#Loading control western blot software#
#Loading control western blot series#

Identification of the appropriate model for O.D. data can violate this assumption and in these cases is better modelled with nonproportional linear functions (equation y = mx + b) or nonlinear hyperbolic functions. Recent studies have, however, shown that O.D. data, and only rarely are experimental data supporting this assumption included in published studies. It is commonly assumed that this model fits O.D. data are proportional to protein/PTM abundance and are therefore best modelled with linear regression through the origin (henceforth referred to as the directly proportional or proportional linear model, equation y = mx). with minor vendor-vendor variations in implementation.

#Loading control western blot software#

All dedicated Western blot analysis software from major suppliers provides the ability to measure O.D. values from the background-corrected band intensity and band area of the protein/PTM of interest. Non-detector saturated images are used for quantitation, and protein/PTM abundance is most often measured using an optical density (O.D.) algorithm, which calculates O.D. Each pixel in these digital images is assigned an intensity value that is related to the number of photons detected by the corresponding pixel in the sensor until it reaches saturation. The development and widespread uptake of modern imaging devices that capture digital images of Western blots, visualised through chemiluminescence or fluorescence detection, have resulted in the assumption of quantitative Western blotting in the literature. Western blotting is routinely used to detect proteins and their posttranslational modifications (PTM) in biological samples. These findings apply to all Western blot studies, and we highlight quality control checks that should be performed to make Western blot data more quantitative. Using spiked proteins in a way that allowed us to control the total protein amount per lane, while only changing the amount of spiked proteins, we confirm that nonlinearity and saturation of densitometry data, and errors introduced from normalisation processes, can occur in routine assays that compare equal amounts of lysate. We also confirm that when data to be normalised are not directly proportional to protein abundance, it is a mistake to use the normalisation technique of dividing densitometry data from the protein-of-interest with densitometry data from loading control protein(s), as this can cause the normalised data to be unusable for making comparisons. We confirm that ghosting artefacts associated with overabundance of proteins of interest in Western blots can skew findings. Nonlinear densitometry data were observed when Western blots were detected using infrared fluorescence or chemiluminescence, and under different SDS-PAGE conditions. While ideal densitometry data are directly proportional to protein abundance, our data confirm that densitometry data often deviate from this ideal, in which case they can fit nonproportional linear or hyperbolic mathematical models and can reach saturation. Proteins analysed included αSMA, HSP27, ERK1/2, and GAPDH.

#Loading control western blot series#

We ran dilution series of protein lysates to explore the linearity of densitometry data. We assessed the reliability of Western blot data obtained to study human myometrial tissue proteins. These violations can lead to erroneous interpretations of data and may contribute to poor reproducibility of research. In the last decade, it has become apparent that assumptions underpinning these comparisons are often violated in studies reporting Western blot data in the literature.

Loading Control Antibody Sampler Kits No.Densitometry data generated for Western blots are commonly used to compare protein abundance between samples. Loading Control Antibodies Loading Control Use loading controls you trust for the most reliable experimental results. If your loading control is questionable, it can create doubt about all of your results. You need to trust that your loading control is sensitive and specific to its target protein. Selecting the right loading control antibody is determined by the molecular weight of the other targets being studied, subcellular fraction of the sample, and the cell and tissue types being evaluated. Proteins used as loading controls are typically selected for their ubiquitous expression across all cell lines and tissues as well as their abundance. This is critically important to aid in the interpretation of western blot results. Loading control antibodies are used to determine equal loading as well as the quality of the samples.