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gompertz non-linear regression  (GraphPad Software Inc)


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    GraphPad Software Inc gompertz non-linear regression
    (A) STm growth in M9I is initially slow, but after subsequent subcultures, it adapts and increases its growth rate. Logarithmic growth curves are shown with the bands denoting the standard error of each fit. (B) STm wt and IRO mutants grown in M9A and M9I, blue: growth and red: no growth. (C) Biofilm production by STm when grown in MHB, M9A, and M9I in 96-well plates. Biofilm was measured by crystal violet staining of the biomass, solubilizing and measuring the OD550. The measurements were normalized based on the planktonic growth (OD600) in each well. The data is given as a ratio of biofilm to planktonic growth; n ≥ 8, one-way ANOVA (with Tukey’s multiple comparisons test between groups). (D) Itaconate MICs for each of the STm IRO mutants measured in M9A. Data is presented as the percentage of growth (OD600) compared to the untreated control for each mutant, fit to a <t>Gompertz</t> MIC curve. Error bars denote the SD; n = 4. The MICs are tabulated. (E) Biofilm levels produced in the same itaconate MIC experiment as shown in D. The data is presented as a percentage of the amount of biofilm produced by the untreated control, for each mutant. Straight lines are used to connect the datapoints. (F and G) Intracellular survival of various STm mutants in RAW 264.7 macrophages, measured using a gentamicin protection assay. STm wt was compared with (F) the IRO mutants or (G) M9I-adapted STm. Error bars denote the 95 % CI of the mean. One-way ANOVA (with Dunnett’s multiple comparisons test with the wt) and two-tailed t-test used for comparing groups, respectively. All experiments were repeated a minimum of 3 times. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; ns, non-significant, p > 0.05.
    Gompertz Non Linear Regression, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 1 article reviews
    gompertz non-linear regression - by Bioz Stars, 2026-09
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    1) Product Images from "Metabolic and genomic adaptations of Salmonella Typhimurium grown on itaconate"

    Article Title: Metabolic and genomic adaptations of Salmonella Typhimurium grown on itaconate

    Journal: bioRxiv

    doi: 10.1101/2025.06.20.660670

    (A) STm growth in M9I is initially slow, but after subsequent subcultures, it adapts and increases its growth rate. Logarithmic growth curves are shown with the bands denoting the standard error of each fit. (B) STm wt and IRO mutants grown in M9A and M9I, blue: growth and red: no growth. (C) Biofilm production by STm when grown in MHB, M9A, and M9I in 96-well plates. Biofilm was measured by crystal violet staining of the biomass, solubilizing and measuring the OD550. The measurements were normalized based on the planktonic growth (OD600) in each well. The data is given as a ratio of biofilm to planktonic growth; n ≥ 8, one-way ANOVA (with Tukey’s multiple comparisons test between groups). (D) Itaconate MICs for each of the STm IRO mutants measured in M9A. Data is presented as the percentage of growth (OD600) compared to the untreated control for each mutant, fit to a Gompertz MIC curve. Error bars denote the SD; n = 4. The MICs are tabulated. (E) Biofilm levels produced in the same itaconate MIC experiment as shown in D. The data is presented as a percentage of the amount of biofilm produced by the untreated control, for each mutant. Straight lines are used to connect the datapoints. (F and G) Intracellular survival of various STm mutants in RAW 264.7 macrophages, measured using a gentamicin protection assay. STm wt was compared with (F) the IRO mutants or (G) M9I-adapted STm. Error bars denote the 95 % CI of the mean. One-way ANOVA (with Dunnett’s multiple comparisons test with the wt) and two-tailed t-test used for comparing groups, respectively. All experiments were repeated a minimum of 3 times. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; ns, non-significant, p > 0.05.
    Figure Legend Snippet: (A) STm growth in M9I is initially slow, but after subsequent subcultures, it adapts and increases its growth rate. Logarithmic growth curves are shown with the bands denoting the standard error of each fit. (B) STm wt and IRO mutants grown in M9A and M9I, blue: growth and red: no growth. (C) Biofilm production by STm when grown in MHB, M9A, and M9I in 96-well plates. Biofilm was measured by crystal violet staining of the biomass, solubilizing and measuring the OD550. The measurements were normalized based on the planktonic growth (OD600) in each well. The data is given as a ratio of biofilm to planktonic growth; n ≥ 8, one-way ANOVA (with Tukey’s multiple comparisons test between groups). (D) Itaconate MICs for each of the STm IRO mutants measured in M9A. Data is presented as the percentage of growth (OD600) compared to the untreated control for each mutant, fit to a Gompertz MIC curve. Error bars denote the SD; n = 4. The MICs are tabulated. (E) Biofilm levels produced in the same itaconate MIC experiment as shown in D. The data is presented as a percentage of the amount of biofilm produced by the untreated control, for each mutant. Straight lines are used to connect the datapoints. (F and G) Intracellular survival of various STm mutants in RAW 264.7 macrophages, measured using a gentamicin protection assay. STm wt was compared with (F) the IRO mutants or (G) M9I-adapted STm. Error bars denote the 95 % CI of the mean. One-way ANOVA (with Dunnett’s multiple comparisons test with the wt) and two-tailed t-test used for comparing groups, respectively. All experiments were repeated a minimum of 3 times. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; ns, non-significant, p > 0.05.

