activity
20122020
most citedScaling laws governing stochastic growth and division of single bacterial cells

262 citations · 397 across the 6 of their papers we have counts for

collaborators

6 papers

physics.bio-ph2020★ 10 cited

Extreme antagonism arising from gene-environment interactions

Thomas P. Wytock, Manjing Zhan, Adrian Jinich +3

Antagonistic interactions in biological systems, which occur when one perturbation blunts the effect of another, are typically interpreted as evidence that the two perturbations im…

q-bio.MN2018★ 37 cited

Experimental evolution of diverse Escherichia coli metabolic mutants identifies genetic loci for convergent adaptation of growth rate

Thomas P. Wytock, Aretha Fiebig, Jonathan W. Willett +4

Cell growth is determined by substrate availability and the cell's metabolic capacity to assimilate substrates into building blocks. Metabolic genes that determine growth rate may…

q-bio.QM2016★ 47 cited

Bridging the time scales of single-cell and population dynamics

Farshid Jafarpour, Charles S. Wright, Herman Gudjonson +7

How are granular details of stochastic growth and division of individual cells reflected in smooth deterministic growth of population numbers? We provide an integrated, multiscale…

q-bio.CB2015★ 29 cited

Intergenerational continuity of cell shape dynamics in Caulobacter crescentus

Charles S. Wright, Shiladitya Banerjee, Srividya Iyer-Biswas +3

We investigate the intergenerational shape dynamics of single Caulobacter crescentus cells using a novel combination of imaging techniques and theoretical modeling. We determine th…

physics.bio-ph2014★ 262 cited

Scaling laws governing stochastic growth and division of single bacterial cells

Srividya Iyer-Biswas, Charles S. Wright, Jonathan T. Henry +7

Uncovering the quantitative laws that govern the growth and division of single cells remains a major challenge. Using a unique combination of technologies that yields unprecedented…

q-bio.MN2012★ 12 cited

Phase resetting reveals network dynamics underlying a bacterial cell cycle

Yihan Lin, Ying Li, Sean Crosson +2

Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modul…