Journal: Biophysical Journal

Article Title: Simultaneous Release of Multiple Vesicles from Rods Involves Synaptic Ribbons and Syntaxin 3B

doi: 10.1016/j.bpj.2019.10.006

Figure Lengend Snippet: Amplitude characteristics of spontaneous IA(glu) events are consistent with multiquantal release. (A) Spontaneous multiquantal events were observed among many uniquantal events in rods voltage clamped at −70 mV. (B) Shown is a representative amplitude histogram of spontaneous rod IA(glu) events (n = 325) fit with a multiple Gaussian function. The inset shows a representative segment of the recording from which the histogram was derived. By assuming that the mean ± SD of the initial peak represents a single quantum, quantal content for this cell was calculated as a weighted average of the areas under the curve and found to be 1.69. (C) Amplitude of IA(glu) events (n = 339) was strongly correlated with event charge transfer (R = 0.99) with nonzero slope (F-test, p < 0.0001).

Article Snippet: Events within one SD of the mean of the first peak were considered “uniquantal,” and remaining larger events were considered “multiquantal.” Quantal content was calculated from weighted averages of the area under the curves from a multiple Gaussian fit (GraphPad Prism 4).

Techniques: Derivative Assay

Journal: Analytical Chemistry

Article Title: Decoupling Protein Concentration and Aggregate Content Using Diffusion and Water NMR

doi: 10.1021/acs.analchem.3c05875

Figure Lengend Snippet: Plots showing the effect of aggregate percentage on R 2 ( 1 H 2 O) for BSA (A) and mAb (B) solutions over a range of different concentrations. The solid lines represent linear regression fits to individual sample concentrations (as determined in MATLAB 2022a [MathWorks, US]), and the blue-shaded areas represent 95% confidence intervals calculated from average of the standard error of all data points for each protein. The 95% confidence intervals are multiplied by a factor of 5 for visibility. Sample errors were determined by taking the standard error of the arithmetic mean of three sample measurements; values can be found in the Tables S2 and S3 . Error bars are excluded for clarity where the errors are smaller than the symbols used.

Article Snippet: To calculate the aggregate percentage for each mAb sample, the built-in Curve Fitting Tool in MATLAB 2022a (MathWorks, US) was used to generate a Gaussian fit for the protein peaks with multiple components used if required.

Techniques:

Journal: Analytical Chemistry

Article Title: Decoupling Protein Concentration and Aggregate Content Using Diffusion and Water NMR

doi: 10.1021/acs.analchem.3c05875

Figure Lengend Snippet: Plots showing the effect of aggregate percentage on D ( 1 H 2 O) for BSA (A) and mAb (B) solutions over a range of different concentrations. The solid lines represent linear regression fits to individual sample concentrations (as determined in MATLAB 2022a [MathWorks, US]), and the blue-shaded areas represent 95% confidence intervals calculated from average of the standard error of all data points for each protein. Individual data point errors were determined by taking the standard error of the arithmetic mean of three sample measurements; values can be found in Tables S2 and S3 .

Article Snippet: To calculate the aggregate percentage for each mAb sample, the built-in Curve Fitting Tool in MATLAB 2022a (MathWorks, US) was used to generate a Gaussian fit for the protein peaks with multiple components used if required.

Techniques: