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hv68 strain wums  (ATCC)


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    Structured Review

    ATCC hv68 strain wums
    Hv68 Strain Wums, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 137 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hv68+strain+wums/Murid+herpesvirus+4/10__1128_slash_jvi__00307___19-207-0-3
    Average 94 stars, based on 137 article reviews
    hv68 strain wums - by Bioz Stars, 2026-10
    94/100 stars

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    Related Articles

    Virus:

    Article Title: An Optimized CD8 + T-Cell Response Controls Productive and Latent Gammaherpesvirus Infection
    Article Snippet: .. HV68 strain WUMS (ATCC VR-1465) was used as wild-type virus for all experiments or as the parent of recombinant viruses, as described below. ..

    Article Title: Role of B-Cell Proliferation in the Establishment of Gammaherpesvirus Latency
    Article Snippet: .. HV68 strain WUMS (ATCC VR-1465) was used for all wild-type virus infections. ..

    Recombinant:

    Article Title: An Optimized CD8 + T-Cell Response Controls Productive and Latent Gammaherpesvirus Infection
    Article Snippet: .. HV68 strain WUMS (ATCC VR-1465) was used as wild-type virus for all experiments or as the parent of recombinant viruses, as described below. ..

    Isolation:

    Article Title: A Human Gain-of-Function STING Mutation Causes Immunodeficiency and Gammaherpesvirus-Induced Pulmonary Fibrosis in Mice
    Article Snippet: .. The HV68 strain WUMS (ATCC VR1465) was originally isolated from the organs of a bank vole 339 in Czechoslovakia in 1976 (58). .. The HV68 strain was passaged and viral titers measured by infectious 340 plaque assay in 3T12 cells (ATCC CCL-164).

    Derivative Assay:

    Article Title: Gammaherpesvirus Small Noncoding RNAs Are Bifunctional Elements That Regulate Infection and Contribute to Virulence In Vivo
    Article Snippet: .. All viruses and recombinants were derived from HV68 strain WUMS (ATCC VR-1465) (44) by using either BACderived WT HV68 (29) or HV68.ORF73 la (referred to subsequently as HV68. la) (30). ..



