The transcription factor E2A activates multiple enhancers that drive Rag expression in developing T and B cells.
Kazuko MiyazakiHitomi WatanabeGenki YoshikawaKenian ChenReiko HidakaYuki AitaniKai OsawaRie TakedaYotaro OchiShizue Tani-IchiTakuya UehataOsamu TakeuchiKoichi IkutaSeishi OgawaGen KondohYin C LinHiroyuki OgataMasaki MiyazakiPublished in: Science immunology (2022)
Cell type-specific gene expression is driven by the interplay between lineage-specific transcription factors and cis-regulatory elements to which they bind. Adaptive immunity relies on RAG-mediated assembly of T cell receptor (TCR) and immunoglobulin (Ig) genes. Although Rag1 and Rag2 expression is largely restricted to adaptive lymphoid lineage cells, it remains unclear how Rag gene expression is regulated in a cell lineage-specific manner. Here, we identified three distinct cis-regulatory elements, a T cell lineage-specific enhancer (R-TEn) and the two B cell-specific elements, R1B and R2B By generating mice lacking either R-TEn or R1B and R2B, we demonstrate that these distinct sets of regulatory elements drive the expression of Rag genes in developing T and B cells. What these elements have in common is their ability to bind the transcription factor E2A. By generating a mouse strain that carries a mutation within the E2A binding site of R-TEn, we demonstrate that recruitment of E2A to this site is essential for orchestrating changes in chromatin conformation that drive expression of Rag genes in T cells. By mapping cis-regulatory elements and generating multiple mouse strains lacking distinct enhancer elements, we demonstrate expression of Rag genes in developing T and B cells to be driven by distinct sets of E2A-dependent cis-regulatory modules.
Keyphrases
- transcription factor
- genome wide identification
- poor prognosis
- gene expression
- dna binding
- binding protein
- genome wide
- dna methylation
- long non coding rna
- type diabetes
- escherichia coli
- mass spectrometry
- dna damage
- stem cells
- mesenchymal stem cells
- cell therapy
- regulatory t cells
- molecular dynamics simulations
- network analysis
- cell fate
- cell cycle arrest