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Our data showing expression of ZEB2 in CD21CD27 Bm cells suggest unidirectional plasticity, as ZEB2 acts together with T-bet to commit CD8+ effector T cells to a terminal differentiation state and has been proposed to act similarly in B cells16,40. using FetchData, Low cutoff for the parameter (default is -Inf), High cutoff for the parameter (default is Inf), Returns cells with the subset name equal to this value, Create a cell subset based on the provided identity classes, Subtract out cells from these identity classes (used for We obtained paired tonsil and peripheral blood mononuclear cell and serum samples. | RenameIdent(object = object, old.ident.name = "old.ident", new.ident.name = "new.ident") | RenameIdents(object = object, "old.ident" = "new.ident") | Transcriptomes of individual cells were used as inputs for the gsva() function with default parameters. Frozen mononuclear cells were stained in 96-well U-bottom plates using ZombieUV Live-Dead staining (BioLegend) and TruStain FcX (1:200, BioLegend) in PBS for 30min, followed by staining with the above-mentioned antigen-specific staining mix (200ng S, 50ng RBD, 100ng nucleocapsid, 100ng hemagglutinin and 20ng SAV-decoy per color per 50l) at 4C for 1h. Subsequently, cells were stained for 30min with surface markers, followed by fixation and permeabilization with transcription factor staining buffer (eBioscience) at room temperature for 1h and intracellular staining at room temperature for 30min, before washing and acquisition. Samples in d were compared using KruskalWallis test with Dunns multiple comparison correction, showing adjusted P values if significant. 6d,e). Immunol. In addition, reconstruction of clonal lineage trees and visualizing persistent S+ Bm cell clones in a circos plot indicated that individual Bm cell clones acquired different Bm cell fates; for example, a given clone was of a CD21+CD27 resting phenotype at month 6 and adopted CD21+CD27+ resting, CD21CD27+CD71+ or CD21CD27FcRL5+ Bm cell phenotype at month 12 post-infection (post-vaccination) (Fig. '||', where the operator is quoted. Nature Immunology thanks Stuart Tangye and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Immunol. Percentages indicate frequencies of clonally expanded cells. How about saving the world? CD69 expression is a hallmark of tissue residency in T cells3 and has been proposed to characterize resident Bm cells in lymphoid and nonlymphoid tissues47,48,49. I can figure out what it is by doing the following: Single-cell RNA-seq: Clustering Analysis - In-depth-NGS-Data-Analysis You can read more about sctransform in the manuscript or our SCTransform vignette. I simply used the FindNeighbors and FindClusters command in order to create the 'seurat_clusters' list in the meta.data. Hoehn, K. B., Pybus, O. G. & Kleinstein, S. H. Phylogenetic analysis of migration, differentiation, and class switching in B cells. CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets. Cervia, C. et al. j, WNNUMAP was derived as in f and colored by tissue origin. Annu. To learn more, see our tips on writing great answers. C.C. Asking for help, clarification, or responding to other answers. T-bet+ B cells have a protective role in mouse models of acute and chronic viral infections38,42. Is there a way to do that? CD21CD27 Bm cells were reported to be able to secrete antibodies when receiving T cell help and to act as antigen-presenting cells24. ## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 I'm also interested in understanding better how to do this. Does anyone have an idea how I can automate the subset process? Cell Rep. 34, 108684 (2021). Masopust, D. & Soerens, A. G. Tissue-resident T cells and other resident leukocytes. Y.Z. X-axis shows log-fold change and y-axis the adjusted P values (p<0.05 was considered significant). Bm cells specific for RBD, wild-type spike (SWT) or spike variants B.1.351 (Sbeta) and B.1.617.2 (Sdelta) were identified by SAV multimers carrying specific oligonucleotide barcodes. b, Representative flow cytometry plots show percentages of decoy-negative SARS-CoV-2 S+ Bm cells (gated as in Extended Data Fig. Results were filtered for gene sets that were significantly enriched with adjusted P<0.05. Get the most important science stories of the day, free in your inbox. Creates a Seurat object containing only a subset of the cells in the original object. & Warnatz, K. Naive- and memory-like CD21 low B