    Techniques Used: Staining, Control, Mutagenesis, Produced, Two Tailed Test

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    (A) STm growth in M9I is initially slow, but after subsequent subcultures, it adapts and increases its growth rate. Logarithmic growth curves are shown with the bands denoting the standard error of each fit. (B) STm wt and IRO mutants grown in M9A and M9I, blue: growth and red: no growth. (C) Biofilm production by STm when grown in MHB, M9A, and M9I in 96-well plates. Biofilm was measured by crystal violet staining of the biomass, solubilizing and measuring the OD550. The measurements were normalized based on the planktonic growth (OD600) in each well. The data is given as a ratio of biofilm to planktonic growth; n ≥ 8, one-way ANOVA (with Tukey’s multiple comparisons test between groups). (D) Itaconate MICs for each of the STm IRO mutants measured in M9A. Data is presented as the percentage of growth (OD600) compared to the untreated control for each mutant, fit to a Gompertz MIC curve. Error bars denote the SD; n = 4. The MICs are tabulated. (E) Biofilm levels produced in the same itaconate MIC experiment as shown in D. The data is presented as a percentage of the amount of biofilm produced by the untreated control, for each mutant. Straight lines are used to connect the datapoints. (F and G) Intracellular survival of various STm mutants in RAW 264.7 macrophages, measured using a gentamicin protection assay. STm wt was compared with (F) the IRO mutants or (G) M9I-adapted STm. Error bars denote the 95 % CI of the mean. One-way ANOVA (with Dunnett’s multiple comparisons test with the wt) and two-tailed t-test used for comparing groups, respectively. All experiments were repeated a minimum of 3 times. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; ns, non-significant, p > 0.05.

    Journal: bioRxiv

    Article Title: Metabolic and genomic adaptations of Salmonella Typhimurium grown on itaconate

    doi: 10.1101/2025.06.20.660670

    Figure Lengend Snippet: (A) STm growth in M9I is initially slow, but after subsequent subcultures, it adapts and increases its growth rate. Logarithmic growth curves are shown with the bands denoting the standard error of each fit. (B) STm wt and IRO mutants grown in M9A and M9I, blue: growth and red: no growth. (C) Biofilm production by STm when grown in MHB, M9A, and M9I in 96-well plates. Biofilm was measured by crystal violet staining of the biomass, solubilizing and measuring the OD550. The measurements were normalized based on the planktonic growth (OD600) in each well. The data is given as a ratio of biofilm to planktonic growth; n ≥ 8, one-way ANOVA (with Tukey’s multiple comparisons test between groups). (D) Itaconate MICs for each of the STm IRO mutants measured in M9A. Data is presented as the percentage of growth (OD600) compared to the untreated control for each mutant, fit to a Gompertz MIC curve. Error bars denote the SD; n = 4. The MICs are tabulated. (E) Biofilm levels produced in the same itaconate MIC experiment as shown in D. The data is presented as a percentage of the amount of biofilm produced by the untreated control, for each mutant. Straight lines are used to connect the datapoints. (F and G) Intracellular survival of various STm mutants in RAW 264.7 macrophages, measured using a gentamicin protection assay. STm wt was compared with (F) the IRO mutants or (G) M9I-adapted STm. Error bars denote the 95 % CI of the mean. One-way ANOVA (with Dunnett’s multiple comparisons test with the wt) and two-tailed t-test used for comparing groups, respectively. All experiments were repeated a minimum of 3 times. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; ns, non-significant, p > 0.05.

    Article Snippet: The data was fit to a Gompertz non-linear regression [ ], allowing for calculation of the MIC using Graphpad Prism v9.0.

    Techniques: Staining, Control, Mutagenesis, Produced, Two Tailed Test

    Fig. 1. Kaplan Meier (K-M) observed rates and Gompertz estimates of functional decline.

    Journal: Journal of Alzheimer's Disease

    Article Title: Predicting Disease Progression in Alzheimer's Disease: The Role of Neuropsychiatric Syndromes on Functional and Cognitive Decline

    doi: 10.3233/jad-2010-101836

    Figure Lengend Snippet: Fig. 1. Kaplan Meier (K-M) observed rates and Gompertz estimates of functional decline.

    Article Snippet: The relative hazard ratios (HR) of disease progression with 95% confidence intervals were calculated with Gompertz regression using STATA 11 [26].

    Techniques: Functional Assay

    Fig. 2. Kaplan Meier (K-M) observed rates and Gompertz estimates of cognitive decline.

    Journal: Journal of Alzheimer's Disease

    Article Title: Predicting Disease Progression in Alzheimer's Disease: The Role of Neuropsychiatric Syndromes on Functional and Cognitive Decline

    doi: 10.3233/jad-2010-101836

    Figure Lengend Snippet: Fig. 2. Kaplan Meier (K-M) observed rates and Gompertz estimates of cognitive decline.

    Article Snippet: The relative hazard ratios (HR) of disease progression with 95% confidence intervals were calculated with Gompertz regression using STATA 11 [26].

    Techniques: