Single-RNA counting reveals alternative modes of gene expression in yeast.

Single-RNA counting reveals alternative modes of gene expression in yeast.
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DOI:
10.1038/nsmb.1514
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发表时间:
2008-12
影响因子:
16.8
通讯作者:
--
中科院分区:
生物学1区
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--
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转录程序的正确执行是基因表达调控的关键要求,这需要对时间和幅度进行精确控制。转录机制究竟如何精确地完成这项任务尚不清楚。我们利用一种能够检测单个mRNA分子的原位杂交方法,测量了单个酿酒酵母细胞内的mRNA丰度和转录活性。我们发现特定基因的表达水平比最初报道的要高,并且在细胞之间可能存在很大差异。然而,大多数组成型表达基因的变异性出乎意料地小。将单转录本测量与计算模型相结合表明,低表达变异是通过在时间上明显分开的单个转录起始事件来转录基因实现的,而非通过转录爆发。相比之下,受转录共激活因子复合物SAGA调控的基因PDR5是通过转录爆发来表达的,从而导致更大的变异。这些数据直接证明了用于调节转录组的多种表达模式的存在。
Proper execution of transcriptional programs is a key requirement of gene expression regulation, demanding accurate control of timing and amplitude. How precisely the transcription machinery fulfills this task is not known. Using an in situ hybridization approach that detects single mRNA molecules, we measured mRNA abundance and transcriptional activity within single Saccharomyces cerevisiae cells. We found that expression levels for particular genes are higher than initially reported and can vary substantially among cells. However, variability for most constitutively expressed genes is unexpectedly small. Combining single-transcript measurements with computational modeling indicates that low expression variation is achieved by transcribing genes using single transcription-initiation events that are clearly separated in time, rather than by transcriptional bursts. In contrast, PDR5, a gene regulated by the transcription coactivator complex SAGA, is expressed using transcription bursts, resulting in larger variation. These data directly demonstrate the existence of multiple expression modes used to modulate the transcriptome.
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发表时间: 2008-01-25
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