e coli escherichia coli migula castellani  (ATCC)


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    ATCC e coli escherichia coli migula castellani
    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of <t>E.</t> <t>coli</t> or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    E Coli Escherichia Coli Migula Castellani, 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/result/e coli escherichia coli migula castellani/product/ATCC
    Average 94 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    e coli escherichia coli migula castellani - by Bioz Stars, 2023-05
    94/100 stars

    Images

    1) Product Images from "Maternal obesity blunts antimicrobial responses in fetal monocytes"

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    Journal: eLife

    doi: 10.7554/eLife.81320

    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    Figure Legend Snippet: ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.

    Techniques Used: In Vitro, Purification, Cell Culture, RNA Sequencing Assay, Luminex, Infection, Transformation Assay, Functional Assay, Cell Differentiation, Activity Assay, Ex Vivo

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.
    Figure Legend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.

    Techniques Used: Functional Assay

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.
    Figure Legend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.

    Techniques Used: Functional Assay, Expressing, In Vitro, Infection

    ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.
    Figure Legend Snippet: ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.

    Techniques Used: Fluorescence, Flow Cytometry, Staining, Translocation Assay, Modification, Injection, RNA Sequencing Assay, Infection

    ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.
    Figure Legend Snippet: ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.

    Techniques Used: Western Blot, Cell Culture, Luminex, Isolation, Staining, Fluorescence

    e coli escherichia coli migula castellani  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
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  • 94

    Structured Review

    ATCC e coli escherichia coli migula castellani
    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of <t>E.</t> <t>coli</t> or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    E Coli Escherichia Coli Migula Castellani, 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/result/e coli escherichia coli migula castellani/product/ATCC
    Average 94 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    e coli escherichia coli migula castellani - by Bioz Stars, 2023-05
    94/100 stars

    Images

    1) Product Images from "Maternal obesity blunts antimicrobial responses in fetal monocytes"

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    Journal: eLife

    doi: 10.7554/eLife.81320

    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    Figure Legend Snippet: ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.

    Techniques Used: In Vitro, Purification, Cell Culture, RNA Sequencing Assay, Luminex, Infection, Transformation Assay, Functional Assay, Cell Differentiation, Activity Assay, Ex Vivo

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.
    Figure Legend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.

    Techniques Used: Functional Assay

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.
    Figure Legend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.

    Techniques Used: Functional Assay, Expressing, In Vitro, Infection

    ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.
    Figure Legend Snippet: ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.

    Techniques Used: Fluorescence, Flow Cytometry, Staining, Translocation Assay, Modification, Injection, RNA Sequencing Assay, Infection

    ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.
    Figure Legend Snippet: ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.

    Techniques Used: Western Blot, Cell Culture, Luminex, Isolation, Staining, Fluorescence

    escherichia coli migula castellani  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
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  • 94

    Structured Review

    ATCC escherichia coli migula castellani
    Escherichia Coli Migula Castellani, 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/result/escherichia coli migula castellani/product/ATCC
    Average 94 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    escherichia coli migula castellani - by Bioz Stars, 2023-05
    94/100 stars

    Images

    escherichia coli  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
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  • Contact
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  • 94

    Structured Review

    ATCC escherichia coli
    Antibacterial spectrum of activity of bacteriocins produced by selected strains.
    Escherichia Coli, 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/result/escherichia coli/product/ATCC
    Average 94 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    escherichia coli - by Bioz Stars, 2023-05
    94/100 stars

    Images

    1) Product Images from "Antimicrobial and Safety Properties of Lactobacilli Isolated from two Cameroonian Traditional Fermented Foods"

    Article Title: Antimicrobial and Safety Properties of Lactobacilli Isolated from two Cameroonian Traditional Fermented Foods

    Journal: Scientia Pharmaceutica

    doi: 10.3797/scipharm.1107-12

    Antibacterial spectrum of activity of bacteriocins produced by selected strains.
    Figure Legend Snippet: Antibacterial spectrum of activity of bacteriocins produced by selected strains.

