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Synthetic incoherent feedforward circuits show adaptation to the amount of their genetic template

机译:合成的非相干前馈电路适应其遗传模板的数量

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摘要

Natural and synthetic biological networks must function reliably in the face of fluctuating stoichiometry of their molecular components. These fluctuations are caused in part by changes in relative expression efficiency and the DNA template amount of the network-coding genes. Gene product levels could potentially be decoupled from these changes via built-in adaptation mechanisms, thereby boosting network reliability. Here, we show that a mechanism based on an incoherent feedforward motif enables adaptive gene expression in mammalian cells. We modeled, synthesized, and tested transcriptional and post-transcriptional incoherent loops and found that in all cases the gene product adapts to changes in DNA template abundance. We also observed that the post-transcriptional form results in superior adaptation behavior, higher absolute expression levels, and lower intrinsic fluctuations. Our results support a previously hypothesized endogenous role in gene dosage compensation for such motifs and suggest that their incorporation in synthetic networks will improve their robustness and reliability.
机译:天然和合成生物网络在面对其分子组成的化学计量变化时必须可靠地发挥作用。这些波动部分是由于相对表达效率和网络编码基因的DNA模板数量的变化引起的。基因产物水平可以通过内置的适应机制与这些变化脱钩,从而提高网络可靠性。在这里,我们表明基于不连贯的前馈基序的机制使哺乳动物细胞中的自适应基因表达成为可能。我们对转录和转录后的非相干环进行了建模,合成和测试,发现在所有情况下,基因产物都适应DNA模板丰度的变化。我们还观察到,转录后形式可导致出色的适应行为,更高的绝对表达水平和更低的内在波动。我们的研究结果支持了先前假设的内源性作用在这些基序的基因剂量补偿中,并表明将它们掺入合成网络将改善其稳健性和可靠性。

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