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Uguen M, Liu T, James LI, Frye SV. Tudor-Containing Methyl-Lysine and Methyl-Arginine Reader Proteins: Disease Implications and Chemical Tool Development. ACS Chem Biol 2024. [PMID: 39718819 DOI: 10.1021/acschembio.4c00661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2024]
Abstract
Tudor domains are histone readers that can recognize various methylation marks on lysine and arginine. This recognition event plays a key role in the recruitment of other epigenetic effectors and the control of gene accessibility. The Tudor-containing protein family contains 42 members, many of which are involved in the development and progression of various diseases, especially cancer. The development of chemical tools for this family will not only lead to a deeper understanding of the biological functions of Tudor domains but also lay the foundation for therapeutic discoveries. In this review, we discuss the role of several Tudor domain-containing proteins in a range of relevant diseases and progress toward the development of chemical tools such as peptides, peptidomimetics, or small-molecules that bind Tudor domains. Overall, we highlight how Tudor domains are promising targets for therapeutic development and would benefit from the development of novel chemical tools.
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Affiliation(s)
- Mélanie Uguen
- UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Tongkun Liu
- UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Lindsey I James
- UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina 27599, United States
| | - Stephen V Frye
- UNC Eshelman School of Pharmacy, Center for Integrative Chemical Biology and Drug Discovery, Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina 27599, United States
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Deater M, Lloyd RE. TDRD3 functions as a selective autophagy receptor with dual roles in autophagy and modulation of stress granule stability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.22.614367. [PMID: 39345463 PMCID: PMC11430058 DOI: 10.1101/2024.09.22.614367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
Tudor Domain Containing 3 (TDRD3) is a methylarginine-reader protein that functions as a scaffold in the nucleus facilitating transcription, however TDRD3 is also recruited to stress granules (SGs) during the Integrated Stress Response (ISR) although its function therein remains largely unknown. We previously showed that TDRD3 is a novel antiviral restriction factor that is cleaved by virus 2A protease, and plays complex modulatory roles in both interferon and inflammatory signaling during stress and enterovirus infections. Here we have found that TDRD3 contains structural motifs similar to known selective autophagy receptors such as p62/SQSTM1, sharing ubiquitin associated domains (UBA) and LC3 interacting regions (LIR) that anchor cargo destined for autophagosomes to activated LC3 protein coating autophagosome membranes. This is of interest since enteroviruses hijack autophagy machinery to facilitate formation of viral replication factories, virus assembly and egress from the infected cell. Here we explored possible roles of TDRD3 in autophagy, hypothesizing that TDRD3 may function as a specialized selective autophagy receptor. We found that KO of TDRD3 in HeLa cells significantly reduces starvation induced autophagy, while its reintroduction restores it in a dose-dependent manner. Autophagy receptors are degraded during autophagy and expression levels decrease during this time. We found that TDRD3 levels decrease to the same extent as the autophagy receptor p62/SQSTM1 during autophagy, indicating autophagy-targeted turnover in that role. Knockout of TDRD3 or G3BP1 did not make significant changes in overall cell localization of LC3B or p62/SQSTM1, but did result in greater concentration of Lamp2 phagosome marker for phagosomes and phagolysosomes. To test the potential roles of TDRD3 in autophagic processes, we created a series of deletion mutants of TDRD3 lacking either UBA domain or the various LIR motifs that are predicted to interact with LC3B. Microscopic examination of starved cells expressing these variants of TDRD3 showed ΔLIR-TDRD3 had defects in colocalization with LC3B or Lamp2. Further, super resolution microscopy revealed ring structures with TDRD3 interfacing with p62/SQSTM1. In examination of arsenite induced stress granules we found recruitment of TDRD3 variants disrupted normally tight SG condensation, altered the decay rate of SGs upon release from stress and the kinetics of SG formation. We found evidence that the LIR3 motif on TDRD3 is involved in TDRD3 interaction with LC3B in coIP experiments, colocalization studies, and that this motif plays a key role in TDRD3 recruitment to SGs and SG resolution. Overall, these data support a functional role of TDRD3 in selective autophagy in a mode similar to p62/SQSTM1, with specific roles in SG stability and turnover. Enterovirus cleavage of TDRD3 likely affects both antiviral and autophagic responses that the virus controls for replication.