    Techniques Used: Activity Assay, Produced

    escherichia coli  (ATCC)


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    ATCC escherichia coli
    Bacterial species used in the real-time PCR and HRM analysis.
    Escherichia Coli, 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
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    1) Product Images from "Rapid Detection and Simultaneous Genotyping of Cronobacter spp. (formerly Enterobacter sakazakii ) in Powdered Infant Formula Using Real-time PCR and High Resolution Melting (HRM) Analysis"

    Article Title: Rapid Detection and Simultaneous Genotyping of Cronobacter spp. (formerly Enterobacter sakazakii ) in Powdered Infant Formula Using Real-time PCR and High Resolution Melting (HRM) Analysis

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0067082

    Bacterial species used in the real-time PCR and HRM analysis.
    Figure Legend Snippet: Bacterial species used in the real-time PCR and HRM analysis.

    Techniques Used: Real-time Polymerase Chain Reaction

    e coli escherichia coli migula castellani  (ATCC)


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    ATCC e coli escherichia coli migula castellani
    (A)Heatmap of top marker genes for the decidual HLA-DR low and HLA-DR high subsets, classical and non-classical blood monocytes. Each column is a bin of a fixed number of cells and each row represents a gene. A subset of genes within each cluster is annotated. High and low expression are represented as red and blue respectively. (B) Violin plots comparing expression of gene markers within decidual macrophage subsets (C) Surface expression of HLA-DR and CD11c measured by flow cytometry. (D) Brightfield and fluorescence profiles of macrophage subsets captured using imaging flow cytometry. (E) Median Fluorescence Intensities (MFI) of macrophage surface markers on decidual macrophage subsets (n=7/group). (F) Frequencies of TREM2+ FOLR2+ (n=5/group) and CD163+ (n=7/group) within decidual macrophages. (G) Phospho p65 signal in blood monocytes and decidual macrophage subsets (n=3/group) by flow cytometry. (H) Comparison of baseline secreted cytokine profiles (median) of sorted decidual macrophage subsets (n=4/group) and blood monocytes (n=2). * and # represents significant differences relative to blood monocytes between HLA-DR low and HLA-DR high macrophages, respectively. (I) Responses to overnight LPS stimulation of total decidual leukocytes (n=8/group). (J-K) MFI of intracellular (J) CellROX (n=7/group) and (K) <t>E.</t> <t>coli</t> pHrodo+ (n=8/group) in decidual macrophages. (L) Oxygen consumption rate and extracellular acidification rates of decidual macrophages (n=6/group).
    E Coli Escherichia Coli Migula Castellani, 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
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    1) Product Images from "Multimodal profiling of term human decidua reveals tissue-specific immune adaptations with maternal obesity"

    Article Title: Multimodal profiling of term human decidua reveals tissue-specific immune adaptations with maternal obesity

