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seurat subset multiple conditions

arguments. | GetCellEmbeddings(object = object, reduction.type = "pca") | Embeddings(object = object, reduction = "pca") | 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? Branch lengths represent mutation numbers per site between each node. CAS ## [118] data.table_1.14.8 irlba_2.3.5.1 httpuv_1.6.9 To extend our analyses to SARS-CoV-2-specific Bm cells in the peripheral lymphoid organs, we analyzed paired tonsil and blood samples from a cohort of 16 patients (9 females and 7 males) undergoing tonsillectomy who were exposed to SARS-CoV-2 by infection, vaccination or both. I did SCTransform() workflow, then subset a cluster of interest. Cyster, J. G. & Allen, C. D. C. B cell responses: cell interaction dynamics and decisions. While I did not test the above, I tested running FindVariableFeatures() (or not), and I recommend re-running FindVariableFeatures(). Nave B cell (n=1462 cells), served as reference and are the same as in Fig. Flow cytometry analysis of S+ Bm cells showed an upregulation of Blimp-1 at week 2 post-second dose compared with month 6, and increased expression of T-bet, FcRL5, CD71 and Ki-67 at week 2 post-second dose and post-third dose (Extended Data Fig. 33,34) (Fig. The method is named sctransform, and avoids some of the pitfalls of standard normalization workflows, including the addition of a pseudocount, and log-transformation. The sequencing data have been deposited at Zenodo at https://doi.org/10.5281/zenodo.7064118. Eight patients were vaccinated against SARS-CoV-2 (analyzed on average at day 144 after last vaccination), whereas the other eight patients were considered SARS-CoV-2-recovered based on a history of SARS-CoV-2 infection or positive anti-nucleocapsid (N) serum antibody measurement, with six of them additionally vaccinated against SARS-CoV-2 (assessed on average at day 118 post-last vaccination) (Extended Data Fig. Cell 179, 16361646.e15 (2019). I hope it is useful. In c and g, all P values are shown, in the other graphs adjusted P values are shown if significant (p<0.05). Wang, Z. et al. This scRNA-seq approach detected frequencies of about 30% of RBD+ Bm cells within S+ Bm cells that were comparable to flow cytometry (Extended Data Figs. Notice also that I have to use | as I want to compare each element of bf11 against 1, 2, and 3, in turn. Dugan, H. L. et al. d, Venn diagram displays clonal overlap of SARS-CoV-2-specific clones at months 6 and 12 post-infection. Med. that a certain variable was either 1, 2 or 3. | object@assays$assay.name | object[["assay.name"]] | The ideal workflow is not clear to me and perusing the vignettes and past issues did not clarify it fully. Samples were compared using paired t-test (c) or two-sided Wilcoxon test (f). SCT_integrated <- FindNeighbors(SCT_integrated, dims = 1:15) I want to know: a, Flow cytometry plots show decoy S+ (top) and nucleocapsid (N)+ Bm cells (bottom) in paired tonsil and blood samples of a SARS-CoV-2-vaccinated (CoV-T1; left) and SARS-CoV-2-recovered patient (CoV-T2; right). These data showed that SARS-CoV-2 infection induced a stable CD21+ Bm cell population in the circulation, which continuously matured for more than 6months. A. et al. PubMed Just to demonstrate, a more complicated logical subset would be: And as Chase points out, %in% would be more efficient in your example: As Chase also points out, make sure you understand the difference between | and ||. 8d,e). M.E.R. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Activation dynamics and immunoglobulin evolution of pre-existing and newly generated human memory B cell responses to influenza hemagglutinin. Of these individuals, 35 received one or two doses of SARS-CoV-2 mRNA vaccination between month 6 and month 12, and three subjects were vaccinated between acute infection and month 6 (Supplementary Table 1 and Extended Data Fig. As an aside, your middle two samples with a majority portion of cells with %mitochondrial reads > 10% are rather worrying, as they may largely be dead/dying. Bioinformatics 31, 33563358 (2015). Accessing data in Seurat is simple, using clearly defined accessors and setters to quickly find the data needed. I am also wondering if there is an official recommendation for this task. Semilog line was fitted to data (R2=0.2695). | levels(x = object@idents) | levels(x = object) | Lines connect samples of same individual. Frequencies in g were compared using two-proportions z-test with Bonferronis multiple testing correction. 