Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA; Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.
Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA; Protego Biopharma, 3210 Merryfield Row, San Diego, CA 92121, USA.
Curr Opin Neurobiol. 2020 Aug;63:170-175. doi: 10.1016/j.conb.2020.05.001. Epub 2020 Jun 17.
The increasing sophistication of gene expression technologies has given rise to the idea that aging could be understood by analyzing transcriptomes. Mapping trajectories of gene expression changes in aging organisms, across different tissues and brain regions has provided insights on how biological functions change with age. However, recent publications suggest that transcriptional regulation itself deteriorates with age. Loss of transcriptional regulation will lead to non-regulated gene expression changes, but current analysis strategies were not designed to disentangle mixtures of regulated and non-regulated changes. Disentangling transcriptional data to distinguish adaptive, regulatory changes, from those that are the consequence of the age-associated deterioration is likely to create an analytical challenge but promises to unlock yet poorly understood aspects of many age-associated transcriptomes.
基因表达技术的日益复杂使得人们产生了这样一种想法，即通过分析转录组可以理解衰老。在不同组织和大脑区域的衰老生物体中绘制基因表达变化的轨迹，为我们了解生物功能随年龄变化的方式提供了线索。然而，最近的一些出版物表明，转录调控本身也会随着年龄的增长而恶化。转录调控的丧失将导致非调控基因表达的变化，但目前的分析策略并不是专门用来区分受调控和不受调控变化的混合物。将转录数据进行分解，以区分适应性的、调节性的变化，以及那些是与年龄相关的恶化的结果，这可能是一个分析上的挑战，但有望揭示许多与年龄相关的转录组中尚未被充分理解的方面。