    Journal: bioRxiv

    doi: 10.1101/2022.11.01.514598

    (A)Heatmap of top marker genes for the decidual HLA-DR low and HLA-DR high subsets, classical and non-classical blood monocytes. Each column is a bin of a fixed number of cells and each row represents a gene. A subset of genes within each cluster is annotated. High and low expression are represented as red and blue respectively. (B) Violin plots comparing expression of gene markers within decidual macrophage subsets (C) Surface expression of HLA-DR and CD11c measured by flow cytometry. (D) Brightfield and fluorescence profiles of macrophage subsets captured using imaging flow cytometry. (E) Median Fluorescence Intensities (MFI) of macrophage surface markers on decidual macrophage subsets (n=7/group). (F) Frequencies of TREM2+ FOLR2+ (n=5/group) and CD163+ (n=7/group) within decidual macrophages. (G) Phospho p65 signal in blood monocytes and decidual macrophage subsets (n=3/group) by flow cytometry. (H) Comparison of baseline secreted cytokine profiles (median) of sorted decidual macrophage subsets (n=4/group) and blood monocytes (n=2). * and # represents significant differences relative to blood monocytes between HLA-DR low and HLA-DR high macrophages, respectively. (I) Responses to overnight LPS stimulation of total decidual leukocytes (n=8/group). (J-K) MFI of intracellular (J) CellROX (n=7/group) and (K) E. coli pHrodo+ (n=8/group) in decidual macrophages. (L) Oxygen consumption rate and extracellular acidification rates of decidual macrophages (n=6/group).
    Figure Legend Snippet: (A)Heatmap of top marker genes for the decidual HLA-DR low and HLA-DR high subsets, classical and non-classical blood monocytes. Each column is a bin of a fixed number of cells and each row represents a gene. A subset of genes within each cluster is annotated. High and low expression are represented as red and blue respectively. (B) Violin plots comparing expression of gene markers within decidual macrophage subsets (C) Surface expression of HLA-DR and CD11c measured by flow cytometry. (D) Brightfield and fluorescence profiles of macrophage subsets captured using imaging flow cytometry. (E) Median Fluorescence Intensities (MFI) of macrophage surface markers on decidual macrophage subsets (n=7/group). (F) Frequencies of TREM2+ FOLR2+ (n=5/group) and CD163+ (n=7/group) within decidual macrophages. (G) Phospho p65 signal in blood monocytes and decidual macrophage subsets (n=3/group) by flow cytometry. (H) Comparison of baseline secreted cytokine profiles (median) of sorted decidual macrophage subsets (n=4/group) and blood monocytes (n=2). * and # represents significant differences relative to blood monocytes between HLA-DR low and HLA-DR high macrophages, respectively. (I) Responses to overnight LPS stimulation of total decidual leukocytes (n=8/group). (J-K) MFI of intracellular (J) CellROX (n=7/group) and (K) E. coli pHrodo+ (n=8/group) in decidual macrophages. (L) Oxygen consumption rate and extracellular acidification rates of decidual macrophages (n=6/group).

    Techniques Used: Marker, Expressing, Flow Cytometry, Fluorescence, Imaging

    (A-B) Dot plots comparing (A) lymphocyte and (B) macrophage proportions within CD45+ decidual cells in lean pregnant women (n=6 for Tregs, 32 for rest) and those with obesity (n=6 for Tregs, 31 for rest). (C) Gating strategy and dot plots comparing frequencies of S100A9+ cells within HLA-DR high macrophages (n=5/group). (D) Stacked bar graph comparing frequencies of decidual leukocytes within total cells sequenced in each group (within CD45+ cells). (E) Stacked bar comparing HLA-DR high macrophage cluster within total CD45+ cells. (F-G) Gene Ontology (GO) terms of genes that are up- (F) and down- (G) regulated with pregravid obesity within HLA-DR high macrophages predicted by Metascape. Only differentially expressed genes with a Log 2 fold change cutoff of 0.4 were analyzed. (H) Violin plots compared normalized transcripts of select genes that are significantly up- (left) or down- (right) regulated with obesity. (I) Dot plots comparing frequencies of TREM1+ cells or cytokine expressing cells within HLA-DR high macrophages (n=5/group). (J) Violin plots comparing secreted factors at baseline by FACS sorted HLA-DR high macrophages (n=3/group). (K) Experimental design for measuring ex vivo macrophage responses to E. coli or bacterial TLRs. (L) Bar graphs comparing cytokine-producing cells TNFa+IL6+ (left) and TNFa+IL6+IL1b+ (right) following stimulation with bacterial TLRs and E. coli (n=6/group).
    Figure Legend Snippet: (A-B) Dot plots comparing (A) lymphocyte and (B) macrophage proportions within CD45+ decidual cells in lean pregnant women (n=6 for Tregs, 32 for rest) and those with obesity (n=6 for Tregs, 31 for rest). (C) Gating strategy and dot plots comparing frequencies of S100A9+ cells within HLA-DR high macrophages (n=5/group). (D) Stacked bar graph comparing frequencies of decidual leukocytes within total cells sequenced in each group (within CD45+ cells). (E) Stacked bar comparing HLA-DR high macrophage cluster within total CD45+ cells. (F-G) Gene Ontology (GO) terms of genes that are up- (F) and down- (G) regulated with pregravid obesity within HLA-DR high macrophages predicted by Metascape. Only differentially expressed genes with a Log 2 fold change cutoff of 0.4 were analyzed. (H) Violin plots compared normalized transcripts of select genes that are significantly up- (left) or down- (right) regulated with obesity. (I) Dot plots comparing frequencies of TREM1+ cells or cytokine expressing cells within HLA-DR high macrophages (n=5/group). (J) Violin plots comparing secreted factors at baseline by FACS sorted HLA-DR high macrophages (n=3/group). (K) Experimental design for measuring ex vivo macrophage responses to E. coli or bacterial TLRs. (L) Bar graphs comparing cytokine-producing cells TNFa+IL6+ (left) and TNFa+IL6+IL1b+ (right) following stimulation with bacterial TLRs and E. coli (n=6/group).