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    ATCC hv68 strain wums
    Hv68 Strain Wums, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hv68+strain+wums/Murid+herpesvirus+4/10__1128_slash_jvi__00307___19-207-0-3
    Average 94 stars, based on 1 article reviews
    hv68 strain wums - by Bioz Stars, 2026-10
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    ATCC wt γ hv68
    Mass cytometric analysis of cells recovered from lungs (A,C,E) or colons (B,D,F) of <t>γ</t> <t>HV68</t> infected B6 or IL10KO mice harvested at 9 dpi. Files were normalized and gated on viable, single CD45+ cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 89 CD45+) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A, B) PhenoGraph analysis of CD45+ cells from (A) lungs or (B) colons of γ HV68 infected B6 or IL10KO mice. Clustering was done on 4,344 events per file (34,752 total), with clustering in the lung based on 34 markers (29 clusters identified, ) and clustering in the colon based on 36 markers (20 clusters identified, ); lungs and colons were harvested from separate cohorts. PhenoGraph-defined clusters are colored according to cluster ID. (C,D) Definition of cellular phenotypes across PhenoGraph-defined clusters, according to the indicated lineage markers, with distinct cell types given unique colors. “CD45+ MHC II+” and “CD45+ MHC II-” clusters were defined by exclusion from other phenotypes. (E,F) Identification of clusters with statistically significant differences in frequency between B6 and IL10KO infected (E) lungs and (F) colons, showing cluster frequencies (left panel) and expression for the identified parameters within the identified cluster (right panel). In the right panel of E, plotted events are CD4+ T cells identified in panel C. In the right panel of F, plotted events are the dominant CD64+ cell clusters identified in panel D. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data are from γ HV68 infected B6 and IL10KO lungs (n=4 mice per genotype) and colons (n=4 mice per genotype) harvested 9 dpi. Data depict mean ± SEM with individual symbols indicating values from independent samples. All samples were analyzed for statistical significance using unpaired t tests, corrected for multiple comparisons using the Holm-Sidak method, with statistical significance denoted as * p<0.05, ** p<0.01, ***p<0.001.
    Wt γ Hv68, supplied by ATCC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hv68+strain+wums/Murid+herpesvirus+4%3B+Strain%3A+WUMS/bio_rxiv__490789-30-4-9
    Average 90 stars, based on 1 article reviews
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    ATCC hv68 wums strain
    Mass cytometric analysis of cells recovered from lungs (A,C,E) or colons (B,D,F) of <t>γ</t> <t>HV68</t> infected B6 or IL10KO mice harvested at 9 dpi. Files were normalized and gated on viable, single CD45+ cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 89 CD45+) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A, B) PhenoGraph analysis of CD45+ cells from (A) lungs or (B) colons of γ HV68 infected B6 or IL10KO mice. Clustering was done on 4,344 events per file (34,752 total), with clustering in the lung based on 34 markers (29 clusters identified, ) and clustering in the colon based on 36 markers (20 clusters identified, ); lungs and colons were harvested from separate cohorts. PhenoGraph-defined clusters are colored according to cluster ID. (C,D) Definition of cellular phenotypes across PhenoGraph-defined clusters, according to the indicated lineage markers, with distinct cell types given unique colors. “CD45+ MHC II+” and “CD45+ MHC II-” clusters were defined by exclusion from other phenotypes. (E,F) Identification of clusters with statistically significant differences in frequency between B6 and IL10KO infected (E) lungs and (F) colons, showing cluster frequencies (left panel) and expression for the identified parameters within the identified cluster (right panel). In the right panel of E, plotted events are CD4+ T cells identified in panel C. In the right panel of F, plotted events are the dominant CD64+ cell clusters identified in panel D. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data are from γ HV68 infected B6 and IL10KO lungs (n=4 mice per genotype) and colons (n=4 mice per genotype) harvested 9 dpi. Data depict mean ± SEM with individual symbols indicating values from independent samples. All samples were analyzed for statistical significance using unpaired t tests, corrected for multiple comparisons using the Holm-Sidak method, with statistical significance denoted as * p<0.05, ** p<0.01, ***p<0.001.
    Hv68 Wums Strain, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hv68+strain+wums/Murid+herpesvirus+4/pm12667789-173-0-3
    Average 94 stars, based on 1 article reviews
    hv68 wums strain - by Bioz Stars, 2026-10
    94/100 stars
      Buy from Supplier

    Image Search Results


    Mass cytometric analysis of cells recovered from lungs (A,C,E) or colons (B,D,F) of γ HV68 infected B6 or IL10KO mice harvested at 9 dpi. Files were normalized and gated on viable, single CD45+ cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 89 CD45+) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A, B) PhenoGraph analysis of CD45+ cells from (A) lungs or (B) colons of γ HV68 infected B6 or IL10KO mice. Clustering was done on 4,344 events per file (34,752 total), with clustering in the lung based on 34 markers (29 clusters identified, ) and clustering in the colon based on 36 markers (20 clusters identified, ); lungs and colons were harvested from separate cohorts. PhenoGraph-defined clusters are colored according to cluster ID. (C,D) Definition of cellular phenotypes across PhenoGraph-defined clusters, according to the indicated lineage markers, with distinct cell types given unique colors. “CD45+ MHC II+” and “CD45+ MHC II-” clusters were defined by exclusion from other phenotypes. (E,F) Identification of clusters with statistically significant differences in frequency between B6 and IL10KO infected (E) lungs and (F) colons, showing cluster frequencies (left panel) and expression for the identified parameters within the identified cluster (right panel). In the right panel of E, plotted events are CD4+ T cells identified in panel C. In the right panel of F, plotted events are the dominant CD64+ cell clusters identified in panel D. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data are from γ HV68 infected B6 and IL10KO lungs (n=4 mice per genotype) and colons (n=4 mice per genotype) harvested 9 dpi. Data depict mean ± SEM with individual symbols indicating values from independent samples. All samples were analyzed for statistical significance using unpaired t tests, corrected for multiple comparisons using the Holm-Sidak method, with statistical significance denoted as * p<0.05, ** p<0.01, ***p<0.001.

