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Yun H, Zoller J, Zhou F, Rohde C, Liu Y, Blank MF, Göllner S, Müller-Tidow C. The landscape of RNA-chromatin interaction reveals small non-coding RNAs as essential mediators of leukemia maintenance. Leukemia 2024; 38:1688-1698. [PMID: 38942785 PMCID: PMC11286530 DOI: 10.1038/s41375-024-02322-7] [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: 12/06/2023] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 06/30/2024]
Abstract
RNA constitutes a large fraction of chromatin. Spatial distribution and functional relevance of most of RNA-chromatin interactions remain unknown. We established a landscape analysis of RNA-chromatin interactions in human acute myeloid leukemia (AML). In total more than 50 million interactions were captured in an AML cell line. Protein-coding mRNAs and long non-coding RNAs exhibited a substantial number of interactions with chromatin in cis suggesting transcriptional activity. In contrast, small nucleolar RNAs (snoRNAs) and small nuclear RNAs (snRNAs) associated with chromatin predominantly in trans suggesting chromatin specific functions. Of note, snoRNA-chromatin interaction was associated with chromatin modifications and occurred independently of the classical snoRNA-RNP complex. Two C/D box snoRNAs, namely SNORD118 and SNORD3A, displayed high frequency of trans-association with chromatin. The transcription of SNORD118 and SNORD3A was increased upon leukemia transformation and enriched in leukemia stem cells, but decreased during myeloid differentiation. Suppression of SNORD118 and SNORD3A impaired leukemia cell proliferation and colony forming capacity in AML cell lines and primary patient samples. Notably, this effect was leukemia specific with less impact on healthy CD34+ hematopoietic stem and progenitor cells. These findings highlight the functional importance of chromatin-associated RNAs overall and in particular of SNORD118 and SNORD3A in maintaining leukemia propagation.
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MESH Headings
- Humans
- Chromatin/metabolism
- Chromatin/genetics
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/pathology
- Leukemia, Myeloid, Acute/metabolism
- RNA, Small Untranslated/genetics
- Cell Proliferation/genetics
- RNA, Small Nucleolar/genetics
- RNA, Small Nucleolar/metabolism
- Cell Line, Tumor
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Affiliation(s)
- Haiyang Yun
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany.
- The Robert Bosch Center for Tumor Diseases, Stuttgart, Germany.
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany.
| | - Julian Zoller
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Fengbiao Zhou
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany
| | - Christian Rohde
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany
| | - Yi Liu
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany
| | - Maximilian Felix Blank
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany
- Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Göllner
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany.
- Molecular Medicine Partnership Unit, European Molecule Biology Laboratory (EMBL), Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), Heidelberg, Germany.
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2
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Ma H, Qu J, Pang Z, Luo J, Yan M, Xu W, Zhuang H, Liu L, Qu Q. Super-enhancer omics in stem cell. Mol Cancer 2024; 23:153. [PMID: 39090713 PMCID: PMC11293198 DOI: 10.1186/s12943-024-02066-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: 04/19/2024] [Accepted: 07/12/2024] [Indexed: 08/04/2024] Open
Abstract
The hallmarks of stem cells, such as proliferation, self-renewal, development, differentiation, and regeneration, are critical to maintain stem cell identity which is sustained by genetic and epigenetic factors. Super-enhancers (SEs), which consist of clusters of active enhancers, play a central role in maintaining stemness hallmarks by specifically transcriptional model. The SE-navigated transcriptional complex, including SEs, non-coding RNAs, master transcriptional factors, Mediators and other co-activators, forms phase-separated condensates, which offers a toggle for directing diverse stem cell fate. With the burgeoning technologies of multiple-omics applied to examine different aspects of SE, we firstly raise the concept of "super-enhancer omics", inextricably linking to Pan-omics. In the review, we discuss the spatiotemporal organization and concepts of SEs, and describe links between SE-navigated transcriptional complex and stem cell features, such as stem cell identity, self-renewal, pluripotency, differentiation and development. We also elucidate the mechanism of stemness and oncogenic SEs modulating cancer stem cells via genomic and epigenetic alterations hijack in cancer stem cell. Additionally, we discuss the potential of targeting components of the SE complex using small molecule compounds, genome editing, and antisense oligonucleotides to treat SE-associated organ dysfunction and diseases, including cancer. This review also provides insights into the future of stem cell research through the paradigm of SEs.
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Affiliation(s)
- Hongying Ma
- Department of Pharmacy, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, People's Republic of China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Jian Qu
- Department of Pharmacy, the Second Xiangya Hospital, Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China
- Hunan key laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, 410219, China
| | - Zicheng Pang
- Department of Pharmacy, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, People's Republic of China
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Jian Luo
- Department of Pharmacy, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, People's Republic of China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Min Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, People's Republic of China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Weixin Xu
- Department of Pharmacy, the Second Xiangya Hospital, Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China
| | - Haihui Zhuang
- Department of Pharmacy, the Second Xiangya Hospital, Institute of Clinical Pharmacy, Central South University, Changsha, 410011, People's Republic of China
| | - Linxin Liu
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China
| | - Qiang Qu
- Department of Pharmacy, Xiangya Hospital, Central South University, No.87 Xiangya Road, Changsha, 410008, People's Republic of China.
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, 410011, People's Republic of China.
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3
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Kuang S, Pollard KS. Exploring the roles of RNAs in chromatin architecture using deep learning. Nat Commun 2024; 15:6373. [PMID: 39075082 PMCID: PMC11286850 DOI: 10.1038/s41467-024-50573-w] [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: 10/23/2023] [Accepted: 07/12/2024] [Indexed: 07/31/2024] Open
Abstract
Recent studies have highlighted the impact of both transcription and transcripts on 3D genome organization, particularly its dynamics. Here, we propose a deep learning framework, called AkitaR, that leverages both genome sequences and genome-wide RNA-DNA interactions to investigate the roles of chromatin-associated RNAs (caRNAs) on genome folding in HFFc6 cells. In order to disentangle the cis- and trans-regulatory roles of caRNAs, we have compared models with nascent transcripts, trans-located caRNAs, open chromatin data, or DNA sequence alone. Both nascent transcripts and trans-located caRNAs improve the models' predictions, especially at cell-type-specific genomic regions. Analyses of feature importance scores reveal the contribution of caRNAs at TAD boundaries, chromatin loops and nuclear sub-structures such as nuclear speckles and nucleoli to the models' predictions. Furthermore, we identify non-coding RNAs (ncRNAs) known to regulate chromatin structures, such as MALAT1 and NEAT1, as well as several new RNAs, RNY5, RPPH1, POLG-DT and THBS1-IT1, that might modulate chromatin architecture through trans-interactions in HFFc6. Our modeling also suggests that transcripts from Alus and other repetitive elements may facilitate chromatin interactions through trans R-loop formation. Our findings provide insights and generate testable hypotheses about the roles of caRNAs in shaping chromatin organization.
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Affiliation(s)
- Shuzhen Kuang
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Katherine S Pollard
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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4
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Tian SZ, Yang Y, Ning D, Fang K, Jing K, Huang G, Xu Y, Yin P, Huang H, Chen G, Deng Y, Zhang S, Zhang Z, Chen Z, Gao T, Chen W, Li G, Tian R, Ruan Y, Li Y, Zheng M. 3D chromatin structures associated with ncRNA roX2 for hyperactivation and coactivation across the entire X chromosome. SCIENCE ADVANCES 2024; 10:eado5716. [PMID: 39058769 PMCID: PMC11277285 DOI: 10.1126/sciadv.ado5716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024]
Abstract
The three-dimensional (3D) organization of chromatin within the nucleus is crucial for gene regulation. However, the 3D architectural features that coordinate the activation of an entire chromosome remain largely unknown. We introduce an omics method, RNA-associated chromatin DNA-DNA interactions, that integrates RNA polymerase II (RNAPII)-mediated regulome with stochastic optical reconstruction microscopy to investigate the landscape of noncoding RNA roX2-associated chromatin topology for gene equalization to achieve dosage compensation. Our findings reveal that roX2 anchors to the target gene transcription end sites (TESs) and spreads in a distinctive boot-shaped configuration, promoting a more open chromatin state for hyperactivation. Furthermore, roX2 arches TES to transcription start sites to enhance transcriptional loops, potentially facilitating RNAPII convoying and connecting proximal promoter-promoter transcriptional hubs for synergistic gene regulation. These TESs cluster as roX2 compartments, surrounded by inactive domains for coactivation of multiple genes within the roX2 territory. In addition, roX2 structures gradually form and scaffold for stepwise coactivation in dosage compensation.
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Affiliation(s)
- Simon Zhongyuan Tian
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yang Yang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Duo Ning
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Ke Fang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Kai Jing
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Guangyu Huang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yewen Xu
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Pengfei Yin
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Haibo Huang
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518000, China
| | - Gengzhan Chen
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yuqing Deng
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Shaohong Zhang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhimin Zhang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhenxia Chen
- Hubei Hongshan Laboratory, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Tong Gao
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Wei Chen
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Guoliang Li
- Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Ruilin Tian
- Department of Medical Neuroscience, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Key University Laboratory of Metabolism and Health of Guangdong, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yijun Ruan
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yiming Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Meizhen Zheng
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
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5
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Ye R, Zhao H, Wang X, Xue Y. Technological advancements in deciphering RNA-RNA interactions. Mol Cell 2024:S1097-2765(24)00543-4. [PMID: 39047724 DOI: 10.1016/j.molcel.2024.06.036] [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: 04/15/2024] [Revised: 06/11/2024] [Accepted: 06/28/2024] [Indexed: 07/27/2024]
Abstract
RNA-RNA interactions (RRIs) can dictate RNA molecules to form intricate higher-order structures and bind their RNA substrates in diverse biological processes. To elucidate the function, binding specificity, and regulatory mechanisms of various RNA molecules, especially the vast repertoire of non-coding RNAs, advanced technologies and methods that globally map RRIs are extremely valuable. In the past decades, many state-of-the-art technologies have been developed for this purpose. This review focuses on those high-throughput technologies for the global mapping of RRIs. We summarize the key concepts and the pros and cons of different technologies. In addition, we highlight the novel biological insights uncovered by these RRI mapping methods and discuss the future challenges for appreciating the crucial roles of RRIs in gene regulation across bacteria, viruses, archaea, and mammals.
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Affiliation(s)
- Rong Ye
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Hailian Zhao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xi Wang
- State Key Laboratory of Female Fertility Promotion, Clinical Stem Cell Research Center, Peking University Third Hospital, Beijing 100191, China
| | - Yuanchao Xue
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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6
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Yang S, Kim SH, Yang E, Kang M, Joo JY. Molecular insights into regulatory RNAs in the cellular machinery. Exp Mol Med 2024; 56:1235-1249. [PMID: 38871819 PMCID: PMC11263585 DOI: 10.1038/s12276-024-01239-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/27/2024] [Accepted: 03/05/2024] [Indexed: 06/15/2024] Open
Abstract
It is apparent that various functional units within the cellular machinery are derived from RNAs. The evolution of sequencing techniques has resulted in significant insights into approaches for transcriptome studies. Organisms utilize RNA to govern cellular systems, and a heterogeneous class of RNAs is involved in regulatory functions. In particular, regulatory RNAs are increasingly recognized to participate in intricately functioning machinery across almost all levels of biological systems. These systems include those mediating chromatin arrangement, transcription, suborganelle stabilization, and posttranscriptional modifications. Any class of RNA exhibiting regulatory activity can be termed a class of regulatory RNA and is typically represented by noncoding RNAs, which constitute a substantial portion of the genome. These RNAs function based on the principle of structural changes through cis and/or trans regulation to facilitate mutual RNA‒RNA, RNA‒DNA, and RNA‒protein interactions. It has not been clearly elucidated whether regulatory RNAs identified through deep sequencing actually function in the anticipated mechanisms. This review addresses the dominant properties of regulatory RNAs at various layers of the cellular machinery and covers regulatory activities, structural dynamics, modifications, associated molecules, and further challenges related to therapeutics and deep learning.
