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Shao L, Yu H, Wang M, Chen L, Ji B, Wu T, Teng X, Su M, Han X, Shi W, Hu X, Wang Z, He H, Han G, Zhang Y, Wu Q. DKK1-SE recruits AP1 to activate the target gene DKK1 thereby promoting pancreatic cancer progression. Cell Death Dis 2024; 15:566. [PMID: 39107271 PMCID: PMC11303742 DOI: 10.1038/s41419-024-06915-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 08/09/2024]
Abstract
Super-enhancers are a class of DNA cis-regulatory elements that can regulate cell identity, cell fate, stem cell pluripotency, and even tumorigenesis. Increasing evidence shows that epigenetic modifications play an important role in the pathogenesis of various types of cancer. However, the current research is far from enough to reveal the complex mechanism behind it. This study found a super-enhancer enriched with abnormally active histone modifications in pancreatic ductal adenocarcinoma (PDAC), called DKK1-super-enhancer (DKK1-SE). The major active component of DKK1-SE is component enhancer e1. Mechanistically, AP1 induces chromatin remodeling in component enhancer e1 and activates the transcriptional activity of DKK1. Moreover, DKK1 was closely related to the malignant clinical features of PDAC. Deletion or knockdown of DKK1-SE significantly inhibited the proliferation, colony formation, motility, migration, and invasion of PDAC cells in vitro, and these phenomena were partly mitigated upon rescuing DKK1 expression. In vivo, DKK1-SE deficiency not only inhibited tumor proliferation but also reduced the complexity of the tumor microenvironment. This study identifies that DKK1-SE drives DKK1 expression by recruiting AP1 transcription factors, exerting oncogenic effects in PDAC, and enhancing the complexity of the tumor microenvironment.
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Affiliation(s)
- Lan Shao
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Haoran Yu
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Mengyun Wang
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Lu Chen
- Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Boshu Ji
- Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tong Wu
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Xiangqi Teng
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Mu Su
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Xiao Han
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Weikai Shi
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Xin Hu
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Ziwen Wang
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Hongjuan He
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Guiping Han
- Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yan Zhang
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China
| | - Qiong Wu
- School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
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2
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Chen S, Liu S, Shi S, Yin H, Tang Y, Zhang J, Li W, Liu G, Qu K, Ding X, Wang Y, Liu J, Zhang S, Fang L, Yu Y. Cross-Species Comparative DNA Methylation Reveals Novel Insights into Complex Trait Genetics among Cattle, Sheep, and Goats. Mol Biol Evol 2024; 41:msae003. [PMID: 38266195 PMCID: PMC10834038 DOI: 10.1093/molbev/msae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/28/2023] [Accepted: 01/04/2024] [Indexed: 01/26/2024] Open
Abstract
The cross-species characterization of evolutionary changes in the functional genome can facilitate the translation of genetic findings across species and the interpretation of the evolutionary basis underlying complex phenotypes. Yet, this has not been fully explored between cattle, sheep, goats, and other mammals. Here, we systematically characterized the evolutionary dynamics of DNA methylation and gene expression in 3 somatic tissues (i.e. brain, liver, and skeletal muscle) and sperm across 7 mammalian species, including 3 ruminant livestock species (cattle, sheep, and goats), humans, pigs, mice, and dogs, by generating and integrating 160 DNA methylation and transcriptomic data sets. We demonstrate dynamic changes of DNA hypomethylated regions and hypermethylated regions in tissue-type manner across cattle, sheep, and goats. Specifically, based on the phylo-epigenetic model of DNA methylome, we identified a total of 25,074 hypomethylated region extension events specific to cattle, which participated in rewiring tissue-specific regulatory network. Furthermore, by integrating genome-wide association studies of 50 cattle traits, we provided novel insights into the genetic and evolutionary basis of complex phenotypes in cattle. Overall, our study provides a valuable resource for exploring the evolutionary dynamics of the functional genome and highlights the importance of cross-species characterization of multiomics data sets for the evolutionary interpretation of complex phenotypes in cattle livestock.
