Abstract
Selenoproteins play crucial roles including protection and recovery from oxidative stress in organisms. Direct profiling of selenoproteins in proteomes is challenging due to their extremely low abundance. We have developed a computational algorithm termed selenium-encoded isotopic signature targeted profiling (SESTAR) to increase the sensitivity of detecting selenoproteins in complex proteomic samples. In this chapter, we briefly described the basic algorithm of SESTAR. We then introduced SESTAR++, an updated version of SESTAR, with accelerated computation speed and lowered false positive rate. We also provided a detailed workflow to apply SESTAR++ to proteomic profiling of selenoproteins, including the instruction of running the software and implementing it in a targeted profiling mode.
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