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Uncoupling gene expression noise along the central dogma using genome engineered human cell lines

机译:利用基因组工程的人细胞系沿中央教条的沿中央教条脱模噪声

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Eukaryotic protein synthesis is an inherently stochastic process. This stochasticity stems not only from variations in cell content between cells but also from thermodynamic fluctuations in a single cell. Ultimately, these inherently stochastic processes manifest as noise in gene expression, where even genetically identical cells in the same environment exhibit variation in their protein abundances. In order to elucidate the underlying sources that contribute to gene expression noise, we quantify the contribution of each step within the process of protein synthesis along the central dogma. We uncouple gene expression at the transcriptional, translational, and post-translational level using custom engineered circuits stably integrated in human cells using CRISPR. We provide a generalized framework to approximate intrinsic and extrinsic noise in a population of cells expressing an unbalanced two-reporter system. Our decomposition shows that the majority of intrinsic fluctuations stem from transcription and that coupling the two genes along the central dogma forces the fluctuations to propagate and accumulate along the same path, resulting in increased observed global correlation between the products.
机译:真核蛋白质合成是一种本质上随机过程。该随机性不仅源于细胞之间的细胞含量的变化,而且源于单个细胞中的热力学波动。最终,这些固有的随机过程表现为基因表达中的噪声,在相同环境中甚至遗传相同的细胞表现出它们的蛋白质丰度的变化。为了阐明有助于基因表达噪声的潜在来源,我们量化每一步在沿中央教条蛋白质合成过程中的贡献。我们使用CRISPR稳定地整合在人体细胞中的转录,平移和翻译后的转录,平移和翻译后的基因表达。我们提供了一种以表达不平衡的两节目体系的细胞群中的内在和外在噪声来提供一般性的框架。我们的分解表明,大多数内在波动源于转录,并且沿中央教条耦合两个基因迫使波动沿着相同的路径繁殖并积累,导致产品之间观察到的全局相关性增加。

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