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Affiliation(s)
- Sumin Yang
- Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea
| | - Sung-Hyun Kim
- Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea
| | - Eunjeong Yang
- Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea
| | - Mingon Kang
- Department of Computer Science, University of Nevada, Las Vegas, NV, 89154, USA
| | - Jae-Yeol Joo
- Department of Pharmacy, College of Pharmacy, Hanyang University, Ansan, Gyeonggi-do, 15588, Republic of Korea.
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7
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Leisegang MS, Warwick T, Stötzel J, Brandes RP. RNA-DNA triplexes: molecular mechanisms and functional relevance. Trends Biochem Sci 2024; 49:532-544. [PMID: 38582689 DOI: 10.1016/j.tibs.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/05/2024] [Accepted: 03/18/2024] [Indexed: 04/08/2024]
Abstract
Interactions of RNA with DNA are principles of gene expression control that have recently gained considerable attention. Among RNA-DNA interactions are R-loops and RNA-DNA hybrid G-quadruplexes, as well as RNA-DNA triplexes. It is proposed that RNA-DNA triplexes guide RNA-associated regulatory proteins to specific genomic locations, influencing transcription and epigenetic decision making. Although triplex formation initially was considered solely an in vitro event, recent progress in computational, biochemical, and biophysical methods support in vivo functionality with relevance for gene expression control. Here, we review the central methodology and biology of triplexes, outline paradigms required for triplex function, and provide examples of physiologically important triplex-forming long non-coding RNAs.
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Affiliation(s)
- Matthias S Leisegang
- Institute for Cardiovascular Physiology, Goethe University Frankfurt, Frankfurt, Germany; German Centre of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt, Germany.
| | - Timothy Warwick
- Institute for Cardiovascular Physiology, Goethe University Frankfurt, Frankfurt, Germany; German Centre of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt, Germany
| | - Julia Stötzel
- Institute for Cardiovascular Physiology, Goethe University Frankfurt, Frankfurt, Germany; German Centre of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt, Germany
| | - Ralf P Brandes
- Institute for Cardiovascular Physiology, Goethe University Frankfurt, Frankfurt, Germany; German Centre of Cardiovascular Research (DZHK), Partner site RheinMain, Frankfurt, Germany
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8
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Xie X, Sinha S. Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic data. PLoS Comput Biol 2024; 20:e1012103. [PMID: 38838009 PMCID: PMC11198904 DOI: 10.1371/journal.pcbi.1012103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 06/25/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024] Open
Abstract
Long non-coding RNAs (lncRNAs) have received attention in recent years for their regulatory roles in diverse biological contexts including cancer, yet large gaps remain in our understanding of their mechanisms and global maps of their targets. In this work, we investigated a basic unanswered question of lncRNA systems biology: to what extent can gene expression variation across individuals be attributed to lncRNA-driven regulation? To answer this, we analyzed RNA-seq data from a cohort of breast cancer patients, explaining each gene's expression variation using a small set of automatically selected lncRNA regulators. A key aspect of this analysis is that it accounts for confounding effects of transcription factors (TFs) as common regulators of a lncRNA-mRNA pair, to enrich the explained gene expression for lncRNA-mediated regulation. We found that for 16% of analyzed genes, lncRNAs can explain more than 20% of expression variation. We observed 25-50% of the putative regulator lncRNAs to be in 'cis' to, i.e., overlapping or located proximally to the target gene. This led us to quantify the global regulatory impact of such cis-located lncRNAs, which was found to be substantially greater than that of trans-located lncRNAs. Additionally, by including statistical interaction terms involving lncRNA-protein pairs as predictors in our regression models, we identified cases where a lncRNA's regulatory effect depends on the presence of a TF or RNA-binding protein. Finally, we created a high-confidence lncRNA-gene regulatory network whose edges are supported by co-expression as well as a plausible mechanism such as cis-action, protein scaffolding or competing endogenous RNAs. Our work is a first attempt to quantify the extent of gene expression control exerted globally by lncRNAs, especially those located proximally to their regulatory targets, in a specific biological (breast cancer) context. It also marks a first step towards systematic reconstruction of lncRNA regulatory networks, going beyond the current paradigm of co-expression networks, and motivates future analyses assessing the generalizability of our findings to additional biological contexts.
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Affiliation(s)
- Xiaoman Xie
- Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America
| | - Saurabh Sinha
- Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
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9
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Aslanzadeh M, Stanicek L, Tarbier M, Mármol-Sánchez E, Biryukova I, Friedländer M. Malat1 affects transcription and splicing through distinct pathways in mouse embryonic stem cells. NAR Genom Bioinform 2024; 6:lqae045. [PMID: 38711862 PMCID: PMC11071118 DOI: 10.1093/nargab/lqae045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/14/2024] [Accepted: 04/30/2024] [Indexed: 05/08/2024] Open
Abstract
Malat1 is a long-noncoding RNA with critical roles in gene regulation and cancer metastasis, however its functional role in stem cells is largely unexplored. We here perform a nuclear knockdown of Malat1 in mouse embryonic stem cells, causing the de-regulation of 320 genes and aberrant splicing of 90 transcripts, some of which potentially affecting the translated protein sequence. We find evidence that Malat1 directly interacts with gene bodies and aberrantly spliced transcripts, and that it locates upstream of down-regulated genes at their putative enhancer regions, in agreement with functional genomics data. Consistent with this, we find these genes affected at both exon and intron levels, suggesting that they are transcriptionally regulated by Malat1. Besides, the down-regulated genes are regulated by specific transcription factors and bear both activating and repressive chromatin marks, suggesting that some of them might be regulated by bivalent promoters. We propose a model in which Malat1 facilitates the transcription of genes involved in chromatid dynamics and mitosis in one pathway, and affects the splicing of transcripts that are themselves involved in RNA processing in a distinct pathway. Lastly, we compare our findings with Malat1 perturbation studies performed in other cell systems and in vivo.
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Affiliation(s)
- Morteza Aslanzadeh
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Sweden
| | - Laura Stanicek
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Sweden
| | - Marcel Tarbier
- Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - Emilio Mármol-Sánchez
- Science for Life Laboratory and Center for Palaeogenetics. Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Sweden
| | - Inna Biryukova
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Sweden
| | - Marc R Friedländer
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Sweden
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10
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Mylarshchikov D, Nikolskaya A, Bogomaz O, Zharikova A, Mironov A. BaRDIC: robust peak calling for RNA-DNA interaction data. NAR Genom Bioinform 2024; 6:lqae054. [PMID: 38774512 PMCID: PMC11106031 DOI: 10.1093/nargab/lqae054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/24/2024] Open
Abstract
Chromatin-associated non-coding RNAs play important roles in various cellular processes by targeting genomic loci. Two types of genome-wide NGS experiments exist to detect such targets: 'one-to-al', which focuses on targets of a single RNA, and 'all-to-al', which captures targets of all RNAs in a sample. As with many NGS experiments, they are prone to biases and noise, so it becomes essential to detect 'peaks'-specific interactions of an RNA with genomic targets. Here, we present BaRDIC-Binomial RNA-DNA Interaction Caller-a tailored method to detect peaks in both types of RNA-DNA interaction data. BaRDIC is the first tool to simultaneously take into account the two most prominent biases in the data: chromatin heterogeneity and distance-dependent decay of interaction frequency. Since RNAs differ in their interaction preferences, BaRDIC adapts peak sizes according to the abundances and contact patterns of individual RNAs. These features enable BaRDIC to make more robust predictions than currently applied peak-calling algorithms and better handle the characteristic sparsity of all-to-all data. The BaRDIC package is freely available at https://github.com/dmitrymyl/BaRDIC.
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Affiliation(s)
- Dmitry E Mylarshchikov
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
| | - Arina I Nikolskaya
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
| | - Olesja D Bogomaz
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
| | - Anastasia A Zharikova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
| | - Andrey A Mironov
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
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11
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Jayne ND, Liang Z, Lim DH, Chen PB, Diaz C, Arimoto KI, Xia L, Liu M, Ren B, Fu XD, Zhang DE. RUNX1 C-terminal mutations impair blood cell differentiation by perturbing specific enhancer-promoter networks. Blood Adv 2024; 8:2410-2423. [PMID: 38513139 PMCID: PMC11112616 DOI: 10.1182/bloodadvances.2023011484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 01/02/2024] [Accepted: 02/15/2024] [Indexed: 03/23/2024] Open
Abstract
ABSTRACT The transcription factor RUNX1 is a master regulator of hematopoiesis and is frequently mutated in myeloid malignancies. Mutations in its runt homology domain (RHD) frequently disrupt DNA binding and result in loss of RUNX1 function. However, it is not clearly understood how other RUNX1 mutations contribute to disease development. Here, we characterized RUNX1 mutations outside of the RHD. Our analysis of the patient data sets revealed that mutations within the C-terminus frequently occur in hematopoietic disorders. Remarkably, most of these mutations were nonsense or frameshift mutations and were predicted to be exempt from nonsense-mediated messenger RNA decay. Therefore, this class of mutation is projected to produce DNA-binding proteins that contribute to the pathogenesis in a distinct manner. To model this, we introduced the RUNX1R320∗ mutation into the endogenous gene locus and demonstrated the production of RUNX1R320∗ protein. Expression of RUNX1R320∗ resulted in the disruption of RUNX1 regulated processes such as megakaryocytic differentiation, through a transcriptional signature different from RUNX1 depletion. To understand the underlying mechanisms, we used Global RNA Interactions with DNA by deep sequencing (GRID-seq) to examine enhancer-promoter connections. We identified widespread alterations in the enhancer-promoter networks within RUNX1 mutant cells. Additionally, we uncovered enrichment of RUNX1R320∗ and FOXK2 binding at the MYC super enhancer locus, significantly upregulating MYC transcription and signaling pathways. Together, our study demonstrated that most RUNX1 mutations outside the DNA-binding domain are not subject to nonsense-mediated decay, producing protein products that act in concert with additional cofactors to dysregulate hematopoiesis through mechanisms distinct from those induced by RUNX1 depletion.
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Affiliation(s)
- Nathan D. Jayne
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
- School of Biological Sciences, University of California San Diego, La Jolla, CA
| | - Zhengyu Liang
- School of Medicine, University of California San Diego, La Jolla, CA
| | - Do-Hwan Lim
- School of Medicine, University of California San Diego, La Jolla, CA
| | - Poshen B. Chen
- School of Medicine, University of California San Diego, La Jolla, CA
| | - Cristina Diaz
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
- School of Biological Sciences, University of California San Diego, La Jolla, CA
| | - Kei-Ichiro Arimoto
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
| | - Lingbo Xia
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
- School of Biological Sciences, University of California San Diego, La Jolla, CA
| | - Mengdan Liu
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
- School of Biological Sciences, University of California San Diego, La Jolla, CA
| | - Bing Ren
- School of Medicine, University of California San Diego, La Jolla, CA
| | - Xiang-Dong Fu
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Dong-Er Zhang
- Moores UCSD Cancer Center, University of California San Diego, La Jolla, CA
- School of Biological Sciences, University of California San Diego, La Jolla, CA
- School of Medicine, University of California San Diego, La Jolla, CA
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12
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Agrawal S, Buyan A, Severin J, Koido M, Alam T, Abugessaisa I, Chang HY, Dostie J, Itoh M, Kere J, Kondo N, Li Y, Makeev VJ, Mendez M, Okazaki Y, Ramilowski JA, Sigorskikh AI, Strug LJ, Yagi K, Yasuzawa K, Yip CW, Hon CC, Hoffman MM, Terao C, Kulakovskiy IV, Kasukawa T, Shin JW, Carninci P, de Hoon MJL. Annotation of nuclear lncRNAs based on chromatin interactions. PLoS One 2024; 19:e0295971. [PMID: 38709794 PMCID: PMC11073715 DOI: 10.1371/journal.pone.0295971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/02/2023] [Indexed: 05/08/2024] Open
Abstract
The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRNAs have been shown to be important regulatory components acting locally. As RNA-chromatin interaction and Hi-C chromatin conformation data showed that chromatin interactions of nuclear lncRNAs are determined by the local chromatin 3D conformation, we used Hi-C data to identify potential target genes of lncRNAs. RNA-protein interaction data suggested that nuclear lncRNAs act as scaffolds to recruit regulatory proteins to target promoters and enhancers. Nuclear lncRNAs may therefore play a role in directing regulatory factors to locations spatially close to the lncRNA gene. We provide the analysis results through an interactive visualization web portal at https://fantom.gsc.riken.jp/zenbu/reports/#F6_3D_lncRNA.