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Affiliation(s)
- Matthew Deater
- Department of Molecular Virology and Immunology, Baylor College of Medicine, Houston, TX 77030
| | - Richard E Lloyd
- Department of Molecular Virology and Immunology, Baylor College of Medicine, Houston, TX 77030
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Chen M, Wang Z, Li W, Chen Y, Xiao Q, Shang X, Huang X, Wei Z, Ji X, Liu Y. Crystal structure of Tudor domain of TDRD3 in complex with a small molecule antagonist. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2023; 1866:194962. [PMID: 37499935 DOI: 10.1016/j.bbagrm.2023.194962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
Tudor domain-containing protein 3 (TDRD3) is involved in regulating transcription and translation, promoting breast cancer progression, and modulating neurodevelopment and mental health, making it a promising therapeutic target for associated diseases. The Tudor domain of TDRD3 is essential for its biological functions, and targeting this domain with potent and selective chemical probes may modulate its engagement with chromatin and related functions. Here we reported a study of TDRD3 antagonist following on our earlier work on the development of the SMN antagonist, Compound 1, and demonstrated that TDRD3 can bind effectively to Compound 2, a triple-ring analog of Compound 1. Our structural analysis suggested that the triple-ring compound bound better to TDRD3 due to its smaller side chain at Y566 compared to W102 in SMN. We also revealed that adding a small hydrophobic group to the N-methyl site of Compound 1 can improve binding. These findings provide a path for identifying antagonists for single canonical Tudor domain-containing proteins such as TDRD3 and SMN.
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Affiliation(s)
- Meixia Chen
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Zhuowen Wang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Weiguo Li
- Key Laboratory of Pesticides & Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, Hubei 430079, PR China
| | - Yichang Chen
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Qin Xiao
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Xinci Shang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Xiaolei Huang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China
| | - Zhengguo Wei
- School of Biology and Basic Medical Science, Soochow University, Suzhou, Jiangsu 215021, PR China
| | - Xinyue Ji
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China.
| | - Yanli Liu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou, Jiangsu 215123, PR China.
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Chen Y, Liu Y, Chu M. miRNA-mRNA analysis of sheep adrenal glands reveals the network regulating reproduction. BMC Genom Data 2022; 23:44. [PMID: 35710353 PMCID: PMC9205095 DOI: 10.1186/s12863-022-01060-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 05/16/2022] [Indexed: 11/29/2022] Open
Abstract
Background The adrenal gland participates in the process of sheep reproduction. MicroRNAs (miRNAs), endogenous small noncoding RNAs, regulate gene expression at the posttranscriptional level. However, the miRNA-mRNA network profile of adrenal glands relating to reproduction in sheep is still not well-studied. As sheep with FecBBB genotype show higher lambing number compare with the sheep with FecB++ genotype. This research aims to compare gene expression by small RNA-seq in adrenal tissues at follicular (F) and luteal (L) phases in FecBBB (MM) and FecB++ (ww) sheep. After analysis of gene expression, significant differentially expressed microRNAs (DEMs) and corresponding target genes were identified. Results A total of 180 miRNAs were found in this study, of which 19 DEMs were expressed in the four comparison groups (MM_F_A vs. MM_L_A, MM_F_A vs. ww_F_A, MM_L_A vs. ww_L_A, ww_F_A vs. ww_L_A). Subsequently, 354 target genes of 19 DEMs were predicted by integrated analysis. Cluster analysis was performed by K_means_cluster, and the expression patterns of these DEMs were separated into four subclusters. Functional analysis of target genes was performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The results indicated that the target genes were involved mainly in the Notch signaling pathway, signal transduction, cell communication, innate immune response and amino acid metabolism. Specifically, the Notch signaling pathway, biosynthetic process and metabolic process of pyrimidine nucleotide and amino acid metabolism appear to play key regulatory roles in the sheep fertility trait. Furthermore, miRNA-mRNA interaction networks were constructed by differentially expressed genes combined with our previous study of transcriptome data. The results showed that several key genes, including TDRD3, ANAPC7, CCNL2, BRD2 and MUT, were related to the transformation from the follicular phase to the luteal phase. PLAC8L1, NFAT5, DDX24 and MBD1 were related to the high fecundity of small tail Han sheep. Conclusions In this study, the miRNA transcriptome profile was identified, and miRNA-mRNA interaction networks were constructed in adrenal gland tissue of small tail Han sheep, the interaction between miR-370-3p and its targets were considered to play a major role in the reproduction regulation process. The results enriched the number of known miRNAs in adrenal glands and provided novel ideas and further information to demonstrate posttranscriptional regulation mechanisms at follicular and luteal phases in different genotypes of small tail Han sheep. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01060-y.