    Journal: bioRxiv

    Article Title: High-dimensional characterization of IL-10 production and IL-10 dependent regulation during primary gammaherpesvirus infection

    doi: 10.1101/490789

    Figure Lengend Snippet: Mass cytometric analysis of cells recovered from lungs (A,C,E) or colons (B,D,F) of γ HV68 infected B6 or IL10KO mice harvested at 9 dpi. Files were normalized and gated on viable, single CD45+ cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 89 CD45+) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A, B) PhenoGraph analysis of CD45+ cells from (A) lungs or (B) colons of γ HV68 infected B6 or IL10KO mice. Clustering was done on 4,344 events per file (34,752 total), with clustering in the lung based on 34 markers (29 clusters identified, ) and clustering in the colon based on 36 markers (20 clusters identified, ); lungs and colons were harvested from separate cohorts. PhenoGraph-defined clusters are colored according to cluster ID. (C,D) Definition of cellular phenotypes across PhenoGraph-defined clusters, according to the indicated lineage markers, with distinct cell types given unique colors. “CD45+ MHC II+” and “CD45+ MHC II-” clusters were defined by exclusion from other phenotypes. (E,F) Identification of clusters with statistically significant differences in frequency between B6 and IL10KO infected (E) lungs and (F) colons, showing cluster frequencies (left panel) and expression for the identified parameters within the identified cluster (right panel). In the right panel of E, plotted events are CD4+ T cells identified in panel C. In the right panel of F, plotted events are the dominant CD64+ cell clusters identified in panel D. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data are from γ HV68 infected B6 and IL10KO lungs (n=4 mice per genotype) and colons (n=4 mice per genotype) harvested 9 dpi. Data depict mean ± SEM with individual symbols indicating values from independent samples. All samples were analyzed for statistical significance using unpaired t tests, corrected for multiple comparisons using the Holm-Sidak method, with statistical significance denoted as * p<0.05, ** p<0.01, ***p<0.001.

    Article Snippet: Mice were infected with WT γ HV68 (strain WUMS, ATCC VR-1465) , using either bacterial artificial chromosome (BAC)-derived WT γ HV68 ( ) or WT γ HV68.ORF73 β la, which encodes a fusion between ORF73 and the beta-lactamase gene ( ). γ HV68 was grown and titered by plaque assay on NIH 3T12 fibroblasts as previously published ( ).

    Techniques: Infection, Expressing

    Mass cytometric analysis of cells recovered from the lungs of γ HV68 infected C57BL/6J (B6) mice at 9 dpi, subjected to intracellular cytokine staining (ICCS) analysis, using a 35 antibody panel . Data were gated on viable CD4 T cells, defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-events, where numbers indicate isotopic mass for each measured parameter. (A) Analysis of IFN γ and TNF α production from CD4 T cells subjected to pharmacologic stimulation with PMA and ionomycin. The mean ± SEM for each population is identified in each quadrant. Events in each quadrant were further analyzed using the PhenoGraph algorithm and plotted using the tSNE dimensionality reduction algorithm. Events were imported into PhenoGraph and clustered on 8,320 events total and 30 markers (clustering parameters identified in ). In total, 16 clusters were identified, with clusters colored by cluster ID and displayed on tSNE plots. (B) Distribution of PhenoGraph-defined clusters within CD4 T cells, stratified by expression of IFN γ and TNF α . Each pie chart is subdivided into clusters that are equally represented in IFN γ - and IFN γ + CD4 T cells (shades of gray), clusters that are enriched in IFN γ -CD4 T cells (pastel colors), clusters that are enriched only in cytokine producing CD4 T cells (black), and clusters that are enriched in IFN γ + CD4 T cells (saturated colors) as defined in the key. Right panel shows events depicted using tSNE, where each cluster is colored according to the cytokine profile subsets (see key). (C) Phenotypic marker expression (in columns) of PhenoGraph-defined clusters (in rows), stratified by their enrichment as a function of cytokine profile. Clusters are stratified as in panel B. Data are from virally infected B6 lungs (n=4 mice) harvested 9 dpi, with cells stimulated with PMA and ionomycin for five hours prior to antibody staining.

