carbenicillin  (Formedium)

 
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    Formedium carbenicillin
    Carbenicillin, supplied by Formedium, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Formedium)

     
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    Formedium carbenicillin
    Carbenicillin, supplied by Formedium, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Thermo Fisher)


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    Thermo Fisher carbenicillin
    Carbenicillin, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Millipore)

     
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    Millipore carbenicillin
    Carbenicillin, supplied by Millipore, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (New England Biolabs)


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    New England Biolabs carbenicillin
    Carbenicillin, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Thermo Fisher)


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    Thermo Fisher carbenicillin
    Carbenicillin, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Qiagen)


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    Qiagen carbenicillin
    Carbenicillin, supplied by Qiagen, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Qiagen)


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    Qiagen carbenicillin
    Carbenicillin, supplied by Qiagen, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Welgene inc)

     
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    Welgene inc carbenicillin
    Carbenicillin, supplied by Welgene inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    carbenicillin  (Millipore)

     
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    Millipore carbenicillin
    Exploring the relationship between antibiotic concentration dependence (represented by the Hill exponent n ) and growth rate heterogeneity (GRH, here represented by std in growth rates) for different classes of antibiotics in E . coli, P . aeruginosa and S . aureus . A showing how the E . coli growth rate Hill fit for <t>carbenicillin</t> changes over time. Initially, the area growth rate is larger for all concentrations as the cells exposed to high concentrations of antibiotics swell up. After 2.5 hours, we see a sharp drop from viable pads to those where the antibiotic induces lysis. This 2.5-hour time-point is used for subsequent values of n , with corresponding values for IC 10 , IC 50 = h and IC 90 represented by vertical green lines. B The variation in growth rate on a single pad is computed and averaged across repeats in the 1 to 2.5-hour time period. We call this metric GRH. We see that the high concentrations of antibiotics produce a much higher variation in growth rate between the colonies and that this change is linked to the MIC. C Combining the Hill exponent n from A and GRH from B shows some trends in behaviour between the antibiotic classes here in E . coli . The data points represent the mean and std across repeats, with at least four repeats per condition. Each hue represents a separate antibiotic, and each symbol represents the action mechanism of that antibiotic. The vertical line signifies the mean value for the negative control, giving a benchmark for how the bacteria behave without antibiotics present. D Same scatterplot for S . aureus . E Same scatterplot for P . aeruginosa . F Normalizing the growth rate heterogeneity by the antibiotic-free growth rate and plotting data for all species, we see some clustering. The shaded area represents the kernel density estimate (KDE) plot of the classes, showing the smoothed 2D probability density functions. Hues represent the different classes of antibiotics, and the symbols and sizes represent the bacteria species. The vertical lines represent the normalized mean GRH for the negative controls for E . coli, P . aeruginosa , and S . aureus , respectively (from left to right).
    Carbenicillin, supplied by Millipore, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/carbenicillin/product/Millipore
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    1) Product Images from "Antibiotics Change the Growth Rate Heterogeneity and Morphology of Bacteria"

    Article Title: Antibiotics Change the Growth Rate Heterogeneity and Morphology of Bacteria

    Journal: bioRxiv

    doi: 10.1101/2024.08.27.609914

    Exploring the relationship between antibiotic concentration dependence (represented by the Hill exponent n ) and growth rate heterogeneity (GRH, here represented by std in growth rates) for different classes of antibiotics in E . coli, P . aeruginosa and S . aureus . A showing how the E . coli growth rate Hill fit for carbenicillin changes over time. Initially, the area growth rate is larger for all concentrations as the cells exposed to high concentrations of antibiotics swell up. After 2.5 hours, we see a sharp drop from viable pads to those where the antibiotic induces lysis. This 2.5-hour time-point is used for subsequent values of n , with corresponding values for IC 10 , IC 50 = h and IC 90 represented by vertical green lines. B The variation in growth rate on a single pad is computed and averaged across repeats in the 1 to 2.5-hour time period. We call this metric GRH. We see that the high concentrations of antibiotics produce a much higher variation in growth rate between the colonies and that this change is linked to the MIC. C Combining the Hill exponent n from A and GRH from B shows some trends in behaviour between the antibiotic classes here in E . coli . The data points represent the mean and std across repeats, with at least four repeats per condition. Each hue represents a separate antibiotic, and each symbol represents the action mechanism of that antibiotic. The vertical line signifies the mean value for the negative control, giving a benchmark for how the bacteria behave without antibiotics present. D Same scatterplot for S . aureus . E Same scatterplot for P . aeruginosa . F Normalizing the growth rate heterogeneity by the antibiotic-free growth rate and plotting data for all species, we see some clustering. The shaded area represents the kernel density estimate (KDE) plot of the classes, showing the smoothed 2D probability density functions. Hues represent the different classes of antibiotics, and the symbols and sizes represent the bacteria species. The vertical lines represent the normalized mean GRH for the negative controls for E . coli, P . aeruginosa , and S . aureus , respectively (from left to right).
    Figure Legend Snippet: Exploring the relationship between antibiotic concentration dependence (represented by the Hill exponent n ) and growth rate heterogeneity (GRH, here represented by std in growth rates) for different classes of antibiotics in E . coli, P . aeruginosa and S . aureus . A showing how the E . coli growth rate Hill fit for carbenicillin changes over time. Initially, the area growth rate is larger for all concentrations as the cells exposed to high concentrations of antibiotics swell up. After 2.5 hours, we see a sharp drop from viable pads to those where the antibiotic induces lysis. This 2.5-hour time-point is used for subsequent values of n , with corresponding values for IC 10 , IC 50 = h and IC 90 represented by vertical green lines. B The variation in growth rate on a single pad is computed and averaged across repeats in the 1 to 2.5-hour time period. We call this metric GRH. We see that the high concentrations of antibiotics produce a much higher variation in growth rate between the colonies and that this change is linked to the MIC. C Combining the Hill exponent n from A and GRH from B shows some trends in behaviour between the antibiotic classes here in E . coli . The data points represent the mean and std across repeats, with at least four repeats per condition. Each hue represents a separate antibiotic, and each symbol represents the action mechanism of that antibiotic. The vertical line signifies the mean value for the negative control, giving a benchmark for how the bacteria behave without antibiotics present. D Same scatterplot for S . aureus . E Same scatterplot for P . aeruginosa . F Normalizing the growth rate heterogeneity by the antibiotic-free growth rate and plotting data for all species, we see some clustering. The shaded area represents the kernel density estimate (KDE) plot of the classes, showing the smoothed 2D probability density functions. Hues represent the different classes of antibiotics, and the symbols and sizes represent the bacteria species. The vertical lines represent the normalized mean GRH for the negative controls for E . coli, P . aeruginosa , and S . aureus , respectively (from left to right).

    Techniques Used: Concentration Assay, Lysis, Negative Control, Bacteria

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    Formedium carbenicillin
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    carbenicillin  (New England Biolabs)
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    carbenicillin  (Qiagen)
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