    Techniques Used: Expressing, Ex Vivo

    e coli escherichia coli migula castellani  (ATCC)


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    ATCC e coli escherichia coli migula castellani
    Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of <t>E.</t> <t>coli</t> or RSV for 16h. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. (B) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. (C) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group). Bar colors represent the functional enrichment of DEGs predicted using Metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. (D) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms “myeloid cell differentiation”, “inflammatory response to antigenic stimulus”, “leukocyte apoptotic process”, “regulation of leukocyte activity”, ”cytokine activity”, and ”positive regulation of protein phosphorylation”. (E) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. (F) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or / # - p<0.05, #### - p<0.0001
    E Coli Escherichia Coli Migula Castellani, 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
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    1) Product Images from "Impact of pregravid obesity on anti-microbial fetal monocyte response"

    Article Title: Impact of pregravid obesity on anti-microbial fetal monocyte response

    Journal: bioRxiv

    doi: 10.1101/2022.07.10.499492

    Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16h. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. (B) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. (C) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group). Bar colors represent the functional enrichment of DEGs predicted using Metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. (D) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms “myeloid cell differentiation”, “inflammatory response to antigenic stimulus”, “leukocyte apoptotic process”, “regulation of leukocyte activity”, ”cytokine activity”, and ”positive regulation of protein phosphorylation”. (E) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. (F) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or / # - p<0.05, #### - p<0.0001
    Figure Legend Snippet: Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16h. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. (B) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. (C) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group). Bar colors represent the functional enrichment of DEGs predicted using Metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. (D) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms “myeloid cell differentiation”, “inflammatory response to antigenic stimulus”, “leukocyte apoptotic process”, “regulation of leukocyte activity”, ”cytokine activity”, and ”positive regulation of protein phosphorylation”. (E) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. (F) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or / # - p<0.05, #### - p<0.0001

    Techniques Used: In Vitro, Purification, Cell Culture, RNA Sequencing Assay, Luminex, Infection, Transformation Assay, Functional Assay, Cell Differentiation, Activity Assay

    (A) NHP model of maternal diet-induced obesity. GD130 fetal gut (ileum) and spleen from rhesus macaque dams on a control chow diet (n=3) and western-style diet (n=4) were isolated. Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. (B) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. (C-D) Principal component analysis (PCA) of key secreted factors by unstimulated and LPS stimulated (C) splenic and (D) gut macrophages from chow and WSD groups. Each dot on the PCA corresponds to an aggregate (dimension reduced) of all cytokines/chemokines upregulated with stimulation. (E-F) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. Coli stimulation in (E) splenic and (F) gut macrophages. Statistical differences between chow and HFD groups are highlighted. *-p<0.05
    Figure Legend Snippet: (A) NHP model of maternal diet-induced obesity. GD130 fetal gut (ileum) and spleen from rhesus macaque dams on a control chow diet (n=3) and western-style diet (n=4) were isolated. Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. (B) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. (C-D) Principal component analysis (PCA) of key secreted factors by unstimulated and LPS stimulated (C) splenic and (D) gut macrophages from chow and WSD groups. Each dot on the PCA corresponds to an aggregate (dimension reduced) of all cytokines/chemokines upregulated with stimulation. (E-F) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. Coli stimulation in (E) splenic and (F) gut macrophages. Statistical differences between chow and HFD groups are highlighted. *-p<0.05

    Techniques Used: Western Blot, Isolation, Cell Culture, Luminex, Staining

    escherichia coli  (ATCC)


