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A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors
BACKGROUND: Nuclear receptors (NRs) can regulate gene expression; therefore, they are classified as transcription factors. Despite the extensive research carried out on NRs, still several issues including (1) the expression profile of NRs in human tissues, (2) how the NR expression is modulated duri...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655880/ https://www.ncbi.nlm.nih.gov/pubmed/29065888 http://dx.doi.org/10.1186/s13045-017-0526-8 |
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author | Wang, Luqiao Nanayakkara, Gayani Yang, Qian Tan, Hongmei Drummer, Charles Sun, Yu Shao, Ying Fu, Hangfei Cueto, Ramon Shan, Huimin Bottiglieri, Teodoro Li, Ya-feng Johnson, Candice Yang, William Y. Yang, Fan Xu, Yanjie Xi, Hang Liu, Weiqing Yu, Jun Choi, Eric T. Cheng, Xiaoshu Wang, Hong Yang, Xiaofeng |
author_facet | Wang, Luqiao Nanayakkara, Gayani Yang, Qian Tan, Hongmei Drummer, Charles Sun, Yu Shao, Ying Fu, Hangfei Cueto, Ramon Shan, Huimin Bottiglieri, Teodoro Li, Ya-feng Johnson, Candice Yang, William Y. Yang, Fan Xu, Yanjie Xi, Hang Liu, Weiqing Yu, Jun Choi, Eric T. Cheng, Xiaoshu Wang, Hong Yang, Xiaofeng |
author_sort | Wang, Luqiao |
collection | PubMed |
description | BACKGROUND: Nuclear receptors (NRs) can regulate gene expression; therefore, they are classified as transcription factors. Despite the extensive research carried out on NRs, still several issues including (1) the expression profile of NRs in human tissues, (2) how the NR expression is modulated during atherosclerosis and metabolic diseases, and (3) the overview of the role of NRs in inflammatory conditions are not fully understood. METHODS: To determine whether and how the expression of NRs are regulated in physiological/pathological conditions, we took an experimental database analysis to determine expression of all 48 known NRs in 21 human and 17 murine tissues as well as in pathological conditions. RESULTS: We made the following significant findings: (1) NRs are differentially expressed in tissues, which may be under regulation by oxygen sensors, angiogenesis pathway, stem cell master regulators, inflammasomes, and tissue hypo-/hypermethylation indexes; (2) NR sequence mutations are associated with increased risks for development of cancers and metabolic, cardiovascular, and autoimmune diseases; (3) NRs have less tendency to be upregulated than downregulated in cancers, and autoimmune and metabolic diseases, which may be regulated by inflammation pathways and mitochondrial energy enzymes; and (4) the innate immune sensor inflammasome/caspase-1 pathway regulates the expression of most NRs. CONCLUSIONS: Based on our findings, we propose a new paradigm that most nuclear receptors are anti-inflammatory homeostasis-associated molecular pattern receptors (HAMPRs). Our results have provided a novel insight on NRs as therapeutic targets in metabolic diseases, inflammations, and malignancies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-017-0526-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5655880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56558802017-10-31 A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors Wang, Luqiao Nanayakkara, Gayani Yang, Qian Tan, Hongmei Drummer, Charles Sun, Yu Shao, Ying Fu, Hangfei Cueto, Ramon Shan, Huimin Bottiglieri, Teodoro Li, Ya-feng Johnson, Candice Yang, William Y. Yang, Fan Xu, Yanjie Xi, Hang Liu, Weiqing Yu, Jun Choi, Eric T. Cheng, Xiaoshu Wang, Hong Yang, Xiaofeng J Hematol Oncol Research BACKGROUND: Nuclear receptors (NRs) can regulate gene expression; therefore, they are classified as transcription factors. Despite the extensive research carried out on NRs, still several issues including (1) the expression profile of NRs in human tissues, (2) how the NR expression is modulated during atherosclerosis and metabolic diseases, and (3) the overview of the role of NRs in inflammatory conditions are not fully understood. METHODS: To determine whether and how the expression of NRs are regulated in physiological/pathological conditions, we took an experimental database analysis to determine expression of all 48 known NRs in 21 human and 17 murine tissues as well as in pathological conditions. RESULTS: We made the following significant findings: (1) NRs are differentially expressed in tissues, which may be under regulation by oxygen sensors, angiogenesis pathway, stem cell master regulators, inflammasomes, and tissue hypo-/hypermethylation indexes; (2) NR sequence mutations are associated with increased risks for development of cancers and metabolic, cardiovascular, and autoimmune diseases; (3) NRs have less tendency to be upregulated than downregulated in cancers, and autoimmune and metabolic diseases, which may be regulated by inflammation pathways and mitochondrial energy enzymes; and (4) the innate immune sensor inflammasome/caspase-1 pathway regulates the expression of most NRs. CONCLUSIONS: Based on our findings, we propose a new paradigm that most nuclear receptors are anti-inflammatory homeostasis-associated molecular pattern receptors (HAMPRs). Our results have provided a novel insight on NRs as therapeutic targets in metabolic diseases, inflammations, and malignancies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-017-0526-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-24 /pmc/articles/PMC5655880/ /pubmed/29065888 http://dx.doi.org/10.1186/s13045-017-0526-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wang, Luqiao Nanayakkara, Gayani Yang, Qian Tan, Hongmei Drummer, Charles Sun, Yu Shao, Ying Fu, Hangfei Cueto, Ramon Shan, Huimin Bottiglieri, Teodoro Li, Ya-feng Johnson, Candice Yang, William Y. Yang, Fan Xu, Yanjie Xi, Hang Liu, Weiqing Yu, Jun Choi, Eric T. Cheng, Xiaoshu Wang, Hong Yang, Xiaofeng A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title | A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title_full | A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title_fullStr | A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title_full_unstemmed | A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title_short | A comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
title_sort | comprehensive data mining study shows that most nuclear receptors act as newly proposed homeostasis-associated molecular pattern receptors |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655880/ https://www.ncbi.nlm.nih.gov/pubmed/29065888 http://dx.doi.org/10.1186/s13045-017-0526-8 |
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