生物
表观遗传学
转录组
抄写(语言学)
计算生物学
遗传学
人类基因组
染色质
核糖核酸
基因
转录因子
表型
基因组
基因表达
语言学
哲学
作者
Claire Chung,Bert M. Verheijen,Xinmin Zhang,Biao Huang,Aeowynn J. Coakley,Eric McGann,E. Wade,Olivia Dinep-Schneider,J. LaGosh,Maria‐Eleni Anagnostou,Stephen Simpson,Kelly Thomas,Mimi Ernst,Allison Rattray,Michael Lynch,Mikhail Kashlev,Bérénice A. Benayoun,Zhongwei Li,Jeffrey N. Strathern,Jean-François Goût
标识
DOI:10.1073/pnas.2210038120
摘要
To determine the error rate of transcription in human cells, we analyzed the transcriptome of H1 human embryonic stem cells with a circle-sequencing approach that allows for high-fidelity sequencing of the transcriptome. These experiments identified approximately 100,000 errors distributed over every major RNA species in human cells. Our results indicate that different RNA species display different error rates, suggesting that human cells prioritize the fidelity of some RNAs over others. Cross-referencing the errors that we detected with various genetic and epigenetic features of the human genome revealed that the in vivo error rate in human cells changes along the length of a transcript and is further modified by genetic context, repetitive elements, epigenetic markers, and the speed of transcription. Our experiments further suggest that BRCA1, a DNA repair protein implicated in breast cancer, has a previously unknown role in the suppression of transcription errors. Finally, we analyzed the distribution of transcription errors in multiple tissues of a new mouse model and found that they occur preferentially in neurons, compared to other cell types. These observations lend additional weight to the idea that transcription errors play a key role in the progression of various neurological disorders, including Alzheimer's disease.
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