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    ATCC escherichia coli
    Primer pairs used to amplify portions of the 16S rRNA gene of Bacteroides fragilis , Escheric hia coli, Ligilactobacillus agilis, and Limosilactobacillus fermentum
    Escherichia Coli, 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
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    1) Product Images from "Investigation of gut microbiota and short-chain fatty acids in Strongyloides stercoralis -infected patients in a rural community"

    Article Title: Investigation of gut microbiota and short-chain fatty acids in Strongyloides stercoralis -infected patients in a rural community

    Journal: Bioscience of Microbiota, Food and Health

    doi: 10.12938/bmfh.2021-054

    Primer pairs used to amplify portions of the 16S rRNA gene of Bacteroides fragilis , Escheric hia coli, Ligilactobacillus agilis, and Limosilactobacillus fermentum
    Figure Legend Snippet: Primer pairs used to amplify portions of the 16S rRNA gene of Bacteroides fragilis , Escheric hia coli, Ligilactobacillus agilis, and Limosilactobacillus fermentum

    Techniques Used: Sequencing

    Comparisons of the abundances (numbers of sequence reads) of some bacteria between Ss− and Ss+ samples. (A) Genus and (B) species of Bifidobacterium , Blautia , and Lactobacillus ; (C) genus and (D) species of Proteus , Desulfovibrio , Escherichia-Shigella, and Bacteroides . Ss−, control group; Ss+, S. stercoralis infection group.
    Figure Legend Snippet: Comparisons of the abundances (numbers of sequence reads) of some bacteria between Ss− and Ss+ samples. (A) Genus and (B) species of Bifidobacterium , Blautia , and Lactobacillus ; (C) genus and (D) species of Proteus , Desulfovibrio , Escherichia-Shigella, and Bacteroides . Ss−, control group; Ss+, S. stercoralis infection group.

    Techniques Used: Sequencing, Infection

    Frequency of occurrence of four bacterial species among samples
    Figure Legend Snippet: Frequency of occurrence of four bacterial species among samples

    Techniques Used:

    escherichia coli  (ATCC)


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    ATCC escherichia coli
    Bacteria used in this study
    Escherichia Coli, 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
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    1) Product Images from "Evaluation of Modulatory Activities of Lactobacillus crispatus Strains in the Context of the Vaginal Microbiota"

    Article Title: Evaluation of Modulatory Activities of Lactobacillus crispatus Strains in the Context of the Vaginal Microbiota

    Journal: Microbiology Spectrum

    doi: 10.1128/spectrum.02733-21

    Bacteria used in this study
    Figure Legend Snippet: Bacteria used in this study

    Techniques Used:

    Antibacterial activity of Lactobacillus strains against different bacterial species
    Figure Legend Snippet: Antibacterial activity of Lactobacillus strains against different bacterial species

    Techniques Used: Activity Assay

    e coli migula castellani  (ATCC)


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    ATCC e coli migula castellani
    Distribution of isolated bacteria from colon disease biopsies.
    E Coli Migula Castellani, 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
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    1) Product Images from "Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance"

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    Journal: Pathogens

    doi: 10.3390/pathogens11010014

    Distribution of isolated bacteria from colon disease biopsies.
    Figure Legend Snippet: Distribution of isolated bacteria from colon disease biopsies.

    Techniques Used: Isolation

    Non-DEC, EPEC, and DAEC isolated from colon disease biopsies.
    Figure Legend Snippet: Non-DEC, EPEC, and DAEC isolated from colon disease biopsies.

    Techniques Used: Isolation

     E. coli  phylogroups (A, B1, B2, and D) of strains isolated from colon disease biopsies.
    Figure Legend Snippet: E. coli phylogroups (A, B1, B2, and D) of strains isolated from colon disease biopsies.

    Techniques Used: Isolation

     E. coli  and Klebsiella containing CM-encoding genes that were isolated from colon disease biopsies.
    Figure Legend Snippet: E. coli and Klebsiella containing CM-encoding genes that were isolated from colon disease biopsies.

    Techniques Used: Isolation

    CM-encoding genes of  E. coli  and Klebsiella isolated from patients with colon disease.
    Figure Legend Snippet: CM-encoding genes of E. coli and Klebsiella isolated from patients with colon disease.

