Cellular decision-making bias: the missing ingredient in cell functional diversity

Bradly Alicea
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Abstract

Cell functional diversity is a significant determinant on how biological processes unfold. Most accounts of diversity involve a search for sequence or expression differences. Perhaps there are more subtle mechanisms at work. Using the metaphor of information processing and decision-making might provide a clearer view of these subtleties. Understanding adaptive and transformative processes (such as cellular reprogramming) as a series of simple decisions allows us to use a technique called cellular signal detection theory (cellular SDT) to detect potential bias in mechanisms that favor one outcome over another. We can apply method of detecting cellular reprogramming bias to cellular reprogramming and other complex molecular processes. To demonstrate scope of this method, we will critically examine differences between cell phenotypes reprogrammed to muscle fiber and neuron phenotypes. In cases where the signature of phenotypic bias is cryptic, signatures of genomic bias (pre-existing and induced) may provide an alternative. The examination of these alternates will be explored using data from a series of fibroblast cell lines before cellular reprogramming (pre-existing) and differences between fractions of cellular RNA for individual genes after drug treatment (induced). In conclusion, the usefulness and limitations of this method and associated analogies will be discussed.
细胞决策偏差:细胞功能多样性的缺失成分
细胞功能多样性是生物过程如何展开的重要决定因素。大多数对多样性的解释都涉及对序列或表达差异的搜索。也许还有更微妙的机制在起作用。使用信息处理和决策的比喻可以更清楚地了解这些微妙之处。将适应性和转化过程(如细胞重编程)理解为一系列简单的决策,使我们能够使用一种称为细胞信号检测理论(cellular SDT)的技术来检测有利于一种结果而不是另一种结果的机制中的潜在偏差。我们可以将检测细胞重编程偏差的方法应用于细胞重编程和其他复杂的分子过程。为了证明这种方法的范围,我们将严格检查重新编程为肌纤维和神经元表型的细胞表型之间的差异。在表型偏倚的特征是隐蔽性的情况下,基因组偏倚的特征(预先存在的和诱导的)可能提供另一种选择。我们将利用一系列成纤维细胞系在细胞重编程(预先存在)之前的数据,以及药物治疗(诱导)后单个基因的细胞RNA组分之间的差异,来探索这些替代物的检测。最后,将讨论这种方法的有用性和局限性以及相关的类比。
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