1
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Dhaka B, Zimmerli M, Hanhart D, Moser M, Guillen-Ramirez H, Mishra S, Esposito R, Polidori T, Widmer M, García-Pérez R, Julio MKD, Pervouchine D, Melé M, Chouvardas P, Johnson R. Functional identification of cis-regulatory long noncoding RNAs at controlled false discovery rates. Nucleic Acids Res 2024; 52:2821-2835. [PMID: 38348970 PMCID: PMC11014264 DOI: 10.1093/nar/gkae075] [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: 05/31/2023] [Revised: 01/15/2024] [Accepted: 01/26/2024] [Indexed: 03/09/2024] Open
Abstract
A key attribute of some long noncoding RNAs (lncRNAs) is their ability to regulate expression of neighbouring genes in cis. However, such 'cis-lncRNAs' are presently defined using ad hoc criteria that, we show, are prone to false-positive predictions. The resulting lack of cis-lncRNA catalogues hinders our understanding of their extent, characteristics and mechanisms. Here, we introduce TransCistor, a framework for defining and identifying cis-lncRNAs based on enrichment of targets amongst proximal genes. TransCistor's simple and conservative statistical models are compatible with functionally defined target gene maps generated by existing and future technologies. Using transcriptome-wide perturbation experiments for 268 human and 134 mouse lncRNAs, we provide the first large-scale survey of cis-lncRNAs. Known cis-lncRNAs are correctly identified, including XIST, LINC00240 and UMLILO, and predictions are consistent across analysis methods, perturbation types and independent experiments. We detect cis-activity in a minority of lncRNAs, primarily involving activators over repressors. Cis-lncRNAs are detected by both RNA interference and antisense oligonucleotide perturbations. Mechanistically, cis-lncRNA transcripts are observed to physically associate with their target genes and are weakly enriched with enhancer elements. In summary, TransCistor establishes a quantitative foundation for cis-lncRNAs, opening a path to elucidating their molecular mechanisms and biological significance.
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Affiliation(s)
- Bhavya Dhaka
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
| | - Marc Zimmerli
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Daniel Hanhart
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Mario B Moser
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Hugo Guillen-Ramirez
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sanat Mishra
- Indian Institute of Science Education and Research, Mohali, India
| | - Roberta Esposito
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Taisia Polidori
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Maro Widmer
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Raquel García-Pérez
- Department of Life Sciences, Barcelona Supercomputing Centre, Barcelona 08034, Spain
| | - Marianna Kruithof-de Julio
- Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Urology Research Laboratory, Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Dmitri Pervouchine
- Center for Cellular and Molecular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Marta Melé
- Department of Life Sciences, Barcelona Supercomputing Centre, Barcelona 08034, Spain
| | - Panagiotis Chouvardas
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Urology Research Laboratory, Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Rory Johnson
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- FutureNeuro SFI Research Centre, University College Dublin, Dublin D04 V1W8, Ireland
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2
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Wang D, Zu Y, Sun W, Fan X. SETD1A-mediated Methylation of H3K4me3 Inhibits Ferroptosis in Non-small Cell Lung Cancer by Regulating the WTAPP1/WTAP Axis. Curr Med Chem 2024; 31:3217-3231. [PMID: 37231753 DOI: 10.2174/0929867330666230525143252] [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: 08/29/2022] [Revised: 04/06/2023] [Accepted: 04/12/2023] [Indexed: 05/27/2023]
Abstract
INTRODUCTION SETD1A is upregulated in non-small cell lung cancer (NSCLC) tissues. This study investigated the molecular mechanism of the SETD1A/WTAPP1/WTAP axis in NSCLC. METHODS Ferroptosis is a unique cell death mode driven by iron-reliant phospholipid peroxidation, which is regulated by multiple cellular metabolic pathways, including REDOX homeostasis, iron metabolism, mitochondrial activity and metabolism of amino acids, lipids and sugars. Thus, the levels of ferroptosis markers (MDA, SOD, GSH) were measured in vitro, and NSCLC cell behaviors were assessed. SETD1A-mediated H3K4me3 methylation was analyzed. SETD1A-exerted effects on ferroptosis and tumor growth in vivo were verified in nude mouse models. RESULTS SETD1A was highly expressed in NSCLC cells. Silencing SETD1A suppressed NSCLC cell proliferation and migration, inhibited MDA, and enhanced GPX4, SOD, and GSH levels. SETD1A elevated WTAP expression through WTAPP1 upregulation by mediating H3K4me3 methylation in the WTAPP1 promoter region. WTAPP1 overexpression partly averted the promotional effect of silencing SETD1A on NSCLC cell ferroptosis. WTAP interference abrogated the inhibitory effects of WTAPP1 on NSCLC cell ferroptosis. Silencing SETD1A facilitated ferroptosis and accelerated tumor growth in nude mice through the WTAPP1/WTAP axis. CONCLUSION SETD1A amplified WTAP expression through WTAPP1 upregulation by mediating H3K4me3 modification in the WTAPP1 promoter region, thus promoting NSCLC cell proliferation and migration and inhibiting ferroptosis.
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Affiliation(s)
- Dao Wang
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei Province, 430030, China
| | - Yukun Zu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei Province, 430030, China
| | - Wei Sun
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei Province, 430030, China
| | - Xiaowu Fan
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei Province, 430030, China
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3
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Gil N, Perry RBT, Mukamel Z, Tuck A, Bühler M, Ulitsky I. Complex regulation of Eomes levels mediated through distinct functional features of the Meteor long non-coding RNA locus. Cell Rep 2023; 42:112569. [PMID: 37256750 PMCID: PMC10320833 DOI: 10.1016/j.celrep.2023.112569] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/07/2023] [Accepted: 05/12/2023] [Indexed: 06/02/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are implicated in a plethora of cellular processes, but an in-depth understanding of their functional features or their mechanisms of action is currently lacking. Here we study Meteor, a lncRNA transcribed near the gene encoding EOMES, a pleiotropic transcription factor implicated in various processes throughout development and in adult tissues. Using a wide array of perturbation techniques, we show that transcription elongation through the Meteor locus is required for Eomes activation in mouse embryonic stem cells, with Meteor repression linked to a change in the subpopulation primed to differentiate to the mesoderm lineage. We further demonstrate that a distinct functional feature of the locus-namely, the underlying DNA element-is required for suppressing Eomes expression following neuronal differentiation. Our results demonstrate the complex regulation that can be conferred by a single locus and emphasize the importance of careful selection of perturbation techniques when studying lncRNA loci.