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Affiliation(s)
- Saumya Agrawal
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Andrey Buyan
- Autosome.org, Russia
- FANTOM Consortium, Dolgoprudny, Russia
| | - Jessica Severin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaru Koido
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tanvir Alam
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | | | - Howard Y. Chang
- Center for Personal Dynamic Regulome, Stanford University, Stanford, California, United States of America
| | - Josée Dostie
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, Canada
| | - Masayoshi Itoh
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Japan
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Stem Cells and Metabolism Research Program, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Naoto Kondo
- RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Yunjing Li
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Mickaël Mendez
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Yasushi Okazaki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Jordan A. Ramilowski
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Advanced Medical Research Center, Yokohama City University, Yokohama, Japan
| | | | - Lisa J. Strug
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Department of Statistical Sciences, University of Toronto, Ontario, Canada
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ken Yagi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kayoko Yasuzawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chi Wai Yip
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chung Chau Hon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michael M. Hoffman
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
| | - Chikashi Terao
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Takeya Kasukawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Jay W. Shin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Human Technopole, Milan, Italy
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13
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Yu H, Zhao J, Shen Y, Qiao L, Liu Y, Xie G, Chang S, Ge T, Li N, Chen M, Li H, Zhang J, Wang X. The dynamic landscape of enhancer-derived RNA during mouse early embryo development. Cell Rep 2024; 43:114077. [PMID: 38592974 DOI: 10.1016/j.celrep.2024.114077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/10/2024] [Accepted: 03/22/2024] [Indexed: 04/11/2024] Open
Abstract
Enhancer-derived RNAs (eRNAs) play critical roles in diverse biological processes by facilitating their target gene expression. However, the abundance and function of eRNAs in early embryos are not clear. Here, we present a comprehensive eRNA atlas by systematically integrating publicly available datasets of mouse early embryos. We characterize the transcriptional and regulatory network of eRNAs and show that different embryo developmental stages have distinct eRNA expression and regulatory profiles. Paternal eRNAs are activated asymmetrically during zygotic genome activation (ZGA). Moreover, we identify an eRNA, MZGAe1, which plays an important function in regulating mouse ZGA and early embryo development. MZGAe1 knockdown leads to a developmental block from 2-cell embryo to blastocyst. We create an online data portal, M2ED2, to query and visualize eRNA expression and regulation. Our study thus provides a systematic landscape of eRNA and reveals the important role of eRNAs in regulating mouse early embryo development.
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Affiliation(s)
- Hua Yu
- Westlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, China; School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang 330006, China; The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China; Institute of Life Sciences, Nanchang University, Nanchang 330031, China.
| | - Jing Zhao
- Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Yuxuan Shen
- Center of Stem Cell and Regenerative Medicine, Department of Basic Medical Sciences, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Lu Qiao
- Westlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Yuheng Liu
- HPC Center, Westlake University, Hangzhou 310024, China
| | - Guanglei Xie
- Westlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Shuhui Chang
- School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Tingying Ge
- School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Nan Li
- HPC Center, Westlake University, Hangzhou 310024, China
| | - Ming Chen
- College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55904, USA
| | - Jin Zhang
- Liangzhu Laboratory, Zhejiang University, Hangzhou 311121, China; Center of Stem Cell and Regenerative Medicine, Department of Basic Medical Sciences, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
| | - Xi Wang
- Westlake Genomics and Bioinformatics Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; School of Life Sciences, Westlake University, Hangzhou 310024, China; Westlake Institute for Advanced Study, Hangzhou 310024, China.
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14
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Yao Q, He T, Liao JY, Liao R, Wu X, Lin L, Xiao G. Noncoding RNAs in skeletal development and disorders. Biol Res 2024; 57:16. [PMID: 38644509 PMCID: PMC11034114 DOI: 10.1186/s40659-024-00497-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 04/09/2024] [Indexed: 04/23/2024] Open
Abstract
Protein-encoding genes only constitute less than 2% of total human genomic sequences, and 98% of genetic information was previously referred to as "junk DNA". Meanwhile, non-coding RNAs (ncRNAs) consist of approximately 60% of the transcriptional output of human cells. Thousands of ncRNAs have been identified in recent decades, and their essential roles in the regulation of gene expression in diverse cellular pathways associated with fundamental cell processes, including proliferation, differentiation, apoptosis, and metabolism, have been extensively investigated. Furthermore, the gene regulation networks they form modulate gene expression in normal development and under pathological conditions. In this review, we integrate current information about the classification, biogenesis, and function of ncRNAs and how these ncRNAs support skeletal development through their regulation of critical genes and signaling pathways in vivo. We also summarize the updated knowledge of ncRNAs involved in common skeletal diseases and disorders, including but not limited to osteoporosis, osteoarthritis, rheumatoid arthritis, scoliosis, and intervertebral disc degeneration, by highlighting their roles established from in vivo, in vitro, and ex vivo studies.
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Affiliation(s)
- Qing Yao
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Tailin He
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jian-You Liao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
- Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Rongdong Liao
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China
| | - Xiaohao Wu
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Lijun Lin
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
| | - Guozhi Xiao
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.
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15
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Han MH, Park J, Park M. Advances in the multimodal analysis of the 3D chromatin structure and gene regulation. Exp Mol Med 2024; 56:763-771. [PMID: 38658704 PMCID: PMC11059362 DOI: 10.1038/s12276-024-01246-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024] Open
Abstract
Recent studies have demonstrated that the three-dimensional conformation of the chromatin plays a crucial role in gene regulation, with aberrations potentially leading to various diseases. Advanced methodologies have revealed a link between the chromatin conformation and biological function. This review divides these methodologies into sequencing-based and imaging-based methodologies, tracing their development over time. We particularly highlight innovative techniques that facilitate the simultaneous mapping of RNAs, histone modifications, and proteins within the context of the 3D architecture of chromatin. This multimodal integration substantially improves our ability to establish a robust connection between the spatial arrangement of molecular components in the nucleus and their functional roles. Achieving a comprehensive understanding of gene regulation requires capturing diverse data modalities within individual cells, enabling the direct inference of functional relationships between these components. In this context, imaging-based technologies have emerged as an especially promising approach for gathering spatial information across multiple components in the same cell.
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Affiliation(s)
- Man-Hyuk Han
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jihyun Park
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Minhee Park
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- Graduate School of Engineering Biology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- KAIST Institute for BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- KAIST Stem Cell Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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16
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Wen X, Luo Z, Zhao W, Calandrelli R, Nguyen TC, Wan X, Charles Richard JL, Zhong S. Single-cell multiplex chromatin and RNA interactions in ageing human brain. Nature 2024; 628:648-656. [PMID: 38538789 PMCID: PMC11023937 DOI: 10.1038/s41586-024-07239-w] [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: 06/25/2023] [Accepted: 02/26/2024] [Indexed: 04/06/2024]
Abstract
Dynamically organized chromatin complexes often involve multiplex chromatin interactions and sometimes chromatin-associated RNA1-3. Chromatin complex compositions change during cellular differentiation and ageing, and are expected to be highly heterogeneous among terminally differentiated single cells4-7. Here we introduce the multinucleic acid interaction mapping in single cells (MUSIC) technique for concurrent profiling of multiplex chromatin interactions, gene expression and RNA-chromatin associations within individual nuclei. When applied to 14 human frontal cortex samples from older donors, MUSIC delineated diverse cortical cell types and states. We observed that nuclei exhibiting fewer short-range chromatin interactions were correlated with both an 'older' transcriptomic signature and Alzheimer's disease pathology. Furthermore, the cell type exhibiting chromatin contacts between cis expression quantitative trait loci and a promoter tends to be that in which these cis expression quantitative trait loci specifically affect the expression of their target gene. In addition, female cortical cells exhibit highly heterogeneous interactions between XIST non-coding RNA and chromosome X, along with diverse spatial organizations of the X chromosomes. MUSIC presents a potent tool for exploration of chromatin architecture and transcription at cellular resolution in complex tissues.
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Affiliation(s)
- Xingzhao Wen
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
| | - Zhifei Luo
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Department of Genetics, School of Medicine, Stanford, CA, USA
| | - Wenxin Zhao
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Riccardo Calandrelli
- Institute of Engineering in Medicine, University of California San Diego, La Jolla, CA, USA
| | - Tri C Nguyen
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Department of Genetics, School of Medicine, Stanford, CA, USA
| | - Xueyi Wan
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | | | - Sheng Zhong
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA.
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
- Institute of Engineering in Medicine, University of California San Diego, La Jolla, CA, USA.
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17
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Schmidt MR, Barcons-Simon A, Rabuffo C, Siegel T. Smoother: on-the-fly processing of interactome data using prefix sums. Nucleic Acids Res 2024; 52:e23. [PMID: 38281191 PMCID: PMC10954447 DOI: 10.1093/nar/gkae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/11/2023] [Accepted: 01/08/2024] [Indexed: 01/30/2024] Open
Abstract
Nucleic acid interactome data, such as chromosome conformation capture data and RNA-DNA interactome data, are currently analyzed via pipelines that must be rerun for each new parameter set. A more dynamic approach is desirable since the optimal parameter set is commonly unknown ahead of time and rerunning pipelines is a time-consuming process. We have developed an approach fast enough to process interactome data on-the-fly using a sparse prefix sum index. With this index, we created Smoother, a flexible, multifeatured visualization and analysis tool that allows interactive filtering, e.g. by mapping quality, almost instant comparisons between different normalization approaches, e.g. iterative correction, and ploidy correction. Further, Smoother can overlay other sequencing data or genomic annotations, compare different samples, and perform virtual 4C analysis. Smoother permits a novel way to interact with and explore interactome data, fostering comprehensive, high-quality data analysis. Smoother is available at https://github.com/Siegel-Lab/BioSmoother under the MIT license.
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Affiliation(s)
- Markus R Schmidt
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- Biomedical Center, Division of Physiological Chemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anna Barcons-Simon
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- Biomedical Center, Division of Physiological Chemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Claudia Rabuffo
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- Biomedical Center, Division of Physiological Chemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - T Nicolai Siegel
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- Biomedical Center, Division of Physiological Chemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
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18
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Wen X, Luo Z, Zhao W, Calandrelli R, Nguyen TC, Wan X, Richard JLC, Zhong S. Single-cell multiplex chromatin and RNA interactions in aging human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.28.546457. [PMID: 37425846 PMCID: PMC10326989 DOI: 10.1101/2023.06.28.546457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The dynamically organized chromatin complexes often involve multiplex chromatin interactions and sometimes chromatin-associated RNA (caRNA) 1-3. Chromatin complex compositions change during cellular differentiation and aging, and are expected to be highly heterogeneous among terminally differentiated single cells 4-7. Here we introduce the Multi-Nucleic Acid Interaction Mapping in Single Cell (MUSIC) technique for concurrent profiling of multiplex chromatin interactions, gene expression, and RNA-chromatin associations within individual nuclei. Applied to 14 human frontal cortex samples from elderly donors, MUSIC delineates diverse cortical cell types and states. We observed the nuclei exhibiting fewer short-range chromatin interactions are correlated with an "older" transcriptomic signature and with Alzheimer's pathology. Furthermore, the cell type exhibiting chromatin contacts between cis expression quantitative trait loci (cis eQTLs) and a promoter tends to be the cell type where these cis eQTLs specifically affect their target gene's expression. Additionally, the female cortical cells exhibit highly heterogeneous interactions between the XIST non-coding RNA and Chromosome X, along with diverse spatial organizations of the X chromosomes. MUSIC presents a potent tool for exploring chromatin architecture and transcription at cellular resolution in complex tissues.