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Elghzaly AA, Sun C, Looger LL, Hirose M, Salama M, Khalil NM, Behiry ME, Hegazy MT, Hussein MA, Salem MN, Eltoraby E, Tawhid Z, Alwasefy M, Allam W, El-Shiekh I, Elserafy M, Abdelnaser A, Hashish S, Shebl N, Shahba AA, Elgirby A, Hassab A, Refay K, El-Touchy HM, Youssef A, Shabacy F, Hashim AA, Abdelzaher A, Alshebini E, Fayez D, El-Bakry SA, Elzohri MH, Abdelsalam EN, El-Khamisy SF, Ibrahim S, Ragab G, Nath SK. Genome-wide association study for systemic lupus erythematosus in an egyptian population. Front Genet 2022; 13:948505. [PMID: 36324510 PMCID: PMC9619055 DOI: 10.3389/fgene.2022.948505] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/30/2022] [Indexed: 04/11/2024] Open
Abstract
Systemic lupus erythematosus (SLE) susceptibility has a strong genetic component. Genome-wide association studies (GWAS) across trans-ancestral populations show both common and distinct genetic variants of susceptibility across European and Asian ancestries, while many other ethnic populations remain underexplored. We conducted the first SLE GWAS on Egyptians-an admixed North African/Middle Eastern population-using 537 patients and 883 controls. To identify novel susceptibility loci and replicate previously known loci, we performed imputation-based association analysis with 6,382,276 SNPs while accounting for individual admixture. We validated the association analysis using adaptive permutation tests (n = 109). We identified a novel genome-wide significant locus near IRS1/miR-5702 (Pcorrected = 1.98 × 10-8) and eight novel suggestive loci (Pcorrected < 1.0 × 10-5). We also replicated (Pperm < 0.01) 97 previously known loci with at least one associated nearby SNP, with ITGAM, DEF6-PPARD and IRF5 the top three replicated loci. SNPs correlated (r 2 > 0.8) with lead SNPs from four suggestive loci (ARMC9, DIAPH3, IFLDT1, and ENTPD3) were associated with differential gene expression (3.5 × 10-95 < p < 1.0 × 10-2) across diverse tissues. These loci are involved in cellular proliferation and invasion-pathways prominent in lupus and nephritis. Our study highlights the utility of GWAS in an admixed Egyptian population for delineating new genetic associations and for understanding SLE pathogenesis.