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Affiliation(s)
- Noa Gil
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Rotem Ben-Tov Perry
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Zohar Mukamel
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Alex Tuck
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Igor Ulitsky
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel.
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4
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Hamba Y, Kamatani T, Miya F, Boroevich KA, Tsunoda T. Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs. iScience 2023; 26:106640. [PMID: 37250307 PMCID: PMC10214471 DOI: 10.1016/j.isci.2023.106640] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/15/2022] [Accepted: 04/05/2023] [Indexed: 05/31/2023] Open
Abstract
Accumulating evidence indicates that long intergenic non-coding RNAs (lincRNAs) show more tissue-specific expression patterns than protein-coding genes (PCGs). However, although lincRNAs are subject to canonical transcriptional regulation like PCGs, the molecular basis for the specificity of their expression patterns remains unclear. Here, using expression data and coordinates of topologically associating domains (TADs) in human tissues, we show that lincRNA loci are significantly enriched in the more internal region of TADs compared to PCGs and that lincRNAs within TADs have higher tissue specificity than those outside TADs. Based on these, we propose an analytical framework to interpret transcriptional status using lincRNA as an indicator. We applied it to hypertrophic cardiomyopathy data and found disease-specific transcriptional regulation: ectopic expression of keratin at the TAD level and derepression of myocyte differentiation-related genes by E2F1 with down-regulation of LINC00881. Our results provide understanding of the function and regulation of lincRNAs according to genomic structure.
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Affiliation(s)
- Yu Hamba
- Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Takashi Kamatani
- Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan
- Department of AI Technology Development, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo 101-0062, Japan
- Division of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo 113-8519, Japan
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Fuyuki Miya
- Center for Medical Genetics, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Keith A. Boroevich
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Tatsuhiko Tsunoda
- Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
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5
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Chen Q, Zeng Y, Kang J, Hu M, Li N, Sun K, Zhao Y. Enhancer RNAs in transcriptional regulation: recent insights. Front Cell Dev Biol 2023; 11:1205540. [PMID: 37266452 PMCID: PMC10229774 DOI: 10.3389/fcell.2023.1205540] [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: 04/14/2023] [Accepted: 05/09/2023] [Indexed: 06/03/2023] Open
Abstract
Enhancers are a class of cis-regulatory elements in the genome that instruct the spatiotemporal transcriptional program. Last decade has witnessed an exploration of non-coding transcripts pervasively transcribed from active enhancers in diverse contexts, referred to as enhancer RNAs (eRNAs). Emerging evidence unequivocally suggests eRNAs are an important layer in transcriptional regulation. In this mini-review, we summarize the well-established regulatory models for eRNA actions and highlight the recent insights into the structure and chemical modifications of eRNAs underlying their functions. We also explore the potential roles of eRNAs in transcriptional condensates.
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Affiliation(s)
- Qi Chen
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yaxin Zeng
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Jinjin Kang
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Minghui Hu
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Nianle Li
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China
| | - Yu Zhao
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
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6
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Zhao H, Wang L, Zhang L, Zhao H. Phytochemicals targeting lncRNAs: A novel direction for neuroprotection in neurological disorders. Biomed Pharmacother 2023; 162:114692. [PMID: 37058817 DOI: 10.1016/j.biopha.2023.114692] [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: 03/12/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/16/2023] Open
Abstract
Neurological disorders with various etiologies impacting the nervous system are prevalent in clinical practice. Long non-coding RNA (lncRNA) molecules are functional RNA molecules exceeding 200 nucleotides in length that do not encode proteins, but participate in essential activities. Research indicates that lncRNAs may contribute to the pathogenesis of neurological disorders, and may be potential targets for their treatment. Phytochemicals in traditional Chinese herbal medicine (CHM) have been found to exert neuroprotective effects by targeting lncRNAs and regulating gene expression and various signaling pathways. We aim to establish the development status and neuroprotective mechanism of phytochemicals that target lncRNAs through a thorough literature review. A total of 369 articles were retrieved through manual and electronic searches of PubMed, Web of Science, Scopus and CNKI databases from inception to September 2022. The search utilized combinations of natural products, lncRNAs, neurological disorders, and neuroprotective effects as keywords. The included studies, a total of 31 preclinical trials, were critically reviewed to present the current situation and the progress in phytochemical-targeted lncRNAs in neuroprotection. Phytochemicals have demonstrated neuroprotective effects in preclinical studies of various neurological disorders by regulating lncRNAs. These disorders include arteriosclerotic ischemia-reperfusion injury, ischemic/hemorrhagic stroke, Alzheimer's disease, Parkinson's disease, glioma, peripheral nerve injury, post-stroke depression, and depression. Several phytochemicals exert neuroprotective roles through mechanisms such as anti-inflammatory, antioxidant, anti-apoptosis, autophagy regulation, and antagonism of Aβ-induced neurotoxicity. Some phytochemicals targeted lncRNAs and served a neuroprotective role by regulating microRNA and mRNA expression. The emergence of lncRNAs as pathological regulators provides a novel direction for the study of phytochemicals in CHM. Elucidating the mechanism of phytochemicals regulating lncRNAs will help to identify new therapeutic targets and promote their application in precision medicine.
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Affiliation(s)
- Hang Zhao
- Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Lin Wang
- Department of Emergency medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Lijuan Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China.
| | - Hongyu Zhao
- Department of Emergency medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China.
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7
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Autophagy-Related ncRNAs in Pancreatic Cancer. Pharmaceuticals (Basel) 2022; 15:ph15121547. [PMID: 36558998 PMCID: PMC9785627 DOI: 10.3390/ph15121547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/05/2022] [Accepted: 12/10/2022] [Indexed: 12/15/2022] Open
Abstract
Pancreatic cancer (PC) is a malignancy accounting for only 3% of total cancers, but with a low 5-year relative survival rate. Approximately 80% of PC patients are diagnosed at a late stage when the disease has already spread from the primary site. Despite advances in PC treatment, there is an urgently needed for the identification of novel therapeutic strategies for PC, particularly for patients who cannot undergo classical surgery. Autophagy is an evolutionarily conserved process used by cells to adapt to metabolic stress via the degrading or recycling of damaged or unnecessary organelles and cellular components. This process is elevated in PC and, thus, it contributes to the onset, progression, and cancer cell resistance to chemotherapy in pancreatic tumors. Autophagy inhibition has been shown to lead to cancer regression and to increase the sensitivity of pancreatic cells to radiation and chemotherapy. Emerging studies have focused on the roles of non-coding RNAs (ncRNAs), such as miRNAs, long non-coding RNAs, and circular RNAs, in PC development and progression. Furthermore, ncRNAs have been reported as crucial regulators of many biological processes, including autophagy, suggesting that ncRNA-based autophagy targeting methods could be promising novel molecular approaches for specifically reducing autophagic flux, thus improving the management of PC patients. In this review, we briefly summarize the existing studies regarding the role and the regulatory mechanisms of autophagy-related ncRNAs in the context of this cancer.