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Affiliation(s)
- Siqian Chen
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shuli Liu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Shaolei Shi
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Hongwei Yin
- Agriculture Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yongjie Tang
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jinning Zhang
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Wenlong Li
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Gang Liu
- National Animal Husbandry Service, Beijing 100125, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong 675000, China
| | - Xiangdong Ding
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yachun Wang
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jianfeng Liu
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shengli Zhang
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lingzhao Fang
- Center for Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, Denmark
| | - Ying Yu
- National Engineering Laboratory for Animal Breeding, State Key Laboratory of Animal Biotech Breeding, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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3
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Yu Z, Zhang X, Zhao Q, Yan X, Wu C, Qing L, He Z, Chen Q, Huang M, Zhao J, Cao M. Urolithin B alleviates Helicobacter pylori-induced inflammation and oxidative stress in mice. Helicobacter 2023; 28:e13016. [PMID: 37623311 DOI: 10.1111/hel.13016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/08/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Helicobacter pylori is one of the most common chronic bacterial infections. Active eradication of H. pylori infection is rare due to the fact that most infected patients are asymptomatic and the use of large amounts of antibiotics in eradication therapy leads to severe side effects. Urolithin B (UB) is an additional major intestinal metabolite of ellagic acid (EA), which has been shown to possess anti-inflammatory, antioxidant, and antiapoptotic biological activities. Preventing the incidence of H. pylori-related gastric disease and reducing the damage to the host by H. pylori is a current approach to control H. pylori infection. In this study, we explored the effect of UB on H. pylori infection. MATERIALS AND METHODS The effects of UB on inflammation and oxidative stress induced by H. pylori in vivo and in vitro were investigated by qPCR, ELISA, HE staining, IHC staining, etc. RESULTS: UB reduced the adhesion and colonization of H. pylori and improved H. pylori-induced inflammation and oxidative stress in vivo and in vitro. Moreover, UB had better anti-inflammatory and antioxidant effects than clarithromycin (CLR) and metronidazole (MET). In addition to inhibiting the secretion of CagA, UB reduced tissue damage by H. pylori infection. CONCLUSIONS UB was effective in improving damage caused by H. pylori.
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Affiliation(s)
- Zhihao Yu
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
- Department of Microbiology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China
| | - Xiangyue Zhang
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Qiao Zhao
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xin Yan
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Chengmeng Wu
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Liting Qing
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Zongyu He
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Qian Chen
- Irradiation Preservation Technology Key Laboratory of Sichuan Province, Sichuan Institute of Atomic Energy, Chengdu, China
| | - Min Huang
- Irradiation Preservation Technology Key Laboratory of Sichuan Province, Sichuan Institute of Atomic Energy, Chengdu, China
| | - Jian Zhao
- Key Laboratory of Biological Resource and Ecological Environment of Chinese Education Ministry, College of Life Sciences, Sichuan University, Chengdu, China
| | - Mei Cao
- Core Laboratory, School of Medicine, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, China
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4
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Sokolowski DJ, Ahn J, Erdman L, Hou H, Ellis K, Wang L, Goldenberg A, Wilson M. Differential Expression Enrichment Tool (DEET): an interactive atlas of human differential gene expression. NAR Genom Bioinform 2023; 5:lqad003. [PMID: 36694664 PMCID: PMC9869326 DOI: 10.1093/nargab/lqad003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/14/2022] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
Differential gene expression analysis using RNA sequencing (RNA-seq) data is a standard approach for making biological discoveries. Ongoing large-scale efforts to process and normalize publicly available gene expression data enable rapid and systematic reanalysis. While several powerful tools systematically process RNA-seq data, enabling their reanalysis, few resources systematically recompute differentially expressed genes (DEGs) generated from individual studies. We developed a robust differential expression analysis pipeline to recompute 3162 human DEG lists from The Cancer Genome Atlas, Genotype-Tissue Expression Consortium, and 142 studies within the Sequence Read Archive. After measuring the accuracy of the recomputed DEG lists, we built the Differential Expression Enrichment Tool (DEET), which enables users to interact with the recomputed DEG lists. DEET, available through CRAN and RShiny, systematically queries which of the recomputed DEG lists share similar genes, pathways, and TF targets to their own gene lists. DEET identifies relevant studies based on shared results with the user's gene lists, aiding in hypothesis generation and data-driven literature review.
