Multiscale complexity in the mammalian circadian clock |
| |
Authors: | Yamada Yr Forger Db |
| |
Affiliation: | 1 Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, United States;2 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States |
| |
Abstract: | ![]() The field of systems biology studies how the interactions among individual components (e.g. genes and proteins) yield interesting and complex behavior. The circadian (daily) timekeeping system in mammals is an ideal system to study complexity because of its many biological scales (from genes to animal behavior). A wealth of data at each of these scales has recently been discovered. Within each scale, modeling can advance our understanding of challenging problems that arise in studying mammalian timekeeping. However, future work must focus on bridging the multiple spatial and temporal scales in the modeling of SCN network. Here we review recent advances, and then delve into a few areas that are promising research directions. We also discuss the flavor of modeling needed (simple or detailed) as well as new techniques that are needed to meet the challenges in modeling data across scales. |
| |
Keywords: | |
本文献已被 ScienceDirect PubMed 等数据库收录! |
|