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人类细胞和组织寿命的基因表达特征。

Gene expression signatures of human cell and tissue longevity.

作者信息

Seim Inge, Ma Siming, Gladyshev Vadim N

机构信息

Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

NPJ Aging Mech Dis. 2016 Jul 7;2:16014. doi: 10.1038/npjamd.2016.14. eCollection 2016.

Abstract

Different cell types within the body exhibit substantial variation in the average time they live, ranging from days to the lifetime of the organism. The underlying mechanisms governing the diverse lifespan of different cell types are not well understood. To examine gene expression strategies that support the lifespan of different cell types within the human body, we obtained publicly available RNA-seq data sets and interrogated transcriptomes of 21 somatic cell types and tissues with reported cellular turnover, a estimate of lifespan, ranging from 2 days (monocytes) to a lifetime (neurons). Exceptionally long-lived neurons presented a gene expression profile of reduced protein metabolism, consistent with neuronal survival and similar to expression patterns induced by longevity interventions such as dietary restriction. Across different cell lineages, we identified a gene expression signature of human cell and tissue turnover. In particular, turnover showed a negative correlation with the energetically costly cell cycle and factors supporting genome stability, concomitant risk factors for aging-associated pathologies. In addition, the expression of p53 was negatively correlated with cellular turnover, suggesting that low p53 activity supports the longevity of post-mitotic cells with inherently low risk of developing cancer. Our results demonstrate the utility of comparative approaches in unveiling gene expression differences among cell lineages with diverse cell turnover within the same organism, providing insights into mechanisms that could regulate cell longevity.

摘要

人体内不同细胞类型的平均存活时间差异很大,从几天到生物体的寿命不等。不同细胞类型具有不同寿命的潜在机制尚未完全了解。为了研究支持人体内不同细胞类型寿命的基因表达策略,我们获取了公开可用的RNA测序数据集,并对21种有报告细胞更新情况(这是对寿命的一种估计,范围从2天(单核细胞)到一生(神经元))的体细胞类型和组织的转录组进行了研究。寿命极长的神经元呈现出蛋白质代谢降低的基因表达谱,这与神经元存活一致,并且类似于饮食限制等长寿干预措施诱导的表达模式。在不同细胞谱系中,我们确定了人类细胞和组织更新的基因表达特征。特别是,细胞更新与耗能巨大的细胞周期以及支持基因组稳定性的因素呈负相关,而这些都是与衰老相关病理的伴随风险因素。此外,p53的表达与细胞更新呈负相关,这表明低p53活性支持有内在低癌症发生风险的有丝分裂后细胞的长寿。我们的结果证明了比较方法在揭示同一生物体内具有不同细胞更新的细胞谱系之间基因表达差异方面的实用性,为可能调节细胞寿命的机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bbc/5514998/d43a9e2c3240/npjamd201614-f1.jpg

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