Structured Review

Millipore il 12 p70
Effect of BPs on the response to LPS in 4T1CM-treated J774 cells. A mRNA expression of iNOS, IL-6, <t>IL-12,</t> and MMP-9. B Protein levels of M-CSF, VEGF, TNF-α, IL-10, MCP-1 and IL-6 secreted by macrophages. *p
Il 12 P70, supplied by Millipore, used in various techniques. Bioz Stars score: 86/100, based on 40 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/il 12 p70/product/Millipore
Average 86 stars, based on 40 article reviews
Price from $9.99 to $1999.99
il 12 p70 - by Bioz Stars, 2022-09
86/100 stars

Images

1) Product Images from "Liposome encapsulated zoledronate favours M1-like behaviour in murine macrophages cultured with soluble factors from breast cancer cells"

Article Title: Liposome encapsulated zoledronate favours M1-like behaviour in murine macrophages cultured with soluble factors from breast cancer cells

Journal: BMC Cancer

doi: 10.1186/s12885-015-1005-7

Effect of BPs on the response to LPS in 4T1CM-treated J774 cells. A mRNA expression of iNOS, IL-6, IL-12, and MMP-9. B Protein levels of M-CSF, VEGF, TNF-α, IL-10, MCP-1 and IL-6 secreted by macrophages. *p
Figure Legend Snippet: Effect of BPs on the response to LPS in 4T1CM-treated J774 cells. A mRNA expression of iNOS, IL-6, IL-12, and MMP-9. B Protein levels of M-CSF, VEGF, TNF-α, IL-10, MCP-1 and IL-6 secreted by macrophages. *p

Techniques Used: Expressing

Different mRNA and secreted cytokine profiles of 4T1 and 3T3 cells lead to differences in the modulation of J774 cell activation status with or without LPS stimulus. A mRNA expression levels of iNOS, IL-6, IL-12, and MMP-9. B Protein levels of M-CSF, VEGF, TNF-α, IL-10, MCP-1 and IL-6 secreted by macrophages. C Nitrite (NO 2 - ) production. Data represent the means ± SEM of 5 independent experiments. *p
Figure Legend Snippet: Different mRNA and secreted cytokine profiles of 4T1 and 3T3 cells lead to differences in the modulation of J774 cell activation status with or without LPS stimulus. A mRNA expression levels of iNOS, IL-6, IL-12, and MMP-9. B Protein levels of M-CSF, VEGF, TNF-α, IL-10, MCP-1 and IL-6 secreted by macrophages. C Nitrite (NO 2 - ) production. Data represent the means ± SEM of 5 independent experiments. *p

Techniques Used: Activation Assay, Expressing

2) Product Images from "Intranasal delivery of mitochondria for treatment of Parkinson’s Disease model rats lesioned with 6-hydroxydopamine"

Article Title: Intranasal delivery of mitochondria for treatment of Parkinson’s Disease model rats lesioned with 6-hydroxydopamine

Journal: Scientific Reports

doi: 10.1038/s41598-021-90094-w

Pep-1 labeling of mitochondria reduces plasma levels of inflammatory cytokines. Plasma was separated from blood collected after 3 months of treatment. Cytokines of granulocyte colony-stimulating factor (G-CSF), interleukin (IL)-1a, IL-4, IL-1b, IL-10, IL-12 p70, interferon gamma (IFN-g) and IL-17A were selected due to involvement of grafted mitochondrial regulation in Parkinson’s disease rats, shown in our previous study 7 . + P
Figure Legend Snippet: Pep-1 labeling of mitochondria reduces plasma levels of inflammatory cytokines. Plasma was separated from blood collected after 3 months of treatment. Cytokines of granulocyte colony-stimulating factor (G-CSF), interleukin (IL)-1a, IL-4, IL-1b, IL-10, IL-12 p70, interferon gamma (IFN-g) and IL-17A were selected due to involvement of grafted mitochondrial regulation in Parkinson’s disease rats, shown in our previous study 7 . + P

Techniques Used: Labeling

3) Product Images from "NADPH Oxidase Inhibitor, Diapocynin, Counteracts Diisopropylfluorophosphate (DFP)-induced Long-term Neurotoxicity in the Rat Model"

Article Title: NADPH Oxidase Inhibitor, Diapocynin, Counteracts Diisopropylfluorophosphate (DFP)-induced Long-term Neurotoxicity in the Rat Model

