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Selenium-Encoded Isotopic Signature Targeted Profiling
[Image: see text] Selenium (Se), as an essential trace element, plays crucial roles in many organisms including humans. The biological functions of selenium are mainly mediated by selenoproteins, a unique class of selenium-containing proteins in which selenium is inserted in the form of selenocystei...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107865/ https://www.ncbi.nlm.nih.gov/pubmed/30159393 http://dx.doi.org/10.1021/acscentsci.8b00112 |
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author | Gao, Jinjun Yang, Fan Che, Jinteng Han, Yu Wang, Yankun Chen, Nan Bak, Daniel W. Lai, Shuchang Xie, Xiao Weerapana, Eranthie Wang, Chu |
author_facet | Gao, Jinjun Yang, Fan Che, Jinteng Han, Yu Wang, Yankun Chen, Nan Bak, Daniel W. Lai, Shuchang Xie, Xiao Weerapana, Eranthie Wang, Chu |
author_sort | Gao, Jinjun |
collection | PubMed |
description | [Image: see text] Selenium (Se), as an essential trace element, plays crucial roles in many organisms including humans. The biological functions of selenium are mainly mediated by selenoproteins, a unique class of selenium-containing proteins in which selenium is inserted in the form of selenocysteine. Due to their low abundance and uneven tissue distribution, detection of selenoproteins within proteomes is very challenging, and therefore functional studies of these proteins are limited. In this study, we developed a computational method, named as selenium-encoded isotopic signature targeted profiling (SESTAR), which utilizes the distinct natural isotopic distribution of selenium to assist detection of trace selenium-containing signals from shotgun-proteomic data. SESTAR can detect femtomole quantities of synthetic selenopeptides in a benchmark test and dramatically improved detection of native selenoproteins from tissue proteomes in a targeted profiling mode. By applying SESTAR to screen publicly available datasets from Human Proteome Map, we provide a comprehensive picture of selenoprotein distributions in human primary hematopoietic cells and tissues. We further demonstrated that SESTAR can aid chemical-proteomic strategies to identify additional selenoprotein targets of RSL3, a canonical inducer of cell ferroptosis. We believe SESTAR not only serves as a powerful tool for global profiling of native selenoproteomes, but can also work seamlessly with chemical-proteomic profiling strategies to enhance identification of target proteins, post-translational modifications, or protein–protein interactions. |
format | Online Article Text |
id | pubmed-6107865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-61078652018-08-29 Selenium-Encoded Isotopic Signature Targeted Profiling Gao, Jinjun Yang, Fan Che, Jinteng Han, Yu Wang, Yankun Chen, Nan Bak, Daniel W. Lai, Shuchang Xie, Xiao Weerapana, Eranthie Wang, Chu ACS Cent Sci [Image: see text] Selenium (Se), as an essential trace element, plays crucial roles in many organisms including humans. The biological functions of selenium are mainly mediated by selenoproteins, a unique class of selenium-containing proteins in which selenium is inserted in the form of selenocysteine. Due to their low abundance and uneven tissue distribution, detection of selenoproteins within proteomes is very challenging, and therefore functional studies of these proteins are limited. In this study, we developed a computational method, named as selenium-encoded isotopic signature targeted profiling (SESTAR), which utilizes the distinct natural isotopic distribution of selenium to assist detection of trace selenium-containing signals from shotgun-proteomic data. SESTAR can detect femtomole quantities of synthetic selenopeptides in a benchmark test and dramatically improved detection of native selenoproteins from tissue proteomes in a targeted profiling mode. By applying SESTAR to screen publicly available datasets from Human Proteome Map, we provide a comprehensive picture of selenoprotein distributions in human primary hematopoietic cells and tissues. We further demonstrated that SESTAR can aid chemical-proteomic strategies to identify additional selenoprotein targets of RSL3, a canonical inducer of cell ferroptosis. We believe SESTAR not only serves as a powerful tool for global profiling of native selenoproteomes, but can also work seamlessly with chemical-proteomic profiling strategies to enhance identification of target proteins, post-translational modifications, or protein–protein interactions. American Chemical Society 2018-07-16 2018-08-22 /pmc/articles/PMC6107865/ /pubmed/30159393 http://dx.doi.org/10.1021/acscentsci.8b00112 Text en Copyright © 2018 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Gao, Jinjun Yang, Fan Che, Jinteng Han, Yu Wang, Yankun Chen, Nan Bak, Daniel W. Lai, Shuchang Xie, Xiao Weerapana, Eranthie Wang, Chu Selenium-Encoded Isotopic Signature Targeted Profiling |
title | Selenium-Encoded Isotopic Signature Targeted Profiling |
title_full | Selenium-Encoded Isotopic Signature Targeted Profiling |
title_fullStr | Selenium-Encoded Isotopic Signature Targeted Profiling |
title_full_unstemmed | Selenium-Encoded Isotopic Signature Targeted Profiling |
title_short | Selenium-Encoded Isotopic Signature Targeted Profiling |
title_sort | selenium-encoded isotopic signature targeted profiling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107865/ https://www.ncbi.nlm.nih.gov/pubmed/30159393 http://dx.doi.org/10.1021/acscentsci.8b00112 |
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