Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
PLoS Comput Biol. 2021 Mar 9;17(3):e1008772. doi: 10.1371/journal.pcbi.1008772. eCollection 2021 Mar.
Transcriptional bursts render substantial biological noise in cellular transcriptomes. Here, we investigated the theoretical extent of allelic expression resulting from transcriptional bursting and how it compared to the amount biallelic, monoallelic and allele-biased expression observed in single-cell RNA-sequencing (scRNA-seq) data. We found that transcriptional bursting can explain the allelic expression patterns observed in single cells, including the frequent observations of autosomal monoallelic gene expression. Importantly, we identified that the burst frequency largely determined the fraction of cells with monoallelic expression, whereas the burst size had little effect on monoallelic observations. The high consistency between the bursting model predictions and scRNA-seq observations made it possible to assess the heterogeneity of a group of cells as their deviation in allelic observations from the expected. Finally, both burst frequency and size contributed to allelic imbalance observations and reinforced that studies of allelic imbalance can be confounded from the inherent noise in transcriptional bursting. Altogether, we demonstrate that allele-level transcriptional bursting renders widespread, although predictable, amounts of monoallelic and biallelic expression in single cells and cell populations.
转录爆发在细胞转录组中产生大量的生物噪声。在这里,我们研究了转录爆发导致的等位基因表达的理论程度,以及它与单细胞 RNA 测序 (scRNA-seq) 数据中观察到的双等位基因、单等位基因和等位基因偏向表达的数量相比如何。我们发现,转录爆发可以解释单细胞中观察到的等位基因表达模式,包括常观察到的常染色体单等位基因表达。重要的是,我们确定了爆发频率在很大程度上决定了具有单等位基因表达的细胞比例,而爆发大小对单等位基因观察的影响很小。爆发模型预测与 scRNA-seq 观察之间的高度一致性使得可以评估一组细胞的异质性,因为它们的等位基因观察值与预期值的偏差。最后,爆发频率和大小都导致了等位基因失衡的观察结果,并强化了等位基因失衡的研究可能受到转录爆发固有噪声的干扰。总之,我们证明了等位基因水平的转录爆发在单细胞和细胞群体中产生广泛但可预测的单等位基因和双等位基因表达。