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8
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Micheletti R, Alexanian M. Transcriptional plasticity of fibroblasts in heart disease. Biochem Soc Trans 2022; 50:1247-1255. [PMID: 36281993 PMCID: PMC9704531 DOI: 10.1042/bst20210864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 08/27/2023]
Abstract
Cardiac fibroblasts play an essential role in maintaining the structural framework of the heart. Upon stress, fibroblasts undergo a cell state transition to activated fibroblasts (also referred to as myofibroblasts), a highly synthetic cell type that proliferates, migrates, and secrets both extracellular matrix as well as signaling factors that can modulate cellular crosstalk [J. Clin. Invest. 132, e148554]. Activated fibroblasts are critical regulators of cardiac wound healing after injury, but their excessive and persistent activation promote tissue fibrosis, a hallmark feature of the pathological remodeling of the heart. While much of the previous work in cardiac fibroblast biology has focused on the role of canonical signaling pathways or components of the extracellular matrix, recent efforts have been focused on deciphering the gene regulatory principles governing fibroblast activation. A better understanding of the molecular mechanisms that trigger and sustain the fibrotic process in heart disease has the potential to accelerate the development of therapies that specifically target the cardiac activated fibroblasts, which are at the moment unavailable. This concise review focuses on the mechanisms underlying the chromatin and transcriptional regulation of cardiac fibroblast activation. We discuss recent work from our group and others in this space, highlighting the application of single-cell genomics in the characterization of fibroblast function and diversity, and provide an overview on the prospects of targeting cardiac fibroblasts in heart disease and the associated challenges.
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Affiliation(s)
- Rudi Micheletti
- Howard Hughes Medical Institute, Department and School of Medicine, University of California, San Diego, La Jolla, CA, U.S.A
| | - Michael Alexanian
- Gladstone Institutes, San Francisco, CA, U.S.A
- Department of Pediatrics, University of California, San Francisco, CA, U.S.A
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9
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Downes DJ, Hughes JR. Natural and Experimental Rewiring of Gene Regulatory Regions. Annu Rev Genomics Hum Genet 2022; 23:73-97. [PMID: 35472292 DOI: 10.1146/annurev-genom-112921-010715] [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: 11/09/2022]
Abstract
The successful development and ongoing functioning of complex organisms depend on the faithful execution of the genetic code. A critical step in this process is the correct spatial and temporal expression of genes. The highly orchestrated transcription of genes is controlled primarily by cis-regulatory elements: promoters, enhancers, and insulators. The medical importance of this key biological process can be seen by the frequency with which mutations and inherited variants that alter cis-regulatory elements lead to monogenic and complex diseases and cancer. Here, we provide an overview of the methods available to characterize and perturb gene regulatory circuits. We then highlight mechanisms through which regulatory rewiring contributes to disease, and conclude with a perspective on how our understanding of gene regulation can be used to improve human health.
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Affiliation(s)
- Damien J Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom;
| | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom;
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom;
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10
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Ponting CP, Haerty W. Genome-Wide Analysis of Human Long Noncoding RNAs: A Provocative Review. Annu Rev Genomics Hum Genet 2022; 23:153-172. [PMID: 35395170 DOI: 10.1146/annurev-genom-112921-123710] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Do long noncoding RNAs (lncRNAs) contribute little or substantively to human biology? To address how lncRNA loci and their transcripts, structures, interactions, and functions contribute to human traits and disease, we adopt a genome-wide perspective. We intend to provoke alternative interpretation of questionable evidence and thorough inquiry into unsubstantiated claims. We discuss pitfalls of lncRNA experimental and computational methods as well as opposing interpretations of their results. The majority of evidence, we argue, indicates that most lncRNA transcript models reflect transcriptional noise or provide minor regulatory roles, leaving relatively few human lncRNAs that contribute centrally to human development, physiology, or behavior. These important few tend to be spliced and better conserved but lack a simple syntax relating sequence to structure and mechanism, and so resist simple categorization. This genome-wide view should help investigators prioritize individual lncRNAs based on their likely contribution to human biology.
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Affiliation(s)
- Chris P Ponting
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom;
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11
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Muskovic W, Slavich E, Maslen B, Kaczorowski DC, Cursons J, Crampin E, Kavallaris M. High temporal resolution RNA-seq time course data reveals widespread synchronous activation between mammalian lncRNAs and neighboring protein-coding genes. Genome Res 2022; 32:1463-1473. [PMID: 35760562 PMCID: PMC9435739 DOI: 10.1101/gr.276818.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/24/2022] [Indexed: 11/24/2022]
Abstract
The advent of massively parallel sequencing revealed extensive transcription beyond protein-coding genes, identifying tens of thousands of long noncoding RNAs (lncRNAs). Selected functional examples raised the possibility that lncRNAs, as a class, may maintain broad regulatory roles. Expression of lncRNAs is strongly linked with adjacent protein-coding gene expression, suggesting potential cis-regulatory functions. A more detailed understanding of these regulatory roles may be obtained through careful examination of the precise timing of lncRNA expression relative to adjacent protein-coding genes. Despite the diversity of reported lncRNA regulatory mechanisms, where causal cis-regulatory relationships exist, lncRNA transcription is expected to precede changes in target gene expression. Using a high temporal resolution RNA-seq time course, we profiled the expression dynamics of several thousand lncRNAs and protein-coding genes in synchronized, transitioning human cells. Our findings reveal that lncRNAs are expressed synchronously with adjacent protein-coding genes. Analysis of lipopolysaccharide-activated mouse dendritic cells revealed the same temporal relationship observed in transitioning human cells. Our findings suggest broad-scale cis-regulatory roles for lncRNAs are not common. The strong association between lncRNAs and adjacent genes may instead indicate an origin as transcriptional by-products from active protein-coding gene promoters and enhancers.