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Affiliation(s)
- Xingzhao Wen
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA 92093, USA
| | - Zhifei Luo
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Wenxin Zhao
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Riccardo Calandrelli
- Institute of Engineering in Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Tri C. Nguyen
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Xueyi Wan
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | | | - Sheng Zhong
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA 92093, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Institute of Engineering in Medicine, University of California San Diego, La Jolla, CA 92093, USA
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19
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Wang Q, Zhang J, Liu Z, Duan Y, Li C. Integrative approaches based on genomic techniques in the functional studies on enhancers. Brief Bioinform 2023; 25:bbad442. [PMID: 38048082 PMCID: PMC10694556 DOI: 10.1093/bib/bbad442] [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: 08/28/2023] [Revised: 10/22/2023] [Accepted: 11/08/2023] [Indexed: 12/05/2023] Open
Abstract
With the development of sequencing technology and the dramatic drop in sequencing cost, the functions of noncoding genes are being characterized in a wide variety of fields (e.g. biomedicine). Enhancers are noncoding DNA elements with vital transcription regulation functions. Tens of thousands of enhancers have been identified in the human genome; however, the location, function, target genes and regulatory mechanisms of most enhancers have not been elucidated thus far. As high-throughput sequencing techniques have leapt forwards, omics approaches have been extensively employed in enhancer research. Multidimensional genomic data integration enables the full exploration of the data and provides novel perspectives for screening, identification and characterization of the function and regulatory mechanisms of unknown enhancers. However, multidimensional genomic data are still difficult to integrate genome wide due to complex varieties, massive amounts, high rarity, etc. To facilitate the appropriate methods for studying enhancers with high efficacy, we delineate the principles, data processing modes and progress of various omics approaches to study enhancers and summarize the applications of traditional machine learning and deep learning in multi-omics integration in the enhancer field. In addition, the challenges encountered during the integration of multiple omics data are addressed. Overall, this review provides a comprehensive foundation for enhancer analysis.
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Affiliation(s)
- Qilin Wang
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Junyou Zhang
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Zhaoshuo Liu
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Yingying Duan
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Chunyan Li
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing 100191, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
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20
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Zhou H, Hao X, Zhang P, He S. Noncoding RNA mutations in cancer. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1812. [PMID: 37544928 DOI: 10.1002/wrna.1812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
Cancer is driven by both germline and somatic genetic changes. Efforts have been devoted to characterizing essential genetic variations in cancer initiation and development. Most attention has been given to mutations in protein-coding genes and associated regulatory elements such as promoters and enhancers. The development of sequencing technologies and in silico and experimental methods has allowed further exploration of cancer predisposition variants and important somatic mutations in noncoding RNAs, mainly for long noncoding RNAs and microRNAs. Association studies including GWAS have revealed hereditary variations including SNPs and indels in lncRNA or miRNA genes and regulatory regions. These mutations altered RNA secondary structures, expression levels, and target recognition and then conferred cancer predisposition to carriers. Whole-exome/genome sequencing comparing cancer and normal tissues has revealed important somatic mutations in noncoding RNA genes. Mutation hotspots and somatic copy number alterations have been identified in various tumor-associated noncoding RNAs. Increasing focus and effort have been devoted to studying the noncoding region of the genome. The complex genetic network of cancer initiation is being unveiled. This article is categorized under: RNA in Disease and Development > RNA in Disease.
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Affiliation(s)
- Honghong Zhou
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xinpei Hao
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Peng Zhang
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Shunmin He
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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21
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Tao S, Hou Y, Diao L, Hu Y, Xu W, Xie S, Xiao Z. Long noncoding RNA study: Genome-wide approaches. Genes Dis 2023; 10:2491-2510. [PMID: 37554208 PMCID: PMC10404890 DOI: 10.1016/j.gendis.2022.10.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/09/2022] [Accepted: 10/23/2022] [Indexed: 11/30/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) have been confirmed to play a crucial role in various biological processes across several species. Though many efforts have been devoted to the expansion of the lncRNAs landscape, much about lncRNAs is still unknown due to their great complexity. The development of high-throughput technologies and the constantly improved bioinformatic methods have resulted in a rapid expansion of lncRNA research and relevant databases. In this review, we introduced genome-wide research of lncRNAs in three parts: (i) novel lncRNA identification by high-throughput sequencing and computational pipelines; (ii) functional characterization of lncRNAs by expression atlas profiling, genome-scale screening, and the research of cancer-related lncRNAs; (iii) mechanism research by large-scale experimental technologies and computational analysis. Besides, primary experimental methods and bioinformatic pipelines related to these three parts are summarized. This review aimed to provide a comprehensive and systemic overview of lncRNA genome-wide research strategies and indicate a genome-wide lncRNA research system.
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Affiliation(s)
- Shuang Tao
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Yarui Hou
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Liting Diao
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Yanxia Hu
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Wanyi Xu
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Shujuan Xie
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
- Institute of Vaccine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Zhendong Xiao
- The Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
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22
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Kuang S, Pollard KS. Exploring the Roles of RNAs in Chromatin Architecture Using Deep Learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.22.563498. [PMID: 37961712 PMCID: PMC10634726 DOI: 10.1101/2023.10.22.563498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Recent studies have highlighted the impact of both transcription and transcripts on 3D genome organization, particularly its dynamics. Here, we propose a deep learning framework, called AkitaR, that leverages both genome sequences and genome-wide RNA-DNA interactions to investigate the roles of chromatin-associated RNAs (caRNAs) on genome folding in HFFc6 cells. In order to disentangle the cis- and trans-regulatory roles of caRNAs, we compared models with nascent transcripts, trans-located caRNAs, open chromatin data, or DNA sequence alone. Both nascent transcripts and trans-located caRNAs improved the models' predictions, especially at cell-type-specific genomic regions. Analyses of feature importance scores revealed the contribution of caRNAs at TAD boundaries, chromatin loops and nuclear sub-structures such as nuclear speckles and nucleoli to the models' predictions. Furthermore, we identified non-coding RNAs (ncRNAs) known to regulate chromatin structures, such as MALAT1 and NEAT1, as well as several novel RNAs, RNY5, RPPH1, POLG-DT and THBS1-IT, that might modulate chromatin architecture through trans-interactions in HFFc6. Our modeling also suggests that transcripts from Alus and other repetitive elements may facilitate chromatin interactions through trans R-loop formation. Our findings provide new insights and generate testable hypotheses about the roles of caRNAs in shaping chromatin organization.
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Affiliation(s)
- Shuzhen Kuang
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA
| | - Katherine S. Pollard
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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23
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Calandrelli R, Wen X, Charles Richard JL, Luo Z, Nguyen TC, Chen CJ, Qi Z, Xue S, Chen W, Yan Z, Wu W, Zaleta-Rivera K, Hu R, Yu M, Wang Y, Li W, Ma J, Ren B, Zhong S. Genome-wide analysis of the interplay between chromatin-associated RNA and 3D genome organization in human cells. Nat Commun 2023; 14:6519. [PMID: 37845234 PMCID: PMC10579264 DOI: 10.1038/s41467-023-42274-7] [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: 05/17/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
The interphase genome is dynamically organized in the nucleus and decorated with chromatin-associated RNA (caRNA). It remains unclear whether the genome architecture modulates the spatial distribution of caRNA and vice versa. Here, we generate a resource of genome-wide RNA-DNA and DNA-DNA contact maps in human cells. These maps reveal the chromosomal domains demarcated by locally transcribed RNA, hereafter termed RNA-defined chromosomal domains. Further, the spreading of caRNA is constrained by the boundaries of topologically associating domains (TADs), demonstrating the role of the 3D genome structure in modulating the spatial distribution of RNA. Conversely, stopping transcription or acute depletion of RNA induces thousands of chromatin loops genome-wide. Activation or suppression of the transcription of specific genes suppresses or creates chromatin loops straddling these genes. Deletion of a specific caRNA-producing genomic sequence promotes chromatin loops that straddle the interchromosomal target sequences of this caRNA. These data suggest a feedback loop where the 3D genome modulates the spatial distribution of RNA, which in turn affects the dynamic 3D genome organization.
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Affiliation(s)
- Riccardo Calandrelli
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Xingzhao Wen
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | | | - Zhifei Luo
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Tri C Nguyen
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Chien-Ju Chen
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Zhijie Qi
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Shuanghong Xue
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Weizhong Chen
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Zhangming Yan
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Weixin Wu
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Kathia Zaleta-Rivera
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Rong Hu
- Department of Cellular and Molecular Medicine, Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Miao Yu
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Yuchuan Wang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Wenbo Li
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Jian Ma
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Bing Ren
- Department of Cellular and Molecular Medicine, Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
| | - Sheng Zhong
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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24
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Limouse C, Smith OK, Jukam D, Fryer KA, Greenleaf WJ, Straight AF. Global mapping of RNA-chromatin contacts reveals a proximity-dominated connectivity model for ncRNA-gene interactions. Nat Commun 2023; 14:6073. [PMID: 37770513 PMCID: PMC10539311 DOI: 10.1038/s41467-023-41848-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/19/2023] [Indexed: 09/30/2023] Open
Abstract
Non-coding RNAs (ncRNAs) are transcribed throughout the genome and provide regulatory inputs to gene expression through their interaction with chromatin. Yet, the genomic targets and functions of most ncRNAs are unknown. Here we use chromatin-associated RNA sequencing (ChAR-seq) to map the global network of ncRNA interactions with chromatin in human embryonic stem cells and the dynamic changes in interactions during differentiation into definitive endoderm. We uncover general principles governing the organization of the RNA-chromatin interactome, demonstrating that nearly all ncRNAs exclusively interact with genes in close three-dimensional proximity to their locus and provide a model predicting the interactome. We uncover RNAs that interact with many loci across the genome and unveil thousands of unannotated RNAs that dynamically interact with chromatin. By relating the dynamics of the interactome to changes in gene expression, we demonstrate that activation or repression of individual genes is unlikely to be controlled by a single ncRNA.
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Affiliation(s)
- Charles Limouse
- Department of Biochemistry, Stanford University, Stanford, California, USA
| | - Owen K Smith
- Department of Chemical and Systems Biology, Stanford University, Stanford, California, USA
| | - David Jukam
- Department of Biochemistry, Stanford University, Stanford, California, USA
| | - Kelsey A Fryer
- Department of Biochemistry, Stanford University, Stanford, California, USA
- Department of Genetics, Stanford University, Stanford, California, USA
| | | | - Aaron F Straight
- Department of Biochemistry, Stanford University, Stanford, California, USA.
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25
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Brener A, Lorber D, Reuveny A, Toledano H, Porat-Kuperstein L, Lebenthal Y, Weizman E, Olender T, Volk T. Sedentary Behavior Impacts on the Epigenome and Transcriptome: Lessons from Muscle Inactivation in Drosophila Larvae. Cells 2023; 12:2333. [PMID: 37830547 PMCID: PMC10571804 DOI: 10.3390/cells12192333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/14/2023] Open
Abstract
The biological mechanisms linking sedentary lifestyles and metabolic derangements are incompletely understood. In this study, temporal muscle inactivation in Drosophila larvae carrying a temperature-sensitive mutation in the shibire (shi1) gene was induced to mimic sedentary behavior during early life and study its transcriptional outcome. Our findings indicated a significant change in the epigenetic profile, as well as the genomic profile, of RNA Pol II binding in the inactive muscles relative to control, within a relatively short time period. Whole-genome analysis of RNA-Pol II binding to DNA by muscle-specific targeted DamID (TaDa) protocol revealed that muscle inactivity altered Pol II binding in 121 out of 2010 genes (6%), with a three-fold enrichment of genes coding for lncRNAs. The suppressed protein-coding genes included genes associated with longevity, DNA repair, muscle function, and ubiquitin-dependent proteostasis. Moreover, inducing muscle inactivation exerted a multi-level impact upon chromatin modifications, triggering an altered epigenetic balance of active versus inactive marks. The downregulated genes in the inactive muscles included genes essential for muscle structure and function, carbohydrate metabolism, longevity, and others. Given the multiple analogous genes in Drosophila for many human genes, extrapolating our findings to humans may hold promise for establishing a molecular link between sedentary behavior and metabolic diseases.
