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A SIRT7-dependent acetylation switch regulates early B-cell differentiation and lineage commitment through Pax5

GSE246370 Mus musculus Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 36 samples 2024/09/19 GPL28457
Summary
B lymphopoiesis is a key developmental event orchestrated by a complex combinatorial action of lineage-specific transcription factors. In early B cell progenitors, lineage commitment is directly mediated by the master regulator Pax5, whose deficiency is commonly associated with B cell Acute Lymphoblastic Leukemia (B-ALL). Despite its essential role in mammalian immunity, the regulatory mechanisms that control Pax5 function remain largely unknown. Here we show that NAD+-dependent enzyme SIRT7 coordinates B cell development progression through regulation of Pax5 function. We have identified a SIRT7-dependent regulatory switch based on dynamic deacetylation of a single Pax5 residue, which controls its activity and thereby B cell fate. While a PAX5K198 acetylated mimic is incapable of inducing both B cell development and identity due to reduced protein stability and impaired binding to chromatin, deacetylation of this residue boosts Pax5 activity, leading to massive gene repression and restoration of B cell commitment but not differentiation in vivo. These findings suggest an unexpected uncoupling of hematopoietic differentiation and lineage commitment. Further supporting the functional relevance of the SIRT7-PAX5 axis, the interplay between both factors is largely conserved in human B-ALL, where high SIRT7 expression is an independent good prognostic factor. Our findings unveil a crucial mechanism in the regulation of B-cell production based on the control of Pax5 function and underscore the key role of Sirtuins in the regulation of the immune system.
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NCBI GEO page ↗ Paper (PMID 39424985) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
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