2), and NF-κB p65 (Supplementary Fig. 2) in PBMC subsets (monocytes, lymphocytes, and granulocytes) was analyzed by flow cytometry. Fig. 2 Gating strategy. (a and b) Gating for single cells, (c) identification of PBMC subsets based on size and granularity, (d) quantification of CD36...
Single cell RNA sequencing (scRNA-Seq) has revolutionized the analysis of immune cells in humans and animal models1,2,3,4,5. Traditionally, immune cells are characterized by their expression of surface proteins, transcription factors and intracellular cytokines6. Spectral flow cytometry (FACS) and ...
(uf.MEM.scores) = paste0(rownames(uf.MEM.scores), ' (UMAP)') all.MEM.values = as.matrix(rbind(uf.MEM.scores, orig.MEM.scores)) RMSD_vals <- MEM_RMSD( all.MEM.values, # input all MEM values from clustering and # expert gating format = NULL, newWindow.heatmaps = FALSE, ...
Labeled cells were washed and resuspended in FACS buffer for flow cytometric analysis on a BD Fortessa with FACS Diva software (BD Biosciences, Franklin Lakes, NJ, USA) and analyzed using FACS Diva software, version 8.0. Negative gating was based on a fluorescence-minus-one (FMO) strategy. 2....
Flow cytometry results were based on gating at the lymphocyte population. Data analysis was carried out using Flowjo software. 2.4. ELISA ELISA is less sensitive than the ELISPOT assay, and for this reason, we had to use a higher number of cells/mL in ELISA compared to ELISPOT. PBMCs (5...