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Affiliation(s)
- Walter Muskovic
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Australian Centre for NanoMedicine, University of New South Wales Australia, Sydney, New South Wales 2052, Australia
- School of Clinical Medicine, University of New South Wales Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales 2052, Australia
| | - Eve Slavich
- Stats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Ben Maslen
- Stats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales 2052, Australia
| | | | - Joseph Cursons
- The Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research and Department of Medical Biology and Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria 3052, Australia
| | - Edmund Crampin
- Systems Biology Laboratory, School of Mathematics and Statistics and Department of Biomedical Engineering, University of Melbourne, Victoria 3010, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Melbourne School of Engineering, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Maria Kavallaris
- Children's Cancer Institute, Lowy Cancer Research Centre, University of New South Wales, Sydney, New South Wales 2052, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Australian Centre for NanoMedicine, University of New South Wales Australia, Sydney, New South Wales 2052, Australia
- School of Clinical Medicine, University of New South Wales Medicine and Health, University of New South Wales Sydney, Sydney, New South Wales 2052, Australia
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12
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Subtype and cell type specific expression of lncRNAs provide insight into breast cancer. Commun Biol 2022; 5:834. [PMID: 35982125 PMCID: PMC9388662 DOI: 10.1038/s42003-022-03559-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 06/06/2022] [Indexed: 11/08/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are involved in breast cancer pathogenesis through chromatin remodeling, transcriptional and post-transcriptional gene regulation. We report robust associations between lncRNA expression and breast cancer clinicopathological features in two population-based cohorts: SCAN-B and TCGA. Using co-expression analysis of lncRNAs with protein coding genes, we discovered three distinct clusters of lncRNAs. In silico cell type deconvolution coupled with single-cell RNA-seq analyses revealed that these three clusters were driven by cell type specific expression of lncRNAs. In one cluster lncRNAs were expressed by cancer cells and were mostly associated with the estrogen signaling pathways. In the two other clusters, lncRNAs were expressed either by immune cells or fibroblasts of the tumor microenvironment. To further investigate the cis-regulatory regions driving lncRNA expression in breast cancer, we identified subtype-specific transcription factor (TF) occupancy at lncRNA promoters. We also integrated lncRNA expression with DNA methylation data to identify long-range regulatory regions for lncRNA which were validated using ChiA-Pet-Pol2 loops. lncRNAs play an important role in shaping the gene regulatory landscape in breast cancer. We provide a detailed subtype and cell type-specific expression of lncRNA, which improves the understanding of underlying transcriptional regulation in breast cancer.
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13
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Núñez-Martínez HN, Recillas-Targa F. Emerging Functions of lncRNA Loci beyond the Transcript Itself. Int J Mol Sci 2022; 23:ijms23116258. [PMID: 35682937 PMCID: PMC9181104 DOI: 10.3390/ijms23116258] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/14/2022] [Accepted: 05/30/2022] [Indexed: 02/04/2023] Open
Abstract
Thousands of long noncoding RNAs (lncRNAs) are actively transcribed in mammalian genomes. This class of RNAs has important regulatory functions in a broad range of cellular processes and diseases. Numerous lncRNAs have been demonstrated to mediate gene regulation through RNA-based mechanisms. Simultaneously, non-functional lncRNA transcripts derived from the activity of lncRNA loci have been identified, which underpin the notion that a considerable fraction of lncRNA loci exert regulatory functions through mechanisms associated with the production or the activity of lncRNA loci beyond the synthesized transcripts. We particularly distinguish two main RNA-independent components associated with regulatory effects; the act of transcription and the activity of DNA regulatory elements. We describe the experimental approaches to distinguish and understand the functional mechanisms derived from lncRNA loci. These scenarios reveal emerging mechanisms important to understanding the lncRNA implications in genome biology.
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14
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Neyazi S, Ng M, Heckl D, Klusmann JH. Long noncoding RNAs as regulators of pediatric acute myeloid leukemia. Mol Cell Pediatr 2022; 9:10. [PMID: 35596093 PMCID: PMC9123150 DOI: 10.1186/s40348-022-00142-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/30/2022] [Indexed: 11/10/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are increasingly emerging as regulators across human development and disease, and many have been described in the context of hematopoiesis and leukemogenesis. These studies have yielded new molecular insights into the contribution of lncRNAs to AML development and revealed connections between lncRNA expression and clinical parameters in AML patients. In this mini review, we illustrate the versatile functions of lncRNAs in AML, with a focus on pediatric AML, and present examples that may serve as future therapeutic targets or predictive factors.
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Affiliation(s)
- Sina Neyazi
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Michelle Ng
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Dirk Heckl
- Department of Pediatrics I, Martin Luther University Halle-Wittenberg, Halle, Germany
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15
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Olmedo-Suárez MÁ, Ramírez-Díaz I, Pérez-González A, Molina-Herrera A, Coral-García MÁ, Lobato S, Sarvari P, Barreto G, Rubio K. Epigenetic Regulation in Exposome-Induced Tumorigenesis: Emerging Roles of ncRNAs. Biomolecules 2022; 12:513. [PMID: 35454102 PMCID: PMC9032613 DOI: 10.3390/biom12040513] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 02/06/2023] Open
Abstract
Environmental factors, including pollutants and lifestyle, constitute a significant role in severe, chronic pathologies with an essential societal, economic burden. The measurement of all environmental exposures and assessing their correlation with effects on individual health is defined as the exposome, which interacts with our unique characteristics such as genetics, physiology, and epigenetics. Epigenetics investigates modifications in the expression of genes that do not depend on the underlying DNA sequence. Some studies have confirmed that environmental factors may promote disease in individuals or subsequent progeny through epigenetic alterations. Variations in the epigenetic machinery cause a spectrum of different disorders since these mechanisms are more sensitive to the environment than the genome, due to the inherent reversible nature of the epigenetic landscape. Several epigenetic mechanisms, including modifications in DNA (e.g., methylation), histones, and noncoding RNAs can change genome expression under the exogenous influence. Notably, the role of long noncoding RNAs in epigenetic processes has not been well explored in the context of exposome-induced tumorigenesis. In the present review, our scope is to provide relevant evidence indicating that epigenetic alterations mediate those detrimental effects caused by exposure to environmental toxicants, focusing mainly on a multi-step regulation by diverse noncoding RNAs subtypes.
