The fidelity of transcription in human cells.
Claire ChungBert M VerheijenXinmin ZhangBiao HuangAeowynn CoakleyEric McGannEmily WadeOlivia Dinep-SchneiderJessica LaGoshMaria-Eleni AnagnostouStephen SimpsonW Kelley ThomasMimi ErnstAllison RattrayMichael LynchMikhail KashlevBerenice A BenayounZhongwei LiJeffrey StrathernJean-Francois GoutMarc VermulstPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
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.
Keyphrases
- single cell
- transcription factor
- dna repair
- genome wide
- rna seq
- gene expression
- patient safety
- endothelial cells
- dna methylation
- mouse model
- adverse drug
- embryonic stem cells
- spinal cord
- induced pluripotent stem cells
- physical activity
- emergency department
- stem cells
- cognitive decline
- small molecule
- copy number
- cell therapy
- body mass index
- pluripotent stem cells
- weight gain
- dna damage response
- electronic health record
- breast cancer risk