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An important event in many cellular contexts is the crossing of a prescribed threshold by a regulatory protein. The timing of such events is stochastic as a consequence of the innate randomness in gene expression. A question of interest is to understand how gene expression is regulated to achieve precision in event timing. To address this, we model event timing using a first-passage time framework...
Expression of a gene is inherently random, leading to variability in a protein's level across a population of cells with same genetic information and environment. Another consequence of this is the cell-to-cell variability in the time at which a certain protein level is achieved inside individual cells. In this work, we model such times using the first-passage time (FPT) framework. Gene expression...
The timing of cellular events is inherently random because of the probabilistic nature of gene expression. Yet cells manage to have precise timing of important events. Here, we study how gene expression could possibly be regulated to precisely schedule timing of an event around a given time. Event timing is modeled as the first-passage time (FPT) for a protein's level to cross a critical threshold...
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