    Techniques Used: Isolation

    Antibiotic resistances of strains isolated from biopsies of colons.
    Figure Legend Snippet: Antibiotic resistances of strains isolated from biopsies of colons.

    Techniques Used: Isolation

    escherichia coli atcc 11775  (ATCC)


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    ATCC escherichia coli atcc 11775
    Escherichia Coli Atcc 11775, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC e coli escherichia coli migula castellani
    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of <t>E.</t> <t>coli</t> or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    E Coli Escherichia Coli Migula Castellani, 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
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    ATCC escherichia coli migula castellani
    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of <t>E.</t> <t>coli</t> or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.
    Escherichia Coli Migula Castellani, 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
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    ATCC escherichia coli
    Antibacterial spectrum of activity of bacteriocins produced by selected strains.
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    94
    ATCC e coli migula castellani
    Distribution of isolated bacteria from colon disease biopsies.
    E Coli Migula Castellani, 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
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    96
    ATCC escherichia coli atcc 11775
    Distribution of isolated bacteria from colon disease biopsies.
    Escherichia Coli Atcc 11775, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.

    Journal: eLife

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    doi: 10.7554/eLife.81320

    Figure Lengend Snippet: ( A ) Experimental design for in vitro bacterial and viral stimulation. Purified monocytes were cultured in the presence/absence of E. coli or RSV for 16 hr. Cell pellets were used for bulk RNA-Seq analyses and supernatants were used for Luminex analyses of secreted cytokines and chemokines. ( B ) Bubble plot of key secreted factors significantly different following E. coli infection. The size of the bubble represents the quantity of the secreted analyte (log-transformed) whereas color represents statistical significance relative to no stimulation controls. Statistically significant analytes between lean and obese groups are highlighted with # - p<0.05. ( C ) Venn diagram (right) and corresponding functional enrichment (left) of genes upregulated with E. coli infection in lean and obese groups (Green denotes common DEG, blue DEG unique to lean group, and yellow DEG unique to the obese group) using metascape. The length of the bar indicates the number of genes in each gene ontology (GO) term. Color represents the statistical significance of each GO term. ( D ) Heatmap comparing fold changes of the genes upregulated in both groups (77 genes) that mapped to GO terms ‘myeloid cell differentiation’, ‘inflammatory response to antigenic stimulus’, ‘leukocyte apoptotic process’, ‘regulation of leukocyte activity’, ‘cytokine activity’, and ‘positive regulation of protein phosphorylation’. ( E ) Heatmap comparing normalized transcript counts (blue – low to red – high) of genes exclusively upregulated in the lean group following E. coli infection. ( F ) Experimental design for measuring ex vivo phagocytosis by cord blood monocytes. ( G ) Bar graph depicting colorimetric readout of phagocytosed E. coli particles by UCB monocyte. * or /#- p<0.05, #### - p<0.0001.

    Article Snippet: Approximately 5x10 5 MACS purified UCB monocytes were cultured with RSV (Human respiratory syncytial virus ATCC VR-1540, Manassas, VA) or E. coli ( Escherichia coli (Migula) Castellani and Chalmers ATCC 11775, Manassas, VA) or left untreated in RP10 medium for 16 hr at 37 °C.

    Techniques: In Vitro, Purification, Cell Culture, RNA Sequencing Assay, Luminex, Infection, Transformation Assay, Functional Assay, Cell Differentiation, Activity Assay, Ex Vivo

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.

    Journal: eLife

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    doi: 10.7554/eLife.81320

    Figure Lengend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) differentially expressed genes (DEG) in each group. ( B ) Venn diagram representing the number of downregulated DEG following E. coli stimulation in each group. ( C ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean (middle, blue) and obese (bottom, orange) groups. ( D ) Violin plots comparing fold changes of DEGs downregulated following E. coli stimulation and involved in antigen presentation.

    Article Snippet: Approximately 5x10 5 MACS purified UCB monocytes were cultured with RSV (Human respiratory syncytial virus ATCC VR-1540, Manassas, VA) or E. coli ( Escherichia coli (Migula) Castellani and Chalmers ATCC 11775, Manassas, VA) or left untreated in RP10 medium for 16 hr at 37 °C.