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Affiliation(s)
- Miguel Ángel Olmedo-Suárez
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Ivonne Ramírez-Díaz
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Facultad de Biotecnología, Campus Puebla, Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
| | - Andrea Pérez-González
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Alejandro Molina-Herrera
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Miguel Ángel Coral-García
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Decanato de Ciencias de la Salud, Campus Puebla, Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
| | - Sagrario Lobato
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Pouya Sarvari
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
| | - Guillermo Barreto
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Laboratoire IMoPA, CNRS, Université de Lorraine, UMR 73635 Nancy, France
- Lung Cancer Epigenetic, Max-Planck-Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Karla Rubio
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
- Laboratoire IMoPA, CNRS, Université de Lorraine, UMR 73635 Nancy, France
- Lung Cancer Epigenetic, Max-Planck-Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
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16
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Tan JY, Marques AC. The activity of human enhancers is modulated by the splicing of their associated lncRNAs. PLoS Comput Biol 2022; 18:e1009722. [PMID: 35015755 PMCID: PMC8803168 DOI: 10.1371/journal.pcbi.1009722] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 01/31/2022] [Accepted: 12/05/2021] [Indexed: 11/19/2022] Open
Abstract
Pervasive enhancer transcription is at the origin of more than half of all long noncoding RNAs in humans. Transcription of enhancer-associated long noncoding RNAs (elncRNA) contribute to their cognate enhancer activity and gene expression regulation in cis. Recently, splicing of elncRNAs was shown to be associated with elevated enhancer activity. However, whether splicing of elncRNA transcripts is a mere consequence of accessibility at highly active enhancers or if elncRNA splicing directly impacts enhancer function, remains unanswered. We analysed genetically driven changes in elncRNA splicing, in humans, to address this outstanding question. We showed that splicing related motifs within multi-exonic elncRNAs evolved under selective constraints during human evolution, suggesting the processing of these transcripts is unlikely to have resulted from transcription across spurious splice sites. Using a genome-wide and unbiased approach, we used nucleotide variants as independent genetic factors to directly assess the causal relationship that underpin elncRNA splicing and their cognate enhancer activity. We found that the splicing of most elncRNAs is associated with changes in chromatin signatures at cognate enhancers and target mRNA expression. We provide evidence that efficient and conserved processing of enhancer-associated elncRNAs contributes to enhancer activity. Most, if not all, active enhancers are transcribed, giving rise to a plethora of transcripts, including enhancer-associated long noncoding RNAs (elncRNAs). Changes in elncRNA levels impacts cognate enhancer activity. Recently splicing of elncRNA has also been found to associate with enhancer activity. Whether this associations reflects a contribution of elncRNA splicing to increased enhancer activity or else is simply the consequence of increased chromatin accessibility that promotes transcriptional elongation and allows for spurious splicing events remains unknown. We show that natural selection has acted, at the species and population level, to preserve DNA elements required for frequent and efficient elncRNA splicing Importantly, using a genome-wide and unbiased statistical population genomics approach, we demonstrate that elncRNA splicing is associated with cognate enhancer function, contributing to chromatin status and enhancer activity. Our results provides strong evidence that efficient elncRNA splicing contributes to enhancer activity genome-wide.
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Affiliation(s)
- Jennifer Yihong Tan
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- * E-mail: (JYT); (ACM)
| | - Ana Claudia Marques
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- * E-mail: (JYT); (ACM)
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17
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Gjaltema RAF, Schwämmle T, Kautz P, Robson M, Schöpflin R, Ravid Lustig L, Brandenburg L, Dunkel I, Vechiatto C, Ntini E, Mutzel V, Schmiedel V, Marsico A, Mundlos S, Schulz EG. Distal and proximal cis-regulatory elements sense X chromosome dosage and developmental state at the Xist locus. Mol Cell 2022; 82:190-208.e17. [PMID: 34932975 DOI: 10.1016/j.molcel.2021.11.023] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 12/15/2022]
Abstract
Developmental genes such as Xist, which initiates X chromosome inactivation, are controlled by complex cis-regulatory landscapes, which decode multiple signals to establish specific spatiotemporal expression patterns. Xist integrates information on X chromosome dosage and developmental stage to trigger X inactivation in the epiblast specifically in female embryos. Through a pooled CRISPR screen in differentiating mouse embryonic stem cells, we identify functional enhancer elements of Xist at the onset of random X inactivation. Chromatin profiling reveals that X-dosage controls the promoter-proximal region, while differentiation cues activate several distal enhancers. The strongest distal element lies in an enhancer cluster associated with a previously unannotated Xist-enhancing regulatory transcript, which we named Xert. Developmental cues and X-dosage are thus decoded by distinct regulatory regions, which cooperate to ensure female-specific Xist upregulation at the correct developmental time. With this study, we start to disentangle how multiple, functionally distinct regulatory elements interact to generate complex expression patterns in mammals.
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Affiliation(s)
- Rutger A F Gjaltema
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Till Schwämmle
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Pauline Kautz
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Michael Robson
- Development and Disease Group, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh EH4 2XU, Edinburgh, UK
| | - Robert Schöpflin
- Development and Disease Group, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Liat Ravid Lustig
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Lennart Brandenburg
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Ilona Dunkel
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Carolina Vechiatto
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Evgenia Ntini
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Verena Mutzel
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Vera Schmiedel
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Annalisa Marsico
- Computational Health Center, Helmholtz Center München, 85764 Neuherberg, Germany
| | - Stefan Mundlos
- Development and Disease Group, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Edda G Schulz
- Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany.
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18
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Dey S, Misra A, Selvi Bharathavikru R. Long Non-coding RNAs, Lnc (ing) RNA Metabolism to Cancer Biology. Subcell Biochem 2022; 100:175-199. [PMID: 36301495 DOI: 10.1007/978-3-031-07634-3_6] [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] [Indexed: 06/16/2023]
Abstract
The eukaryotic genome is represented by a vast proportion of non-coding regions, which in recent years have been attributed to have important functional roles in gene regulation through a myriad of processes, ranging from proper localization, correct folding and, most importantly, spatial and temporally regulated expression of genes. One of the major contributing factors in these processes is ribonucleic acid (RNA) metabolism, which comprises the RNA-nucleoprotein (RNP) complexes that interact with and instruct the genome to function. Long non-coding RNAs are an integral component of several RNPs, and herein we provide an overview of the understanding of the long non-coding RNAs, their characteristics, their function and their balancing act as dual modulators in cancer manifestation and progression.
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Affiliation(s)
- Sourav Dey
- RNP Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Berhampur, Transit Campus, Govt ITI Building, Engineering School Junction, Berhampur, Ganjam, Odisha, India
| | - Arushi Misra
- RNP Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Berhampur, Transit Campus, Govt ITI Building, Engineering School Junction, Berhampur, Ganjam, Odisha, India
| | - R Selvi Bharathavikru
- RNP Biology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER)-Berhampur, Transit Campus, Govt ITI Building, Engineering School Junction, Berhampur, Ganjam, Odisha, India.
