What differentiates a stress response from responsiveness in general?
What differentiates a stress response from responsiveness in general?
复制标题
压力反应与一般反应有何不同?
DOI:
10.1016/j.cels.2022.02.002
复制
发表时间:
2022
期刊:
影响因子:
9.3
通讯作者:
Israni-Winger, Kavita
中科院分区:
文献类型:
--
作者:
Vogel, Christine;Balázsi, Gábor;Löwer, Alexander;Jiang, Caifu;Schmid, Amy K.;Sommer, Morten;Yang, Laurence;Münch, Christian;Wang, Andrew;Israni-Winger, Kavita
No one-size-fits-all solution Cellular stressors are abundant and diverse, and they can be acute or chronic and mild or intense. Accordingly, the stress response is complex, involving transcription, RNA stability, translation, protein turnover, and changes in interactions, as well as modifications and re-localization of molecules. Different response types have their specific triggers, regulators, and dynamics, with the common goal of reestablishing cellular health.The resulting lack of a one-size-fits-all solution is a good thing. First, a stress response network, assembled from the entirety of the different pathways and their connections among each other, provides the flexibility to adjust to the type, intensity, and dynamics of the stressor. Second, it allows cellular protection at multiple levels, ie, ensuring the correct abundance and folding of proteins as well as the protection of the genetic material. Third, and importantly, a response network provides robustness: if one pathway fails, other pathways can still provide protection. Robustness is as critical as flexibility and uncertainty, and they are deeply intertwined. The challenge for research is to fully embrace this complexity. For example, in addition to deciphering the details of specific pathways, fully understanding the complexity would require simultaneous analysis of multiple processes over time and for many genes, eg, profiling of translation changes, along with changes in transcript and protein stability. It would require accepting that exceptions are the rule, and that no single pathway will explain everything. And finally, it would require an integration of the resulting multi-dimensional datasets in a way that incorporates the biological relationships between them to extract new insights and to foster a view of the highly integrated stress response as a system that is bigger than the sum of its parts.