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Affiliation(s)
| | - Jedid Ahn
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada,Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Lauren Erdman
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada,Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Huayun Hou
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - Kai Ellis
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Liangxi Wang
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Anna Goldenberg
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada,Department of Computer Science, University of Toronto, Toronto, ON, Canada,Vector Institute, Toronto, ON, Canada,CIFAR, Toronto, ON, Canada
| | - Michael D Wilson
- To whom correspondence should be addressed. Tel: +1 416 813 7654 (Ext 328699); Fax: +1 416 813 4931;
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5
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Chen S, Liu S, Shi S, Jiang Y, Cao M, Tang Y, Li W, Liu J, Fang L, Yu Y, Zhang S. Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits. BMC Biol 2022; 20:273. [PMID: 36482458 PMCID: PMC9730597 DOI: 10.1186/s12915-022-01459-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Insights into the genetic basis of complex traits and disease in both human and livestock species have been achieved over the past decade through detection of genetic variants in genome-wide association studies (GWAS). A majority of such variants were found located in noncoding genomic regions, and though the involvement of numerous regulatory elements (REs) has been predicted across multiple tissues in domesticated animals, their evolutionary conservation and effects on complex traits have not been fully elucidated, particularly in ruminants. Here, we systematically analyzed 137 epigenomic and transcriptomic datasets of six mammals, including cattle, sheep, goats, pigs, mice, and humans, and then integrated them with large-scale GWAS of complex traits. RESULTS Using 40 ChIP-seq datasets of H3K4me3 and H3K27ac, we detected 68,479, 58,562, 63,273, 97,244, 111,881, and 87,049 REs in the liver of cattle, sheep, goats, pigs, humans and mice, respectively. We then systematically characterized the dynamic functional landscapes of these REs by integrating multi-omics datasets, including gene expression, chromatin accessibility, and DNA methylation. We identified a core set (n = 6359) of ruminant-specific REs that are involved in liver development, metabolism, and immune processes. Genes with more complex cis-REs exhibited higher gene expression levels and stronger conservation across species. Furthermore, we integrated expression quantitative trait loci (eQTLs) and GWAS from 44 and 52 complex traits/diseases in cattle and humans, respectively. These results demonstrated that REs with different degrees of evolutionary conservation across species exhibited distinct enrichments for GWAS signals of complex traits. CONCLUSIONS We systematically annotated genome-wide functional REs in liver across six mammals and demonstrated the evolution of REs and their associations with transcriptional output and conservation. Detecting lineage-specific REs allows us to decipher the evolutionary and genetic basis of complex phenotypes in livestock and humans, which may benefit the discovery of potential biomedical models for functional variants and genes of specific human diseases.
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Affiliation(s)
- Siqian Chen
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shuli Liu
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China ,grid.494629.40000 0004 8008 9315 School of Life Sciences, Westlake University, Hangzhou, China
| | - Shaolei Shi
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yifan Jiang
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Mingyue Cao
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yongjie Tang
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Wenlong Li
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jianfeng Liu
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lingzhao Fang
- grid.4305.20000 0004 1936 7988MRC Human Genetics Unit at the Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK ,grid.7048.b0000 0001 1956 2722Center for Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, Denmark
| | - Ying Yu
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shengli Zhang
- grid.22935.3f0000 0004 0530 8290Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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Ohmori S, Takai J, Uemura S, Otsuki A, Mori T, Ohneda K, Moriguchi T. The Il6 -39 kb enhancer containing clustered GATA2- and PU.1-binding sites is essential for Il6 expression in murine mast cells. iScience 2022; 25:104942. [PMID: 36072552 PMCID: PMC9442365 DOI: 10.1016/j.isci.2022.104942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/17/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Mast cells serve as a first-line defense of innate immunity. Interleukin-6 (IL-6) induced by bacterial lipopolysaccharide (LPS) in mast cells plays a crucial role in antibacterial protection. The zinc finger transcription factor GATA2 cooperatively functions with the ETS family transcription factor PU.1 in multiple mast cell activities. However, the regulatory landscape directed by GATA2 and PU.1 under inflammation remains elusive. We herein showed that a large proportion of GATA2-binding peaks were closely located with PU.1-binding