    Journal: bioRxiv

    Article Title: High-dimensional characterization of IL-10 production and IL-10 dependent regulation during primary gammaherpesvirus infection

    doi: 10.1101/490789

    Figure Lengend Snippet: Mass cytometric analysis of cells recovered from the lungs of γ HV68 infected C57BL/6J (B6) mice at 9 dpi, subjected to intracellular cytokine staining (ICCS) analysis, using a 35 antibody panel . Data were gated on viable CD4 T cells, defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-events, where numbers indicate isotopic mass for each measured parameter. (A) Analysis of IFN γ and TNF α production from CD4 T cells subjected to pharmacologic stimulation with PMA and ionomycin. The mean ± SEM for each population is identified in each quadrant. Events in each quadrant were further analyzed using the PhenoGraph algorithm and plotted using the tSNE dimensionality reduction algorithm. Events were imported into PhenoGraph and clustered on 8,320 events total and 30 markers (clustering parameters identified in ). In total, 16 clusters were identified, with clusters colored by cluster ID and displayed on tSNE plots. (B) Distribution of PhenoGraph-defined clusters within CD4 T cells, stratified by expression of IFN γ and TNF α . Each pie chart is subdivided into clusters that are equally represented in IFN γ - and IFN γ + CD4 T cells (shades of gray), clusters that are enriched in IFN γ -CD4 T cells (pastel colors), clusters that are enriched only in cytokine producing CD4 T cells (black), and clusters that are enriched in IFN γ + CD4 T cells (saturated colors) as defined in the key. Right panel shows events depicted using tSNE, where each cluster is colored according to the cytokine profile subsets (see key). (C) Phenotypic marker expression (in columns) of PhenoGraph-defined clusters (in rows), stratified by their enrichment as a function of cytokine profile. Clusters are stratified as in panel B. Data are from virally infected B6 lungs (n=4 mice) harvested 9 dpi, with cells stimulated with PMA and ionomycin for five hours prior to antibody staining.

    Article Snippet: Mice were infected with WT γ HV68 (strain WUMS, ATCC VR-1465) , using either bacterial artificial chromosome (BAC)-derived WT γ HV68 ( ) or WT γ HV68.ORF73 β la, which encodes a fusion between ORF73 and the beta-lactamase gene ( ). γ HV68 was grown and titered by plaque assay on NIH 3T12 fibroblasts as previously published ( ).

    Techniques: Infection, Staining, Expressing, Marker

    Mass cytometric analysis of cells recovered from IL10gfp mice, comparing CD4 T cell phenotypes between the spleens of anti-CD3 antibody injected mice with the lungs of γ HV68 infected mice harvested at 6 dpi. Files were normalized and gated on viable, CD4+ T cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 209 MHC II-) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A) PhenoGraph analysis of CD4 T cells, comparing anti-CD3 antibody injected versus γ HV68 infected samples (75,483 events total, clustered on 33 markers, excluding CD3, CD4, and MHC II, ), identified 20 unique clusters, each denoted with a distinct color. (B) PhenoGraph-defined CD4 T cell clusters were ranked based on IL10gfp expression, with 5 clusters having higher than average IL10gfp expression identified in red text. Figure insets depict all events from panel A, colored according to (left panel) IL10gfp expression, or (right panel) cluster ID for 5 IL10gfp+ clusters. (C) The frequencies of CD4 T cell clusters are shown for both conditions, with focused analysis on the distribution of IL10gfp+ clusters identified by shaded gray extensions and pie charts on either side. Pie charts denote the frequencies of IL10gfp+ events in each condition, with pie charts sized according to the relative number of IL10gfp+ events present in each condition. (D) Comparison of median protein expression within IL10gfp+ CD4 T cell clusters in either anti-CD3 antibody injected spleens and/or γ HV68 infected lungs. Cellular markers are ordered by range in median expression between clusters, from greatest to least in value. Data are from IL10gfp mice, using either spleens from mice that were injected with an anti-CD3 antibody (injected with antibody at 0 and 46 hours, with harvest at 50 hours, n=4 mice) or lungs from γ HV68 infected (n=5 mice) harvested at 6 dpi.