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Affiliation(s)
- Ashraf A. Elghzaly
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, El-Mansoura, Egypt
| | - Celi Sun
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Loren L. Looger
- Department of Neurosciences, Howard Hughes Medical Institute, University of California, San Diego, San Diego, CA, United States
| | - Misa Hirose
- Division of Genetics, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Mohamed Salama
- Institute of Global Health and Human Ecology, The American University in Cairo, New Cairo, Egypt
| | - Noha M. Khalil
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mervat Essam Behiry
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed Tharwat Hegazy
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed Ahmed Hussein
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamad Nabil Salem
- Department of Internal Medicine, Faculty of Medicine, Beni-Suef University, Beni Suef, Egypt
| | - Ehab Eltoraby
- Department of Internal Medicine, Faculty of Medicine, Mansoura University, El-Mansoura, Egypt
| | - Ziyad Tawhid
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, El-Mansoura, Egypt
| | - Mona Alwasefy
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, El-Mansoura, Egypt
| | - Walaa Allam
- Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
| | - Iman El-Shiekh
- Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
| | - Menattallah Elserafy
- Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
| | - Anwar Abdelnaser
- Institute of Global Health and Human Ecology, The American University in Cairo, New Cairo, Egypt
| | - Sara Hashish
- Institute of Global Health and Human Ecology, The American University in Cairo, New Cairo, Egypt
| | - Nourhan Shebl
- Institute of Global Health and Human Ecology, The American University in Cairo, New Cairo, Egypt
| | | | - Amira Elgirby
- Department of Internal Medicine, Faculty of Medicine, Alexandria University, Bab Sharqi, Egypt
| | - Amina Hassab
- Department of Clinical Pathology, Faculty of Medicine, Alexandria University, Bab Sharqi, Egypt
| | - Khalida Refay
- Department of Internal Medicine, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | | | - Ali Youssef
- Department of Rheumatology and Immunology, Faculty of Medicine, Benha University Hospital, Benha, Egypt
| | - Fatma Shabacy
- Department of Rheumatology and Immunology, Faculty of Medicine, Benha University Hospital, Benha, Egypt
| | | | - Asmaa Abdelzaher
- Department of Clinical Pathology, Faculty of Medicine, South Valley University, Qena, Egypt
| | - Emad Alshebini
- Department of Internal Medicine, Faculty of Medicine, Menoufia University, Al Minufiyah, Egypt
| | - Dalia Fayez
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Samah A. El-Bakry
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mona H. Elzohri
- Department of Internal Medicine, Faculty of Medicine, Assiut University, Asyut, Egypt
| | | | - Sherif F. El-Khamisy
- Center for Genomics, Helmy Institute for Medical Sciences, Zewail City of Science and Technology, Giza, Egypt
- The Healthy Lifespan Institute, University of Sheffield, Sheffield, United Kingdom
- The Institute of Cancer Therapeutics, University of Bradford, Bradford, United Kingdom
| | - Saleh Ibrahim
- Division of Genetics, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Gaafar Ragab
- Rheumatology and Clinical Immunology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Swapan K. Nath
- Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
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Su S, Xue Y, Sharov A, Zhang Y, Lee SK, Martindale J, Li W, Ku WL, Zhao K, De S, Shen W, Sen P, Gorospe M, Xu D, Wang W. A dual-activity topoisomerase complex regulates mRNA translation and turnover. Nucleic Acids Res 2022; 50:7013-7033. [PMID: 35748872 PMCID: PMC9262614 DOI: 10.1093/nar/gkac538] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/06/2022] [Accepted: 06/14/2022] [Indexed: 12/24/2022] Open
Abstract
Topoisomerase 3β (TOP3B) and TDRD3 form a dual-activity topoisomerase complex that interacts with FMRP and can change the topology of both DNA and RNA. Here, we investigated the post-transcriptional influence of TOP3B and associated proteins on mRNA translation and turnover. First, we discovered that in human HCT116 colon cancer cells, knock-out (KO) of TOP3B had similar effects on mRNA turnover and translation as did TDRD3-KO, while FMRP-KO resulted in rather distinct effects, indicating that TOP3B had stronger coordination with TDRD3 than FMRP in mRNA regulation. Second, we identified TOP3B-bound mRNAs in HCT116 cells; we found that while TOP3B did not directly influence the stability or translation of most TOP3B target mRNAs, it stabilized a subset of target mRNAs but had a more complex effect on translation-enhancing for some mRNAs whereas reducing for others. Interestingly, a point mutation that specifically disrupted TOP3B catalytic activity only partially recapitulated the effects of TOP3B-KO on mRNA stability and translation, suggesting that the impact of TOP3B on target mRNAs is partly linked to its ability to change topology of mRNAs. Collectively, our data suggest that TOP3B-TDRD3 can regulate mRNA translation and turnover by mechanisms that are dependent and independent of topoisomerase activity.
