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The era of 'omics unlimited

机译:组学无限的时代

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摘要

Determining the primary sequences of informational macromolecules is no longer a limiting factor for our ability to completely understand the biological functioning of cells and organisms. Similarly, our understanding of transcriptional regulation (transcriptomics) has been greatly enhanced by the availability of microarrays. Our next hurdle is to learn the biochemical functions of all the gene products (proteomics) and the totality of all the interactions among them (interactomics). Using traditional biochemical methods, this will take a very long time. More efficient methods are needed to address these questions, or at least to suggest possible candidates for further testing. High-resolution imaging using molecule-specific tags will reveal details of cellular architecture that are expected to provide additional insights and clues about the interactions and functions of many gene products. Computer modeling of macromolecular structures and functional systems will be of key importance. We present here a brief historical and futuristic perspective of genomics and some of its other 'omics offshoots in the post-genomic era.
机译:确定信息大分子的主要序列不再是我们完全了解细胞和生物体生物学功能的限制因素。同样,微阵列的可用性大大增强了我们对转录调控(转录组学)的理解。我们的下一个障碍是学习所有基因产物的生物化学功能(蛋白质组学)以及它们之间所有相互作用的总和(相互作用组学)。使用传统的生化方法,这将花费很长时间。需要更有效的方法来解决这些问题,或者至少建议可能的候选者进行进一步的测试。使用分子特异性标签的高分辨率成像将揭示细胞结构的细节,这些细节有望提供有关许多基因产物相互作用和功能的更多见解和线索。高分子结构和功能系统的计算机建模将至关重要。在这里,我们简要介绍了基因组学及其后基因组时代其他一些“组学”分支的历史和未来派观点。

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