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19
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Aurilia C, Donati S, Palmini G, Miglietta F, Falsetti I, Iantomasi T, Brandi ML. Are Non-Coding RNAs Useful Biomarkers in Parathyroid Tumorigenesis? Int J Mol Sci 2021; 22:ijms221910465. [PMID: 34638805 PMCID: PMC8508841 DOI: 10.3390/ijms221910465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/16/2021] [Accepted: 09/24/2021] [Indexed: 12/19/2022] Open
Abstract
Tumors of the parathyroid glands are common endocrine diseases almost always characterized by parathyroid hormone hypersecretion that determines the clinical manifestations of primary hyperparathyroidism, such as fatigue, kidney problems, weakness, brittle bones, and other symptoms. Most parathyroid neoplasia are benign adenomas, although rare malignant forms have been described. They are heterogeneous in terms of clinical presentation and the associated signs and symptoms overlap with those of disease and aging. Furthermore, most patients with hypercalcemia are discovered during routine blood tests for other reasons. Surgical removal is considered the main therapeutic option to cure these endocrine tumors and, therefore, innovative therapeutic approaches are actively required. Recently, a growing number of studies have suggested that alterations to the epigenetic mechanisms could play a pivotal role in parathyroid tumorigenesis. Most of the attention has been focused on non-coding RNAs (ncRNAs) (i.e., miRNAs, lncRNAs, and circRNAs) whose expression profile has been found to be deregulated in parathyroid tumors. The aim of the present paper is to give an insight into the ncRNAs involved in parathyroid tumorigenesis, which could be used in the future either as innovative diagnostic biomarkers or as therapeutic targets for the treatment of this endocrine neoplasia.
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Affiliation(s)
- Cinzia Aurilia
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Simone Donati
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Gaia Palmini
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Francesca Miglietta
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Irene Falsetti
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Teresa Iantomasi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (I.F.); (T.I.)
| | - Maria Luisa Brandi
- Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO Onlus), 50141 Florence, Italy
- Correspondence:
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20
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Noor F, Noor A, Ishaq AR, Farzeen I, Saleem MH, Ghaffar K, Aslam MF, Aslam S, Chen JT. Recent Advances in Diagnostic and Therapeutic Approaches for Breast Cancer: A Comprehensive Review. Curr Pharm Des 2021; 27:2344-2365. [PMID: 33655849 DOI: 10.2174/1381612827666210303141416] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/22/2021] [Indexed: 11/22/2022]
Abstract
A silent monster, breast cancer, is a challenging medical task for researchers. Breast cancer is a leading cause of death in women with respect to other cancers. A case of breast cancer is diagnosed among women every 19 seconds, and every 74 seconds, a woman dies of breast cancer somewhere in the world. Several risk factors, such as genetic and environmental factors, favor breast cancer development. This review tends to provide deep insights regarding the genetics of breast cancer along with multiple diagnostic and therapeutic approaches as problem-solving negotiators to prevent the progression of breast cancer. This assembled data mainly aims to discuss omics-based approaches to provide enthralling diagnostic biomarkers and emerging novel therapies to combat breast cancer. This review article intends to pave a new path for the discovery of effective treatment options.
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Affiliation(s)
- Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Allama Iqbal Road, 38000 Faisalabad, Pakistan
| | - Ayesha Noor
- Department of Zoology, Government College University Allama Iqbal Road, 38000 Faisalabad, Pakistan
| | - Ali Raza Ishaq
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Environmental Microbial Technology Center of Hubei Province, College of Life Science, Hubei University, Wuhan 430062, China
| | - Iqra Farzeen
- Department of Zoology, Government College University Allama Iqbal Road, 38000 Faisalabad, Pakistan
| | - Muhammad Hamzah Saleem
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Environmental Microbial Technology Center of Hubei Province, College of Life Science, Hubei University, Wuhan 430062, China
| | - Kanwal Ghaffar
- Department of Zoology, Government College University Allama Iqbal Road, 38000 Faisalabad, Pakistan
| | - Muhammad Farhan Aslam
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University Allama Iqbal Road, 38000 Faisalabad, Pakistan
| | - Jen-Tsung Chen
- Department of Life Sciences, National University of Kaohsiung, Kaohsiung 811, China
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21
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Singh N. Role of mammalian long non-coding RNAs in normal and neuro oncological disorders. Genomics 2021; 113:3250-3273. [PMID: 34302945 DOI: 10.1016/j.ygeno.2021.07.015] [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: 05/24/2021] [Revised: 07/10/2021] [Accepted: 07/14/2021] [Indexed: 12/09/2022]
Abstract
Long non-coding RNAs (lncRNAs) are expressed at lower levels than protein-coding genes but have a crucial role in gene regulation. LncRNA is distinct, they are being transcribed using RNA polymerase II, and their functionality depends on subcellular localization. Depending on their niche, they specifically interact with DNA, RNA, and proteins and modify chromatin function, regulate transcription at various stages, forms nuclear condensation bodies and nucleolar organization. lncRNAs may also change the stability and translation of cytoplasmic mRNAs and hamper signaling pathways. Thus, lncRNAs affect the physio-pathological states and lead to the development of various disorders, immune responses, and cancer. To date, ~40% of lncRNAs have been reported in the nervous system (NS) and are involved in the early development/differentiation of the NS to synaptogenesis. LncRNA expression patterns in the most common adult and pediatric tumor suggest them as potential biomarkers and provide a rationale for targeting them pharmaceutically. Here, we discuss the mechanisms of lncRNA synthesis, localization, and functions in transcriptional, post-transcriptional, and other forms of gene regulation, methods of lncRNA identification, and their potential therapeutic applications in neuro oncological disorders as explained by molecular mechanisms in other malignant disorders.
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Affiliation(s)
- Neetu Singh
- Molecular Biology Unit, Department of Centre for Advance Research, King George's Medical University, Lucknow, Uttar Pradesh 226 003, India.
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22
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Zhang C, Niu K, Lian P, Hu Y, Shuai Z, Gao S, Ge S, Xu T, Xiao Q, Chen Z. Pathological Bases and Clinical Application of Long Noncoding RNAs in Cardiovascular Diseases. Hypertension 2021; 78:16-29. [PMID: 34058852 DOI: 10.1161/hypertensionaha.120.16752] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Increasing evidence has suggested that noncoding RNAs (ncRNAs) have vital roles in cardiovascular tissue homeostasis and diseases. As a main subgroup of ncRNAs, long ncRNAs (lncRNAs) have been reported to play important roles in lipid metabolism, inflammation, vascular injury, and angiogenesis. They have also been implicated in many human diseases including atherosclerosis, arterial remodeling, hypertension, myocardial injury, cardiac remodeling, and heart failure. Importantly, it was reported that lncRNAs were dysregulated in the development and progression of cardiovascular diseases (CVDs). A variety of studies have demonstrated that lncRNAs could influence gene expression at transcription, post-transcription, translation, and post-translation level. Particularly, emerging evidence has confirmed that the crosstalk among lncRNAs, mRNA, and miRNAs is an important underlying regulatory mechanism of lncRNAs. Nevertheless, the biological functions and molecular mechanisms of lncRNAs in CVDs have not been fully explored yet. In this review, we will comprehensively summarize the main findings about lncRNAs and CVDs, highlighting the most recent discoveries in the field of lncRNAs and their pathophysiological functions in CVDs, with the aim of dissecting the intrinsic association between lncRNAs and common risk factors of CVDs including hypertension, high glucose, and high fat. Finally, the potential of lncRNAs functioning as the biomarkers, therapeutic targets, as well as specific diagnostic and prognostic indicators of CVDs will be discussed in this review.