Journal: Annals of the New York Academy of Sciences

doi: 10.1111/nyas.14314

DPO significantly reduced key proinflammatory cytokines and chemokines in the hippocampus at six weeks post-DFP. A) DFP exposure upregulated IL-1α, TNF-α, IL-6, IL-17A while DPO significantly suppressed IL-6, IL-17A and IL-1α. Exposure to DFP significantly reduced the anti-inflammatory cytokine IL-10 level but DPO had no effect. The pleiotropic cytokines, IL-2 and IL-12, were upregulated in the vehicle group. DPO treatment significantly reduced IL-2 level but did not reduce the DFP-induced levels of IL-12. B) DFP exposure significantly elevated the levels of chemokines and growth factors such as Leptin, Eotaxin, EGF, Fractalkine, IP-10, RANTES. DPO only mitigated the increased levels of leptin and IP-10. Data presented as mean ± SEM (n=4-6, *p
Figure Legend Snippet: DPO significantly reduced key proinflammatory cytokines and chemokines in the hippocampus at six weeks post-DFP. A) DFP exposure upregulated IL-1α, TNF-α, IL-6, IL-17A while DPO significantly suppressed IL-6, IL-17A and IL-1α. Exposure to DFP significantly reduced the anti-inflammatory cytokine IL-10 level but DPO had no effect. The pleiotropic cytokines, IL-2 and IL-12, were upregulated in the vehicle group. DPO treatment significantly reduced IL-2 level but did not reduce the DFP-induced levels of IL-12. B) DFP exposure significantly elevated the levels of chemokines and growth factors such as Leptin, Eotaxin, EGF, Fractalkine, IP-10, RANTES. DPO only mitigated the increased levels of leptin and IP-10. Data presented as mean ± SEM (n=4-6, *p

Techniques Used:

4) Product Images from "Plasma cytokines during pregnancy provide insight into the risk of diabetes in the gestational diabetes risk group"

Article Title: Plasma cytokines during pregnancy provide insight into the risk of diabetes in the gestational diabetes risk group

Journal: Journal of Diabetes Investigation

doi: 10.1111/jdi.13828

Spearman’s rank correlation matrix with correlation coefficient and statistical significance for the top four cytokines: interleukin (IL)‐1β, IL‐5, IL‐12(p70) and IL‐23, that showed the highest number of strong correlations ( r > 0.5, P
Figure Legend Snippet: Spearman’s rank correlation matrix with correlation coefficient and statistical significance for the top four cytokines: interleukin (IL)‐1β, IL‐5, IL‐12(p70) and IL‐23, that showed the highest number of strong correlations ( r > 0.5, P

Techniques Used:

5) Product Images from "Klotho sensitive regulation of dendritic cell functions by vitamin E"

Article Title: Klotho sensitive regulation of dendritic cell functions by vitamin E

