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Image Search Results
Journal: Cell
Article Title: Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
doi: 10.1016/j.cell.2019.09.035
Figure Lengend Snippet: Single-Cell Survey Reveals Heterogeneity of cDC2s with Two Subsets Delineated by Expression of T-Bet (A) Representative contour plot showing gating strategy for splenic DCs in Tbx21 RFP-Cre mice. DCs defined as Lin(CD3,CD19,CD49b,Siglec-F) – Ly6C – CD64 – CD11c + MHCII + . (B) Frequency of T-bet + cDC2s across tissues. Each circle represents one mouse. In the peripheral and mesenteric LN (PLN and MLN), migratory DCs were defined as MHCII hi CD11c int and resident DCs as MHCII int CD11c hi . Error bars represent mean ± SEM. (C) Analysis of RFP + and YFP + splenic cDC2s from Tbx21 RFP-CreERT2 Rosa26 YFP mice, 3 days post tamoxifen gavage. (D) Percent RFP + and YFP + of cDC2 cells. Percent RFP + of YFP + cDC2s at indicated time points post tamoxifen gavage (right). Error bars represent mean ± SEM; n = 3–4 mice per time point. (E) t-SNE embedding of 4,464 DCs. Colors indicate unsupervised clustering by Phenograph (left panel) or classification based on expression of canonical markers (right panel). (F) Expression of canonical DC markers across the transcriptionally defined DC clusters from (E). (G) Proportion of T-bet (RFP + ) cells in each cell cluster identified in (D). (H) Violin plot showing expression of the cell-cycle signature across the DC clusters from (E). (I) Similarity of bulk T-bet – cDC2s, T-bet + cDC2, and cDC1 transcriptomes to the reference single-cell DC clusters (E). Colors represent the correlation coefficient between the cell population identified in the row label and the DC cluster identified by the column label. See also and .
Article Snippet:
Techniques: Expressing
Figure 1 A. Representative histogram showing expression of T-bet (RFP) in splenic cells from Tbx21 RFP-cre mice. (B). Expression of T-bet in CD11b + XCR1 + DCs from the intestinal lamina propria. Data representative of > 5 independent experiments, with at least 3 mice per experiment. (C). Expression of T-bet in splenic myeloid cells. Cells were defined as: (i) Ly-6C hi monocytes (Lin – Ly6C + Ly6G – CD11b + CX3CR1 + ); neutrophils (Lin – Ly6C + Ly6G + ); macrophages (Lin – CD64 + Ly6C – ). Lineages (Lin) were defined as: CD3e, CD90.2, CD19, CD49b and Siglec F. Each circle represents an individual mouse, error bars represent mean ± SEM. (D). Left: Gating strategy for single-cell sorting. DCs were defined as Lin(CD3, CD19, CD90) – Ly6C – CD64 – CD11c + MHCII + . Two populations were sampled: RFP + DCs and RFP – DCs (encompassing XCR1 + cDC1s, CD11b + RFP – and CD11b – XCR1 – DCs). Right: Post-sort purity of RFP + and RFP – cells. Contaminating population of Ly6C + cells identifiable on post-sort purity (lower panel). (E). Similarity of splenic CD11c + MHCII + cells to reference myeloid cells (ImmGen Consortium) Colors represent the Pearson correlation between the mean gene expression from the dendritic cell cluster in the rows and the bulk reference transcriptome in the columns. (F). Top 20 positive and negative gene loadings of PC1 for T-bet + cDC2 clusters after cell-cycle correction (left panel). Scatterplot of PC1 and PC2 for T-bet + cDC2 clusters after cell-cycle correction (right panel)." width="100%" height="100%">
Journal: Cell
Article Title: Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
doi: 10.1016/j.cell.2019.09.035
Figure Lengend Snippet: Single-Cell Survey Reveals Heterogeneity of cDC2s, Related to
Article Snippet:
Techniques: Expressing, FACS, Gene Expression
Figure 5 (A). Gating strategy for the identification of DC progenitors in the bone marrow (BM) (B). Palantir pseudo-time analysis of differentiation potential and branch probabilities from the Siglec-H + pre-DC state to T-bet + cDC2 and T-bet – cDC2 terminal states. (C). Plots showing Palantir differentiation potential (y axis) along Palantir pseudo-time (x axis) for Siglec-H + DC and T-bet + cDC2s (top) or Siglec-H + DC and T-bet – cDC2 clusters (bottom) (D). Plots showing the top two diffusion component embeddings for Siglec-H + DC and T-bet + cDC2 clusters (top) or Siglec-H + DC and Tbet – cDC2 clusters (bottom). Black arrow indicates Siglec-H + DC cluster cells adjacent to cells from the proliferative T-bet + cDC2 clusters 6 and 8. (E). Top panel: plots showing probability of each cell being within 20 nearest neighbors of randomly sampled shortest paths from the Siglec-H + DC to the indicated end points. Middle panel: plots showing the proportion of cells belonging to Siglec-H + DC, T-bet + cDC2, or T-bet – cDC2 from 20 nearest neighbors of randomly sampled shortest paths. Bottom: plots showing diffusion distance step sizes for each step along