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Affiliation(s)
- Avivit Brener
- Pediatric Endocrinology and Diabetes Institute, Dana-Dwek Children’s Hospital, Tel Aviv Sourasky Medical Center, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (A.B.); (Y.L.)
| | - Dana Lorber
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel; (D.L.); (A.R.); (T.O.)
| | - Adriana Reuveny
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel; (D.L.); (A.R.); (T.O.)
| | - Hila Toledano
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel; (H.T.); (L.P.-K.)
| | - Lilach Porat-Kuperstein
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel; (H.T.); (L.P.-K.)
| | - Yael Lebenthal
- Pediatric Endocrinology and Diabetes Institute, Dana-Dwek Children’s Hospital, Tel Aviv Sourasky Medical Center, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; (A.B.); (Y.L.)
| | - Eviatar Weizman
- G-INCPM, Weizmann Institute of Science, Rehovot 7610001, Israel;
| | - Tsviya Olender
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel; (D.L.); (A.R.); (T.O.)
| | - Talila Volk
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel; (D.L.); (A.R.); (T.O.)
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26
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García-Caballero D, Hart JR, Vogt PK. Long Non-Coding RNAs as "MYC Facilitators". PATHOPHYSIOLOGY 2023; 30:389-399. [PMID: 37755396 PMCID: PMC10534484 DOI: 10.3390/pathophysiology30030030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 09/28/2023] Open
Abstract
In this article, we discuss a class of MYC-interacting lncRNAs (long non-coding RNAs) that share the following criteria: They are direct transcriptional targets of MYC. Their expression is coordinated with the expression of MYC. They are required for sustained MYC-driven cell proliferation, and they are not essential for cell survival. We refer to these lncRNAs as "MYC facilitators" and discuss two representative members of this class of lncRNAs, SNHG17 (small nuclear RNA host gene) and LNROP (long non-coding regulator of POU2F2). We also present a general hypothesis on the role of lncRNAs in MYC-mediated transcriptional regulation.
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Affiliation(s)
| | | | - Peter K. Vogt
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
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27
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Yin Y, Shen X. Noncoding RNA-chromatin association: Functions and mechanisms. FUNDAMENTAL RESEARCH 2023; 3:665-675. [PMID: 38933302 PMCID: PMC11197541 DOI: 10.1016/j.fmre.2023.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/12/2023] [Accepted: 03/23/2023] [Indexed: 06/28/2024] Open
Abstract
Pervasive transcription of the mammalian genome produces hundreds of thousands of noncoding RNAs (ncRNAs). Numerous studies have suggested that some of these ncRNAs regulate multiple cellular processes and play important roles in physiological and pathological processes. Notably, a large subset of ncRNAs is enriched on chromatin and participates in regulating gene expression and the dynamics of chromatin structure and status. In this review, we summarize recent advances in the functional study of chromatin-associated ncRNAs and mechanistic insights into how these ncRNAs associate with chromatin. We also discuss the potential future challenges which still need to be overcome in this field.
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Affiliation(s)
- Yafei Yin
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Yuhangtang Road, Hangzhou, Zhejiang 310058, China
| | - Xiaohua Shen
- Tsinghua-Peking Center for Life Sciences, School of Medicine and School of Life Sciences, Tsinghua University, Beijing 100084, China
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28
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Ding T, Zhang J, Xu H, Zhang X, Yang F, Shi Y, Bai Y, Yang J, Chen C, Zhang H. In-depth understanding of higher-order genome architecture in orphan cancer. Biochim Biophys Acta Rev Cancer 2023; 1878:188948. [PMID: 37394019 DOI: 10.1016/j.bbcan.2023.188948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/04/2023]
Abstract
The human genome is intertwined, folded, condensed, and gradually constitutes the 3D architecture, thereby affecting transcription and widely involving in tumorigenesis. Incidence and mortality rates for orphan cancers increase due to poor early diagnosis and lack of effective medical treatments, which are now getting attention. In-depth understanding in tumorigenesis has fast-tracked over the last decade, however, the further role and mechanism of 3D genome organization in variant orphan tumorigenesis remains to be fully understood. We summarize for the first time that higher-order genome organization can provide novel insights into the occurrence mechanisms of orphan cancers, and discuss probable future research directions for drug development and anti-tumor therapies.
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Affiliation(s)
- Tianyi Ding
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Jixing Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Haowen Xu
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Xiaoyu Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Fan Yang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Yibing Shi
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Yiran Bai
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Jiaqi Yang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - Chaoqun Chen
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China
| | - He Zhang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China; Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, Jiangxi province, PR China; School of Life Science, Jinggangshan University, Ji'an, Jiangxi province, PR China.
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29
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Hou W, Zong M, Zhao Q, Yang X, Zhang J, Liu S, Li X, Chen L, Tang C, Wang X, Dong Z, Gao M, Su J, Kong Q. Network characterization linc1393 in the maintenance of pluripotency provides the principles for lncRNA targets prediction. iScience 2023; 26:107469. [PMID: 37588167 PMCID: PMC10425947 DOI: 10.1016/j.isci.2023.107469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 06/07/2023] [Accepted: 07/21/2023] [Indexed: 08/18/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) have been implicated in diverse biological processes. However, the functional mechanisms have not yet been fully explored. Characterizing the interactions of lncRNAs with chromatin is central to determining their functions but, due to precise and efficient approaches lacking, our understanding of their functional mechanisms has progressed slowly. In this study, we demonstrate that a nuclear lncRNA linc1393 maintains mouse ESC pluripotency by recruiting SET1A near its binding sites, to establish H3K4me3 status and activate the expression of specific pluripotency-related genes. Moreover, we characterized the principles of lncRNA-chromatin interaction and transcriptional regulation. Accordingly, we developed a computational framework based on the XGBoost model, LncTargeter, to predict the targets of a given lncRNA, and validated its reliability in various cellular contexts. Together, these findings elucidate the roles and mechanisms of lncRNA on pluripotency maintenance, and provide a promising tool for predicting the regulatory networks of lncRNAs.
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Affiliation(s)
- Weibo Hou
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ming Zong
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
- College of Life Science, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Qi Zhao
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xu Yang
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jiaming Zhang
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shuanghui Liu
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xuanwen Li
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Lijun Chen
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Chun Tang
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xinyu Wang
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhixiong Dong
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Meiling Gao
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jianzhong Su
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou Medical University, Wenzhou, Zhejiang, China
- School of Optometry and Ophthalmology and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qingran Kong
- Oujiang Laboratory, Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
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30
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Tenorio M, Serwatowska J, Fernandez-Valverde SL, Oktaba K, Cortez D. Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification. BMC Genomics 2023; 24:444. [PMID: 37550606 PMCID: PMC10405410 DOI: 10.1186/s12864-023-09545-5] [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: 03/30/2023] [Accepted: 07/29/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Long non-coding RNAs (lncRNAs) are defined as transcribed molecules longer than 200 nucleotides with little to no protein-coding potential. LncRNAs can regulate gene expression of nearby genes (cis-acting) or genes located on other chromosomes (trans-acting). Several methodologies have been developed to capture lncRNAs associated with chromatin at a genome-wide level. Analysis of RNA-DNA contacts can be combined with epigenetic and RNA-seq data to define potential lncRNAs involved in the regulation of gene expression. RESULTS We performed Chromatin Associated RNA sequencing (ChAR-seq) in Anolis carolinensis to obtain the genome-wide map of the associations that RNA molecules have with chromatin. We analyzed the frequency of DNA contacts for different classes of RNAs and were able to define cis- and trans-acting lncRNAs. We integrated the ChAR-seq map of RNA-DNA contacts with epigenetic data for the acetylation of lysine 16 on histone H4 (H4K16ac), a mark connected to actively transcribed chromatin in lizards. We successfully identified three trans-acting lncRNAs significantly associated with the H4K16ac signal, which are likely involved in the regulation of gene expression in A. carolinensis. CONCLUSIONS We show that the ChAR-seq method is a powerful tool to explore the RNA-DNA map of interactions. Moreover, in combination with epigenetic data, ChAR-seq can be applied in non-model species to establish potential roles for predicted lncRNAs that lack functional annotations.
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Affiliation(s)
- Mariela Tenorio
- Center for Genome Sciences, National Autonomous University of Mexico (UNAM), Cuernavaca, Mexico
| | | | - Selene L Fernandez-Valverde
- Center for Research and Advanced Studies (Cinvestav), Irapuato, Mexico
- School of Biotechnology and Biomolecular Sciences and the RNA Institute, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Katarzyna Oktaba
- Center for Research and Advanced Studies (Cinvestav), Irapuato, Mexico
| | - Diego Cortez
- Center for Genome Sciences, National Autonomous University of Mexico (UNAM), Cuernavaca, Mexico.
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31
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Wang M, Chen Q, Wang S, Xie H, Liu J, Huang R, Xiang Y, Jiang Y, Tian D, Bian E. Super-enhancers complexes zoom in transcription in cancer. J Exp Clin Cancer Res 2023; 42:183. [PMID: 37501079 PMCID: PMC10375641 DOI: 10.1186/s13046-023-02763-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/13/2023] [Indexed: 07/29/2023] Open
Abstract
Super-enhancers (SEs) consist of multiple typical enhancers enriched at high density with transcription factors, histone-modifying enzymes and cofactors. Oncogenic SEs promote tumorigenesis and malignancy by altering protein-coding gene expression and noncoding regulatory element function. Therefore, they play central roles in the treatment of cancer. Here, we review the structural characteristics, organization, identification, and functions of SEs and the underlying molecular mechanism by which SEs drive oncogenic transcription in tumor cells. We then summarize abnormal SE complexes, SE-driven coding genes, and noncoding RNAs involved in tumor development. In summary, we believe that SEs show great potential as biomarkers and therapeutic targets.
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Affiliation(s)
- MengTing Wang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
- School of Pharmacy, Anhui Medical University, Hefei, 230032, China
| | - QingYang Chen
- Department of Clinical MedicineThe Second School of Clinical Medical, Anhui Medical University, Hefei, China
| | - ShuJie Wang
- Department of Clinical MedicineThe Second School of Clinical Medical, Anhui Medical University, Hefei, China
| | - Han Xie
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Jun Liu
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - RuiXiang Huang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - YuFei Xiang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - YanYi Jiang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, China.
| | - DaSheng Tian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
| | - ErBao Bian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
- School of Pharmacy, Anhui Medical University, Hefei, 230032, China.
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Liang Z, Gilbreath C, Liu W, Wang Y, Zhang MQ, Zhang DE, Wu S, Fu XD. Chromatin-associated RNA Dictates the ecDNA Interactome in the Nucleus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.27.550855. [PMID: 37547001 PMCID: PMC10402128 DOI: 10.1101/2023.07.27.550855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Extrachromosomal DNA (ecDNA) promotes cancer by driving copy number heterogeneity and amplifying oncogenes along with functional enhancers. More recent studies suggest two additional mechanisms for further enhancing their oncogenic potential, one via forming ecDNA hubs to augment oncogene expression 1 and the other through acting as portable enhancers to trans-activate target genes 2. However, it has remained entirely elusive about how ecDNA explores the three-dimensional space of the nucleus and whether different ecDNA have distinct interacting mechanisms. Here, by profiling the DNA-DNA and DNA-RNA interactomes in tumor cells harboring different types of ecDNAs in comparison with similarly amplified homogenously staining regions (HSRs) in the chromosome, we show that specific ecDNA interactome is dictated by ecDNA-borne nascent RNA. We demonstrate that the ecDNA co-amplifying PVT1 and MYC utilize nascent noncoding PVT1 transcripts to mediate specific trans-activation of both ecDNA and chromosomal genes. In contrast, the ecDNA amplifying EGFR is weak in this property because of more efficient splicing to remove chromatin-associated nascent RNA. These findings reveal a noncoding RNA-orchestrated program hijacked by cancer cells to enhance the functional impact of amplified oncogenes and associated regulatory elements.
