Single-nucleus ATAC-seq elucidates major modules of gene regulation in the development of non-alcoholic fatty liver disease
Takeuchi, F.; Liang, Y.-Q.; Shimizu-Furusawa, H.; Isono, M.; Ang, M. Y.; Mori, K.; Mori, T.; Kakazu, E.; Yoshio, S.; Kato, N.
Show abstract
We investigated the progression of non-alcoholic fatty liver disease (NAFLD) from fatty liver to steatohepatitis using single-nucleus and bulk ATAC-seq on the livers of rats fed a high-fat diet (HFD). Rats fed HFD for 4 weeks developed fatty liver, and those fed HFD for 8 weeks further progressed to steatohepatitis. We observed an increase in the proportion of inflammatory macrophages, consistent with the pathological progression. Utilizing machine learning, we divided global gene regulation into modules, wherein transcription factors within a module could regulate genes within the same module, reaffirming known regulatory relationships between transcription factors and biological processes. We identified core genes--central to co-expression and protein-protein interaction--for the biological processes discovered. Notably, a large part of the core genes overlapped with genes previously implicated in NAFLD. Single-nucleus ATAC-seq, combined with data-driven statistical analysis, offers insight into in vivo global gene regulation as a combination of modules and assists in identifying core genes of relevant biological processes. Summary blurbThis study uncovers cell type-specific global gene regulation in NAFLD progression, identifying core genes and shedding light on the diseases molecular mechanisms.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- MAGGIE: leveraging genetic variation to identify DNA sequence motifs mediating transcription factor binding and function 94%
- ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes 93%
- PathExt: a general framework for path-based mining of omics-integrated biological networks 93%
Similar papers in this journal
- Characterization of transcript enrichment and detection bias in single-nuclei RNA-seq for mapping of distinct human adipocyte lineages 95%
- Relative contributions of sex hormones, sex chromosomes, and gonads to sex differences in tissue gene regulation 94%
- Variation in histone configurations correlates with gene expression across nine inbred strains of mice 94%
Similar papers in this journal
- High-fat diet in early life triggers both reversible and persistent epigenetic changes in the medaka fish (Oryzias latipes) 95%
- Frequentmers - a novel way to look at metagenomic Next Generation Sequencing data and an application in detecting liver cirrhosis 93%
- Harnessing changes in open chromatin determined by ATAC-seq to generate insulin-responsive reporter constructs. 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.