Blot out data in 602

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Aug 6th, 2022
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How to blot out data in 602

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hello everyone my name is Sean Taylor Iamp;#39;m a field application scientist with bio-rad in Canada and this presentation is for all of you folks out there who are having trouble doing quantitative Western blotting so people who are getting unreliable or unreproducible or uninterpretable results between the dead symmetric analysis of their bands across a variety of experiments between blots so Iamp;#39;m hoping what Iamp;#39;ll do today is enlighten you on how to achieve excellent quantification of your data for Western blotting now the presentation that Iamp;#39;m giving you right now it wonamp;#39;t take very long itamp;#39;s 9 slides and basically what Iamp;#39;m going to do is go through the figures of a paper that we recently published in molecular biotechnology and Iamp;#39;m the first author on the paper so you can look that up on NCBI weamp;#39;ve made it open access for you so anyone can download this and use it as a guide to help you with your Western blotting expe

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To know how to analyze western blot data, Look for the sizes of the bands. These will be represented by a number, either followed by kDa or preceded by p. This is the size of the protein which has been detected and is the scale on which the proteins are separated in a Western blot.
To obtain linear signals with the majority of western blots, we recommend loading smaller amounts of protein sample between 1 and 10 g per well. To avoid under- or overloading samples, determine the protein concentration of each sample prior to electrophoresis with a compatible protein assay.
In Western blotting, densitometry quantitates proteins within the linear dynamic range of a chosen detection method. Detection methods include colorimetry and immunoblotting (via chemiluminescence, fluorescence, and radiolabeling). Software algorithms determine the density of signal across a selected area.
Centre the band inside the frame and use the Ctrl+M keyboard shortcut to record a measurement (Command+M on Mac or alternatively by clicking Measure under the Analyze menu). This will open the measurement window and display your data in order.
Step 1: Determine the background-subtracted densities of your protein of interest (PI) and the normalizing control (NC). Step 2: Identify the NC that has the highest density value. Step 3: Divide all the NC values by the highest NC density value to get a relative NC value.

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