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Affiliation(s)
- Shuaikun Su
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Yutong Xue
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Alexei Sharov
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Yongqing Zhang
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Seung Kyu Lee
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Jennifer L Martindale
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Wen Li
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 1000871, China
| | - Wai Lim Ku
- System Biology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Keji Zhao
- System Biology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Supriyo De
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Weiping Shen
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Payel Sen
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Dongyi Xu
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 1000871, China
| | - Weidong Wang
- To whom correspondence should be addressed. Tel: +1 410 454 8418; Fax: +1 410 558 8331.
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7
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Asadi MR, Rahmanpour D, Moslehian MS, Sabaie H, Hassani M, Ghafouri-Fard S, Taheri M, Rezazadeh M. Stress Granules Involved in Formation, Progression and Metastasis of Cancer: A Scoping Review. Front Cell Dev Biol 2021; 9:745394. [PMID: 34604242 PMCID: PMC8485071 DOI: 10.3389/fcell.2021.745394] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/25/2021] [Indexed: 12/15/2022] Open
Abstract
The assembly of stress granules (SGs) is a well-known cellular strategy for reducing stress-related damage and promoting cell survival. SGs have become important players in human health, in addition to their fundamental role in the stress response. The critical role of SGs in cancer cells in formation, progression, and metastasis makes sense. Recent researchers have found that several SG components play a role in tumorigenesis and cancer metastasis via tumor-associated signaling pathways and other mechanisms. Gene-ontology analysis revealed the role of these protein components in the structure of SGs. Involvement in the translation process, regulation of mRNA stability, and action in both the cytoplasm and nucleus are among the main features of SG proteins. The present scoping review aimed to consider all studies on the effect of SGs on cancer formation, proliferation, and metastasis and performed based on a six-stage methodology structure and the PRISMA guideline. A systematic search of seven databases for qualified articles was conducted before July 2021. Publications were screened, and quantitative and qualitative analysis was performed on the extracted data. Go analysis was performed on seventy-one SGs protein components. Remarkably G3BP1, TIA1, TIAR, and YB1 have the largest share among the proteins considered in the studies. Altogether, this scoping review tries to demonstrate and provide a comprehensive summary of the role of SGs in the formation, progression, and metastasis of cancer by reviewing all studies.
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Affiliation(s)
- Mohammad Reza Asadi
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Dara Rahmanpour
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Hani Sabaie
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehdi Hassani
- Student Research Committee, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Rezazadeh
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
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8
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Yuan W, Al-Hadid Q, Wang Z, Shen L, Cho H, Wu X, Yang Y. TDRD3 promotes DHX9 chromatin recruitment and R-loop resolution. Nucleic Acids Res 2021; 49:8573-8591. [PMID: 34329467 PMCID: PMC8421139 DOI: 10.1093/nar/gkab642] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 06/14/2021] [Accepted: 07/19/2021] [Indexed: 11/12/2022] Open
Abstract
R-loops, which consist of a DNA/RNA hybrid and a displaced single-stranded DNA (ssDNA), are increasingly recognized as critical regulators of chromatin biology. R-loops are particularly enriched at gene promoters, where they play important roles in regulating gene expression. However, the molecular mechanisms that control promoter-associated R-loops remain unclear. The epigenetic ‘reader’ Tudor domain-containing protein 3 (TDRD3), which recognizes methylarginine marks on histones and on the C-terminal domain of RNA polymerase II, was previously shown to recruit DNA topoisomerase 3B (TOP3B) to relax negatively supercoiled DNA and prevent R-loop formation. Here, we further characterize the function of TDRD3 in R-loop metabolism and introduce the DExH-box helicase 9 (DHX9) as a novel interaction partner of the TDRD3/TOP3B complex. TDRD3 directly interacts with DHX9 via its Tudor domain. This interaction is important for recruiting DHX9 to target gene promoters, where it resolves R-loops in a helicase activity-dependent manner to facilitate gene expression. Additionally, TDRD3 also stimulates the helicase activity of DHX9. This stimulation relies on the OB-fold of TDRD3, which likely binds the ssDNA in the R-loop structure. Thus, DHX9 functions together with TOP3B to suppress promoter-associated R-loops. Collectively, these findings reveal new functions of TDRD3 and provide important mechanistic insights into the regulation of R-loop metabolism.
