Applications and implications of the exponentially modified gamma distribution as a model for time variabilities related to cell proliferation and gene expression

A. Golubev

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

A panel of published distributions of cell interdivision times (IDT) comprising 77 datasets related to 16 cell types, some studied under different conditions, was used to evaluate their conformance to the exponentially modified gamma distribution (EMGD) in comparison with distributions suggested for IDT data earlier. Lognormal, gamma, inverse Gaussian, and shifted Weibull and gamma distributions were found to be generally inferior to EMGD. Exponentially modified Gaussian (EMG) performed equally well. Although EMGD or EMG may be worse than some other distributions in specific cases,the reason that IDT distributions must be generated by a common mechanism of the cell cycle makes it unlikely that they differ essentially in different cell types. Therefore, exponentially modified peak functions, such as EMGD or EMG, are most appropriate if the use of a single distribution for IDT data is reasonable. EMGD is also shown to be the best descriptive tool for published data on the distribution of times between the burst
Original languageEnglish
Pages (from-to)203-217
JournalJournal of Theoretical Biology
Issue number393
DOIs
StatePublished - 2016
Externally publishedYes

Keywords

  • Cell cycle
  • Transcriptional cycle
  • Single cell
  • Time distribution
  • Transition probability

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