Journal: Biological Research

doi: 10.1186/s40659-016-0105-4

Effect of VitE on DC maturation. a Original dot plots representing the percentage of CD11c + CD86 + control-( 1st line ) and klotho-silenced ( 2nd line ) DCs is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence (2nd panel) or presence of VitE ( 3rd panel ). b Arithmetic mean ± SEM (n = 5) of CD11c + CD86 + cells is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence of VitE ( 3rd bar ) or presence of VitE and Bay 11-7082 (10 µM) ( 4th bar ). c Arithmetic mean ± SEM (n = 4) of CD11c + CD86 + cells transfected with klotho siRNA is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence ( 3rd bar ) of VitE. d , g Arithmetic mean ± SEM (n = 5–7) of IL12p70 and TNF-α production in DCs are shown prior to control ( white bar ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence of VitE ( 3rd bar ) or presence of VitE and Bay 11-7082 (10 µM) ( 4th bar ). e , h Arithmetic mean ± SEM (n = 5–7) of IL12p70 and TNF-α production in DCs transfected with klotho siRNA are shown prior to control ( 1st bar ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence ( 3rd bar ) of VitE. f Original dot plots representing the percentage of CD11c + IL-12p70 + control-( 1st line ) and klotho-silenced ( 2nd line ) DCs is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd panel ) or presence of VitE ( 3rd panel ). *(p
Figure Legend Snippet: Effect of VitE on DC maturation. a Original dot plots representing the percentage of CD11c + CD86 + control-( 1st line ) and klotho-silenced ( 2nd line ) DCs is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence (2nd panel) or presence of VitE ( 3rd panel ). b Arithmetic mean ± SEM (n = 5) of CD11c + CD86 + cells is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence of VitE ( 3rd bar ) or presence of VitE and Bay 11-7082 (10 µM) ( 4th bar ). c Arithmetic mean ± SEM (n = 4) of CD11c + CD86 + cells transfected with klotho siRNA is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence ( 3rd bar ) of VitE. d , g Arithmetic mean ± SEM (n = 5–7) of IL12p70 and TNF-α production in DCs are shown prior to control ( white bar ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence of VitE ( 3rd bar ) or presence of VitE and Bay 11-7082 (10 µM) ( 4th bar ). e , h Arithmetic mean ± SEM (n = 5–7) of IL12p70 and TNF-α production in DCs transfected with klotho siRNA are shown prior to control ( 1st bar ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd bar ) or presence ( 3rd bar ) of VitE. f Original dot plots representing the percentage of CD11c + IL-12p70 + control-( 1st line ) and klotho-silenced ( 2nd line ) DCs is shown prior to control ( 1st panel ) and 24 h following treatment with LPS (100 ng/ml) either in the absence ( 2nd panel ) or presence of VitE ( 3rd panel ). *(p

Techniques Used: Transfection

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  • 94
    Millipore il 12p40
    Plasma <t>IL-12p40</t> levels. Groups of patients with AChR-MG, MuSK-MG under immunosuppressive treatment [IS (+)], untreated [IS (-)] and CON are shown. Horizontal lines indicate mean values.
    Il 12p40, supplied by Millipore, 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/il 12p40/product/Millipore
    Average 94 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    il 12p40 - by Bioz Stars, 2022-09
    94/100 stars
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    93
    Millipore dcs
    NMP- or TXIB-induced increase of Th2 immune response is mediated by reduced IL-12 production by <t>DCs.</t> BMDCs were pulsed for 24 h with <t>OVA</t> (200 µg/ml), some cells in the presence of NMP or TXIB (100 µg/m 3 ), co-cultured with CD4 + T cells from DO11.10 mice or transferred into the trachea of naïve Balb/c mice. As control (CON) DCs only treated with LPS (100 ng/ml) was transferred. From day 10 onward, mice were challenged i.n. with OVA for 3 consecutive days. Cytokine production of DCs before transfer (A), cytokine production of DCs co-cultured with CD4 + T cells from DO11.10 mice (B) and effects of DC transfer on airway inflammation in H E stained lung sections (C), total cell numbers in BAL fluid (D), lung resistance (E), and Th2 cytokine levels in the supernatant of OVA-re-stimulated mediastinal lymphnodes (F) are shown. Data are expressed as mean ± SEM, n ≥ 9 animals per group; * p
    Dcs, supplied by Millipore, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 93 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    dcs - by Bioz Stars, 2022-09
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    93
    Millipore recombinant human il 12
    Tc1 conditions can restore perforin expression in CD8 + T cells from sentinel nodes. CD8 + T cells sorted from sentinel node (SN) were cultured in Tc1 conditions in vitro for seven days in order to rescue perforin expression. These SN-derived CD8 + T cells were stimulated with anti-CD3 and anti-CD28 stimulating antibodies with the presence of <t>IL-12</t> and IL-2 cytokines, as well as an anti-IL-4 neutralizing antibody. At the end of the culture, cells were analyzed by flow cytometry and RT-qPCR. ( A ) Dot plots showed the flow cytometry data from a representative patient for granzyme B vs. perforin expression, before and after the stimulation. The gate was based on isotype control and the frequency of granzyme B and perforin expression was counted out of CD8 + T cells. ( B ) Flow cytometry result of T-bet expression percentage from CD8 + T cells pre- and post-stimulation was analyzed. The frequency of T-bet expression was calculated from CD8 + T cells. ( C ) TBX21 and GATA3 gene expression analysis was done by RT-qPCR from cells in different culture conditions. RPII gene was used as housekeeping gene and the fold change was calculated based on cells without IL-12 and anti-IL-4 as control using 2 -ΔΔCt method.
    Recombinant Human Il 12, supplied by Millipore, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/recombinant human il 12/product/Millipore
    Average 93 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    recombinant human il 12 - by Bioz Stars, 2022-09
    93/100 stars
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    Image Search Results


    Plasma IL-12p40 levels. Groups of patients with AChR-MG, MuSK-MG under immunosuppressive treatment [IS (+)], untreated [IS (-)] and CON are shown. Horizontal lines indicate mean values.

