类疾病中尤其如此，例如癌症，其中来自单个肿瘤的细胞群可能包含许多不同的细胞状态。该项目的目的是确定和功能解剖相互作用的基因网络，稳定黑色素细胞和早期黑色素瘤，防止过渡到更晚期的疾病状态。核心方法是基于microRNA的功能基因网络检测。MicroRNAs （miRNAs）是从基因组转录而来，但不编码蛋白质，而是调节mRNA网络的翻译和稳定性。最近有研究表明，mirna是识别调节细胞状态转变的基因网络的优秀工具。这些共同调控的基因网络丰富了遗传相互作用，可以使用最近适应于哺乳动物细胞的制图技术来识别，而这些技术以前广泛用于单细胞生物。在本应用程序的第一个目的中，这些方法将用于研究不同黑色素瘤驱动突变（启动黑色素瘤进展的基因组变化）与稳定防止进一步进展的基因网络之间的关系，验证不同的启动事件导致不同的肿瘤发生多基因障碍的假设。已知能促进黑色素瘤的mirna将被引入一组具有不同驱动突变的小鼠黑色素细胞中。当诱导进展时，将通过实验确定miRNA靶向的基因网络，并研究它们的个体功能和遗传相互作用。在第二个目标中，mirna靶向网络与人类黑色素瘤的表达和功能进展相关，将使用原发性患者样本和重建皮肤培养进行测试。在第三个目标中，肿瘤细胞群将在单细胞水平上进行分析。每个细胞都将被检测其进展或转变为耐药细胞状态的能力，并测量与每次转变相关的miRNA谱。总的来说，这些方法将提高我们对共同预防黑色素瘤进展的基因网络的认识，增加我们对这种致命疾病进行有意义的个性化治疗的潜力。