    Journal: bioRxiv

    Article Title: High-dimensional characterization of IL-10 production and IL-10 dependent regulation during primary gammaherpesvirus infection

    doi: 10.1101/490789

    Figure Lengend Snippet: Mass cytometric analysis of cells recovered from IL10gfp mice, comparing CD4 T cell phenotypes between the spleens of anti-CD3 antibody injected mice with the lungs of γ HV68 infected mice harvested at 6 dpi. Files were normalized and gated on viable, CD4+ T cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 209 MHC II-) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A) PhenoGraph analysis of CD4 T cells, comparing anti-CD3 antibody injected versus γ HV68 infected samples (75,483 events total, clustered on 33 markers, excluding CD3, CD4, and MHC II, ), identified 20 unique clusters, each denoted with a distinct color. (B) PhenoGraph-defined CD4 T cell clusters were ranked based on IL10gfp expression, with 5 clusters having higher than average IL10gfp expression identified in red text. Figure insets depict all events from panel A, colored according to (left panel) IL10gfp expression, or (right panel) cluster ID for 5 IL10gfp+ clusters. (C) The frequencies of CD4 T cell clusters are shown for both conditions, with focused analysis on the distribution of IL10gfp+ clusters identified by shaded gray extensions and pie charts on either side. Pie charts denote the frequencies of IL10gfp+ events in each condition, with pie charts sized according to the relative number of IL10gfp+ events present in each condition. (D) Comparison of median protein expression within IL10gfp+ CD4 T cell clusters in either anti-CD3 antibody injected spleens and/or γ HV68 infected lungs. Cellular markers are ordered by range in median expression between clusters, from greatest to least in value. Data are from IL10gfp mice, using either spleens from mice that were injected with an anti-CD3 antibody (injected with antibody at 0 and 46 hours, with harvest at 50 hours, n=4 mice) or lungs from γ HV68 infected (n=5 mice) harvested at 6 dpi.

    Article Snippet: Mice were infected with WT γ HV68 (strain WUMS, ATCC VR-1465) , using either bacterial artificial chromosome (BAC)-derived WT γ HV68 ( ) or WT γ HV68.ORF73 β la, which encodes a fusion between ORF73 and the beta-lactamase gene ( ). γ HV68 was grown and titered by plaque assay on NIH 3T12 fibroblasts as previously published ( ).

    Techniques: Injection, Infection, Expressing, Comparison

    Mass cytometric analysis of cells recovered from lungs of γ HV68 infected B6 or IL10KO mice harvested at 9 dpi, with cells subjected to pharmacologic stimulation for intracellular cytokine staining analysis (ICCS), using a 35 antibody panel . Files were normalized, with data gated on viable CD4 T cells, defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-events, where numbers indicate isotopic mass for each measured parameter. (A) CD4 T cells were imported into PhenoGraph and clustered on 33,022 total events (3,669 events from each file) and 32 markers (excluding CD3, CD4, and MHC II, ), identifying 16 unique clusters portrayed on a tSNE plot. (B) All events from panel A are colored by CD44, IFN γ , TNF α , and IL-10 expression. (C) Events from panel A colored based on their cytokine profile, stratified based on IFN γ , TNF α , and IL-10 expression. (D) Frequency of CD4 T cells in virally-infected B6 and IL10KO mice. (E) Comparison of CTLA-4, GITR, ICOS, Lag3, and PD-1 expression across CD4 T cells from B6 (top row) or IL10KO (bottom row) mice, where IFN γ + TNF α + CD4 T cells were identified by a green boundary line. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data from virally infected lungs of B6 (n=4) and IL10KO (n= 5) mice harvested 9 dpi, with cells stimulated with PMA and ionomycin for five hours prior to ICCS. Data for B6 mice were also included in , subjected to different clustering parameters (as outlined in ). Data show mean ± SEM with individual symbols denoting individual mice, with statistical analysis done by unpaired t test, corrected for multiple comparisons using the Holm-Sidak method. Statistical significance denoted by **, p<0.01 and ***, p<0.001. ns, not significant.

