Transcriptomic landscape of human induced pluripotent stem cell-derived osteogenic differentiation identifies a regulatory role of KLF16.
Ying RuMeng MaXianxiao ZhouDivya KritiNinette CohenSunita D'SouzaChristoph SchanielSusan Motch PerrineSharon KuoDalila PintoGenevieve HousmanMeng WuGreg HolmesEric SchadtHarm van BakelBin ZhangEthylin Wang JabsPublished in: bioRxiv : the preprint server for biology (2024)
Osteogenic differentiation is essential for bone development and metabolism, but the underlying gene regulatory networks have not been well investigated. We differentiated mesenchymal stem cells, derived from 20 human induced pluripotent stem cell lines, into preosteoblasts and osteoblasts, and performed systematic RNA-seq analyses of 60 samples for differential gene expression. We noted a highly significant correlation in expression patterns and genomic proximity among transcription factor (TF) and long noncoding RNA (lncRNA) genes. We identified TF-TF regulatory networks, regulatory roles of lncRNAs on their neighboring coding genes for TFs and splicing factors, and differential splicing of TF, lncRNA, and splicing factor genes. TF-TF regulatory and gene co-expression network analyses suggested an inhibitory role of TF KLF16 in osteogenic differentiation. We demonstrate that in vitro overexpression of human KLF16 inhibits osteogenic differentiation and mineralization, and in vivo Klf16 +/- mice exhibit increased bone mineral density, trabecular number, and cortical bone area. Thus, our model system highlights the regulatory complexity of osteogenic differentiation and identifies novel osteogenic genes.
Keyphrases
- transcription factor
- mesenchymal stem cells
- genome wide identification
- bone mineral density
- genome wide
- bone marrow
- long noncoding rna
- rna seq
- endothelial cells
- umbilical cord
- postmenopausal women
- single cell
- gene expression
- dna binding
- high glucose
- dna methylation
- body composition
- poor prognosis
- induced pluripotent stem cells
- pluripotent stem cells
- genome wide analysis
- copy number
- long non coding rna
- bioinformatics analysis
- cell proliferation
- stem cells
- diabetic rats
- drug induced
- oxidative stress
- network analysis