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Affiliation(s)
- Zhengyu Liang
- Department of System Biology, School of Life Science, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Collin Gilbreath
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Wenyue Liu
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yan Wang
- Samara Inc., San Francisco, CA, USA
| | - Michael Q. Zhang
- Department of Biological Sciences, Center for Systems Biology, University of Texas, Dallas, TX 75080, USA
| | - Dong-Er Zhang
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sihan Wu
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Xiang-Dong Fu
- Department Westlake Laboratory of Life Sciences and Biomedicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Lead contact
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Tabe-Bordbar S, Sinha S. Integrative modeling of lncRNA-chromatin interaction maps reveals diverse mechanisms of nuclear retention. BMC Genomics 2023; 24:395. [PMID: 37442953 DOI: 10.1186/s12864-023-09498-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Many long non-coding RNAs, known to be involved in transcriptional regulation, are enriched in the nucleus and interact with chromatin. However, their mechanisms of chromatin interaction and the served cellular functions are poorly understood. We sought to characterize the mechanisms of lncRNA nuclear retention by systematically mapping the sequence and chromatin features that distinguish lncRNA-interacting genomic segments. RESULTS We found DNA 5-mer frequencies to be predictive of chromatin interactions for all lncRNAs, suggesting sequence-specificity as a global theme in the interactome. Sequence features representing protein-DNA and protein-RNA binding motifs revealed potential mechanisms for specific lncRNAs. Complementary to these global themes, transcription-related features and DNA-RNA triplex formation potential were noted to be highly predictive for two mutually exclusive sets of lncRNAs. DNA methylation was also noted to be a significant predictor, but only when combined with other epigenomic features. CONCLUSIONS Taken together, our statistical findings suggest that a group of lncRNAs interacts with transcriptionally inactive chromatin through triplex formation, whereas another group interacts with transcriptionally active regions and is involved in DNA Damage Response (DDR) through formation of R-loops. Curiously, we observed a strong pattern of enrichment of 5-mers in four potentially interacting entities: lncRNA-bound DNA tiles, lncRNAs, miRNA seed sequences, and repeat elements. This finding points to a broad sequence-based network of interactions that may underlie regulation of fundamental cellular functions. Overall, this study reveals diverse sequence and chromatin features related to lncRNA-chromatin interactions, suggesting potential mechanisms of nuclear retention and regulatory function.
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Affiliation(s)
- Shayan Tabe-Bordbar
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Saurabh Sinha
- Department of Biomedical Engineering, Georgia Institute of Technology, UAW 3108, 313 Ferst Drive NW, Atlanta, GA, 30332, USA.
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Liang L, Cao C, Ji L, Cai Z, Wang D, Ye R, Chen J, Yu X, Zhou J, Bai Z, Wang R, Yang X, Zhu P, Xue Y. Complementary Alu sequences mediate enhancer-promoter selectivity. Nature 2023:10.1038/s41586-023-06323-x. [PMID: 37438529 DOI: 10.1038/s41586-023-06323-x] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/14/2023] [Indexed: 07/14/2023]
Abstract
Enhancers determine spatiotemporal gene expression programs by engaging with long-range promoters1-4. However, it remains unknown how enhancers find their cognate promoters. We recently developed a RNA in situ conformation sequencing technology to identify enhancer-promoter connectivity using pairwise interacting enhancer RNAs and promoter-derived noncoding RNAs5,6. Here we apply this technology to generate high-confidence enhancer-promoter RNA interaction maps in six additional cell lines. Using these maps, we discover that 37.9% of the enhancer-promoter RNA interaction sites are overlapped with Alu sequences. These pairwise interacting Alu and non-Alu RNA sequences tend to be complementary and potentially form duplexes. Knockout of Alu elements compromises enhancer-promoter looping, whereas Alu insertion or CRISPR-dCasRx-mediated Alu tethering to unregulated promoter RNAs can create new loops to homologous enhancers. Mapping 535,404 noncoding risk variants back to the enhancer-promoter RNA interaction maps enabled us to construct variant-to-function maps for interpreting their molecular functions, including 15,318 deletions or insertions in 11,677 Alu elements that affect 6,497 protein-coding genes. We further demonstrate that polymorphic Alu insertion at the PTK2 enhancer can promote tumorigenesis. Our study uncovers a principle for determining enhancer-promoter pairing specificity and provides a framework to link noncoding risk variants to their molecular functions.
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Affiliation(s)
- Liang Liang
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Changchang Cao
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Lei Ji
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Zhaokui Cai
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Di Wang
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Rong Ye
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Juan Chen
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xiaohua Yu
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Jie Zhou
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhibo Bai
- School of Life Sciences, Henan Normal University, Xinxiang, China
| | - Ruoyan Wang
- School of Life Sciences, Henan Normal University, Xinxiang, China
| | - Xianguang Yang
- School of Life Sciences, Henan Normal University, Xinxiang, China
| | - Ping Zhu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuanchao Xue
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
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35
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Segal D, Dostie J. The Talented LncRNAs: Meshing into Transcriptional Regulatory Networks in Cancer. Cancers (Basel) 2023; 15:3433. [PMID: 37444543 DOI: 10.3390/cancers15133433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/22/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
As a group of diseases characterized by uncontrollable cell growth, cancer is highly multifaceted in how it overrides checkpoints controlling proliferation. Amongst the regulators of these checkpoints, long non-coding RNAs (lncRNAs) can have key roles in why natural biological processes go haywire. LncRNAs represent a large class of regulatory transcripts that can localize anywhere in cells. They were found to affect gene expression on many levels from transcription to mRNA translation and even protein stability. LncRNA participation in such control mechanisms can depend on cell context, with given transcripts sometimes acting as oncogenes or tumor suppressors. Importantly, the tissue-specificity and low expression levels of lncRNAs make them attractive therapeutic targets or biomarkers. Here, we review the various cellular processes affected by lncRNAs and outline molecular strategies they use to control gene expression, particularly in cancer and in relation to transcription factors.
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Affiliation(s)
- Dana Segal
- Department of Biochemistry, McGill University, Montréal, QC H3G 1Y6, Canada
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC H3A 1A3, Canada
| | - Josée Dostie
- Department of Biochemistry, McGill University, Montréal, QC H3G 1Y6, Canada
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC H3A 1A3, Canada
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36
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Long T, Hernandez JE, Ma S, Steele S, Luo C, Li Y, Xie Q, Telese F, Zhou B, Huang WJM. The long non-coding RNA MALAT1 regulates intestine host-microbe interactions and polyposis. Front Cell Dev Biol 2023; 11:1168693. [PMID: 37325561 PMCID: PMC10265687 DOI: 10.3389/fcell.2023.1168693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/26/2023] [Indexed: 06/17/2023] Open
Abstract
The long non-coding RNA (lncRNA) Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) maintains the integrity of the intestinal epithelial barrier and regulates local inflammation. However, its influences on intestinal microbial communities and tissue susceptibility to cancer development remain unexplored. Here, we report that MALAT1 regulates host anti-microbial response gene expression and the composition of mucosal-associated microbial communities in a region-specific manner. In the APC mutant mouse model of intestine tumorigenesis, knocking out MALAT1 results in higher polyp counts in the small intestine and colon. Interestingly, intestine polyps that developed in the absence of MALAT1 were smaller in size. These findings highlight the unexpected bivalent role of MALAT1 in restricting and promoting cancer progression at different disease stages. Among the 30 MALAT1-targets shared by both the small intestine and colon, ZNF638 and SENP8 levels are predictive of colon adenoma patient overall survival and disease-free survival. Genomic assays further revealed that MALAT1 modulates intestinal target expression and splicing through both direct and indirect mechanisms. This study expands the role of lncRNAs in regulating intestine homeostasis, microbial communities, and cancer pathogenesis.
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Affiliation(s)
- Tianyun Long
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Juan E. Hernandez
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Shengyun Ma
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Scarlet Steele
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Claire Luo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Yuxin Li
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Qinghong Xie
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
| | - Francesca Telese
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Bing Zhou
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Wendy Jia Men Huang
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, United States
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37
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Cicconetti C, Lauria A, Proserpio V, Masera M, Tamburrini A, Maldotti M, Oliviero S, Molineris I. 3plex enables deep computational investigation of triplex forming lncRNAs. Comput Struct Biotechnol J 2023; 21:3091-3102. [PMID: 37273849 PMCID: PMC10236371 DOI: 10.1016/j.csbj.2023.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 06/06/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) regulate gene expression through different molecular mechanisms, including DNA binding via the formation of RNA:DNA:DNA triple helices (TPXs). Despite the increasing amount of experimental evidence, TPXs investigation remains challenging. Here we present 3plex, a software able to predict TPX interactions in silico. Given an RNA sequence and a set of DNA sequences, 3plex integrates 1) Hoogsteen pairing rules that describe the biochemical interactions between RNA and DNA nucleotides, 2) RNA secondary structure prediction and 3) determination of the TPX thermal stability derived from a collection of TPX experimental evidences. We systematically collected and uniformly re-analysed published experimental lncRNA binding sites on human and mouse genomes. We used these data to evaluate 3plex performance and showed that its specific features allow a reliable identification of TPX interactions. We compared 3plex with the other available software and obtained comparable or even better accuracy at a fraction of the computation time. Interestingly, by inspecting collected data with 3plex we found that TPXs tend to be shorter and more degenerated than previously expected and that the majority of analysed lncRNAs can directly bind to the genome by TPX formation. Those results suggest that an important fraction of lncRNAs can exert its biological function through this mechanism. The software is available at https://github.com/molinerisLab/3plex.
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Affiliation(s)
- Chiara Cicconetti
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Andrea Lauria
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Valentina Proserpio
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Marco Masera
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
| | - Annalaura Tamburrini
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Mara Maldotti
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Salvatore Oliviero
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
| | - Ivan Molineris
- Dipartimento di Scienze della Vita e Biologia dei Sistemi and MBC, Università di Torino, Via Nizza 52, 10126 Torino, Italy
- Italian Institute for Genomic Medicine (IIGM), Sp142 Km 3.95, Candiolo 10060 (Torino), Italy
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38
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Gavrilov AA, Evko GS, Galitsyna AA, Ulianov SV, Kochetkova TV, Merkel AY, Tyakht AV, Razin SV. RNA-DNA interactomes of three prokaryotes uncovered by proximity ligation. Commun Biol 2023; 6:473. [PMID: 37120653 PMCID: PMC10148824 DOI: 10.1038/s42003-023-04853-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/19/2023] [Indexed: 05/01/2023] Open
Abstract
Proximity ligation approaches, which are widely used to study the spatial organization of the genome, also make it possible to reveal patterns of RNA-DNA interactions. Here, we use RedC, an RNA-DNA proximity ligation approach, to assess the distribution of major RNA types along the genomes of E. coli, B. subtilis, and thermophilic archaeon T. adornatum. We find that (i) messenger RNAs preferentially interact with their cognate genes and the genes located downstream in the same operon, which is consistent with polycistronic transcription; (ii) ribosomal RNAs preferentially interact with active protein-coding genes in both bacteria and archaea, indicating co-transcriptional translation; and (iii) 6S noncoding RNA, a negative regulator of bacterial transcription, is depleted from active genes in E. coli and B. subtilis. We conclude that the RedC data provide a rich resource for studying both transcription dynamics and the function of noncoding RNAs in microbial organisms.
