Project description:Human liver myeloid cells are imperfectly defined, but it is broadly agreed that cells of stellate appearance in situ, expressing the markers CD11b and CD68, are the liver’s resident macrophages, termed Kupffer cells. Recent investigations using single cell RNA sequencing and unsupervised clustering algorithms suggest there are two populations of cells with the characteristics of tissue macrophages in human liver. We therefore analyzed dissociated human liver tissue using the markers CD11b and CD68 to define Kupffer cells and found within this population two subsets that differ in their expression of multiple surface markers. These subsets were FACS-sorted based on CD32 expression, and gene expression analysis identified them with human liver myeloid cell subsets defined by two independent single cell RNA sequencing studies. These two subsets differed in the expression of genes associated with T cell activation and immunosuppression, suggesting distinct roles in T cell tolerance.
Project description:Separation of B cells has been historically important in discovering their functional relevance, particularly in relation to infection, immune disorders and vaccination. Traditional use of phenotypic markers often poses problems in distinguishing heterogeneous populations such as the Double Negative (DN, CD19+CD27-IgD-) cells. B cells represent a small subset of PBMCs; this represents challenges to use bottom-up approaches such as single-cell transcriptomics in defining B cell subpopulations. In this study we therefore used the 10X single-cell RNAseq platform on B cell populations already defined by FACS sorting (Transitional, CD19+CD27-IgD+CD10+; Naïve, CD19+CD27-IgD+CD10-; Classical Memory, CD19+CD27+IgD-; IgM Memory, CD19+CD27+IgD+; and DN). These data match known phenotypes to transcriptionally defined B cell subpopulations, and provide a reference atlas for researchers interested in better defining B cell subsets in their data.
Project description:Antibodies produced by B cells aid in recognition and clearance of pathogens and is the cornerstone of vaccination strategies. Humans produce nine different antibody isotypes and their effector functions differ according to the type of antigen and route of exposure. Phenotypic variation between isotype-swithched B cell subsets is expected but not studied in detail. To obtain a molecular definition of isotype-defined B cell identity, we performed proteomics and transcriptomics on isotype-defined populations of human naive and memory B cells (MBCs): CD27-IgM+IgD+, CD27+CD38lo/-IgM+IgD+, CD27+CD38lo/-IgM+IgD-, and IgA1, IgA2, IgG1, IgG2, IgG3, and IgG4 MBCs (CD27+CD38lo/-Ig+). Combined proteome and transcriptome analysis revealed that mRNA and protein expression profiles segregate separate isotype-defined B cell subsets according to their differentiation status. mRNA and protein expression levels correlated reasonably well for many genes. IgG4+ MBCs were most distinct from naive B cells. Besides a distinct expression profile of cytokine and Fc receptors, we identified a high expression of IgE-coding mRNA in IgG4-switched B cells. SDR16C5 was identified as uniquely upregulated in IgG4-switched B cells.
Project description:Previous reports have defined three subsets of mouse NK cells on the basis of the expression of CD27 and CD11b. The developmental relationship between these subsets was unclear. To address this issue, we evaluated the overall proximity between mouse NK cell subsets defined by CD27 and CD11b expression using pangenomic gene expression profiling. The results suggest that CD27+CD11b-, CD27+CD11b+ and CD27-CD11b+ correspond to three different intermediates stages of NK cell development.