Faculty Opinions recommendation of CRISPR-Mediated Programmable 3D Genome Positioning and Nuclear Organization.

Author(s):  
Tomoyuki Tanaka ◽  
John Eykelenboom
Genetics ◽  
2020 ◽  
Vol 214 (3) ◽  
pp. 651-667 ◽  
Author(s):  
Marco Di Stefano ◽  
Francesca Di Giovanni ◽  
Vasilisa Pozharskaia ◽  
Mercè Gomar-Alba ◽  
Davide Baù ◽  
...  

The three-dimensional (3D) organization of chromosomes can influence transcription. However, the frequency and magnitude of these effects remain debated. To determine how changes in chromosome positioning affect transcription across thousands of genes with minimal perturbation, we characterized nuclear organization and global gene expression in budding yeast containing chromosome fusions. We used computational modeling and single-cell imaging to determine chromosome positions, and integrated these data with genome-wide transcriptional profiles from RNA sequencing. We find that chromosome fusions dramatically alter 3D nuclear organization without leading to strong genome-wide changes in transcription. However, we observe a mild but significant and reproducible increase in the expression of genes displaced away from the periphery. The increase in transcription is inversely proportional to the propensity of a given locus to be at the nuclear periphery; for example, a 10% decrease in the propensity of a gene to reside at the nuclear envelope is accompanied by a 10% increase in gene expression. Modeling suggests that this is due to both deletion of telomeres and to displacement of genes relative to the nuclear periphery. These data suggest that basal transcriptional activity is sensitive to radial changes in gene position, and provide insight into the functional relevance of budding yeast chromosome-level 3D organization in gene expression.


Cell ◽  
2018 ◽  
Vol 175 (5) ◽  
pp. 1405-1417.e14 ◽  
Author(s):  
Haifeng Wang ◽  
Xiaoshu Xu ◽  
Cindy M. Nguyen ◽  
Yanxia Liu ◽  
Yuchen Gao ◽  
...  

2017 ◽  
Author(s):  
Marco Di Stefano ◽  
Francesca Di Giovanni ◽  
Davide Baù ◽  
Lucas B. Carey ◽  
Marc A. Marti-Renom ◽  
...  

ABSTRACTThe three-dimensional organization of chromosomes can influence transcription. However, the frequency and magnitude of these effects remains debated. To determine how changes in chromosome positioning affect transcription across thousands of genes with minimal perturbation, we characterized nuclear organization and global gene expression in budding yeast containing chromosome fusions. We used computational modelling and single cell imaging to determine chromosome position and integrated these data with genome-wide transcriptional profiles from RNA sequencing. We find that chromosome fusions dramatically alter 3D nuclear organization without leading to strong genome-wide changes in transcription. However, we observe a mild but significant and reproducible increase in expression of genes near fusion sites. Modeling suggests that this is due to both disruption of telomere-associated silencing and the displacement of genes relative to the nuclear periphery. A 10% decrease in the predicted time a gene spends near the nuclear periphery is associated with a 10% increase in expression. These data suggest that basal transcriptional activity is sensitive to radial changes on gene position, and provide insight into the functional relevance of budding yeast chromosome-level three-dimensional organization in gene expression.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


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