Promoters adopt distinct dynamic manifestations depending on transcription factor context.
Promoters adopt distinct dynamic manifestations depending on transcription factor context.
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启动子采用不同的动态表现取决于转录因子的上下文。
DOI:
10.15252/msb.20209821
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发表时间:
2021-03
影响因子:
9.9
通讯作者:
Zechner C
中科院分区:
文献类型:
--
作者:
Hansen AS;Zechner C
Cells respond to external signals and stresses by activating transcription factors (TF), which induce gene expression changes. Prior work suggests that signal‐specific gene expression changes are partly achieved because different gene promoters exhibit distinct induction dynamics in response to the same TF input signal. Here, using high‐throughput quantitative single‐cell measurements and a novel statistical method, we systematically analyzed transcriptional responses to a large number of dynamic TF inputs. In particular, we quantified the scaling behavior among different transcriptional features extracted from the measured trajectories such as the gene activation delay or duration of promoter activity. Surprisingly, we found that even the same gene promoter can exhibit qualitatively distinct induction and scaling behaviors when exposed to different dynamic TF contexts. While it was previously known that promoters fall into distinct classes, here we show that the same promoter can switch between different classes depending on context. Thus, promoters can adopt context‐dependent “manifestations”. Our analysis suggests that the full complexity of signal processing by genetic circuits may be significantly underestimated when studied in only specific contexts. Gene promoters can be classified into distinct classes. Here we show that a single gene promoter can switch between different promoter classes depending on transcription factor context.
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影响因子:
21.3
作者:
Stavreva DA;Wiench M;John S;Conway-Campbell BL;McKenna MA;Pooley JR;Johnson TA;Voss TC;Lightman SL;Hager GL
通讯作者:
Hager GL
影响因子:
2.2
作者:
Doucet, A;Godsill, S;Andrieu, C
通讯作者:
Andrieu, C
影响因子:
56.9
作者:
Suter, David M.;Molina, Nacho;Naef, Felix
通讯作者:
Naef, Felix
DOI:
10.1038/s41580-018-0028-8
发表时间:
2018-10
期刊:
Nature reviews. Molecular cell biology
影响因子:
--
作者:
Haberle V;Stark A
通讯作者:
Stark A
影响因子:
8.8
作者:
Hansen, Anders S.;O'Shea, Erin K.
通讯作者:
O'Shea, Erin K.