The aryl hydrocarbon receptor controls cell-fate decisions in B cells.
Bharat VaidyanathanAshutosh ChaudhryWilliam T YewdellDavide AngelettiWei-Feng YenAdam K WheatleyChristopher A BradfieldAdrian B McDermottJonathan W YewdellAlexander Y RudenskyJayanta ChaudhuriPublished in: The Journal of experimental medicine (2016)
Generation of cellular heterogeneity is an essential feature of the adaptive immune system. This is best exemplified during humoral immune response when an expanding B cell clone assumes multiple cell fates, including class-switched B cells, antibody-secreting plasma cells, and memory B cells. Although each cell type is essential for immunity, their generation must be exquisitely controlled because a class-switched B cell cannot revert back to the parent isotype, and a terminally differentiated plasma cell cannot contribute to the memory pool. In this study, we show that an environmental sensor, the aryl hydrocarbon receptor (AhR) is highly induced upon B cell activation and serves a critical role in regulating activation-induced cell fate outcomes. We find that AhR negatively regulates class-switch recombination ex vivo by altering activation-induced cytidine deaminase expression. We further demonstrate that AhR suppresses class switching in vivo after influenza virus infection and immunization with model antigens. In addition, by regulating Blimp-1 expression via Bach2, AhR represses differentiation of B cells into plasmablasts ex vivo and antibody-secreting plasma cells in vivo. These experiments suggest that AhR serves as a molecular rheostat in B cells to brake the effector response, possibly to facilitate optimal recall responses. Thus, AhR might represent a novel molecular target for manipulation of B cell responses during vaccination.
Keyphrases
- cell fate
- immune response
- induced apoptosis
- high glucose
- single cell
- diabetic rats
- poor prognosis
- cell cycle arrest
- dendritic cells
- binding protein
- oxidative stress
- machine learning
- cell therapy
- working memory
- signaling pathway
- dna damage
- risk assessment
- cell death
- climate change
- mesenchymal stem cells
- bone marrow
- deep learning
- skeletal muscle
- type diabetes
- single molecule
- cell proliferation
- metabolic syndrome