    Journal: PLoS ONE

    Article Title: Differential Cytokine Changes in Patients with Myasthenia Gravis with Antibodies against AChR and MuSK

    doi: 10.1371/journal.pone.0123546

    Figure Lengend Snippet: Plasma IL-12p40 levels. Groups of patients with AChR-MG, MuSK-MG under immunosuppressive treatment [IS (+)], untreated [IS (-)] and CON are shown. Horizontal lines indicate mean values.

    Article Snippet: IFN-γ, IL-10, IL-12p40, IL-13 and IP-10 (CXCL10) levels were determined in patients’ plasma samples (Millipore, Milliplex Map Kit).

    Techniques:

    Relative abundance of gene ontologies in independent samples and in inflammatory versus non-inflammatory Lactobacillus isolates. a The top 14 microbial biological process (BP) and cellular component (CC) gene ontology (GO) terms that distinguished women with low versus high inflammation in the full cohort ( n = 113) were validated in an independent sample of ten women from Cape Town, South Africa. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from these women. Inflammation groups were defined based on hierarchical followed by K-means clustering of these ten women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. GO relative abundance was determined by aggregation of microbial protein intensity-based absolute quantification (iBAQ) values assigned to a same GO term. The relative abundance of the top BPs and CCs (except ATP-binding cassette transporter complex which was not detected in these samples) is shown as bar graphs, with blue indicating women with low inflammation ( n = 5) and red indicating women with high inflammation ( n = 5). Welch’s t test was used for comparisons. * p

    Journal: Microbiome

    Article Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection

    doi: 10.1186/s40168-020-00932-8

    Figure Lengend Snippet: Relative abundance of gene ontologies in independent samples and in inflammatory versus non-inflammatory Lactobacillus isolates. a The top 14 microbial biological process (BP) and cellular component (CC) gene ontology (GO) terms that distinguished women with low versus high inflammation in the full cohort ( n = 113) were validated in an independent sample of ten women from Cape Town, South Africa. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from these women. Inflammation groups were defined based on hierarchical followed by K-means clustering of these ten women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. GO relative abundance was determined by aggregation of microbial protein intensity-based absolute quantification (iBAQ) values assigned to a same GO term. The relative abundance of the top BPs and CCs (except ATP-binding cassette transporter complex which was not detected in these samples) is shown as bar graphs, with blue indicating women with low inflammation ( n = 5) and red indicating women with high inflammation ( n = 5). Welch’s t test was used for comparisons. * p

    Article Snippet: K-means clustering was used to identify women with low, medium, and high pro-inflammatory cytokine [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ] and chemokine profiles [cutaneous T cell-attracting chemokine (CTACK), eotaxin, growth regulated oncogene (GRO)-α, IL-8, IL-16, IFN-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-3, monokine induced by IFN-γ (MIG), macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated on activation, normal T cell expressed and secreted (RANTES)] (Additional file : Fig. S2).

    Techniques: Liquid Chromatography, Mass Spectrometry, Binding Assay

    Longitudinal changes in FGT metaproteomic profiles. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from 74 women from Cape Town, South Africa, at two visits 9 weeks (interquartile range 9–11 weeks) apart. a Sankey diagram was used to visualize changes in inflammatory cytokine profiles between visits. b Principal component analysis (mixOmics R package) was used to group women based on the log 2 -transformed intensity-based absolute quantification (iBAQ) values of all proteins identified at both visits. Grouping is based on vaginal pro-inflammatory cytokine concentrations, and each point represents an individual woman. c Top 20 proteins (UniProt IDs) distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest analysis (randomForest R package). d Top 10 taxa distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest algorithm (randomForest R package). e Top 14 biological process and cellular component gene ontology terms distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest algorithm (randomForest R package). Positions of participants in each heatmap are fixed, and the inflammation status of each participant across the visits can be tracked using the row sidebars. Inflammation groups were defined based on hierarchical followed by K-means clustering of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. ABC ATP-binding cassette, Agg aggregated, BP biological process, CC cellular component, Infla inflammation, PC principal component, PEP-PTS phosphoenolpyruvate-dependent phosphotransferase system, RNDP complex ribonucleoside-diphosphate reductase complex

