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SATB1 ensures appropriate transcriptional programs within naïve CD8 + T cells.

Simone NüssingLisa A MiosgeKah LeeMoshe OlshanskyAdele BarugahareCarla M RootsYovina SontaniE Bridie DayMarios KoutsakosKatherine KedzierskaChristopher C GoodnowBrendan E RussStephen R DaleyStephen J Turner
Published in: Immunology and cell biology (2022)
Special AT-binding protein 1 (SATB1) is a chromatin-binding protein that has been shown to be a key regulator of T-cell development and CD4 + T-cell fate decisions and function. The underlying function for SATB1 in peripheral CD8 + T-cell differentiation processes is largely unknown. To address this, we examined SATB1-binding patterns in naïve and effector CD8 + T cells demonstrating that SATB1 binds to noncoding regulatory elements linked to T-cell lineage-specific gene programs, particularly in naïve CD8 + T cells. We then assessed SATB1 function using N-ethyl-N-nitrosourea-mutant mice that exhibit a point mutation in the SATB1 DNA-binding domain (termed Satb1 m1Anu/m1Anu ). Satb1 m1Anu/m1Anu mice exhibit diminished SATB1-binding, naïve, Satb1 m1Anu/m1Anu CD8 + T cells exhibiting transcriptional and phenotypic characteristics reminiscent of effector T cells. Upon activation, the transcriptional signatures of Satb1 m1Anu/m1Anu and wild-type effector CD8 + T cells converged. While there were no overt differences, primary respiratory infection of Satb1 m1Anu/m1Anu mice with influenza A virus (IAV) resulted in a decreased proportion and number of IAV-specific CD8 + effector T cells recruited to the infected lung when compared with wild-type mice. Together, these data suggest that SATB1 has a major role in an appropriate transcriptional state within naïve CD8 + T cells and ensures appropriate CD8 + T-cell effector gene expression upon activation.
Keyphrases
  • wild type
  • gene expression
  • transcription factor
  • binding protein
  • dna binding
  • dendritic cells
  • regulatory t cells
  • high fat diet induced
  • cell fate
  • metabolic syndrome
  • heat shock
  • immune response
  • deep learning
  • heat stress