cell subsets share core phenotypic and signaling characteristics in systemic autoimmune disorders. F1000Res. c, Stacked bar plots (mean+standard deviation) represent isotypes in blood and tonsillar S+ Bm cells from both SARS-CoV-2-vaccinated and SARS-CoV-2-recovered individuals (n=16; also applies to d and e). Also, cells previously occurring as cluster outliers from cl7 found their way to the corresponding clusters. The SWT+ Bm cells in the IgG+CD27hiCD45RBhi cluster (cluster 5) were mainly from blood, in the IgG+CD21hi cluster (cluster 2) predominantly tonsillar, while the IgG+CD27lo cluster (cluster 4) contained SWT+ Bm cells from both compartments. b, Paired comparison of S+ Bm cell frequencies within B cells (n=34) was performed at preVac and postVac. When comparing dataset quality, we noticed a markedly lower median gene detection and unique molecular identifier count per cell in one of our datasets of the SARS-CoV-2 Infection Cohort. Gene set variation analysis with the package gsva (v1.42.0) was used to estimate gene set enrichments for more than two groups61. This will display FeaturePlots of the list of given genes, split by a grouping variable (stimulation condition here). In other words, is this workflow valid: With Seurat, you can easily switch between different assays at the single cell level (such as ADT counts from CITE-seq, or integrated/batch-corrected data). Whereas S+ Bm cells were predominantly resting CD21+ Bm cells at month 6, vaccination strongly induced the appearance of S+ CD21CD27+ and CD21CD27 Bm cells in blood (Fig. a, SARS-CoV-2-infected patients were analyzed by spectral flow cytometry and scRNA-seq at acute infection and months 6 and 12 post-infection. Severe deficiency of switched memory B cells (CD27+IgMIgD) in subgroups of patients with common variable immunodeficiency: a new approach to classify a heterogeneous disease. a, CD21 and CD27 expression on S+ Bm cells during acute infection (top) and month 6 post-infection (bottom) of patient CoV-P2 was determined by flow cytometry. CAS Taken together, resting antigen-specific Bm cells were found in the tonsils after SARS-CoV-2 exposure, and they carried signs of tissue adaptation and clonal connection to their circulating counterparts. Sign in Biol. @MediciPrime That looks correct to me, though your resolution=0.2 parameter is quite low. Compare: For your example, I believe the following should work: See the examples in ?subset for more. BCR diversity was slightly reduced in S+ CD21CD27FcRL5+ compared with S+ CD21+ resting Bm cells (Extended Data Fig. Circulating and intrahepatic antiviral B cells are defective in hepatitis B. J. Clin. Studies in patients with SLE or HIV infection have suggested that CD21CD27 Bm cells differentiate through an extrafollicular pathway16,17. Anti-SARS-CoV-2 antibodies were measured by a commercially available enzyme-linked immunosorbent assay specific for S1 of SARS-CoV-2 (Euroimmun SARS-CoV-2 IgG and IgA)57 or by a bead-based multiplexed immunoassay58. Gene expression markers of identity classes FindMarkers Seurat 4a,b). Alternatively, single B cell clones could give rise to different Bm cell subsets, with stably imprinted phenotypes or show plasticity. d, Exemplary dendrograms (IgPhyML B cell trees) display different persistent Bm cell clones at months 6 (triangles) and 12 (dots) post-infection. | rownames(x = object@data) | rownames(x = object) | Internet Explorer). | object@meta.data$name | object$name | Immunol. Andreas E. Moor or Onur Boyman. Numbers inside donut plots represent counts of S+ Bm cells. Slider with three articles shown per slide. Nat. filtered_contig_annotations.csv files obtained from the cellranger multipipeline were used as input for the changeo-10x pipeline. select from data frame rows with a condition in r, Split data in R with two specific values of column, Subset a dataframe based on numerical values of a string inside a variable, How to filter based on a specific criteria in R. How to subset data in R: participant only needs to meet one of five criteria? eLife 8, e41641 (2019). 