Project description:B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets.
Project description:Cells were isolated from healthy human donors (n=2). Unstimulated cells. Cells were stained with CD4, CD45RA, CCR7 and CXCR7. Using flow cytometry, 4 CD4+ T cell populations were sorted: (1) Naïve (CD45RA+CCR7+CXCR5-), (2) Central memory (CD45RA-CCR7+CXCR5-), (3) Effector memory (CD45RA-CCR7-CXCR5-) and (4) CXCR5+ cells (CD45RA-CCR7-CXCR5+)
Project description:Cells were isolated from healthy human donors (n=2). Unstimulated cells. Cells were stained with CD4, CD45RA, CCR7 and CXCR7. Using flow cytometry, 4 CD4+ T cell populations were sorted: (1) Naïve (CD45RA+CCR7+CXCR5-), (2) Central memory (CD45RA-CCR7+CXCR5-), (3) Effector memory (CD45RA-CCR7-CXCR5-) and (4) CXCR5+ cells (CD45RA-CCR7-CXCR5+) RNA were extracted from sorted cells and hybridized on Affymetix HU133Plus2 chips. Each population were repeated on different donors such that n=2.
Project description:RNA-sequencing data from flow cytometry-sorted primary HLA-DR+ Lin-(CD19-CD3-CD14-) CD1c+ cDC2s purifed from frozen peripheral blood mononuclear cells from patients with anterior, intermediate, and posterior non-infectious uveitis and healthy controls.
Project description:CD4+ T-cells from three follicular lymphoma tumors were sorted by flow cytometry into three subsets based on high (hi), intermediate (int), or low (lo) levels of PD-1 and CXCR5 expression and whole genome gene expression profiling was performed.
Project description:Murine monocytes (MC) are classified into Ly6Chigh and Ly6Clow MC. Ly6Chigh MC is the pro-inflammatory subset and the counterpart of human CD14++CD16+ intermediate MC which contributes to systemic and tissue inflammation in various metabolic disorders, including hyperhomocysteinemia (HHcy). This study aims to explore molecule signaling mediating MC subset differentiation in HHcy and control mice.Mouse white blood cell were prepared from peripheral blood and stained with antibody against CD11b, Ly6G and Ly6C and subjected for flow cytometry cell sorting. CD11b+Ly6G- cells were selected as MC. MC subsets (CD11b+Ly6G-Ly6Chigh, and CD11b+Ly6G-Ly6Clow) were sorted based on Ly6C levels. The quantification of MC was used flow cytometry analysis for Ly6Chigh and Ly6Clow MC in CT and Cbs-/-. Then, 100 ng mRNA were obtained from 100,000 sorted cells of CT and Cbs-/- (HHcy) mice. Around 30 million reads were achived and 16,487 normalized genes per sample by mRNA-Seq analysis.
Project description:B lymphocytes in the neonates are poorly define and some of which express the marker CD5. The experiment is based on the flow cytometry cell sorting of 2 populations of B lymphocytes defined according to their phenotype : 1/ CD5 positive sorted as CD20+CD19+CD3-CD5+CD10- ; 2/ CD5 negative B lymphocytes sorted as CD20+CD19+CD3-CD5-CD10-. Cells were isolated from fresh heparinised cord blood used within 24 hours after sample collect, without any additional treatment
Project description:To investigate the impact caused by miR-155 ablation, positively selected light zone (LZ) GC B cells were sorted by flow cytometry and used to analyse transcriptomic profiles.
Project description:CD4+ T-cells from three follicular lymphoma tumors were sorted by flow cytometry into three subsets based on high (hi), intermediate (int), or low (lo) levels of PD-1 and CXCR5 expression and whole genome gene expression profiling was performed. This set contains three samples for PD-1hiCXCR5hiCD4+ T cells, two samples for PD-1intCXCR5intCD4+ T cells, and three samples for PD-1loCXCR5loCD4+ T cells.
Project description:The CD19 positive antibody secreting cells (ASC) in both bone marrow (BM) have the capacity to provide immune memory in addition to cells traditionally considered long-lived, the CD19-negative BM ASC. We performed flow cytometry (FCM) immunophenotyping, fluorescence-activated cell sorting (FACS) for cell subset isolation, ELISpot assays detecting the isotype of antibody secretion as well as antibodies against vaccine derived antigens, and comparative gene expression analyses of CD19- ASC, CD19+ ASC, CD20- B cells, and CD20+ B cells from BM. The findings may aid in the understanding of the differential cell subsets created through vaccination and lead to improved vaccine strategies and production. FACS sorted tissue B cells and antibody secreting cell subset gene expression.