Sall4 regulates posterior trunk mesoderm development by promoting mesodermal gene expression and chromatin accessibility that promotes WNT signaling and represses neural genes within the mesoderm.
Matthew P PappasHiroko KawakamiDylan CorcoranKatherine Q ChenEarl Parker ScottJulia WongMicah D GearhartRyuichi NishinakamuraYasushi NakagawaYasuhiko KawakamiPublished in: Development (Cambridge, England) (2024)
The trunk axial skeleton develops from paraxial mesoderm cells. Our recent study demonstrated that conditional knockout of a stem cell factor Sall4 in mice by TCre caused tail truncation and disorganized axial skeleton posterior to the lumbar level. With this phenotype, we hypothesized that, in addition to the previously reported role of Sall4 in neuromesodermal progenitors, Sall4 is involved in the development of the paraxial mesoderm tissue. Analysis of gene expression and SALL4 binding suggests that Sall4 directly or indirectly regulates genes involved in presomitic mesoderm differentiation, somite formation and somite differentiation. Furthermore, ATAC-seq in TCre; Sall4 mutant posterior trunk mesoderm shows that Sall4 knockout reduces chromatin accessibility. We found that Sall4-dependent open chromatin status drives activation and repression of WNT signaling activators and repressors, respectively, to promote WNT signaling. Moreover, footprinting analysis of ATAC-seq data suggests that Sall4-dependent chromatin accessibility facilitates CTCF binding, which contributes to repression of neural genes within the mesoderm. Our study unveiled multiple mechanisms by which Sall4 regulates paraxial mesoderm development by directing activation of mesodermal genes and repression of neural genes.
Keyphrases
- gene expression
- genome wide
- dna methylation
- pluripotent stem cells
- stem cells
- dna damage
- transcription factor
- minimally invasive
- induced apoptosis
- single cell
- genome wide identification
- mesenchymal stem cells
- type diabetes
- signaling pathway
- insulin resistance
- artificial intelligence
- bone marrow
- cell therapy
- deep learning