peaks in distal cis-regulatory regions of inflammatory cytokine genes in mast cells. Notably, GATA2 and PU.1 played crucial roles in promoting LPS-mediated inflammatory cytokine production. Genetic ablation of GATA2-PU.1-clustered binding sites at the Il6 -39 kb region revealed its central role in LPS-induced Il6 expression in mast cells. We demonstrate a novel collaborative activity of GATA2 and PU.1 in cytokine induction upon inflammatory stimuli via the GATA2-PU.1 overlapping sites in the distal cis-regulatory regions. GATA2- and PU.1-binding peaks are closely located in distal enhancers of cytokine genes GATA2 and PU.1 play crucial roles in promoting LPS-mediated cytokine induction The Il6 -39 kb enhancer containing GATA2 and PU.1 motifs are crucial for Il6 induction GATA2 inhibitor exerts anti-inflammatory effects via reducing cytokine induction
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7
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Encoding and decoding NF-κB nuclear dynamics. Curr Opin Cell Biol 2022; 77:102103. [DOI: 10.1016/j.ceb.2022.102103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 03/16/2022] [Accepted: 04/24/2022] [Indexed: 11/22/2022]
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8
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Tan SYX, Zhang J, Tee WW. Epigenetic Regulation of Inflammatory Signaling and Inflammation-Induced Cancer. Front Cell Dev Biol 2022; 10:931493. [PMID: 35757000 PMCID: PMC9213816 DOI: 10.3389/fcell.2022.931493] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/23/2022] [Indexed: 01/10/2023] Open
Abstract
Epigenetics comprise a diverse array of reversible and dynamic modifications to the cell’s genome without implicating any DNA sequence alterations. Both the external environment surrounding the organism, as well as the internal microenvironment of cells and tissues, contribute to these epigenetic processes that play critical roles in cell fate specification and organismal development. On the other hand, dysregulation of epigenetic activities can initiate and sustain carcinogenesis, which is often augmented by inflammation. Chronic inflammation, one of the major hallmarks of cancer, stems from proinflammatory cytokines that are secreted by tumor and tumor-associated cells in the tumor microenvironment. At the same time, inflammatory signaling can establish positive and negative feedback circuits with chromatin to modulate changes in the global epigenetic landscape. In this review, we provide an in-depth discussion of the interconnected crosstalk between epigenetics and inflammation, specifically how epigenetic mechanisms at different hierarchical levels of the genome control inflammatory gene transcription, which in turn enact changes within the cell’s epigenomic profile, especially in the context of inflammation-induced cancer.
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Affiliation(s)
- Shawn Ying Xuan Tan
- Chromatin Dynamics and Disease Epigenetics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Jieqiong Zhang
- Chromatin Dynamics and Disease Epigenetics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wee-Wei Tee
- Chromatin Dynamics and Disease Epigenetics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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9
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Lu F, Wu X, Hu H, Zhang J, Song X, Jin X, Chen L, Sun J, Chen H. Yangonin treats inflammatory osteoporosis by inhibiting the secretion of inflammatory factors and RANKL expression. Inflammopharmacology 2022; 30:1445-1458. [PMID: 35451724 DOI: 10.1007/s10787-022-00985-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/29/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES As the main cause of osteoporosis, abnormal activity of osteoclasts could disrupt the balance between bone resorption and formation. Moreover, up-regulation of nuclear factor-kappa ligand (RANKL) expression by chronic inflammation-mediated inflammatory factors might contribute to the differentiation of osteoclast precursor cells. Therefore, an anti-inflammatory agent named yangonin was presented for inhibiting osteoclast and relieving inflammatory osteoporosis through down-regulating inflammatory factors. METHODS We established a model of macrophage inflammation and then verified the anti-inflammatory effect of yangonin. The inhibitory effect of yangonin on osteoclasts was detected by tartrate-resistant acid phosphatase (TRAP) staining, Western blotting and quantitative real-time PCR (qRT-PCR). Finally, micro-CT, TRAP and hematoxylin-eosin (HE) staining were used to show the effect of yangonin on inflammatory osteoporosis in vivo. RESULTS Our results suggested that yangonin was able to reduce the secretion of inflammatory factors, down-regulate osteoclast-related genes such as TRAP, RANKL, cathepsin K (CTSK) and nuclear factor-activated T-cell 1 (NFATc1). Furthermore, it was demonstrated that yangonin could suppress the function of inflammatory cytokines in osteoclast differentiation and reporting, wherein NF-κB, AKT and downstream c-Fos/NFATc1 signaling pathways were involved. In an in vivo study, we implied that yangonin has a relieving effect on inflammatory osteoporosis. CONCLUSION Our research shows that yangonin down-regulates inflammatory factors and inhibits the bone-breaking effect of inflammation through NF-κB, AKT and downstream c-Fos/NFATc1 signaling pathways to achieve the purpose of treating inflammatory osteoporosis.