    Journal: bioRxiv

    Article Title: High-dimensional characterization of IL-10 production and IL-10 dependent regulation during primary gammaherpesvirus infection

    doi: 10.1101/490789

    Figure Lengend Snippet: Mass cytometric analysis of cells recovered from lungs of γ HV68 infected B6 or IL10KO mice harvested at 9 dpi, with cells subjected to pharmacologic stimulation for intracellular cytokine staining analysis (ICCS), using a 35 antibody panel . Files were normalized, with data gated on viable CD4 T cells, defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-events, where numbers indicate isotopic mass for each measured parameter. (A) CD4 T cells were imported into PhenoGraph and clustered on 33,022 total events (3,669 events from each file) and 32 markers (excluding CD3, CD4, and MHC II, ), identifying 16 unique clusters portrayed on a tSNE plot. (B) All events from panel A are colored by CD44, IFN γ , TNF α , and IL-10 expression. (C) Events from panel A colored based on their cytokine profile, stratified based on IFN γ , TNF α , and IL-10 expression. (D) Frequency of CD4 T cells in virally-infected B6 and IL10KO mice. (E) Comparison of CTLA-4, GITR, ICOS, Lag3, and PD-1 expression across CD4 T cells from B6 (top row) or IL10KO (bottom row) mice, where IFN γ + TNF α + CD4 T cells were identified by a green boundary line. Parameters with a different maximum scale value between B6 and IL10KO are identified by italicized text and an asterisk. Data from virally infected lungs of B6 (n=4) and IL10KO (n= 5) mice harvested 9 dpi, with cells stimulated with PMA and ionomycin for five hours prior to ICCS. Data for B6 mice were also included in , subjected to different clustering parameters (as outlined in ). Data show mean ± SEM with individual symbols denoting individual mice, with statistical analysis done by unpaired t test, corrected for multiple comparisons using the Holm-Sidak method. Statistical significance denoted by **, p<0.01 and ***, p<0.001. ns, not significant.

    Article Snippet: Mice were infected with WT γ HV68 (strain WUMS, ATCC VR-1465) , using either bacterial artificial chromosome (BAC)-derived WT γ HV68 ( ) or WT γ HV68.ORF73 β la, which encodes a fusion between ORF73 and the beta-lactamase gene ( ). γ HV68 was grown and titered by plaque assay on NIH 3T12 fibroblasts as previously published ( ).