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Affiliation(s)
- Wei Yuan
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Qais Al-Hadid
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Zhihao Wang
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Lei Shen
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Hyejin Cho
- Department of Molecular and Cellular Biology, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Xiwei Wu
- Department of Molecular and Cellular Biology, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
| | - Yanzhong Yang
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA 91010, USA
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Chen X, Shi X, Neuwald AF, Hilakivi-Clarke L, Clarke R, Xuan J. ChIP-BIT2: a software tool to detect weak binding events using a Bayesian integration approach. BMC Bioinformatics 2021; 22:193. [PMID: 33858322 PMCID: PMC8051094 DOI: 10.1186/s12859-021-04108-5] [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: 09/12/2020] [Accepted: 03/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND ChIP-seq combines chromatin immunoprecipitation assays with sequencing and identifies genome-wide binding sites for DNA binding proteins. While many binding sites have strong ChIP-seq 'peak' observations and are well captured, there are still regions bound by proteins weakly, with a relatively low ChIP-seq signal enrichment. These weak binding sites, especially those at promoters and enhancers, are functionally important because they also regulate nearby gene expression. Yet, it remains a challenge to accurately identify weak binding sites in ChIP-seq data due to the ambiguity in differentiating these weak binding sites from the amplified background DNAs. RESULTS ChIP-BIT2 ( http://sourceforge.net/projects/chipbitc/ ) is a software package for ChIP-seq peak detection. ChIP-BIT2 employs a mixture model integrating protein and control ChIP-seq data and predicts strong or weak protein binding sites at promoters, enhancers, or other genomic locations. For binding sites at gene promoters, ChIP-BIT2 simultaneously predicts their target genes. ChIP-BIT2 has been validated on benchmark regions and tested using large-scale ENCODE ChIP-seq data, demonstrating its high accuracy and wide applicability. CONCLUSION ChIP-BIT2 is an efficient ChIP-seq peak caller. It provides a better lens to examine weak binding sites and can refine or extend the existing binding site collection, providing additional regulatory regions for decoding the mechanism of gene expression regulation.
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Affiliation(s)
- Xi Chen
- grid.438526.e0000 0001 0694 4940Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA 22203 USA ,grid.430264.7Center for Computational Biology, Flatiron Institute, Simons Foundation, 162 Fifth Avenue, New York, NY 10010 USA
| | - Xu Shi
- grid.438526.e0000 0001 0694 4940Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA 22203 USA
| | - Andrew F. Neuwald
- grid.411024.20000 0001 2175 4264Institute for Genome Sciences and Department Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Leena Hilakivi-Clarke
- grid.17635.360000000419368657Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN 55912 USA
| | - Robert Clarke
- grid.17635.360000000419368657Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN 55912 USA
| | - Jianhua Xuan
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 900 North Glebe Road, Arlington, VA, 22203, USA.
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Park IG, Jeon M, Kim H, Lee JM. Coordinated methyl readers: Functional communications in cancer. Semin Cancer Biol 2021; 83:88-99. [PMID: 33753223 DOI: 10.1016/j.semcancer.2021.03.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 02/18/2021] [Accepted: 03/16/2021] [Indexed: 01/28/2023]
Abstract
Methylation is a major post-translational modification (PTM) generated by methyltransferase on target proteins; it is recognized by the epigenetic reader to expand the functional diversity of proteins. Methylation can occur on specific lysine or arginine residues localized within regulatory domains in both histone and nonhistone proteins, thereby allowing distinguished properties of the targeted protein. Methylated residues are recognized by chromodomain, malignant brain tumor (MBT), Tudor, plant homeodomain (PHD), PWWP, WD-40, ADD, and ankyrin repeats by an induced-fit mechanism. Methylation-dependent activities regulate distinct aspects of target protein function and are largely reliant on methyl readers of histone and nonhistone proteins in various diseases. Methylation of nonhistone proteins that are recognized by methyl readers facilitates the degradation of unwanted proteins, as well as the stabilization of necessary proteins. Unlike nonhistone substrates, which are mainly monomethylated by methyltransferase, histones are di- or trimethylated by the same methyltransferases and then connected to other critical regulators by methyl readers. These fine-tuned controls by methyl readers are significant for the progression or inhibition of diseases, including cancers. Here, current knowledge and our perspectives about regulating protein function by methyl readers are summarized. We also propose that expanded research on the strong crosstalk mechanisms between methylation and other PTMs via methyl readers would augment therapeutic research in cancer.
