Published February 2017 | Version Accepted Version + Published
Journal Article Open

Cross-hierarchy systems principles

  • 1. ROR icon California Institute of Technology

Abstract

One driving motivation of systems biology is the search for general principles that govern the design of biological systems. But questions often arise as to what kind of general principles biology could have. Concepts from engineering such as robustness and modularity are indeed becoming a regular way of describing biological systems. Another source of potential general principles is the emerging similarities found in processes across biological hierarchies. In this piece, I describe several emerging cross-hierarchy similarities. Identification of more cross-hierarchy principles, and understanding the implications these convergence have on the construction of biological systems, I believe, present exciting challenges for systems biology in the decades to come.

Additional Information

© 2017 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Available online 14 December 2016. This review comes from a themed issue on Future of systems biology; Edited by Arnold Levine. The author thanks John Doyle for discussions on Donella Meadows and systems thinking, Marc Kirschner for discussions over the years on conserved core processes, Uri Alon on discussions on part-whole hierarchy, Michael Elowitz for discussions on general biological designs, and students of Bi192 at Caltech who helped shape the ideas presented here with their questions and curiosities. The author is grateful for the support from the NIH New Innovator Award (DP2OD008471), NSF Career Award (NSF.1453863), and the James S. McDonnell Foundation for Complex Systems Science (220020365).

Attached Files

Published - 1-s2.0-S2452310016300269-main.pdf

Accepted Version - nihms861401.pdf

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Additional details

Identifiers

PMCID
PMC5624732
Eprint ID
78858
Resolver ID
CaltechAUTHORS:20170707-125027565

Funding

NIH
DP2OD008471
NSF
MCB-1453863
James S. McDonnell Foundation
220020365

Dates

Created
2017-07-07
Created from EPrint's datestamp field
Updated
2022-04-06
Created from EPrint's last_modified field