    Journal: Microbiome

    Article Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection

    doi: 10.1186/s40168-020-00932-8

    Figure Lengend Snippet: Longitudinal changes in FGT metaproteomic profiles. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from 74 women from Cape Town, South Africa, at two visits 9 weeks (interquartile range 9–11 weeks) apart. a Sankey diagram was used to visualize changes in inflammatory cytokine profiles between visits. b Principal component analysis (mixOmics R package) was used to group women based on the log 2 -transformed intensity-based absolute quantification (iBAQ) values of all proteins identified at both visits. Grouping is based on vaginal pro-inflammatory cytokine concentrations, and each point represents an individual woman. c Top 20 proteins (UniProt IDs) distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest analysis (randomForest R package). d Top 10 taxa distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest algorithm (randomForest R package). e Top 14 biological process and cellular component gene ontology terms distinguishing women with and without inflammation at both visits determined by moderated t test (limma R package) and random forest algorithm (randomForest R package). Positions of participants in each heatmap are fixed, and the inflammation status of each participant across the visits can be tracked using the row sidebars. Inflammation groups were defined based on hierarchical followed by K-means clustering of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. ABC ATP-binding cassette, Agg aggregated, BP biological process, CC cellular component, Infla inflammation, PC principal component, PEP-PTS phosphoenolpyruvate-dependent phosphotransferase system, RNDP complex ribonucleoside-diphosphate reductase complex

    Article Snippet: K-means clustering was used to identify women with low, medium, and high pro-inflammatory cytokine [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ] and chemokine profiles [cutaneous T cell-attracting chemokine (CTACK), eotaxin, growth regulated oncogene (GRO)-α, IL-8, IL-16, IFN-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-3, monokine induced by IFN-γ (MIG), macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated on activation, normal T cell expressed and secreted (RANTES)] (Additional file : Fig. S2).

    Techniques: Liquid Chromatography, Mass Spectrometry, Transformation Assay, Binding Assay

    Bacterial relative abundance determined using metaproteomics versus 16S rRNA gene sequencing by inflammation cytokine profile. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from 113 women from Cape Town, South Africa. Proteins were identified using MaxQuant and a custom database generated using de novo sequencing to filter the UniProt database. Taxonomy was assigned using UniProt, and relative abundance of each taxon was determined by aggregating the intensity-based absolute quantification (iBAQ) values of all proteins identified for each taxon. a Proteins identified were assigned to the Eukaryota and Bacteria domains. Eukaryota proteins included those assigned to the fungi kingdom and metazoan subkingdom, while the bacteria domain included actinobacteria, firmicutes, fusobacteria, bacteriodetes, and gammaproteobacter phyla. b Distribution of taxa identified is shown as a pie chart. c Number of proteins detected for taxa for which the greatest number of proteins were identified. d Protein relative abundance per taxon for taxa with the highest relative abundance. The relative abundance of the top 20 most abundant bacterial taxa identified using e 16S rRNA gene sequencing and f metaproteomics is shown for all participants for whom both 16S rRNA gene sequence data and metaproteomics data were generated ( n = 74). For 16S rRNA gene sequence analysis, the V4 region was amplified and libraries sequenced on an Illumina MiSeq platform. Inflammation groups were defined based on hierarchical followed by K-means clustering of all women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. OTU operational taxonomic unit

