Investigating cell cycle-dependent gene expression in the context of nuclear architecture at single-allele resolution

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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.

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Dhuppar, S., & Mazumder, A. (2020). Investigating cell cycle-dependent gene expression in the context of nuclear architecture at single-allele resolution. Journal of Cell Science, 133(12). https://doi.org/10.1242/jcs.246330

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