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Quantity one

Manufactured by LI COR

Quantity One is a powerful software tool for image analysis and data management. It provides users with a comprehensive set of tools for quantifying and analyzing digital images, making it a valuable asset for researchers and scientists working in various fields.

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6 protocols using quantity one

1

Quantitative Western Blot Analysis

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Statistical analysis was performed using Prism 5 software (GraphPad Software). Details on statistical analysis and experimental design, including tests performed, exact p values, and sample sizes are provided in the result section describing each figure, or within the legend of each figure. For biochemistry experiment, subunit integrated density values (IDVs) were quantified on western blots by using the Quantity One or Odyssey fluorescence imaging system (Li-Cor). The fluorescence intensity values were quantified by using ImageJ. All data were expressed as mean ± S.E.M values. Analysis of variance (ANOVA), including one-way and two-way ANOVA, and unpaired Student t tests were used. Post hoc and a priori Bonferroni comparisons or Newman-Keuls Multiple Comparison test were conducted to evaluate individual mean comparisons where appropriate. All analyses used an alpha level of 0.05 to determine statistical significance.
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2

Quantitative Analysis of Protein Levels

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Protein integrated density values (IDVs) were quantified by using the Quantity One or Odessy fluorescence imaging system (Li-Cor). Data were expressed as mean ± SEM values and analyzed with GraphPad Prism 5.0 software. Statistical significance was determined by a Student’s unpaired t test, One-way or two-way ANOVA test with post hoc test for multiple comparisons. All analyses used an alpha level of 0.05 to determine statistical significance. Data were presented as Mean ± SEM.
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3

Quantitative Analysis of Protein Expression

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IDVs were quantified by using the Quantity One or Odessy fluorescence imaging system (Li-Cor). The fluorescence intensity values were quantified by using ImageJ. Data were expressed as mean ± S.E.M values and analyzed with Graphpad Prism 5.0 software. Statistical significance of immunoblot and cell imaging data was determined by two-way ANOVA with Bonferroni posttests, a Student’s unpaired t test or, if appropriate, single-value t test. For the comparison of GABAergic mIPSC electrophysiology data, a Kolmogorov-Smirnov test was used to determine the cumulative probabilities, the distribution of wild-type and the mutant mIPSC peak amplitudes. The behavioral data was analyzed by a distribution-free Mann-Whitney U test as well as Student’s t test. No statistical methods were used to pre-determine sample sizes, but our sample sizes are similar to those reported in previous publications 10 (link), 19 (link)–20 (link). Data distribution was assumed to be normal, but this was not formally tested. All analyses used an alpha level of 0.05 to determine statistical significance.
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4

Protein Quantification and Statistical Analysis

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Protein integrated density values (IDVs) were quantified by using the Quantity One or Odyssey fluorescence imaging system (Li-Cor). Images were quantified by ImageJ software. Data were expressed as mean ± S.E.M values and analyzed with Graphpad Prism 5.0 software. Statistical significance of immunoblot, cell imaging and qRT-PCR data was determined by a Student’s unpaired t test or, if appropriate, single value t test. All analyses used an alpha level of 0.05 to determine statistical significance.
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5

Quantitative ELISA and Immunoblotting Analysis

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For ELISA, the optical density value for each condition was calculated based on the formulae of the standard. For biochemistry experiment, subunit integrated density values (IDVs) were quantified on immunoblots by using the Quantity One or Odyssey fluorescence imaging system (Li-Cor). The fluorescence intensity values were quantified by using ImageJ. Statistical analysis was performed using Prism 8 software (GraphPad Software). Details on statistical analysis and experimental design, including tests performed, exact p values, and sample sizes are provided in the result section describing each figure, or within the legend of each figure. All data were expressed as mean ± S.E.M values. Analysis of variance (ANOVA), including one-way and two-way ANOVA, unpaired Student t tests, one sample t test were used. Post hoc and a priori Bonferroni comparisons or Newman-Keuls Multiple Comparison test were conducted to evaluate individual mean comparisons where appropriate. All analyses used an alpha level of 0.05 to determine statistical significance.
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6

Quantitative Analysis of Protein Expression

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IDVs were quantified by using the Quantity One or Odessy fluorescence imaging system (Li-Cor). The fluorescence intensity values were quantified by using ImageJ. Data were expressed as mean ± S.E.M values and analyzed with Graphpad Prism 5.0 software. Statistical significance of immunoblot and cell imaging data was determined by two-way ANOVA with Bonferroni posttests, a Student’s unpaired t test or, if appropriate, single-value t test. For the comparison of GABAergic mIPSC electrophysiology data, a Kolmogorov-Smirnov test was used to determine the cumulative probabilities, the distribution of wild-type and the mutant mIPSC peak amplitudes. The behavioral data was analyzed by a distribution-free Mann-Whitney U test as well as Student’s t test. No statistical methods were used to pre-determine sample sizes, but our sample sizes are similar to those reported in previous publications 10 (link), 19 (link)–20 (link). Data distribution was assumed to be normal, but this was not formally tested. All analyses used an alpha level of 0.05 to determine statistical significance.
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