Gene-regulation modules in nonalcoholic fatty liver disease revealed by single-nucleus ATAC-seq.
Fumihiko TakeuchiYi-Qiang LiangHana Shimizu-FurusawaMasato IsonoMia Yang AngKotaro MoriTaizo MoriEiji KakazuSachiyo YoshioNorihiro KatoPublished in: Life science alliance (2023)
We investigated the progression of nonalcoholic fatty liver disease 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 wk developed fatty liver, and those fed HFD for 8 wk 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 nonalcoholic fatty liver disease. 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.
Keyphrases
- high fat diet
- genome wide
- genome wide identification
- transcription factor
- machine learning
- adipose tissue
- insulin resistance
- bioinformatics analysis
- dna methylation
- protein protein
- single cell
- small molecule
- poor prognosis
- metabolic syndrome
- artificial intelligence
- skeletal muscle
- dna binding
- big data
- single molecule
- network analysis
- high speed
- atomic force microscopy