@inbook{83e4f7ed35c749ffa4d7bf14ab12f619,
title = "Study quiescence heterogeneity by coupling single-cell measurements and computer modeling",
abstract = "Single-cell measurements combined with mathematical modeling and computer simulations are powerful tools for understanding and exploring dynamical behaviors of gene networks and cellular functions that they control. Here, we describe experimental and computational methods to study cellular quiescence and its heterogeneity at the single-cell level.",
keywords = "Cell cycle, Click-iT EdU assay, DNA content, Deterministic simulation, Fluorescent protein reporter, Heterogeneity, Ordinary differential equation (ODE), Quiescence, Stochastic simulation",
author = "Kwon, {Jungeun Sarah} and Xia Wang and Guang Yao",
note = "Funding Information: This work was supported by grants from the NSF (DMS-1463137 and DMS-1418172, to G.Y.), NIH (GM-084905, a T32 fellowship to J.S.K) and the NSF of China and Anhui Province (Grant No. 31500676 and 1508085SQC202, to X.W.). Publisher Copyright: {\textcopyright} 2018, Springer Science+Business Media LLC.",
year = "2018",
doi = "10.1007/978-1-4939-7371-2_20",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "287--299",
booktitle = "Methods in Molecular Biology",
}