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Affiliation(s)
- Chengxin Zhang
- From the Department of Cardiovascular Surgery, First Affiliated Hospital of Anhui Medical University, P.R. China (C.Z., Z.S., S. Ge, Q.X.)
| | - Kaiyuan Niu
- Clinical Pharmacology, William Harvey Research Institute (WHRI), Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (K.N., Q.X.)
- Department of Otolaryngology, the third affiliated hospital of Anhui Medical University, China (K.N.)
| | - Panpan Lian
- Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, P.R. China (P.L.)
| | - Ying Hu
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, School of Pharmacy, Anhui Medical University, P.R. China (Y.H., T.X.)
| | - Ziqiang Shuai
- From the Department of Cardiovascular Surgery, First Affiliated Hospital of Anhui Medical University, P.R. China (C.Z., Z.S., S. Ge, Q.X.)
| | - Shan Gao
- Department of Pharmacology, Basic Medical College, Anhui Medical University, P.R. China (S. Gao, Q.X.)
| | - Shenglin Ge
- From the Department of Cardiovascular Surgery, First Affiliated Hospital of Anhui Medical University, P.R. China (C.Z., Z.S., S. Ge, Q.X.)
| | - Tao Xu
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, School of Pharmacy, Anhui Medical University, P.R. China (Y.H., T.X.)
| | - Qingzhong Xiao
- From the Department of Cardiovascular Surgery, First Affiliated Hospital of Anhui Medical University, P.R. China (C.Z., Z.S., S. Ge, Q.X.)
- Clinical Pharmacology, William Harvey Research Institute (WHRI), Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (K.N., Q.X.)
- Department of Pharmacology, Basic Medical College, Anhui Medical University, P.R. China (S. Gao, Q.X.)
| | - Zhaolin Chen
- Division of Life Sciences and Medicine, Department of Pharmacy, The First Affiliated Hospital of USTC, University of Science and Technology of China, Anhui Provincial Hospital, P.R. China (Z.C.)
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23
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Napoli S, Cascione L, Rinaldi A, Spriano F, Guidetti F, Zhang F, Cacciapuoti MT, Mensah AA, Sartori G, Munz N, Forcato M, Bicciato S, Chiappella A, Ghione P, Elemento O, Cerchietti L, Inghirami G, Bertoni F. Characterization of GECPAR, a noncoding RNA that regulates the transcriptional program of diffuse large B-cell lymphoma. Haematologica 2021; 107:1131-1143. [PMID: 34162177 PMCID: PMC9052922 DOI: 10.3324/haematol.2020.267096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Indexed: 01/09/2023] Open
Abstract
Enhancers are regulatory regions of DNA, which play a key role in cell-type specific differentiation and development. Most active enhancers are transcribed into enhancer RNA (eRNA) that can regulate transcription of target genes by means of in cis as well as in trans action. eRNA stabilize contacts between distal genomic regions and mediate the interaction of DNA with master transcription factors. Here, we characterized an enhancer eRNA, GECPAR (germinal center proliferative adapter RNA), which is specifically transcribed in normal and neoplastic germinal center B cells from the super-enhancer of POU2AF1, a key regulatory gene of the germinal center reaction. Using diffuse large B-cell lymphoma cell line models, we demonstrated the tumor suppressor activity of GECPAR, which is mediated via its transcriptional regulation of proliferation and differentiation genes, particularly MYC and the Wnt pathway.
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Affiliation(s)
- Sara Napoli
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland,SARA NAPOLI
| | - Luciano Cascione
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andrea Rinaldi
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Filippo Spriano
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Francesca Guidetti
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Fangwen Zhang
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | | | - Afua Adjeiwaa Mensah
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Giulio Sartori
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Nicolas Munz
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Mattia Forcato
- Center for Genome Research, Department of Life Sciences University of Modena and Reggio, Modena, Italy
| | - Silvio Bicciato
- Center for Genome Research, Department of Life Sciences University of Modena and Reggio, Modena, Italy
| | - Annalisa Chiappella
- Ematologia, A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy
| | - Paola Ghione
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Olivier Elemento
- Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA,Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Leandro Cerchietti
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Giorgio Inghirami
- Pathology and Laboratory Medicine Department, Weill Cornell Medicine, New York, NY, USA
| | - Francesco Bertoni
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland,Oncology Institute of Southern Switzerland, Bellinzona, Switzerland,FRANCESCO BERTONI
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24
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Diversity of Rainbow Trout Blood B Cells Revealed by Single Cell RNA Sequencing. BIOLOGY 2021; 10:biology10060511. [PMID: 34207643 PMCID: PMC8227096 DOI: 10.3390/biology10060511] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/03/2021] [Accepted: 06/06/2021] [Indexed: 01/13/2023]
Abstract
Simple Summary Although evolutionarily jawed fish constitute the first group of animals in which a complete adaptive immune system based on immunoglobulins (Igs) is present, many structural immune differences between fish and mammals predict important functional and phenotypical differences between B cells in these two animal groups. However, to date, very few tools are available to study B cell heterogeneity and functionality in fish. Hence, thus far, antibodies targeting the different Igs have been almost exclusively applied as tools to investigate B cell functionality in fish. In the current study, we used the newly developed 10× Genomics single cell RNA sequencing technology and used it to analyze the transcriptional pattern of single B cells from peripheral blood. The results obtained provide us with a transcriptional profile at single cell level of what seem to correspond to different B cell subsets or B cells in different stages of maturation or differentiation. The information provided will not only help us understand the biology of teleost B cells, but also provides us with a repertoire of potential markers that could be used in the future to differentiate trout B cell subsets. Abstract Single-cell sequencing technologies capable of providing us with immune information from dozens to thousands of individual cells simultaneously have revolutionized the field of immunology these past years. However, to date, most of these novel technologies have not been broadly applied to non-model organisms such as teleost fish. In this study, we used the 10× Genomics single cell RNA sequencing technology and used it to analyze for the first time in teleost fish the transcriptional pattern of single B cells from peripheral blood. The analysis of the data obtained in rainbow trout revealed ten distinct cell clusters that seem to be associated with different subsets and/or maturation/differentiation stages of circulating B cells. The potential characteristics and functions of these different B cell subpopulations are discussed on the basis of their transcriptomic profile. The results obtained provide us with valuable information to understand the biology of teleost B cells and offer us a repertoire of potential markers that could be used in the future to differentiate trout B cell subsets.