    Journal: Microbiome

    Article Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection

    doi: 10.1186/s40168-020-00932-8

    Figure Lengend Snippet: Bacterial relative abundance determined using metaproteomics versus 16S rRNA gene sequencing by inflammation cytokine profile. Liquid chromatography-tandem mass spectrometry was used to evaluate the metaproteome in lateral vaginal wall swabs from 113 women from Cape Town, South Africa. Proteins were identified using MaxQuant and a custom database generated using de novo sequencing to filter the UniProt database. Taxonomy was assigned using UniProt, and relative abundance of each taxon was determined by aggregating the intensity-based absolute quantification (iBAQ) values of all proteins identified for each taxon. a Proteins identified were assigned to the Eukaryota and Bacteria domains. Eukaryota proteins included those assigned to the fungi kingdom and metazoan subkingdom, while the bacteria domain included actinobacteria, firmicutes, fusobacteria, bacteriodetes, and gammaproteobacter phyla. b Distribution of taxa identified is shown as a pie chart. c Number of proteins detected for taxa for which the greatest number of proteins were identified. d Protein relative abundance per taxon for taxa with the highest relative abundance. The relative abundance of the top 20 most abundant bacterial taxa identified using e 16S rRNA gene sequencing and f metaproteomics is shown for all participants for whom both 16S rRNA gene sequence data and metaproteomics data were generated ( n = 74). For 16S rRNA gene sequence analysis, the V4 region was amplified and libraries sequenced on an Illumina MiSeq platform. Inflammation groups were defined based on hierarchical followed by K-means clustering of all women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. OTU operational taxonomic unit

    Article Snippet: K-means clustering was used to identify women with low, medium, and high pro-inflammatory cytokine [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ] and chemokine profiles [cutaneous T cell-attracting chemokine (CTACK), eotaxin, growth regulated oncogene (GRO)-α, IL-8, IL-16, IFN-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-3, monokine induced by IFN-γ (MIG), macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated on activation, normal T cell expressed and secreted (RANTES)] (Additional file : Fig. S2).

    Techniques: Metaproteomics, Sequencing, Liquid Chromatography, Mass Spectrometry, Generated, Amplification

    Microbial biological process and cellular component gene ontologies associated with genital inflammatory cytokine profiles. Unsupervised hierarchical clustering of aggregated intensity-based absolute quantification (iBAQ) values for microbial protein a biological process (BP) or b cellular component (CC) gene ontology (GO) relative abundance ( n = 113). GO relative abundance was determined by metaproteomics and aggregation of microbial protein iBAQ values assigned to the same GO term. The heatmaps show aggregated microbial GO relative abundance, and the bar graphs show fold changes in aggregated log 2 -transformed iBAQ values (LOGFC) for each microbial protein with the same a BP or b CC GO in women with high versus low inflammation. Inflammation groups were defined based on hierarchical followed by K-means clustering of women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. Red bars indicate positive and blue bars indicate negative fold changes in women with high versus low inflammation. False discovery rate-adjusted p values are shown by dots, with red dots indicating low p values. Red arrows indicate cell wall and membrane processes and components. BV bacterial vaginosis, Proinflam cyt pro-inflammatory cytokine

    Journal: Microbiome

    Article Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection

    doi: 10.1186/s40168-020-00932-8

    Figure Lengend Snippet: Microbial biological process and cellular component gene ontologies associated with genital inflammatory cytokine profiles. Unsupervised hierarchical clustering of aggregated intensity-based absolute quantification (iBAQ) values for microbial protein a biological process (BP) or b cellular component (CC) gene ontology (GO) relative abundance ( n = 113). GO relative abundance was determined by metaproteomics and aggregation of microbial protein iBAQ values assigned to the same GO term. The heatmaps show aggregated microbial GO relative abundance, and the bar graphs show fold changes in aggregated log 2 -transformed iBAQ values (LOGFC) for each microbial protein with the same a BP or b CC GO in women with high versus low inflammation. Inflammation groups were defined based on hierarchical followed by K-means clustering of women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. Red bars indicate positive and blue bars indicate negative fold changes in women with high versus low inflammation. False discovery rate-adjusted p values are shown by dots, with red dots indicating low p values. Red arrows indicate cell wall and membrane processes and components. BV bacterial vaginosis, Proinflam cyt pro-inflammatory cytokine

    Article Snippet: K-means clustering was used to identify women with low, medium, and high pro-inflammatory cytokine [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ] and chemokine profiles [cutaneous T cell-attracting chemokine (CTACK), eotaxin, growth regulated oncogene (GRO)-α, IL-8, IL-16, IFN-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-3, monokine induced by IFN-γ (MIG), macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated on activation, normal T cell expressed and secreted (RANTES)] (Additional file : Fig. S2).

