A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells

A spatio-temporal model to reveal oscillator phenotypes in molecular clocks: Parameter estimation elucidates circadian gene transcription dynamics in single-cells

We propose a stochastic distributed delay model together with a Markov random field prior and a measurement model for bioluminescence-reporting to analyse spatio-temporal gene expression in intact networks of cells. The model describes the oscillating time evolution of molecular mRNA counts through...

Full description

Bibliographic Details
Main Authors: Brancaccio, M. (Author), Finkenstädt, B. (Author), Hastings, M. (Author), Johansen, A.M (Author), Unosson, M. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
animal
animal cell
animal tissue
Animals
Article
biological model
bioluminescence
cell heterogeneity
Circadian Clocks
circadian rhythm
Circadian Rhythm Signaling Peptides and Proteins
circadian rhythm signaling protein
computer model
Cry1 gene
Cry1 protein, mouse
cryptochrome
cryptochrome 1
Cryptochromes
cytology
feedback system
gene expression
gene expression regulation
Gene Expression Regulation
genetic transcription
genetic variation
genetics
Markov chain
Markov random field
mathematical model
messenger RNA
metabolism
Mice
Models, Biological
molecular clock
mouse
nerve cell
nonhuman
oscillation
phenotype
Phenotype
RNA translation
single cell analysis
Single-Cell Analysis
Stochastic Processes
suprachiasmatic nucleus
Suprachiasmatic Nucleus
Transcription, Genetic
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items