2019
DOI: 10.1016/j.cels.2019.07.009
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Of Gene Expression and Cell Division Time: A Mathematical Framework for Advanced Differential Gene Expression and Data Analysis

Abstract: Highlights d Advanced differential gene expression analysis for populations of dividing cells d Quantitative framework for the integration of multiple omics data d Easy-to-use formulas link single-cell gene expression to population-level data d Application to gene expression data of B cell activation shows a very high hit rate

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Cited by 11 publications
(10 citation statements)
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“… (A) A basic gene expression model with key parameters (adapted from REF. [ 56 , 92 ]). The mRNA is transcribed with rate V sr and degraded with a half-life represented by t r1/2 .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… (A) A basic gene expression model with key parameters (adapted from REF. [ 56 , 92 ]). The mRNA is transcribed with rate V sr and degraded with a half-life represented by t r1/2 .…”
Section: Resultsmentioning
confidence: 99%
“…(C) Mathematical expression of mRNA (Eq 1) and protein abundances (Eq 2) as a function of key gene expression parameters, including cell doubling time T cc , as detailed in REF. [ 92 ]. Rearranging Eq 2 yields the dependency of protein-mRNA abundance ratio on the translation rate constant K sp , cell doubling time T cc , and protein half-life t p1/2 (Eq 3).…”
Section: Resultsmentioning
confidence: 99%
“…Taking the division rate into account is extremely important, not just for comparing systems for which cell division rates vary greatly, but for accurately detecting the kdeg of proteins that turn over slowly, which can be confounded by kdil (24). More detail about the non-trivial relationship between protein synthesis, degradation rate, and cell division rate are discussed in depth in a recent publication by the Busse group, who emphasize that taking the cell division rate into account significantly improves the "hit rate" of differential gene expression profiling (30).…”
Section: Cell Division and Protein Turnovermentioning
confidence: 99%
“… a , A basic gene expression model with key parameters (adopted from REF. 52, 83 ). The mRNA is transcribed with rate V sr and degraded with a half-life represented by t r1/2 .…”
Section: Resultsmentioning
confidence: 99%
“… c , Mathematical expression of mRNA (Equation 1) and protein abundances (Equation 2) as a function of key gene expression parameters, including cell doubling time T cc , as detailed in REF. 83 . Rearranging Equation 2 yields the dependency of protein-mRNA abundance ratio on the translation rate constant K sp , cell doubling time T cc , and protein half-life t p1/2 (Equation 3).…”
Section: Resultsmentioning
confidence: 99%