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Affiliation(s)
- Feng Lu
- Zhejiang University School of Medicine, Hangzhou, 310009, China.,Department of Orthopedic, Taizhou Hospital of Zhejiang Province, Zhejiang University, No. 150 Ximen Street, Gucheng Street, Linhai City, Taizhou City, 317000, Zhejiang Province, China
| | - Xinhui Wu
- Wenzhou Medical University, Wenzhou, 325035, China.,Department of Orthopedic, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - Huiqun Hu
- Zhejiang University School of Medicine, Hangzhou, 310009, China.,Department of Infectious Diseases, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Jiapeng Zhang
- Wenzhou Medical University, Wenzhou, 325035, China.,Department of Orthopedic, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - Xiaoting Song
- Wenzhou Medical University, Wenzhou, 325035, China.,Department of Orthopedic, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - Xiangang Jin
- Zhejiang University School of Medicine, Hangzhou, 310009, China.,Department of Orthopedic, Taizhou Hospital of Zhejiang Province, Zhejiang University, No. 150 Ximen Street, Gucheng Street, Linhai City, Taizhou City, 317000, Zhejiang Province, China
| | - Lihua Chen
- Enze Medical Research Center, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - Jiacheng Sun
- Wenzhou Medical University, Wenzhou, 325035, China.,Department of Orthopedic, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - Haixiao Chen
- Zhejiang University School of Medicine, Hangzhou, 310009, China. .,Department of Orthopedic, Taizhou Hospital of Zhejiang Province, Zhejiang University, No. 150 Ximen Street, Gucheng Street, Linhai City, Taizhou City, 317000, Zhejiang Province, China. .,Enze Medical Research Center, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, 317000, China.
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10
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Cao H, Zhou Q, Liu C, Zhang Y, Xie M, Qiao W, Dong N. Substrate stiffness regulates differentiation of induced pluripotent stem cells into heart valve endothelial cells. Acta Biomater 2022; 143:115-126. [PMID: 35235867 DOI: 10.1016/j.actbio.2022.02.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/08/2022] [Accepted: 02/21/2022] [Indexed: 12/15/2022]
Abstract
Substrate stiffness has been indicated as a primary determinant for stem cell fate, being capable of influencing motility, proliferation, and differentiation. Although the effects of stiffness on cardiac differentiation of human-induced pluripotent stem cells (h-iPSCs) have been reported, whether stiffness of polydimethylsiloxane-based substrates could enhance differentiation of h-iPSCs toward heart valve endothelial cells lineage (VECs) or not remains unknown. Herein, we modulated the substrate stiffness to evaluate its effect on the differentiation of h-iPSCs into valve endothelial-like cells (h-iVECs) in vitro and determine the suitable stiffness. The results revealed that VECs-related genes (PECAM1, CDH5, NFATC1, etc.) were significantly increased in h-iVECs obtained from the three substrates compared with h-iPSCs. Gene expression levels and differentiation efficiency were higher in the medium group than in the stiff and soft groups. An increase in substrate stiffness to 2.8 GPa decreased the efficiency of h-iPSCs differentiation into h-iVECs and downregulated VECs specific genes. Through mRNA sequencing, we determined the key genetic markers involved in stiffness guiding the differentiation of cardiac progenitor cells into h-iVECs. Unsupervised hierarchical clustering showed that medium stiffness were more suitable for the differentiation of h-iPSCs into h-iVECs in vitro. Moreover, this process is regulated by the WNT/Calcineurin signaling pathway. Overall, this study demonstrates how stiffness can be used to enhance the h-iVECs differentiation of iPSCs and emphasizes the importance of using substrate stiffness to accomplish a more specific and mature differentiation of h-iVECs for future therapeutic and tissue engineering valve applications. STATEMENT OF SIGNIFICANCE: Several studies have examined the stiffness-induced cell fate from pluripotent stem cells during the stage of mesoderm cell differentiation. This is the first research that rigorously examines the effect of substrate stiffness on human valve endothelial-like cells differentiation from cardiac progenitor cells. We found that the medium stiffness can increase the differentiation efficiency of h-iVECs from 40% to about 60%, and this process was regulated by the WNT/CaN signaling pathway through the activation of WNT5a. Substrate stiffness not only increases the differentiation efficiency of h-iVECs, but also improves its cellular functions such as low-density lipoprotein uptake and NO release. This study emphasizes the importance of using substrate stiffness to accomplish a more specific and mature differentiation of h-iVECs.