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Affiliation(s)
- Il-Geun Park
- Department of Molecular Bioscience, College of Biomedical Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Minsol Jeon
- Department of Biochemistry and Molecular Biology, Korea University College of Medicine, Seoul 02841, Republic of Korea; BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Hyunkyung Kim
- Department of Biochemistry and Molecular Biology, Korea University College of Medicine, Seoul 02841, Republic of Korea; BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Republic of Korea.
| | - Ji Min Lee
- Department of Molecular Bioscience, College of Biomedical Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea.
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11
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Damiani E, Duran MN, Mohan N, Rajendran P, Dashwood RH. Targeting Epigenetic 'Readers' with Natural Compounds for Cancer Interception. J Cancer Prev 2020; 25:189-203. [PMID: 33409252 PMCID: PMC7783241 DOI: 10.15430/jcp.2020.25.4.189] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/03/2020] [Accepted: 12/05/2020] [Indexed: 12/14/2022] Open
Abstract
Natural compounds from diverse sources, including botanicals and commonly consumed foods and beverages, exert beneficial health effects via mechanisms that impact the epigenome and gene expression during disease pathogenesis. By targeting the so-called epigenetic 'readers', 'writers', and 'erasers', dietary phytochemicals can reverse abnormal epigenome signatures in cancer cells and preneoplastic stages. Thus, such agents provide avenues for cancer interception via prevention or treatment/therapeutic strategies. To date, much of the focus on dietary agents has been directed towards writers (e.g., histone acetyltransferases) and erasers (e.g., histone deacetylases), with less attention given to epigenetic readers (e.g., BRD proteins). The drug JQ1 was developed as a prototype epigenetic reader inhibitor, selectively targeting members of the bromodomain and extraterminal domain (BET) family, such as BRD4. Clinical trials with JQ1 as a single agent, or in combination with standard of care therapy, revealed antitumor efficacy but not without toxicity or resistance. In pursuit of second-generation epigenetic reader inhibitors, attention has shifted to natural sources, including dietary agents that might be repurposed as 'JQ1-like' bioactives. This review summarizes the current status of nascent research activity focused on natural compounds as inhibitors of BET and other epigenetic 'reader' proteins, with a perspective on future directions and opportunities.
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Affiliation(s)
- Elisabetta Damiani
- Department of Life and Environmental Sciences, Polytechnic University of the Marche, Ancona, Italy
| | - Munevver N. Duran
- Center for Epigenetics & Disease Prevention, Texas A&M Health Science Center, TX, USA
| | - Nivedhitha Mohan
- Center for Epigenetics & Disease Prevention, Texas A&M Health Science Center, TX, USA
| | - Praveen Rajendran
- Center for Epigenetics & Disease Prevention, Texas A&M Health Science Center, TX, USA
| | - Roderick H. Dashwood
- Center for Epigenetics & Disease Prevention, Texas A&M Health Science Center, TX, USA
- Department of Translational Medical Sciences, Texas A&M College of Medicine, Houston, TX, USA
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12
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Linhares BM, Grembecka J, Cierpicki T. Targeting epigenetic protein-protein interactions with small-molecule inhibitors. Future Med Chem 2020; 12:1305-1326. [PMID: 32551894 PMCID: PMC7421387 DOI: 10.4155/fmc-2020-0082] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 05/01/2020] [Indexed: 02/07/2023] Open
Abstract
Epigenetic protein-protein interactions (PPIs) play essential roles in regulating gene expression, and their dysregulations have been implicated in many diseases. These PPIs are comprised of reader domains recognizing post-translational modifications on histone proteins, and of scaffolding proteins that maintain integrities of epigenetic complexes. Targeting PPIs have become focuses for development of small-molecule inhibitors and anticancer therapeutics. Here we summarize efforts to develop small-molecule inhibitors targeting common epigenetic PPI domains. Potent small molecules have been reported for many domains, yet small domains that recognize methylated lysine side chains on histones are challenging in inhibitor development. We posit that the development of potent inhibitors for difficult-to-prosecute epigenetic PPIs may be achieved by interdisciplinary approaches and extensive explorations of chemical space.
