A direct physical interaction between Nanog and Sox2 regulates embryonic stem cell self-renewal.
Alessia GagliardiNicholas P MullinZi Ying TanDouglas ColbyAnastasia I KousaFlorian HalbritterJason T WeissAnastasia FelkerKarel BezstarostiRebecca FavaroJeroen DemmersSilvia K NicolisSimon R TomlinsonRaymond A PootIan ChambersPublished in: The EMBO journal (2013)
Embryonic stem (ES) cell self-renewal efficiency is determined by the Nanog protein level. However, the protein partners of Nanog that function to direct self-renewal are unclear. Here, we identify a Nanog interactome of over 130 proteins including transcription factors, chromatin modifying complexes, phosphorylation and ubiquitination enzymes, basal transcriptional machinery members, and RNA processing factors. Sox2 was identified as a robust interacting partner of Nanog. The purified Nanog-Sox2 complex identified a DNA recognition sequence present in multiple overlapping Nanog/Sox2 ChIP-Seq data sets. The Nanog tryptophan repeat region is necessary and sufficient for interaction with Sox2, with tryptophan residues required. In Sox2, tyrosine to alanine mutations within a triple-repeat motif (S X T/S Y) abrogates the Nanog-Sox2 interaction, alters expression of genes associated with the Nanog-Sox2 cognate sequence, and reduces the ability of Sox2 to rescue ES cell differentiation induced by endogenous Sox2 deletion. Substitution of the tyrosines with phenylalanine rescues both the Sox2-Nanog interaction and efficient self-renewal. These results suggest that aromatic stacking of Nanog tryptophans and Sox2 tyrosines mediates an interaction central to ES cell self-renewal.
Keyphrases
- transcription factor
- stem cells
- cancer stem cells
- dna binding
- gene expression
- single cell
- amino acid
- physical activity
- mental health
- dna damage
- small molecule
- mesenchymal stem cells
- dna methylation
- high throughput
- electronic health record
- binding protein
- genome wide identification
- artificial intelligence
- human immunodeficiency virus
- hiv infected
- high throughput sequencing