Osteogenesis depends on commissioning of a network of stem cell transcription factors that act as repressors of adipogenesis.
Alexander RauchAnders K HaakonssonJesper G S MadsenMette LarsenIsabel ForssMartin R MadsenElvira L Van HauwaertChristian WiwieNaja Z JespersenMichaela TencerovaRonni NielsenBjørk D LarsenRichard RöttgerJan BaumbachCamilla ScheeleMoustapha KassemSusanne MandrupPublished in: Nature genetics (2019)
Mesenchymal (stromal) stem cells (MSCs) constitute populations of mesodermal multipotent cells involved in tissue regeneration and homeostasis in many different organs. Here we performed comprehensive characterization of the transcriptional and epigenomic changes associated with osteoblast and adipocyte differentiation of human MSCs. We demonstrate that adipogenesis is driven by considerable remodeling of the chromatin landscape and de novo activation of enhancers, whereas osteogenesis involves activation of preestablished enhancers. Using machine learning algorithms for in silico modeling of transcriptional regulation, we identify a large and diverse transcriptional network of pro-osteogenic and antiadipogenic transcription factors. Intriguingly, binding motifs for these factors overlap with SNPs related to bone and fat formation in humans, and knockdown of single members of this network is sufficient to modulate differentiation in both directions, thus indicating that lineage determination is a delicate balance between the activities of many different transcription factors.
Keyphrases
- transcription factor
- stem cells
- mesenchymal stem cells
- dna binding
- bone marrow
- bone regeneration
- adipose tissue
- induced apoptosis
- gene expression
- endothelial cells
- umbilical cord
- genome wide identification
- cell therapy
- machine learning
- single cell
- fatty acid
- insulin resistance
- cell cycle arrest
- deep learning
- type diabetes
- bone mineral density
- molecular docking
- endoplasmic reticulum stress
- cell death
- solid phase extraction
- mass spectrometry
- dna damage
- molecularly imprinted
- cell proliferation
- dna methylation
- molecular dynamics simulations
- pluripotent stem cells
- pi k akt
- liquid chromatography
- wound healing