    Techniques: Metaproteomics, Transformation Assay

    Comparison of bacterial, bacterial protein, and bacterial function relative abundance for prediction of genital inflammation. Random forest analysis was used to evaluate the accuracy of a bacterial relative abundance (determined using 16S rRNA gene sequencing; n = 74), b bacterial functional predictions based on 16 rRNA data ( n = 74), c bacterial protein relative abundance (determined using metaproteomics; n = 74), and d bacterial protein molecular function relative abundance (determined by metaproteomics and aggregation of protein values assigned to the same gene ontology term; n = 74) for determining the presence of genital inflammation (low, medium, and high groups). Inflammation groups were defined based on hierarchical followed by K-means clustering of women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. The bars and numbers within the bars indicate the relative importance of each taxon, protein, or function based on the Mean Decrease in Gini Value. The sizes of bars in each panel differ based on the length of the labels. e Each random forest model was iterated 100 times for each of the input datasets separately, and the distribution of the out-of-bag (OOB) error rates for the 100 models was then compared using t tests. OTU operational taxonomic unit

    Journal: Microbiome

    Article Title: Microbial function and genital inflammation in young South African women at high risk of HIV infection

    doi: 10.1186/s40168-020-00932-8

    Figure Lengend Snippet: Comparison of bacterial, bacterial protein, and bacterial function relative abundance for prediction of genital inflammation. Random forest analysis was used to evaluate the accuracy of a bacterial relative abundance (determined using 16S rRNA gene sequencing; n = 74), b bacterial functional predictions based on 16 rRNA data ( n = 74), c bacterial protein relative abundance (determined using metaproteomics; n = 74), and d bacterial protein molecular function relative abundance (determined by metaproteomics and aggregation of protein values assigned to the same gene ontology term; n = 74) for determining the presence of genital inflammation (low, medium, and high groups). Inflammation groups were defined based on hierarchical followed by K-means clustering of women according to the concentrations of nine pro-inflammatory cytokines [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ]. The bars and numbers within the bars indicate the relative importance of each taxon, protein, or function based on the Mean Decrease in Gini Value. The sizes of bars in each panel differ based on the length of the labels. e Each random forest model was iterated 100 times for each of the input datasets separately, and the distribution of the out-of-bag (OOB) error rates for the 100 models was then compared using t tests. OTU operational taxonomic unit

    Article Snippet: K-means clustering was used to identify women with low, medium, and high pro-inflammatory cytokine [interleukin (IL)-1α, IL-1β, IL-6, IL-12p40, IL-12p70, tumor necrosis factor (TNF)-α, TNF-β, TNF-related apoptosis-inducing ligand (TRAIL), interferon (IFN)-γ] and chemokine profiles [cutaneous T cell-attracting chemokine (CTACK), eotaxin, growth regulated oncogene (GRO)-α, IL-8, IL-16, IFN-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, MCP-3, monokine induced by IFN-γ (MIG), macrophage inflammatory protein (MIP)-1α, MIP-1β, regulated on activation, normal T cell expressed and secreted (RANTES)] (Additional file : Fig. S2).

    Techniques: Sequencing, Functional Assay, Metaproteomics

    NMP- or TXIB-induced increase of Th2 immune response is mediated by reduced IL-12 production by DCs. BMDCs were pulsed for 24 h with OVA (200 µg/ml), some cells in the presence of NMP or TXIB (100 µg/m 3 ), co-cultured with CD4 + T cells from DO11.10 mice or transferred into the trachea of naïve Balb/c mice. As control (CON) DCs only treated with LPS (100 ng/ml) was transferred. From day 10 onward, mice were challenged i.n. with OVA for 3 consecutive days. Cytokine production of DCs before transfer (A), cytokine production of DCs co-cultured with CD4 + T cells from DO11.10 mice (B) and effects of DC transfer on airway inflammation in H E stained lung sections (C), total cell numbers in BAL fluid (D), lung resistance (E), and Th2 cytokine levels in the supernatant of OVA-re-stimulated mediastinal lymphnodes (F) are shown. Data are expressed as mean ± SEM, n ≥ 9 animals per group; * p