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Affiliation(s)
- Alexey A Gavrilov
- Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia
| | - Grigory S Evko
- Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia
| | | | - Sergey V Ulianov
- Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, 119991, Moscow, Russia
| | - Tatiana V Kochetkova
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology, Russian Academy of Sciences, 117312, Moscow, Russia
| | - Alexander Y Merkel
- Winogradsky Institute of Microbiology, Federal Research Center of Biotechnology, Russian Academy of Sciences, 117312, Moscow, Russia
| | - Alexander V Tyakht
- Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia
| | - Sergey V Razin
- Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia.
- Faculty of Biology, Lomonosov Moscow State University, 119991, Moscow, Russia.
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Ryabykh GK, Kuznetsov SV, Korostelev YD, Sigorskikh AI, Zharikova AA, Mironov AA. RNA-Chrom: a manually curated analytical database of RNA-chromatin interactome. Database (Oxford) 2023; 2023:baad025. [PMID: 37221043 PMCID: PMC10205464 DOI: 10.1093/database/baad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/12/2023] [Accepted: 04/01/2023] [Indexed: 05/25/2023]
Abstract
Every year there is more and more evidence that non-coding RNAs play an important role in biological processes affecting various levels of organization of living systems: from the cellular (regulation of gene expression, remodeling and maintenance of chromatin structure, co-transcriptional suppression of transposons, splicing, post-transcriptional RNA modifications, etc.) to cell populations and even organismal ones (development, aging, cancer, cardiovascular and many other diseases). The development and creation of mutually complementary databases that will aggregate, unify and structure different types of data can help to reach the system level of studying non-coding RNAs. Here we present the RNA-Chrom manually curated analytical database, which contains the coordinates of billions of contacts of thousands of human and mouse RNAs with chromatin. Through the user-friendly web interface (https://rnachrom2.bioinf.fbb.msu.ru/), two approaches to the analysis of the RNA-chromatin interactome were implemented. Firstly, to find out whether the RNA of interest to a user contacts with chromatin, and if so, with which genes or DNA loci? Secondly, to find out which RNAs are in contact with the DNA locus of interest to a user (and probably participate in its regulation), and if there are such, what is the nature of their interaction? For a more detailed study of contact maps and their comparison with other data, the web interface allows a user to view them in the UCSC Genome Browser. Database URL https://genome.ucsc.edu/.
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Affiliation(s)
- G K Ryabykh
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
| | - S V Kuznetsov
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
| | - Y D Korostelev
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
| | - A I Sigorskikh
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
| | - A A Zharikova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
- National Medical Research Center for Therapy and Preventive Medicine, Petroverigsky per., Moscow, 101000, Russia
| | - A A Mironov
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskiye Gory, Moscow 119234, Russia
- Kharkevich Institute for Information Transmission Problems RAS, Bolshoy Karetny per., Moscow 127051, Russia
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40
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Li M, Liu Q, Xie S, Fu C, Li J, Tian C, Li X, Li C. LncRNA TCONS_00323213 Promotes Myogenic Differentiation by Interacting with PKNOX2 to Upregulate MyoG in Porcine Satellite Cells. Int J Mol Sci 2023; 24:ijms24076773. [PMID: 37047747 PMCID: PMC10094759 DOI: 10.3390/ijms24076773] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/29/2023] [Accepted: 03/31/2023] [Indexed: 04/14/2023] Open
Abstract
Myogenic differentiation is a complex biological process that is regulated by multiple factors, among which long noncoding RNAs (lncRNAs) play an essential role. However, in-depth studies on the regulatory mechanisms of long noncoding RNAs (lncRNAs) in myogenic differentiation are limited. In this study, we characterized the role of the novel lncRNA TCONS_00323213, which is upregulated during porcine skeletal muscle satellite cell (PSC) differentiation in myogenesis. We found that TCONS_00323213 affected the proliferation and differentiation of PSC in vitro. We performed quantitative polymerase chain reaction (qPCR), 5-ethynyl-20-deoxyuridine (EdU), western blotting, immunofluorescence staining, pull-down assays, and cleavage under targets and tagmentation (CUT and Tag) assays to clarify the effects and action mechanisms of TCONS_00323213. LncRNA TCONS_00323213 inhibited myoblast proliferation based on analyses of cell survival rates during PSC proliferation. Functional analyses revealed that TCONS_00323213 promotes cell differentiation and enhances myogenin (MyoG), myosin heavy chain (MyHC), and myocyte enhancer factor 2 (MEF2C) during myoblast differentiation. As determined by pull-down and RNA immunoprecipitation (RIP) assays, the lncRNA TCONS_00323213 interacted with PBX/Knotted Homeobox 2 (PKNOX2). CUT and Tag assays showed that PKNOX2 was significantly enriched on the MyoG promoter after lncRNA TCONS_00323213 knockdown. Our findings demonstrate that the interaction between lncRNA TCONS_00323213 and PKNOX2 relieves the inhibitory effect of PKNOX2 on the MyoG promoter, increases its expression, and promotes PSC differentiation. This novel role of lncRNA TCONS_00323213 sheds light on the molecular mechanisms by which lncRNAs regulate porcine myogenesis.
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Affiliation(s)
- Mengxun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Quan Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Su Xie
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Chong Fu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Jiaxuan Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Cheng Tian
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
| | - Changchun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of the Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070, China
- The Cooperative Innovation Center for Sustainable Pig Production of Hubei Province, Huazhong Agricultural University, Wuhan 430070, China
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41
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Blower MD, Wang W, Sharp JA. Differential nuclear import regulates nuclear RNA inheritance following mitosis. Mol Biol Cell 2023; 34:ar32. [PMID: 36790906 PMCID: PMC10092649 DOI: 10.1091/mbc.e23-01-0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
Mitosis results in a dramatic reorganization of chromatin structure to promote chromosome compaction and segregation to daughter cells. Consequently, mitotic entry is accompanied by transcriptional silencing and removal of most chromatin-bound RNA from chromosomes. As cells exit mitosis, chromatin rapidly decondenses and transcription restarts as waves of differential gene expression. However, little is known about the fate of chromatin-bound RNAs following cell division. Here we explored whether nuclear RNA from the previous cell cycle is present in G1 nuclei following mitosis. We found that half of all nuclear RNA is inherited in a transcription-independent manner following mitosis. Interestingly, the snRNA U2 is efficiently inherited by G1 nuclei, while the lncRNAs NEAT1 and MALAT1 show no inheritance following mitosis. We found that the nuclear protein SAF-A, which is hypothesized to tether RNA to DNA, did not play a prominent role in nuclear RNA inheritance, indicating that the mechanism for RNA inheritance may not involve RNA chaperones that have chromatin-binding activity. Instead, we observe that the timing of RNA inheritance indicates that a select group of nuclear RNAs are reimported into the nucleus after the nuclear envelope has reassembled. Our work demonstrates that there is a fraction of nuclear RNA from the previous cell cycle that is reimported following mitosis and suggests that mitosis may serve as a time to reset the interaction of lncRNAs with chromatin.
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Affiliation(s)
- Michael D Blower
- Department of Biochemistry, Boston University Chobanian and Avedisian School of Medicine., Boston, MA 02118
| | - Wei Wang
- Department of Biochemistry, Boston University Chobanian and Avedisian School of Medicine., Boston, MA 02118
| | - Judith A Sharp
- Department of Biochemistry, Boston University Chobanian and Avedisian School of Medicine., Boston, MA 02118
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42
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Tao X, Li S, Chen G, Wang J, Xu S. Approaches for Modes of Action Study of Long Non-Coding RNAs: From Single Verification to Genome-Wide Determination. Int J Mol Sci 2023; 24:ijms24065562. [PMID: 36982636 PMCID: PMC10054671 DOI: 10.3390/ijms24065562] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/08/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides (nt) that are not translated into known functional proteins. This broad definition covers a large collection of transcripts with diverse genomic origins, biogenesis, and modes of action. Thus, it is very important to choose appropriate research methodologies when investigating lncRNAs with biological significance. Multiple reviews to date have summarized the mechanisms of lncRNA biogenesis, their localization, their functions in gene regulation at multiple levels, and also their potential applications. However, little has been reviewed on the leading strategies for lncRNA research. Here, we generalize a basic and systemic mind map for lncRNA research and discuss the mechanisms and the application scenarios of ‘up-to-date’ techniques as applied to molecular function studies of lncRNAs. Taking advantage of documented lncRNA research paradigms as examples, we aim to provide an overview of the developing techniques for elucidating lncRNA interactions with genomic DNA, proteins, and other RNAs. In the end, we propose the future direction and potential technological challenges of lncRNA studies, focusing on techniques and applications.
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Affiliation(s)
- Xiaoyuan Tao
- Xianghu Laboratory, Hangzhou 311231, China
- Central Laboratory, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Sujuan Li
- Central Laboratory, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Guang Chen
- Central Laboratory, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Jian Wang
- Central Laboratory, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Shengchun Xu
- Xianghu Laboratory, Hangzhou 311231, China
- Central Laboratory, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
- Correspondence:
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43
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Stamidis N, Żylicz JJ. RNA-mediated heterochromatin formation at repetitive elements in mammals. EMBO J 2023; 42:e111717. [PMID: 36847618 PMCID: PMC10106986 DOI: 10.15252/embj.2022111717] [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: 05/20/2022] [Revised: 12/12/2022] [Accepted: 02/07/2023] [Indexed: 03/01/2023] Open
Abstract
The failure to repress transcription of repetitive genomic elements can lead to catastrophic genome instability and is associated with various human diseases. As such, multiple parallel mechanisms cooperate to ensure repression and heterochromatinization of these elements, especially during germline development and early embryogenesis. A vital question in the field is how specificity in establishing heterochromatin at repetitive elements is achieved. Apart from trans-acting protein factors, recent evidence points to a role of different RNA species in targeting repressive histone marks and DNA methylation to these sites in mammals. Here, we review recent discoveries on this topic and predominantly focus on the role of RNA methylation, piRNAs, and other localized satellite RNAs.
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Affiliation(s)
- Nikolaos Stamidis
- Novo Nordisk Foundation Center for Stem Cell Medicine, reNEW, University of Copenhagen, Copenhagen, Denmark
| | - Jan Jakub Żylicz
- Novo Nordisk Foundation Center for Stem Cell Medicine, reNEW, University of Copenhagen, Copenhagen, Denmark
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44
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Tang J, Wang X, Xiao D, Liu S, Tao Y. The chromatin-associated RNAs in gene regulation and cancer. Mol Cancer 2023; 22:27. [PMID: 36750826 PMCID: PMC9903551 DOI: 10.1186/s12943-023-01724-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
Eukaryotic genomes are prevalently transcribed into many types of RNAs that translate into proteins or execute gene regulatory functions. Many RNAs associate with chromatin directly or indirectly and are called chromatin-associated RNAs (caRNAs). To date, caRNAs have been found to be involved in gene and transcriptional regulation through multiple mechanisms and have important roles in different types of cancers. In this review, we first present different categories of caRNAs and the modes of interaction between caRNAs and chromatin. We then detail the mechanisms of chromatin-associated nascent RNAs, chromatin-associated noncoding RNAs and emerging m6A on caRNAs in transcription and gene regulation. Finally, we discuss the roles of caRNAs in cancer as well as epigenetic and epitranscriptomic mechanisms contributing to cancer, which could provide insights into the relationship between different caRNAs and cancer, as well as tumor treatment and intervention.
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Affiliation(s)
- Jun Tang
- grid.216417.70000 0001 0379 7164Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410078 Hunan China ,grid.216417.70000 0001 0379 7164Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, 410078 Hunan China
| | - Xiang Wang
- grid.216417.70000 0001 0379 7164Department of Thoracic Surgery, Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Second Xiangya Hospital, Central South University, Changsha, 410011 China
| | - Desheng Xiao
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Shuang Liu
- Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
| | - Yongguang Tao
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China. .,Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, 410078, Hunan, China. .,Department of Thoracic Surgery, Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Second Xiangya Hospital, Central South University, Changsha, 410011, China. .,Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
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45
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Roy AL, Conroy RS, Taylor VG, Mietz J, Fingerman IM, Pazin MJ, Smith P, Hutter CM, Singer DS, Wilder EL. Elucidating the structure and function of the nucleus-The NIH Common Fund 4D Nucleome program. Mol Cell 2023; 83:335-342. [PMID: 36640770 PMCID: PMC9898192 DOI: 10.1016/j.molcel.2022.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023]
Abstract
Genomic architecture appears to play crucial roles in health and a variety of diseases. How nuclear structures reorganize over different timescales is elusive, partly because the tools needed to probe and perturb them are not as advanced as needed by the field. To fill this gap, the National Institutes of Health Common Fund started a program in 2015, called the 4D Nucleome (4DN), with the goal of developing and ultimately applying technologies to interrogate the structure and function of nuclear organization in space and time.