    Techniques: Functional Assay

    ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.

    Journal: eLife

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    doi: 10.7554/eLife.81320

    Figure Lengend Snippet: ( A ) Bar graph representing the number of upregulated (red) or downregulated (blue) DEG in each group. ( B ) Heatmap of upregulated genes involved in interferon signaling pathway. ( C ) Surface protein levels of interferon receptor 1 (IFNAR1) represented as the fraction of positive cells (top) or median fluorescent intensity (bottom). *- p<0.05, ***- p<0.001. ( D ) Venn diagram representing the number of downregulated DEG following RSV stimulation. ( E ) Functional enrichment of downregulated DEG detected in both groups (top, green), or exclusively in the lean group (top, blue) and obese group (bottom, orange). ( F ) Four-way venn comparing overall gene expression (both up- and down-regulated genes) changes following E. coli and RSV infections. ( G ) Five way functional enrichment of unique DEG and the 79 DEG induced in all groups induced following in vitro infection with E. coli and RSV.

    Article Snippet: Approximately 5x10 5 MACS purified UCB monocytes were cultured with RSV (Human respiratory syncytial virus ATCC VR-1540, Manassas, VA) or E. coli ( Escherichia coli (Migula) Castellani and Chalmers ATCC 11775, Manassas, VA) or left untreated in RP10 medium for 16 hr at 37 °C.

    Techniques: Functional Assay, Expressing, In Vitro, Infection

    ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.

    Journal: eLife

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    doi: 10.7554/eLife.81320

    Figure Lengend Snippet: ( A ) Dot plots comparing median fluorescence intensity (MFI) ± SEM of phosphorylated signaling molecules downstream of TLR4 sensing (n=5/group). *- p<0.05, **- p<0.01. ( B ) Representative brightfield and fluorescent images of stimulated and unstimulated UCB monocytes profiled using imagine flow cytometry (n=3–4/group). NF-kB (p50–AF488) and nucleus (7-AAD) are shown in green and red respectively. Surface stains for CD14 and HLA-DR are shown in aqua and fuchsia respectively. Overlay of NF-kB and nuclei stain was used to determine translocation within CD14 + HLA-DR+monocytes. Bar graph comparing percentage translocated cells following LPS stimulation in lean and obese groups. ( C ) Bar graph comparing changes in trimethyl modification on H3K9 residues following LPS stimulation (relative to no stimulation controls) detected using flow cytometry. ( D ) Graph representing the kinetics of ECAR of stimulated monocytes following glucose injection and blockade of glycolysis. ( E ) Bar graph comparing DAR frequencies in each group following LPS stimulation. ( F ) Heatmap demonstrating overall accessibility differences following LPS stimulation around the promoter. ( G ) Over-represented transcription factors identified from motif analysis of DARs more open in lean compared to obese groups following LPS stimulation. X-axis represented percentage of peaks with motifs identified and color represents p-value on log10 scale ( H ) Pileups of key inflammatory loci post LPS stimulation ( I ) Four-way Venn of genes accessible (ATAC-Seq) exclusively in the lean group post LPS stimulation with genes exclusively upregulated (RNA-Seq) in the lean group following LPS, E. coli and RSV infection. Select overlapping genes are highlighted. ( J ) UMAP of single nuclei ATAC-Seq of LPS stimulated and sorted monocytes. ( K ) Feature plots demonstrating a cluster of activated monocytes (cluster 1). Color intensity represents fragments mapping to open chromatin regions. ( L ) Proportions of monocytes within each group mapping to activated monocyte cluster. ( M ) Pileups of inflammatory loci in activated monocytes with/without LPS stimulation. * - p<0.05; ** - p<0.01.

    Article Snippet: Approximately 5x10 5 MACS purified UCB monocytes were cultured with RSV (Human respiratory syncytial virus ATCC VR-1540, Manassas, VA) or E. coli ( Escherichia coli (Migula) Castellani and Chalmers ATCC 11775, Manassas, VA) or left untreated in RP10 medium for 16 hr at 37 °C.