    Journal: PLoS ONE

    Article Title: Volatile Organic Compounds Enhance Allergic Airway Inflammation in an Experimental Mouse Model

    doi: 10.1371/journal.pone.0039817

    Figure Lengend Snippet: NMP- or TXIB-induced increase of Th2 immune response is mediated by reduced IL-12 production by DCs. BMDCs were pulsed for 24 h with OVA (200 µg/ml), some cells in the presence of NMP or TXIB (100 µg/m 3 ), co-cultured with CD4 + T cells from DO11.10 mice or transferred into the trachea of naïve Balb/c mice. As control (CON) DCs only treated with LPS (100 ng/ml) was transferred. From day 10 onward, mice were challenged i.n. with OVA for 3 consecutive days. Cytokine production of DCs before transfer (A), cytokine production of DCs co-cultured with CD4 + T cells from DO11.10 mice (B) and effects of DC transfer on airway inflammation in H E stained lung sections (C), total cell numbers in BAL fluid (D), lung resistance (E), and Th2 cytokine levels in the supernatant of OVA-re-stimulated mediastinal lymphnodes (F) are shown. Data are expressed as mean ± SEM, n ≥ 9 animals per group; * p

    Article Snippet: NMP- and TXIB-induced Increase of Th2 Immune Response is Mediated by Reduced IL-12 Production of DCs To verify the role of DCs and their modulated function after VOC-exposure, we pulsed DCs with OVA (Sigma, endotoxin activity: 36.04±2.80 EU/20 µg OVA which correspond to 3.6 ng LPS) and exposed the cells with NMP and TXIB (100 µg/m3 ) for 24 hours ( ).

    Techniques: Cell Culture, Mouse Assay, Staining

    Tc1 conditions can restore perforin expression in CD8 + T cells from sentinel nodes. CD8 + T cells sorted from sentinel node (SN) were cultured in Tc1 conditions in vitro for seven days in order to rescue perforin expression. These SN-derived CD8 + T cells were stimulated with anti-CD3 and anti-CD28 stimulating antibodies with the presence of IL-12 and IL-2 cytokines, as well as an anti-IL-4 neutralizing antibody. At the end of the culture, cells were analyzed by flow cytometry and RT-qPCR. ( A ) Dot plots showed the flow cytometry data from a representative patient for granzyme B vs. perforin expression, before and after the stimulation. The gate was based on isotype control and the frequency of granzyme B and perforin expression was counted out of CD8 + T cells. ( B ) Flow cytometry result of T-bet expression percentage from CD8 + T cells pre- and post-stimulation was analyzed. The frequency of T-bet expression was calculated from CD8 + T cells. ( C ) TBX21 and GATA3 gene expression analysis was done by RT-qPCR from cells in different culture conditions. RPII gene was used as housekeeping gene and the fold change was calculated based on cells without IL-12 and anti-IL-4 as control using 2 -ΔΔCt method.

    Journal: PLoS ONE

    Article Title: Urothelial bladder cancer may suppress perforin expression in CD8+ T cells by an ICAM-1/TGFβ2 mediated pathway

    doi: 10.1371/journal.pone.0200079

    Figure Lengend Snippet: Tc1 conditions can restore perforin expression in CD8 + T cells from sentinel nodes. CD8 + T cells sorted from sentinel node (SN) were cultured in Tc1 conditions in vitro for seven days in order to rescue perforin expression. These SN-derived CD8 + T cells were stimulated with anti-CD3 and anti-CD28 stimulating antibodies with the presence of IL-12 and IL-2 cytokines, as well as an anti-IL-4 neutralizing antibody. At the end of the culture, cells were analyzed by flow cytometry and RT-qPCR. ( A ) Dot plots showed the flow cytometry data from a representative patient for granzyme B vs. perforin expression, before and after the stimulation. The gate was based on isotype control and the frequency of granzyme B and perforin expression was counted out of CD8 + T cells. ( B ) Flow cytometry result of T-bet expression percentage from CD8 + T cells pre- and post-stimulation was analyzed. The frequency of T-bet expression was calculated from CD8 + T cells. ( C ) TBX21 and GATA3 gene expression analysis was done by RT-qPCR from cells in different culture conditions. RPII gene was used as housekeeping gene and the fold change was calculated based on cells without IL-12 and anti-IL-4 as control using 2 -ΔΔCt method.

    Article Snippet: SN-derived CD8+ T cells were cultured in vitro in the presence of recombinant human IL-12, IL-2 cytokines, and anti-IL-4 neutralizing antibody, in the presence of activating anti-CD3 and anti-CD28 antibodies for seven days.

    Techniques: Expressing, Cell Culture, In Vitro, Derivative Assay, Flow Cytometry, Cytometry, Quantitative RT-PCR