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Botts SR, Fish JE, Howe KL. Dysfunctional Vascular Endothelium as a Driver of Atherosclerosis: Emerging Insights Into Pathogenesis and Treatment. Front Pharmacol 2021; 12:787541. [PMID: 35002720 PMCID: PMC8727904 DOI: 10.3389/fphar.2021.787541] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/06/2021] [Indexed: 12/28/2022] Open
Abstract
Atherosclerosis, the chronic accumulation of cholesterol-rich plaque within arteries, is associated with a broad spectrum of cardiovascular diseases including myocardial infarction, aortic aneurysm, peripheral vascular disease, and stroke. Atherosclerotic cardiovascular disease remains a leading cause of mortality in high-income countries and recent years have witnessed a notable increase in prevalence within low- and middle-income regions of the world. Considering this prominent and evolving global burden, there is a need to identify the cellular mechanisms that underlie the pathogenesis of atherosclerosis to discover novel therapeutic targets for preventing or mitigating its clinical sequelae. Despite decades of research, we still do not fully understand the complex cell-cell interactions that drive atherosclerosis, but new investigative approaches are rapidly shedding light on these essential mechanisms. The vascular endothelium resides at the interface of systemic circulation and the underlying vessel wall and plays an essential role in governing pathophysiological processes during atherogenesis. In this review, we present emerging evidence that implicates the activated endothelium as a driver of atherosclerosis by directing site-specificity of plaque formation and by promoting plaque development through intracellular processes, which regulate endothelial cell proliferation and turnover, metabolism, permeability, and plasticity. Moreover, we highlight novel mechanisms of intercellular communication by which endothelial cells modulate the activity of key vascular cell populations involved in atherogenesis, and discuss how endothelial cells contribute to resolution biology - a process that is dysregulated in advanced plaques. Finally, we describe important future directions for preclinical atherosclerosis research, including epigenetic and targeted therapies, to limit the progression of atherosclerosis in at-risk or affected patients.
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Affiliation(s)
- Steven R. Botts
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jason E. Fish
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
| | - Kathryn L. Howe
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Division of Vascular Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
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Regulation of Transcription Factor NF-κB in Its Natural Habitat: The Nucleus. Cells 2021; 10:cells10040753. [PMID: 33805563 PMCID: PMC8066257 DOI: 10.3390/cells10040753] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 01/11/2023] Open
Abstract
Activation of the transcription factor NF-κB elicits an individually tailored transcriptional response in order to meet the particular requirements of specific cell types, tissues, or organs. Control of the induction kinetics, amplitude, and termination of gene expression involves multiple layers of NF-κB regulation in the nucleus. Here we discuss some recent advances in our understanding of the mutual relations between NF-κB and chromatin regulators also in the context of different levels of genome organization. Changes in the 3D folding of the genome, as they occur during senescence or in cancer cells, can causally contribute to sustained increases in NF-κB activity. We also highlight the participation of NF-κB in the formation of hierarchically organized super enhancers, which enable the coordinated expression of co-regulated sets of NF-κB target genes. The identification of mechanisms allowing the specific regulation of NF-κB target gene clusters could potentially enable targeted therapeutic interventions, allowing selective interference with subsets of the NF-κB response without a complete inactivation of this key signaling system.
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