Project description:The memory B cell response consists of phenotypically distinct subsets that differ in their ability to respond upon antigen re-encounter. However, the pathways regulating the development and function of memory B cell subsets are poorly understood. Here we show that CD62L and CD44 are progressively expressed on mouse memory B cells and identify transcriptionally and functionally distinct memory B cell subsets. Bcl6 is important in regulating memory B cell subset differentiation with overexpression of Bcl6 resulting in impaired CD62L+ memory B cell development. Bcl6 regulates memory B cell subset development through control of a network of genes, including Bcl2 and Zeb2. Overexpression of Zeb2 impairs the development of CD62L+ memory B cells. Importantly, CD62L is also differentially expressed on human memory B cells following SARS-CoV-2 vaccination and identifies phenotypically distinct populations. Together, these data indicate that CD62L expression marks functionally distinct memory B cell subsets.
Project description:Macrophages adopt an alternatively activated phenotype (AAM) when activated by IL-4. While these AAMs can be derived from local proliferation of resident tissue macrophages or recruited inflammatory monocytes, it is not known whether these different AAMs are phenotypically and functionally distinct. Using microarray analysis of gene expression, we demonstrated that while both monocyte- and tissue-derived AAM expressed high levels of Arg1, Chi3l3 and Retnla, only monocyte-derived AAM upregulated Raldh2 and PD-L2. The distinction between monocyte- and tissue-derived macrophages can, therefore, be made using different phenotypic markers. Gene expression profiling analysis with whole genome microarray of tissue-derived and monocyte-derived macrophages, induced using IL-4c and/or 4% thioglycollate.
Project description:Macrophages adopt an alternatively activated phenotype (AAM) when activated by IL-4. While these AAMs can be derived from local proliferation of resident tissue macrophages or recruited inflammatory monocytes, it is not known whether these different AAMs are phenotypically and functionally distinct. Using microarray analysis of gene expression, we demonstrated that while both monocyte- and tissue-derived AAM expressed high levels of Arg1, Chi3l3 and Retnla, only monocyte-derived AAM upregulated Raldh2 and PD-L2. The distinction between monocyte- and tissue-derived macrophages can, therefore, be made using different phenotypic markers.
Project description:Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity. Human monocyte subsets (CD14++CD16-, CD14++CD16+, CD14+CD16++) were isolated from 12 healthy volunteers based on MACS technology. Total RNA from monocyte subsets was isolated and same aliquots from each donor and monocyte subset were matched for SuperSAGE. Three SuperSAGE libraries (CD14++CD16-, CD14++CD16+ and CD14+CD16++) were generated.