IRF2 is a master regulator of human keratinocyte stem cell fate.
Nicolas MercadoGabi SchutziusChristian KolterDavid EstoppeySebastian BerglingGuglielmo RomaCaroline Gubser KellerFlorian NigschAdrian SalatheRemi TerranovaJohn Reece-HoyesJohn AlfordCarsten RussJudith KnehrDominic HoepfnerAlexandra AebiHeinz RuffnerTanner C BeckSajjeev JagannathanCalla M OlsonHadley E SheppardSelma Z ElsarragTewis BouwmeesterMathias FrederiksenFelix LohmannCharles Y LinSusan KirklandPublished in: Nature communications (2019)
Resident adult epithelial stem cells maintain tissue homeostasis by balancing self-renewal and differentiation. The stem cell potential of human epidermal keratinocytes is retained in vitro but lost over time suggesting extrinsic and intrinsic regulation. Transcription factor-controlled regulatory circuitries govern cell identity, are sufficient to induce pluripotency and transdifferentiate cells. We investigate whether transcriptional circuitry also governs phenotypic changes within a given cell type by comparing human primary keratinocytes with intrinsically high versus low stem cell potential. Using integrated chromatin and transcriptional profiling, we implicate IRF2 as antagonistic to stemness and show that it binds and regulates active cis-regulatory elements at interferon response and antigen presentation genes. CRISPR-KD of IRF2 in keratinocytes with low stem cell potential increases self-renewal, migration and epidermis formation. These data demonstrate that transcription factor regulatory circuitries, in addition to maintaining cell identity, control plasticity within cell types and offer potential for therapeutic modulation of cell function.
Keyphrases
- stem cells
- transcription factor
- cell therapy
- endothelial cells
- single cell
- dendritic cells
- dna binding
- induced pluripotent stem cells
- gene expression
- genome wide
- wound healing
- patient safety
- induced apoptosis
- mesenchymal stem cells
- dna damage
- dna methylation
- epithelial mesenchymal transition
- machine learning
- big data
- artificial intelligence
- genome editing
- cell death