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Affiliation(s)
- Brian M Linhares
- Biophysics Program, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Jolanta Grembecka
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Tomasz Cierpicki
- Biophysics Program, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
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13
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Unearthing Regulatory Axes of Breast Cancer circRNAs Networks to Find Novel Targets and Fathom Pivotal Mechanisms. Interdiscip Sci 2019; 11:711-722. [PMID: 31187432 DOI: 10.1007/s12539-019-00339-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 05/22/2019] [Accepted: 05/29/2019] [Indexed: 01/20/2023]
Abstract
Circular RNAs (circRNAs) possess valuable characteristics for both diagnosis and treatment of several human cancers including breast cancer (BC). In this study, we combined several systems, biology tools and approaches to identify influential BC circRNAs, miRNAs, and related mRNAs as the members of competing endogenous RNAs (ceRNAs) networks and related RNA binding proteins (RBPs) to study and decipher the BC-triggering biological processes and pathways. Rooting from the identified total of 25 co-differentially expressed circRNAs (DECs) between triple negative (TN) and luminal A subtypes of BC from microarray analysis, five hub DECs (hsa_circ_0003227, hsa_circ_0001955, hsa_circ_0020080, hsa_circ_0001666, and hsa_circ_0065173) and top eleven RBPs (AGO1, AGO2, EIF4A3, FMRP, HuR (ELAVL1), IGF2BP1, IGF2BP2, IGF2BP3, EWSR1, FUS, and PTB) were explored to form the upper stream regulatory elements. All the hub circRNAs were regarded as a super sponge having multiple miRNA response elements (MREs). Then, three BC leading miRNAs (hsa-miR-149, hsa-miR-182, and hsa-miR-383) were also introduced from merging several established ceRNAs networks. The predicted 7- and 8-mer MREs matches between hub circRNAs and leading miRNAs ensured their enduring regulatory capability. The mined downstream mRNAs of the circRNAs-miRNAs network then were presented to STRING database to form the PPI network and to decipher the issue from another point of view. The BC interconnected enriched pathways and processes guarantee the merits of the ceRNAs network's members as targetable therapeutic elements. This study suggested extensive panels of novel therapeutic targets that are in charge of BC progression, hence their impressive role cannot be excluded and needs deeper empirical laboratory designs.
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Liu J, Zhang S, Liu M, Liu Y, Nshogoza G, Gao J, Ma R, Yang Y, Wu J, Zhang J, Li F, Ruan K. Structural plasticity of the TDRD3 Tudor domain probed by a fragment screening hit. FEBS J 2018; 285:2091-2103. [DOI: 10.1111/febs.14469] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 03/21/2018] [Accepted: 04/05/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Jiuyang Liu
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Shuya Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Mingqing Liu
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Yaqian Liu
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Gilbert Nshogoza
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Jia Gao
- Center of Medical Physics and Technology Hefei Institute of Physical Science Chinese Academy of Science Hefei China
| | - Rongsheng Ma
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Yang Yang
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Jihui Wu
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Jiahai Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Fudong Li
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
| | - Ke Ruan
- Hefei National Laboratory for Physical Sciences at the Microscale School of Life Sciences University of Science and Technology of China Hefei China
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