Abstract
Single-cell RNA-seq reveals the role of pathogenic cell populations in development and progression of chronic diseases. In order to expand our knowledge on cellular heterogeneity we have developed a single-nucleus RNA-seq2 method that allows deep characterization of nuclei isolated from frozen archived tissues. We have used this approach to characterize the transcriptional profile of individual hepatocytes with different levels of ploidy, and have discovered that gene expression in tetraploid mononucleated hepatocytes is conditioned by their position within the hepatic lobe. Our work has revealed a remarkable crosstalk between gene dosage and spatial distribution of hepatocytes.
Competing Interest Statement
The authors have declared no competing interest.
Abbreviations
- CV
- Coefficient of Variation
- Dpt
- diffusion pseudotime
- Fig.
- Figure
- HVG
- Highly Variable Genes
- DE
- Differentially Expressed
- DEGs
- Differentially Expressed Genes
- Supp.
- Supplementary
- t-SNE
- T-distributed stochastic neighbor embedding
- UMAP
- Uniform Manifold Approximation and Projection for Dimension Reduction
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Posted July 12, 2020.
“Single-nucleus RNA-seq2 reveals a functional crosstalk between liver zonation and ploidy”