6c). 6d,e). Can be used to downsample the data to a certain | RestoreLegend | Restores a legend after removal | For full details, please read our tutorial. In Hafemeister and Satija, 2019, we introduced an improved method for the normalization of scRNA-seq, based on regularized negative binomial regression. 2c), and S+ Bm cells underwent strong proliferation during the acute phase (Fig. | RenameIdent(object = object, old.ident.name = "old.ident", new.ident.name = "new.ident") | RenameIdents(object = object, "old.ident" = "new.ident") | What woodwind & brass instruments are most air efficient? Gene sets involved in antigen presentation and integrin-mediated signaling, as well as B cell activation, BCR and IFN- signaling were enriched in CD21CD27FcRL5+ Bm cells compared with other Bm cell subsets (Fig. c, Frequency (median interquartile range) of S+ (left) and N+ (right) GC B cells within total B cells are given in tonsils of SARS-CoV-2-vaccinated and in recovered individuals. Below, we demonstrate how to modify the Seurat integration workflow for datasets that have been normalized with the sctransform workflow. . a, Dot plots and medians of frequencies of S+ Bm cells are provided at baseline (n=10), week 2 post-second dose (n=10) and month 6 post-second dose (n=11). Red line represents fitted second-order polynomial function (R2=0.1932). It only takes a minute to sign up. Developed by Paul Hoffman, Satija Lab and Collaborators. 8 SARS-CoV-2-specific B. Gray slices indicate individual clones found at one timepoint only, whereas persistent clones found at both timepoints are labeled by the same color. Bm cells are colored by cluster (f, left), tissue origin (f, right) or SWT binding (g). Cao, J. et al. 197, 10171022 (2016). | AddMetaData(object = object, metadata = vector, col.name = "name") | object$name <- vector | 6 scRNA-seq analysis of B cells in tonsils and blood. Learn R. Search all packages and functions. ## [11] ifnb.SeuratData_3.1.0 hcabm40k.SeuratData_3.0.0 A minor scale definition: am I missing something? ), Filling the Gap Program of UZH (to M.E.R. VH and V light (VL) genes are indicated on top of dendrograms. USA 104, 97709775 (2007). b, Cohort overview of SARS-CoV-2 Tonsil Cohort. rev2023.4.21.43403. Unexpected uint64 behaviour 0xFFFF'FFFF'FFFF'FFFF - 1 = 0? Finally, we use a t-SNE to visualize our clusters in a two-dimensional space. These circulating resting Bm cells might be able to rapidly respond to antigen rechallenge with the acquisition of different Bm cell fates or they might home to secondary lymphoid and peripheral organs to form a CD69+ tissue-resident Bm cells. IFN induces epigenetic programming of human T-bethi B cells and promotes TLR7/8 and IL-21 induced differentiation. B cell populations were identified using a WNN clustering and subsequent manual assignment. The antibodies used are listed in Supplementary Tables 5 and 7. I.E.A. 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. Resulting scores were used to compute fold changes and significance levels for enrichment score comparisons between cell subsets in limma (v3.50.3) (ref. But as you can see, %in% is far more useful and less verbose in such circumstances. Takes either a list of cells to use as a subset, or a parameter (for example, a gene), to subset on. Tan, H. X. et al. Long-lived plasma cells can continuously secrete high-affinity antibodies that are protective against a homologous pathogen7, whereas Bm cells encode a broader repertoire which allows protection against variants of the initial pathogen after restimulation8. Article Seurat (version 3.1.4) ## loaded via a namespace (and not attached): ## [1] systemfonts_1.0.4 sn_2.1.0 plyr_1.8.8, ## [4] igraph_1.4.1 lazyeval_0.2.2 sp_1.6-0, ## [7] splines_4.2.0 listenv_0.9.0 scattermore_0.8, ## [10] qqconf_1.3.1 TH.data_1.1-1 digest_0.6.31, ## [13] htmltools_0.5.4 fansi_1.0.4 magrittr_2.0.3, ## [16] memoise_2.0.1 tensor_1.5 cluster_2.1.3, ## [19] ROCR_1.0-11 limma_3.54.1 globals_0.16.2, ## [22] matrixStats_0.63.0 sandwich_3.0-2 pkgdown_2.0.7, ## [25] spatstat.sparse_3.0-0 colorspace_2.1-0 rappdirs_0.3.3, ## [28] ggrepel_0.9.3 rbibutils_2.2.13 textshaping_0.3.6, ## [31] xfun_0.37 dplyr_1.1.0 crayon_1.5.2, ## [34] jsonlite_1.8.4 progressr_0.13.0 spatstat.data_3.0-0, ## [37] survival_3.3-1 zoo_1.8-11 glue_1.6.2, ## [40] polyclip_1.10-4 gtable_0.3.1 leiden_0.4.3, ## [43] future.apply_1.10.0 BiocGenerics_0.44.0 abind_1.4-5, ## [46] scales_1.2.1 