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Investigating cell cycle-dependent gene expression in the context of nuclear architecture at a single allele resolution
- Source :
- Journal of Cell Science.
- Publication Year :
- 2020
- Publisher :
- The Company of Biologists, 2020.
-
Abstract
- Nuclear architecture is the organization of the genome within a cell nucleus with respect to different nuclear landmarks such as the nuclear lamina, nuclear matrix or nucleoli. Recently, nuclear architecture has emerged as a major regulator of gene expression in mammalian cells. However, studies connecting nuclear architecture with gene expression are largely population-averaged and do not report on the heterogeneity in genome organization or gene expression within a population. In this report we present a method for combining 3D DNA fluorescence in situ hybridization (FISH) with single-molecule RNA FISH (smFISH) and immunofluorescence to study nuclear architecture-dependent gene regulation on a cell-by-cell basis. We further combine our method with imaging-based cell cycle staging to correlate nuclear architecture with gene expression across the cell cycle. We present this in the context of the cyclin-A2 (CCNA2) gene, which has known cell cycle-dependent expression. We show that, across the cell cycle, the expression of a CCNA2 gene copy is stochastic and depends neither on its sub-nuclear position - which usually lies close to nuclear lamina - nor on the expression from other copies of the gene.This article has an associated First Person interview with the first author of the paper.
- Subjects :
- Population
Gene Expression
Biology
03 medical and health sciences
0302 clinical medicine
Gene expression
medicine
Animals
education
Gene
Alleles
In Situ Hybridization, Fluorescence
030304 developmental biology
Cell Nucleus
Regulation of gene expression
0303 health sciences
education.field_of_study
Cell Cycle
Cell Biology
Cell cycle
Nuclear matrix
Cell biology
Cell nucleus
medicine.anatomical_structure
030220 oncology & carcinogenesis
Nuclear lamina
Subjects
Details
- ISSN :
- 14779137 and 00219533
- Database :
- OpenAIRE
- Journal :
- Journal of Cell Science
- Accession number :
- edsair.doi.dedup.....9ccaaab4c7c7306f03522cc1a39751a3