Guogeng Jia, Jinjun Gao, Fan Yang, Tianyu Feng, Chu Wang
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引用次数: 1
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.
期刊介绍：
The critically acclaimed laboratory standard for almost 50 years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 500 volumes the series contains much material still relevant today and is truly an essential publication for researchers in all fields of life sciences, including microbiology, biochemistry, cancer research and genetics-just to name a few. Five of the 2013 Nobel Laureates have edited or contributed to volumes of MIE.
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