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From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards

机译:从功能基因组学到功能免疫学:新挑战,旧问题,大回报

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The development of DNA microarray technology a decade ago led to the establishment of functional genomics as one of the most active and successful scientific disciplines today. With the ongoing development of immunomic microarray technology—a spatially addressable, large-scale technology for measurement of specific immunological response—the new challenge of functional immunomics is emerging, which bears similarities to but is also significantly different from functional genomics. Immunonic data has been successfully used to identify biological markers involved in autoimmune diseases, allergies, viral infections such as human immunodeficiency virus (HIV), influenza, diabetes, and responses to cancer vaccines. This review intends to provide a coherent vision of this nascent scientific field, and speculate on future research directions. We discuss at some length issues such as epitope prediction, immunomic microarray technology and its applications, and computation and statistical challenges related to functional immunomics. Based on the recent discovery of regulation mechanisms in T cell responses, we envision the use of immunomic microarrays as a tool for advances in systems biology of cellular immune responses, by means of immunomic regulatory network models.
机译:十年前,DNA微阵列技术的发展导致功能基因组学的建立成为当今最活跃,最成功的科学学科之一。随着免疫学微阵列技术(一种可在空间上寻址的,用于测量特定免疫反应的大规模技术)的不断发展,功能免疫学的新挑战正在出现,它与功能基因组学具有相似之处,但又有很大不同。免疫数据已成功用于鉴定涉及自身免疫性疾病,过敏,病毒感染(例如人类免疫缺陷病毒(HIV),流感,糖尿病和对癌症疫苗的反应)的生物学标记。这篇综述旨在为这个新兴科学领域提供一个连贯的愿景,并推测未来的研究方向。我们在一定程度上讨论了诸如表位预测,免疫学微阵列技术及其应用以及与功能性免疫学有关的计算和统计挑战等问题。基于最近在T细胞反应中调节机制的发现,我们设想通过免疫调节网络模型,将免疫学微阵列用作细胞免疫反应系统生物学进展的工具。

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