MiRNA profiling for mouse B10+ cells and B10- B cells
Ontology highlight
ABSTRACT: we used genome-wide transcriptome analysis to profile the mRNA, long noncoding RNA (lncRNA), and microRNA (miRNA) expression of B10 cells, an antigen-specific Cd1dhiCd5+Cd19hiIl10 competent regulatory B cell. Potential key upstream regulators (including transcription factors, cytokines, trans-membrane receptors, and kinases) for Breg biogenesis and function were identified. B10+ B cells (Cd1dhiCd5+Cd19hiIl10+) and B10- cells (Cd1d-Cd5-Cd19hiIl10-) from mouse splenic B cell were sorted for RNA preparation. Two independent repeats were prepared for microarray analysis
Project description:we used genome-wide transcriptome analysis to profile the mRNA, long noncoding RNA (lncRNA), and microRNA (miRNA) expression of B10 cells, an antigen-specific Cd1dhiCd5+Cd19hiIl10 competent regulatory B cell. Potential key upstream regulators (including transcription factors, cytokines, trans-membrane receptors, and kinases) for Breg biogenesis and function were identified. B10+ B cells (Cd1dhiCd5+Cd19hiIl10+) and B10- cells (Cd1d-Cd5-Cd19hiIl10-) from mouse splenic B cell were sorted for RNA preparation. Two independent repeats were prepared for RNA-seq
Project description:Regulatory B cells (Breg) express high levels of CD1d that presents lipid antigens to invariant natural killer T (iNKT) cells. The function of CD1d in Breg biology and iNKT cell activity during inflammation remains unclear. Here we show, using chimeric mice, cell depletion and adoptive cell transfer, that CD1d-lipid presentation by Bregs induces iNKT cells to secret IFN-γ to contribute, partially, to the down-regulation of T helper (Th)1 and Th17 adaptive immune responses for ameliorating experimental arthritis. Mice lacking CD1d-expressing B cells develop exacerbated diseases compared to wild-type mice, and fail to respond to α-galactosylceramide treatment. Absence of lipid presentation by B cells causes altered activation of iNKT cells, with disruption of regulatory pathways including those involved in metabolism and cytokine responses. Thus, we identify an IL-10-independent mechanism by which Bregs restrain excessive inflammation via lipid presentation.
Project description:we used genome-wide transcriptome analysis to profile the mRNA, long noncoding RNA (lncRNA), and microRNA (miRNA) expression of B10 cells, an antigen-specific Cd1dhiCd5+Cd19hiIl10 competent regulatory B cell. Potential key upstream regulators (including transcription factors, cytokines, trans-membrane receptors, and kinases) for Breg biogenesis and function were identified.
Project description:we used genome-wide transcriptome analysis to profile the mRNA, long noncoding RNA (lncRNA), and microRNA (miRNA) expression of B10 cells, an antigen-specific Cd1dhiCd5+Cd19hiIl10 competent regulatory B cell. Potential key upstream regulators (including transcription factors, cytokines, trans-membrane receptors, and kinases) for Breg biogenesis and function were identified.
Project description:Divergence has occured between the B10.BR-H2k H2-T18a/SgSnJJrep and B10.BR-H2k H2-T18a/SgSnJ (drifted) mouse strains, resulting in altered antigenic recognition and differential bone marrow engraftment capability. The microarray data demonstrate that the transcriptional profile of genes associated with hematopoiesis differs between lineage negative (as a marker for hematopoietic stem cells) bone marrow cells isolated from the B10.BR-H2k H2-T18a/SgSnJJrep and B10.BR-H2k H2-T18a/SgSnJ (drifted) mouse strains.
Project description:Divergence has occured between the B10.BR-H2k H2-T18a/SgSnJJrep and B10.BR-H2k H2-T18a/SgSnJ (drifted) mouse strains, resulting in altered antigenic recognition and differential bone marrow engraftment capability. The microarray data demonstrate that the transcriptional profile of genes associated with hematopoiesis differs between lineage negative (as a marker for hematopoietic stem cells) bone marrow cells isolated from the B10.BR-H2k H2-T18a/SgSnJJrep and B10.BR-H2k H2-T18a/SgSnJ (drifted) mouse strains. Bone marrow cells from ten male mice of each strain, aged 10-12 weeks, were harvested. One pooled sample was analyzed for each strain.
Project description:We characterized Breg cells by scRNA-seq based on the immunosuppressive gene expression profile and B10 related genes, and delineated their transcriptional profiles, underlying functions and BCR clonotypes in different mouse organs under physiological condition.
Project description:The ability to detect and isolate bGL1-22/LGL1âspecific human type II NKT cells allowed us to compare the global gene expression profiles of these cells with type I NKT cells using microarray analysis. Principal component analysis revealed that the gene expression profile signature for bGL1-22 and LGL1-specific T cells both before and after activation with anti-CD3/CD28 beads is distinct from that of type I NKT cells. RNA from CD1d tetramer-sorted b-GL122/LGL1âspecific T cells or iNKT cells was amplified, labeled, and hybridized on the Affymetrix Human Genome U133 Plus 2.0 microarray chips. The data were analyzed with GeneSpring GX 12.5 (Agilent Technologies)