Ranade, Ameya Vinay - Understanding Milk Protein Adsorption as a Model to Study Sample Loss in Proteomics...

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Term: 
Fall 2017
Degree: 
M.Sc.
Degree type: 
Thesis
Department: 
Department of Chemistry
Faculty: 
Science
Senior supervisor: 
Bingyun Sun
Thesis title: 
Understanding Milk Protein Adsorption as a Model to Study Sample Loss in Proteomics
Given Names: 
Ameya Vinay
Surname: 
Ranade
Abstract: 
Non-specific protein adsorption is one of the causes of sample loss in biological experiments. This is a cause of concern in studies where samples are complex and many of the constituent proteins are low abundant, unquantified or unidentified. Since the proteins are irreversibly lost from the samples, it eludes their detection and their role in biological systems cannot be ascertained. This sample loss is unpredictable and non-reproducible which leads to distorted data. On an industrial scale, non-specific adsorption of proteins on machinery may reduce the machine’s efficiency and life. Similarly, unaccounted sample loss due to adsorption during storage contributes to transmission losses to the manufacturer. Various external factors affect protein adsorption that can be exploited to reduce sample loss. In this work, we studied milk proteome adsorption and attempted to quantify the effect of three prominent external factors on the differential adsorption pattern of milk proteins. For this project, we optimized an in-house developed DPA method based on SDS-PAGE, which not only is tag-less and MS compatible but also fast and economical.
Keywords: 
Non-specific protein adsorption, DPA-SDS-PAGE, sample loss, external factors
Total pages: 
89