    Techniques: Fluorescence, Flow Cytometry, Staining, Translocation Assay, Modification, Injection, RNA Sequencing Assay, Infection

    ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.

    Journal: eLife

    Article Title: Maternal obesity blunts antimicrobial responses in fetal monocytes

    doi: 10.7554/eLife.81320

    Figure Lengend Snippet: ( A ) NHP model of maternal diet-induced obesity. Fetal (GD130) PBMC, ileal leukocytes, and spleenocytes were obtained from rhesus macaque born to dams on a control chow diet (n=3) and western-style diet (n=4). Fetal macrophages from ileal lamina propria lymphocytes and splenocytes were FACS-sorted and cultured overnight with E. coli . Supernatants were collected and cytokines/chemokines were measured using Luminex. ( B ) Bar graph representing the frequency (mean and ± SEM) of responding fetal monocytes to LPS in PBMC isolated from GD130 fetal circulation measured by intracellular cytokine staining. ( C ) Frequencies of CD14 + HLA-DR+macrophages within live total ileal leukocytes (top) or live CD3-CD20- leukocytes (bottom) ( D–E ) Median fluorescence intensity (MFI) of ( D ) M1-associated HLA-DR and ( E ) M2-associated CD209 and CD206 within live macrophage population in ileum (top) and spleen (bottom). ( F–G ) Bubble plots comparing significantly different cytokine/chemokine levels in response to E. coli stimulation in ( F ) gut (ileum) and ( G ) splenic macrophages. Statistical differences between chow and WSD groups are highlighted. *-p<0.05.

    Article Snippet: Approximately 5x10 5 MACS purified UCB monocytes were cultured with RSV (Human respiratory syncytial virus ATCC VR-1540, Manassas, VA) or E. coli ( Escherichia coli (Migula) Castellani and Chalmers ATCC 11775, Manassas, VA) or left untreated in RP10 medium for 16 hr at 37 °C.

    Techniques: Western Blot, Cell Culture, Luminex, Isolation, Staining, Fluorescence

    Antibacterial spectrum of activity of bacteriocins produced by selected strains.

    Journal: Scientia Pharmaceutica

    Article Title: Antimicrobial and Safety Properties of Lactobacilli Isolated from two Cameroonian Traditional Fermented Foods

    doi: 10.3797/scipharm.1107-12

    Figure Lengend Snippet: Antibacterial spectrum of activity of bacteriocins produced by selected strains.

    Article Snippet: Escherichia coli , ATCC 11775 , BHI, 37°C , ++ , ++ , ++ , ++ , ++ , +++ , ++ , ++ , ++ , ++ , ++ , ++.

    Techniques: Activity Assay, Produced

    Distribution of isolated bacteria from colon disease biopsies.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: Distribution of isolated bacteria from colon disease biopsies.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation

    Non-DEC, EPEC, and DAEC isolated from colon disease biopsies.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: Non-DEC, EPEC, and DAEC isolated from colon disease biopsies.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation

     E. coli  phylogroups (A, B1, B2, and D) of strains isolated from colon disease biopsies.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: E. coli phylogroups (A, B1, B2, and D) of strains isolated from colon disease biopsies.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation

     E. coli  and Klebsiella containing CM-encoding genes that were isolated from colon disease biopsies.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: E. coli and Klebsiella containing CM-encoding genes that were isolated from colon disease biopsies.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation

    CM-encoding genes of  E. coli  and Klebsiella isolated from patients with colon disease.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: CM-encoding genes of E. coli and Klebsiella isolated from patients with colon disease.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation

    Antibiotic resistances of strains isolated from biopsies of colons.

    Journal: Pathogens

    Article Title: Prevalence of Cyclomodulin-Positive E. coli and Klebsiella spp. Strains in Mexican Patients with Colon Diseases and Antimicrobial Resistance

    doi: 10.3390/pathogens11010014

    Figure Lengend Snippet: Antibiotic resistances of strains isolated from biopsies of colons.

    Article Snippet: E. coli (Migula) Castellani and Chalmers ATCC 11775 and E. coli K12 (HB101) were used in quality control of culture media.

    Techniques: Isolation