64). As far as heterogeneity goes, if you keep sub-sampling till you reach 2 cells you will find differences between even them. As suggested by #2042, you can change the set of features to be integrated by using the features.to.integrate argument in IntegrateData. M.E.R. Which was the first Sci-Fi story to predict obnoxious "robo calls"? b, Distribution of S+ Bm cell subsets in persistent and newly detected clones is shown at indicated timepoints. Longitudinal tracking of S+ Bm cell clones between month 6 and month 12 post-infection identified 30 persistent clones in individuals vaccinated during that period (Fig. How to convert a sequence of integers into a monomial, How to create a virtual ISO file from /dev/sr0. The inclusion of patients with severe COVID-19 will have increased the average age of our cohort, whereas the individuals from which the tonsil samples were obtained were younger on average. In h, a two-sided Wilcoxon rank sum test was used, and P values corrected by Bonferroni correction. r rna-seq single-cell seurat Share 4h). ## [46] scales_1.2.1 mvtnorm_1.1-3 spatstat.random_3.1-3 max per cell ident. SCT_integrated <- FindNeighbors(SCT_integrated, dims = 1:15) No VH or VL chain segments were significantly differentially used between S+ Bm cell subsets. Immunol. Dot plots and medians (right) of frequencies of RBD+ Bm cells at acute infection (n=59) and month 6 (n=61) and 12 post-infection (n=17). In the SARS-CoV-2 Tonsil Cohort and SARS-CoV-2 Vaccination Cohort, cells with fewer than 200 or more than 4,000 detected genes were excluded from the analysis. The frequency of blood S+ Bm cells was approximately fivefold increased post-vaccination at month 12 compared with pre-vaccination at month 6 post-infection (Fig. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Genes such as CD3D and GNLY are canonical cell type markers (for T cells and NK/CD8 T cells) that are virtually unaffected by interferon stimulation and display similar gene expression patterns in the control and stimulated group. How to create a virtual ISO file from /dev/sr0, Adding EV Charger (100A) in secondary panel (100A) fed off main (200A), English version of Russian proverb "The hedgehogs got pricked, cried, but continued to eat the cactus". 6, 748 (2019). | NoLegend | Remove all legend elements | a, Heatmap compares V heavy (VH; left) and VL (right) gene usage in indicated S+ Bm cell subsets and S Bm cells (non-binders) from scRNA-seq data of SARS-CoV-2-infected patients at months 6 and 12 post-infection. Immunol. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Extended Data Fig. 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI. Hi @vertesy , Flow cytometry data were analyzed with FlowJo (version 10.8.0), with gating strategies shown in Extended Data Figs. We also introduce simple functions for common tasks, like subsetting and merging, that mirror standard R functions. Why are these constructs using pre and post-increment undefined behavior? Here, we address a few key goals: For convenience, we distribute this dataset through our SeuratData package. All samples were analyzed by flow cytometry, and paired week 2, month 6 post-second dose and week 2 post-third dose samples from three patients were additionally assessed by scRNA-seq. | SetIdent(object = object, ident.use = "new.idents") | Idents(object = object) <- "new.idents" | 5c). 2d). The integrated assay consists of 3000 features comings from the original integration analysis (so choosed from the whole dataset, and not only from cells of the subset). In addition, since I am not integrating the subset, is it recommended to use the "scale.data" slot in the SCT assay for DE analysis or continue using the "data" slot in the SCT assay for this subset? 351 2 15. Can the game be left in an invalid state if all state-based actions are replaced? ## [22] matrixStats_0.63.0 sandwich_3.0-2 pkgdown_2.0.7 Integrated analysis of multimodal single-cell data. Dimensionality reduction and clustering analysis of flow cytometry data were performed in R using the CATALYST workflow (CATALYST package, version 1.18.1) (ref. Sokal, A. et al. Fourteen cycles (in one case 17) of initial cDNA amplification were used for all sample batches, and single-cell sequencing libraries for whole-transcriptome analysis (GEX), BCR profiling (VDJ) and TotalSeq (BioLegend) barcode detection (ADT) were generated. Antigen-stimulated B cells receiving instructive signals from their interaction with helper CD4+ T cells can further differentiate in the germinal centers (GCs) of secondary lymphoid organs or using an extrafollicular pathway. 9eg) and visualization of Bm cells on the Monocle UMAP space identified two branches, which strongly separated CD21CD27+CD71+ activated and CD21CD27FcRL5+ Bm cells, both branching out from CD21+ resting Bm cells (Fig.

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