the indicated shortest paths (bottom panel). Colors illustrate cluster membership. (F). Graph showing AUC (x axis) for genes differentially expressed between Siglec-H + DC cluster (cluster 11) and all other cDC2 clusters. EMD on the y axis. Dashed lines represents μ EMD ± 3σ EMD . (G). Gating strategy for FACS-isolation of MHCII + ILC3s: Lin = CD3, CD19, CD49b, Siglec-F. (H). Heatmap reports scaled expression of 3550 differentially expressed genes (log 2 FC > 1, FDR < 0.01) between ILC3s and Rorγt fm cDC2s. Selected genes listed to the right. (I). Representative flow cytometric analysis of phenotypes of splenic progeny from Tbx21 RFP-cre CD45.2 + Ly6C − CD64 – MHCII + CD11c + Siglec-H + pre-DCs adoptively transferred into sub-lethally irradiated CD45.1 recipient mice 7 days earlier (data from one experiment with n = 3). J. Sort purified T-bet + or T-bet – cDC2 were cultured for 24hrs in the presence of LPS, CpG, TNF-α or IFN−γ. Representative overlay histogram showing the expression of RFP(T-bet) at 24hrs. Data representative of 2 (TNF-α) or 4 (all other cytokines/TLR agonists) independent experiments, n = 2-3." width="100%" height="100%">
Journal: Cell
Article Title: Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
doi: 10.1016/j.cell.2019.09.035
Figure Lengend Snippet: Environmental Cues Drive Distinct DC2 Differentiation Pathways within the Spleen, Related to
Article Snippet:
Techniques: Diffusion-based Assay, Isolation, Expressing, Irradiation, Purification, Cell Culture
Figure 7 (A). Violin plots showing expression distribution of mouse DC subset marker genes across human peripheral blood DC and monocyte clusters identified in Journal: Cell
Article Title: Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
doi: 10.1016/j.cell.2019.09.035
Figure Lengend Snippet: Human DC Heterogeneity, Related to
Article Snippet:
Techniques: Expressing, Marker, Isolation, Flow Cytometry, Quantitative Proteomics, RNA Sequencing, Purification, Transformation Assay, Labeling
Journal: Cell
Article Title: Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
doi: 10.1016/j.cell.2019.09.035
Figure Lengend Snippet:
Article Snippet:
Techniques: Recombinant, Staining, Multiplex Assay, Cell Isolation, Gene Expression, Software
Journal: Journal of medicinal chemistry
Article Title: Aryl Trehalose Derivatives as Vaccine Adjuvants for Mycobacterium tuberculosis
doi: 10.1021/acs.jmedchem.9b01598
Figure Lengend Snippet: Induction of IL-17 producing CD4+ T cells from UM1024 adjuvanted M72 vaccine. BALB/c mice, 10 per group, were immunized two times i.m. with 0.1 μg antigen plus 2, 10 or 50 nmol of the indicated adjuvant. Spleens were harvested from 3 mice per group at 5 days post-secondary vaccination. Splenocytes were restimulated with 1 μg whole antigen and transport inhibitors followed by surface staining for CD3, CD4 and CD8 and intracellular cytokine staining for IL-17A. Data represent percentage of live, CD3+/CD4+ cells that are also positive for IL-17A upon antigen restimulation.
Article Snippet: Following incubation, cells were stained with the cell surface antibodies against CD3e PerCP-Cy5.5 (Tonbo Biosciences, 145–2C11), CD4a APC-Cy7 (Tonbo Biosciences, RM4–5) and
Techniques: Adjuvant, Staining
Journal: Cell reports
Article Title: TCF1 and LEF1 Control Treg Competitive Survival and Tfr Development to Prevent Autoimmune Diseases
doi: 10.1016/j.celrep.2019.05.061
Figure Lengend Snippet: (A) Schematic diagram of experimental settings. (B) Representative histograms of cell trace violet (CTV) dilution in indicated groups (left) and statistical data of Treg-mediated suppression on Tresp cells (right). (C) Representative histograms of CD80 expression in DCs in indicated groups (top) and statistical data of Treg-mediated suppression on CD80 expression at indicated ratios (bottom). (D) Representative histograms of CD86 expression in DCs in indicated groups (top) and statistical data of Treg-mediated suppression on CD86 expression at indicated ratios (bottom). (E) Representative histograms of CTLA4 expression in DCs in WT (left) and dKO Tregs and statistical data (right). The data are representative of n = 2 independent experiments with pooled n = 3 mice in each group. Shown are mean ± SEM. *p < 0.05; **p < 0.01; n.s., non-significant (two-tailed unpaired Student’s t test). See also .
Article Snippet:
Techniques: Expressing, Two Tailed Test
Journal: Cell reports
Article Title: TCF1 and LEF1 Control Treg Competitive Survival and Tfr Development to Prevent Autoimmune Diseases
doi: 10.1016/j.celrep.2019.05.061
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet:
Techniques: Virus, Plasmid Preparation, Recombinant, Staining, Flow Cytometry, Enzyme-linked Immunosorbent Assay, Diagnostic Assay, Software, Extraction, Gene Expression