    Techniques: Infection, Staining, Expressing, Comparison

    Mass cytometric analysis of cells recovered from the lungs of γ HV68 infected IL10gfp mice at 6 dpi. Files were normalized, with events gated on (A) total viable, single cells (defined as 191 Ir+ 193 Ir+ 195 Pt-) or (B-D) viable, CD4+ T cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A) PhenoGraph analysis of cellular phenotypes in mock and virally-infected lung (28,924 events total), clustered based on 29 markers , identified 34 unique clusters, with cluster phenotype defined according to the indicated lineage markers. The “CD45+” cluster was defined by its expression of CD45+ and absence of other lineage defining markers. The right panel of A shows all viable, singlet events from mock- and virally-infected lungs, with events colored according to IL10gfp expression. The green boundary line defines CD4+ T cells. (B) Mass cytometric analysis and PhenoGraph-based cell clustering of CD4+ T cells (5,464 events total, clustered based on 26 markers, excluding CD3, CD4, and MHC II, ). In total 16 unique clusters were identified, visualized on a tSNE plot (left). The number and frequency of CD4 T cell clusters is shown in the right panel, with pie charts sized proportionally to the relative cell number of CD4 T cells in mock or virus infected lung. (C) Phenotypic analysis of CD4 T cells, with events predominantly in mock infection denoted with a gray boundary and events predominantly in virus infection denoted with a red boundary. Data depict CD4 T cells plotted according to tSNE1 and tSNE2, as in panel B, with individual plots depicting relative protein expression for the identified marker portrayed by color intensity, with range of expression indicated on the bottom of each panel. Panels are ordered based on the frequency of positive events. (D) Summary of CD4 T cell clusters (in columns) that differ between mock and γ HV68 infected lungs, with protein expression denoted in rows (gray shading scaled relative to expression level). Data are from the lungs of a mock- or γ HV68-infected mouse harvested at 6 dpi, with panel D quantifying the frequency of events in each cluster as a percentage of CD4+ T cells.

    Journal: bioRxiv

    Article Title: High-dimensional characterization of IL-10 production and IL-10 dependent regulation during primary gammaherpesvirus infection

    doi: 10.1101/490789

    Figure Lengend Snippet: Mass cytometric analysis of cells recovered from the lungs of γ HV68 infected IL10gfp mice at 6 dpi. Files were normalized, with events gated on (A) total viable, single cells (defined as 191 Ir+ 193 Ir+ 195 Pt-) or (B-D) viable, CD4+ T cells (defined as 191 Ir+ 193 Ir+ 195 Pt- 152 CD3 ε + 172 CD4+ 174 MHC II-) prior to analysis, where numbers indicate isotopic mass for each measured parameter. (A) PhenoGraph analysis of cellular phenotypes in mock and virally-infected lung (28,924 events total), clustered based on 29 markers , identified 34 unique clusters, with cluster phenotype defined according to the indicated lineage markers. The “CD45+” cluster was defined by its expression of CD45+ and absence of other lineage defining markers. The right panel of A shows all viable, singlet events from mock- and virally-infected lungs, with events colored according to IL10gfp expression. The green boundary line defines CD4+ T cells. (B) Mass cytometric analysis and PhenoGraph-based cell clustering of CD4+ T cells (5,464 events total, clustered based on 26 markers, excluding CD3, CD4, and MHC II, ). In total 16 unique clusters were identified, visualized on a tSNE plot (left). The number and frequency of CD4 T cell clusters is shown in the right panel, with pie charts sized proportionally to the relative cell number of CD4 T cells in mock or virus infected lung. (C) Phenotypic analysis of CD4 T cells, with events predominantly in mock infection denoted with a gray boundary and events predominantly in virus infection denoted with a red boundary. Data depict CD4 T cells plotted according to tSNE1 and tSNE2, as in panel B, with individual plots depicting relative protein expression for the identified marker portrayed by color intensity, with range of expression indicated on the bottom of each panel. Panels are ordered based on the frequency of positive events. (D) Summary of CD4 T cell clusters (in columns) that differ between mock and γ HV68 infected lungs, with protein expression denoted in rows (gray shading scaled relative to expression level). Data are from the lungs of a mock- or γ HV68-infected mouse harvested at 6 dpi, with panel D quantifying the frequency of events in each cluster as a percentage of CD4+ T cells.

    Article Snippet: Mice were infected with WT γ HV68 (strain WUMS, ATCC VR-1465) , using either bacterial artificial chromosome (BAC)-derived WT γ HV68 ( ) or WT γ HV68.ORF73 β la, which encodes a fusion between ORF73 and the beta-lactamase gene ( ). γ HV68 was grown and titered by plaque assay on NIH 3T12 fibroblasts as previously published ( ).

    Techniques: Infection, Expressing, Virus, Marker