mvtnorm_1.1-3 spatstat.random_3.1-3, ## [49] miniUI_0.1.1.1 Rcpp_1.0.10 plotrix_3.8-2, ## [52] metap_1.8 viridisLite_0.4.1 xtable_1.8-4, ## [55] reticulate_1.28 stats4_4.2.0 htmlwidgets_1.6.1, ## [58] httr_1.4.5 RColorBrewer_1.1-3 TFisher_0.2.0, ## [61] ellipsis_0.3.2 ica_1.0-3 farver_2.1.1, ## [64] pkgconfig_2.0.3 sass_0.4.5 uwot_0.1.14, ## [67] deldir_1.0-6 utf8_1.2.3 tidyselect_1.2.0, ## [70] labeling_0.4.2 rlang_1.0.6 reshape2_1.4.4, ## [73] later_1.3.0 munsell_0.5.0 tools_4.2.0, ## [76] cachem_1.0.7 cli_3.6.0 generics_0.1.3, ## [79] mathjaxr_1.6-0 ggridges_0.5.4 evaluate_0.20, ## [82] stringr_1.5.0 fastmap_1.1.1 yaml_2.3.7, ## [85] ragg_1.2.5 goftest_1.2-3 knitr_1.42, ## [88] fs_1.6.1 fitdistrplus_1.1-8 purrr_1.0.1, ## [91] RANN_2.6.1 pbapply_1.7-0 future_1.31.0, ## [94] nlme_3.1-157 mime_0.12 formatR_1.14, ## [97] compiler_4.2.0 plotly_4.10.1 png_0.1-8, ## [100] spatstat.utils_3.0-1 tibble_3.1.8 bslib_0.4.2, ## [103] stringi_1.7.12 highr_0.10 desc_1.4.2, ## [106] lattice_0.20-45 Matrix_1.5-3 multtest_2.54.0, ## [109] vctrs_0.5.2 mutoss_0.1-12 pillar_1.8.1, ## [112] lifecycle_1.0.3 Rdpack_2.4 spatstat.geom_3.0-6, ## [115] lmtest_0.9-40 jquerylib_0.1.4 RcppAnnoy_0.0.20, ## [118] data.table_1.14.8 irlba_2.3.5.1 httpuv_1.6.9, ## [121] R6_2.5.1 promises_1.2.0.1 KernSmooth_2.23-20, ## [124] gridExtra_2.3 parallelly_1.34.0 codetools_0.2-18, ## [127] MASS_7.3-56 rprojroot_2.0.3 withr_2.5.0, ## [130] mnormt_2.1.1 sctransform_0.3.5 multcomp_1.4-22, ## [133] parallel_4.2.0 grid_4.2.0 tidyr_1.3.0, ## [136] rmarkdown_2.20 Rtsne_0.16 spatstat.explore_3.0-6, ## [139] Biobase_2.58.0 numDeriv_2016.8-1.1 shiny_1.7.4, Fast integration using reciprocal PCA (RPCA), Integrating scRNA-seq and scATAC-seq data, Demultiplexing with hashtag oligos (HTOs), Interoperability between single-cell object formats, Create an integrated data assay for downstream analysis, Identify cell types that are present in both datasets, Obtain cell type markers that are conserved in both control and stimulated cells, Compare the datasets to find cell-type specific responses to stimulation, When running sctransform-based workflows, including integration, do not run the. Google Scholar. 3 Identification of SARS-CoV-2 S, Extended Data Fig. Immunity 53, 11361150 (2020). Jordan. All plotting functions will return a ggplot2 plot by default, allowing easy customization with ggplot2. Keller, B. et al. During acute infection S+ CD21CD27+ Bm cells and CD21CD27 Bm cells represented on average 48.1% and 16.4% of total S+ Bm cells, respectively, and they strongly declined at month 6 (6.3% and 5.3%) and month 12 (3.7% and 6.6%) post-infection (Fig. The text was updated successfully, but these errors were encountered: @attal-kush I hope its okay to piggyback of your question. Sci. J. Clin. GSEA was performed on this preranked list using the R package fgsea (v.1.2). The same positive control from a SARS-CoV-2-vaccinated healthy control was included in every experiment to ensure consistent results. Cells were sorted on a FACS Aria III 4L sorter using the FACS Diva software. 6g and Extended Data Fig. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Analysis of differentially expressed genes indicated that CD21CD27FcRL5+ B cells were the most distinctive subset and had high expression of TBX21 (encoding T-bet), T-bet-driven genes ZEB2 and ITGAX (encoding CD11c), and TOX (Fig. So, my here is my workflow: Seurat has a vast, ggplot2-based plotting library. We also introduce simple functions for common tasks, like subsetting and merging, that mirror standard R functions. Not the answer you're looking for? I have tried several approaches before and i think they may be helpful: did the Seurat team ever respond to this..? ), BRCCH-EDCTP COVID-19 initiative (to A.E.M.) BCR diversity was slightly reduced in S+ CD21CD27FcRL5+ compared with S+ CD21+ resting Bm cells (Extended Data Fig. Immunity 55, 945964 (2022). Very few S+ tonsillar Bm cells expressed FcRL4 in both vaccinated and recovered individuals (Extended Data Fig. object, Does it look right? 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. ## [85] ragg_1.2.5 goftest_1.2-3 knitr_1.42 Unless a gene is not expressed (n-reads) at 1/p* try to forget about it just like a bad day (p* being the relative mean gene expression taking into account cDNA library construction efficiency, which in the case of 10x is 15%, or 1/p* = 1/0.15 7 reads/cell/gene).

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seurat subset multiple conditions