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Affiliation(s)
- Ananda L Roy
- Office of Strategic Coordination, National Institutes of Health, Bethesda, MD 20892, USA; Division of Program Coordination, Planning, and Strategic Initiative, National Institutes of Health, Bethesda, MD 20892, USA; Office of the National Institutes of Health Director, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Richard S Conroy
- Office of Strategic Coordination, National Institutes of Health, Bethesda, MD 20892, USA; Division of Program Coordination, Planning, and Strategic Initiative, National Institutes of Health, Bethesda, MD 20892, USA; Office of the National Institutes of Health Director, National Institutes of Health, Bethesda, MD 20892, USA
| | - Veronica G Taylor
- Office of Strategic Coordination, National Institutes of Health, Bethesda, MD 20892, USA; Division of Program Coordination, Planning, and Strategic Initiative, National Institutes of Health, Bethesda, MD 20892, USA; Office of the National Institutes of Health Director, National Institutes of Health, Bethesda, MD 20892, USA
| | - Judy Mietz
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ian M Fingerman
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michael J Pazin
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Phillip Smith
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Carolyn M Hutter
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Dinah S Singer
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth L Wilder
- Office of Strategic Coordination, National Institutes of Health, Bethesda, MD 20892, USA; Division of Program Coordination, Planning, and Strategic Initiative, National Institutes of Health, Bethesda, MD 20892, USA; Office of the National Institutes of Health Director, National Institutes of Health, Bethesda, MD 20892, USA
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46
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Non-coding RNAs in human health and disease: potential function as biomarkers and therapeutic targets. Funct Integr Genomics 2023; 23:33. [PMID: 36625940 PMCID: PMC9838419 DOI: 10.1007/s10142-022-00947-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Abstract
Human diseases have been a critical threat from the beginning of human history. Knowing the origin, course of action and treatment of any disease state is essential. A microscopic approach to the molecular field is a more coherent and accurate way to explore the mechanism, progression, and therapy with the introduction and evolution of technology than a macroscopic approach. Non-coding RNAs (ncRNAs) play increasingly important roles in detecting, developing, and treating all abnormalities related to physiology, pathology, genetics, epigenetics, cancer, and developmental diseases. Noncoding RNAs are becoming increasingly crucial as powerful, multipurpose regulators of all biological processes. Parallel to this, a rising amount of scientific information has revealed links between abnormal noncoding RNA expression and human disorders. Numerous non-coding transcripts with unknown functions have been found in addition to advancements in RNA-sequencing methods. Non-coding linear RNAs come in a variety of forms, including circular RNAs with a continuous closed loop (circRNA), long non-coding RNAs (lncRNA), and microRNAs (miRNA). This comprises specific information on their biogenesis, mode of action, physiological function, and significance concerning disease (such as cancer or cardiovascular diseases and others). This study review focuses on non-coding RNA as specific biomarkers and novel therapeutic targets.
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47
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Sriram K, Luo Y, Malhi NK, Chen AT, Chen ZB. Methods to Study RNA-Chromatin Interactions. Methods Mol Biol 2023; 2666:279-297. [PMID: 37166672 DOI: 10.1007/978-1-0716-3191-1_20] [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] [Indexed: 05/12/2023]
Abstract
RNA plays a fundamental role in the organization of chromatin as well as the regulation of gene expression. Although the chromatin is pervasively attached by both coding and noncoding RNAs, the impact of these chromatin-associated RNAs (caRNAs) on gene expression and cellular functions and their underlying mechanisms have just begun to be unraveled. One approach to understand the potential mechanism of gene regulation by caRNAs is to identify the caRNA-associated genomic regions. Several groups have developed methods to capture RNA-chromatin interactions in either one RNA vs the whole genome, i.e., "one-to-all" or all RNAs vs the whole genome, i.e., "all-to-all" manner. In this chapter, we discuss several state-of-the-art methods highlighting the principles behind them, the experimental procedures, the advantages and limitations, and their applications. Our goal is to provide an overview and guide to researchers interested in exploring caRNAs using these techniques.
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Affiliation(s)
- Kiran Sriram
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
- Irell and Manella Graduate School of Biological Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Yingjun Luo
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Naseeb K Malhi
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Aleysha T Chen
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Zhen Bouman Chen
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA.
- Irell and Manella Graduate School of Biological Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA.
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48
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Yip CW, Hon CC, Yasuzawa K, Sivaraman DM, Ramilowski JA, Shibayama Y, Agrawal S, Prabhu AV, Parr C, Severin J, Lan YJ, Dostie J, Petri A, Nishiyori-Sueki H, Tagami M, Itoh M, López-Redondo F, Kouno T, Chang JC, Luginbühl J, Kato M, Murata M, Yip WH, Shu X, Abugessaisa I, Hasegawa A, Suzuki H, Kauppinen S, Yagi K, Okazaki Y, Kasukawa T, de Hoon M, Carninci P, Shin JW. Antisense-oligonucleotide-mediated perturbation of long non-coding RNA reveals functional features in stem cells and across cell types. Cell Rep 2022; 41:111893. [PMID: 36577377 DOI: 10.1016/j.celrep.2022.111893] [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: 04/12/2022] [Revised: 08/30/2022] [Accepted: 12/07/2022] [Indexed: 12/28/2022] Open
Abstract
Within the scope of the FANTOM6 consortium, we perform a large-scale knockdown of 200 long non-coding RNAs (lncRNAs) in human induced pluripotent stem cells (iPSCs) and systematically characterize their roles in self-renewal and pluripotency. We find 36 lncRNAs (18%) exhibiting cell growth inhibition. From the knockdown of 123 lncRNAs with transcriptome profiling, 36 lncRNAs (29.3%) show molecular phenotypes. Integrating the molecular phenotypes with chromatin-interaction assays further reveals cis- and trans-interacting partners as potential primary targets. Additionally, cell-type enrichment analysis identifies lncRNAs associated with pluripotency, while the knockdown of LINC02595, CATG00000090305.1, and RP11-148B6.2 modulates colony formation of iPSCs. We compare our results with previously published fibroblasts phenotyping data and find that 2.9% of the lncRNAs exhibit a consistent cell growth phenotype, whereas we observe 58.3% agreement in molecular phenotypes. This highlights that molecular phenotyping is more comprehensive in revealing affected pathways.
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Affiliation(s)
- Chi Wai Yip
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Chung-Chau Hon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Kayoko Yasuzawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Divya M Sivaraman
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala 695 011, India
| | - Jordan A Ramilowski
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Advanced Medical Research Center, Yokohama City University, Yokohama, Kanagawa 236-0004, Japan
| | - Youtaro Shibayama
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Saumya Agrawal
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Anika V Prabhu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Callum Parr
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Jessica Severin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Yan Jun Lan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Josée Dostie
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, QC, Canada
| | - Andreas Petri
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen 2450, Denmark
| | | | - Michihira Tagami
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Masayoshi Itoh
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | | | - Tsukasa Kouno
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Jen-Chien Chang
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Joachim Luginbühl
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Masaki Kato
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Mitsuyoshi Murata
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Wing Hin Yip
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Xufeng Shu
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Department of Computational Biology and Medical Sciences, The University of Tokyo, Kashiwa, Chiba, 277-8562, Japan
| | - Imad Abugessaisa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Akira Hasegawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Harukazu Suzuki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Sakari Kauppinen
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen 2450, Denmark
| | - Ken Yagi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Yasushi Okazaki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Takeya Kasukawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Michiel de Hoon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Human Technopole, via Rita Levi Montalcini 1, Milan, Italy
| | - Jay W Shin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore.
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49
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Ding T, Zhang H. Novel biological insights revealed from the investigation of multiscale genome architecture. Comput Struct Biotechnol J 2022; 21:312-325. [PMID: 36582436 PMCID: PMC9791078 DOI: 10.1016/j.csbj.2022.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/06/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Gene expression and cell fate determination require precise and coordinated epigenetic regulation. The complex three-dimensional (3D) genome organization plays a critical role in transcription in myriad biological processes. A wide range of architectural features of the 3D genome, including chromatin loops, topologically associated domains (TADs), chromatin compartments, and phase separation, together regulate the chromatin state and transcriptional activity at multiple levels. With the help of 3D genome informatics, recent biochemistry and imaging approaches based on different strategies have revealed functional interactions among biomacromolecules, even at the single-cell level. Here, we review the occurrence, mechanistic basis, and functional implications of dynamic genome organization, and outline recent experimental and computational approaches for profiling multiscale genome architecture to provide robust tools for studying the 3D genome.
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Affiliation(s)
| | - He Zhang
- Corresponding author at: School of Life Science and Technology, Tongji University, Shanghai 200092, PR China.
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Liang W, Wang S, Wang H, Li X, Meng Q, Zhao Y, Zheng C. When 3D genome technology meets viral infection, including SARS-CoV-2. J Med Virol 2022; 94:5627-5639. [PMID: 35916043 PMCID: PMC9538846 DOI: 10.1002/jmv.28040] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/09/2022] [Accepted: 07/30/2022] [Indexed: 01/06/2023]
Abstract
Mammalian chromosomes undergo varying degrees of compression to form three-dimensional genome structures. These three-dimensional structures undergo dynamic and precise chromatin interactions to achieve precise spatial and temporal regulation of gene expression. Most eukaryotic DNA viruses can invade their genomes into the nucleus. However, it is still poorly understood how the viral genome is precisely positioned after entering the host cell nucleus to find the most suitable location and whether it can specifically interact with the host genome to hijack the host transcriptional factories or even integrate into the host genome to complete its transcription and replication rapidly. Chromosome conformation capture technology can reveal long-range chromatin interactions between different chromosomal sites in the nucleus, potentially providing a reference for viral DNA-host chromatin interactions. This review summarized the research progress on the three-dimensional interaction between virus and host genome and the impact of virus integration into the host genome on gene transcription regulation, aiming to provide new insights into chromatin interaction and viral gene transcription regulation, laying the foundation for the treatment of infectious diseases.
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Affiliation(s)
- Weizheng Liang
- Central LaboratoryThe First Affiliated Hospital of Hebei North UniversityZhangjiakouChina
- Department of Immunology, School of Basic Medical SciencesFujian Medical UniversityFuzhouChina
| | - Shuangqing Wang
- Department of NeurologyShenzhen University General Hospital, Shenzhen UniversityShenzhen, Guangdong ProvinceChina
| | - Hao Wang
- Department of Obstetrics and GynecologyShenzhen University General HospitalShenzhen, GuangdongChina
| | - Xiushen Li
- Department of Obstetrics and GynecologyShenzhen University General HospitalShenzhen, GuangdongChina
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical EngineeringShenzhen University Health Science CenterShenzhen, GuangdongChina
- Shenzhen Key LaboratoryShenzhen University General HospitalShenzhen, GuangdongChina
| | - Qingxue Meng
- Central LaboratoryThe First Affiliated Hospital of Hebei North UniversityZhangjiakouChina
| | - Yan Zhao
- Department of Mathematics and Computer ScienceFree University BerlinBerlinGermany
| | - Chunfu Zheng
- Department of Immunology, School of Basic Medical SciencesFujian Medical UniversityFuzhouChina
- Department of Microbiology, Immunology and Infectious DiseasesUniversity of CalgaryCalgaryAlbertaCanada
- The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life SciencesInner Mongolia UniversityHohhotChina
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