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25
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Comparative genomics in the search for conserved long noncoding RNAs. Essays Biochem 2021; 65:741-749. [PMID: 33885137 PMCID: PMC8564735 DOI: 10.1042/ebc20200069] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/15/2021] [Accepted: 03/15/2021] [Indexed: 12/23/2022]
Abstract
Long noncoding RNAs (lncRNAs) have emerged as prominent regulators of gene expression in eukaryotes. The identification of lncRNA orthologs is essential in efforts to decipher their roles across model organisms, as homologous genes tend to have similar molecular and biological functions. The relatively high sequence plasticity of lncRNA genes compared with protein-coding genes, makes the identification of their orthologs a challenging task. This is why comparative genomics of lncRNAs requires the development of specific and, sometimes, complex approaches. Here, we briefly review current advancements and challenges associated with four levels of lncRNA conservation: genomic sequences, splicing signals, secondary structures and syntenic transcription.
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26
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Aurilia C, Donati S, Palmini G, Miglietta F, Iantomasi T, Brandi ML. The Involvement of Long Non-Coding RNAs in Bone. Int J Mol Sci 2021; 22:ijms22083909. [PMID: 33920083 PMCID: PMC8069547 DOI: 10.3390/ijms22083909] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/02/2021] [Accepted: 04/08/2021] [Indexed: 12/18/2022] Open
Abstract
A harmonious balance between osteoblast and osteoclast activity guarantees optimal bone formation and resorption, pathological conditions affecting the bone may arise. In recent years, emerging evidence has shown that epigenetic mechanisms play an important role during osteoblastogenesis and osteoclastogenesis processes, including long non-coding RNAs (lncRNAs). These molecules are a class of ncRNAs with lengths exceeding 200 nucleotides not translated into protein, that have attracted the attention of the scientific community as potential biomarkers to use for the future development of novel diagnostic and therapeutic approaches for several pathologies, including bone diseases. This review aims to provide an overview of the lncRNAs and their possible molecular mechanisms in the osteoblastogenesis and osteoclastogenesis processes. The deregulation of their expression profiles in common diseases associated with an altered bone turnover is also described. In perspective, lncRNAs could be considered potential innovative molecular biomarkers to help with earlier diagnosis of bone metabolism-related disorders and for the development of new therapeutic strategies.
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Affiliation(s)
- Cinzia Aurilia
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
| | - Simone Donati
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
| | - Gaia Palmini
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
| | - Francesca Miglietta
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
| | - Teresa Iantomasi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
| | - Maria Luisa Brandi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50134 Florence, Italy; (C.A.); (S.D.); (G.P.); (F.M.); (T.I.)
- Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO Onlus), 50141 Florence, Italy
- Correspondence:
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27
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A first exon termination checkpoint preferentially suppresses extragenic transcription. Nat Struct Mol Biol 2021; 28:337-346. [PMID: 33767452 PMCID: PMC7610630 DOI: 10.1038/s41594-021-00572-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/12/2021] [Indexed: 01/31/2023]
Abstract
Interactions between the splicing machinery and RNA polymerase II increase protein-coding gene transcription. Similarly, exons and splicing signals of enhancer-generated long noncoding RNAs (elncRNAs) augment enhancer activity. However, elncRNAs are inefficiently spliced, suggesting that, compared with protein-coding genes, they contain qualitatively different exons with a limited ability to drive splicing. We show here that the inefficiently spliced first exons of elncRNAs as well as promoter-antisense long noncoding RNAs (pa-lncRNAs) in human and mouse cells trigger a transcription termination checkpoint that requires WDR82, an RNA polymerase II-binding protein, and its RNA-binding partner of previously unknown function, ZC3H4. We propose that the first exons of elncRNAs and pa-lncRNAs are an intrinsic component of a regulatory mechanism that, on the one hand, maximizes the activity of these cis-regulatory elements by recruiting the splicing machinery and, on the other, contains elements that suppress pervasive extragenic transcription.
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28
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Ray SK, Mukherjee S. LncRNAs as Architects in Cancer Biomarkers with Interface of Epitranscriptomics- Incipient Targets in Cancer Therapy. Curr Cancer Drug Targets 2021; 21:416-427. [PMID: 33413062 DOI: 10.2174/1568009620666210106122421] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 11/22/2020] [Accepted: 11/23/2020] [Indexed: 11/22/2022]
Abstract
Long non-coding RNAs (LncRNAs) epitomize a class of non-coding regulatory RNAs with more than 200 nucleotides, which are long and situated in the nucleus or cytoplasm and rarely encode proteins. Accruing evidence signposts that lncRNAs act as molecular switches in different cellular activities like differentiation, apoptosis, as well as reprogramming of cellular states by modifying gene expression patterns. The revelation of immense numbers of lncRNA with their wide variety of expression patterns in different kinds of malignancy, tumor explicitness, and their steadiness in circulating body fluids deliver an innovative groundwork for emerging diagnosis and treatments for cancer. Mechanisms associating lncRNAs in carcinogenesis are conquered by deregulation of cellular signaling pathways and altered epitranscriptome along with their expression. Specified these attributes, it becomes clear that the improvement of new tools to identify lncRNAs with higher affectability will be fundamental to allow the identification of the expression pattern of lncRNAs in various kinds of malignant growth and may likewise be utilized to envisage cancer prognosis in addition to the patients' outcome. Improvement of RNA targeting-based therapeutics is delivering incredible prospects to modulate lncRNAs for anti-cancer initiatives. Henceforth, lncRNAs can be used exclusively as possible cancer biomarkers for early diagnosis and anticipation of malignancy, as well as metastasis. In addition to the basic curative targets and along these, lncRNAs hold resilient assurance towards the revelation of innovative diagnostics and therapeutics for malignant growth with the interface of epitranscriptomics information. This review aims to briefly discuss the latest findings regarding the roles and mechanisms of some important lncRNAs in the pathogenesis, regulation, and lncRNA-associated epigenetics of cancer along with targeting lncRNAs with potential approaches for impending diagnosis and therapeutic intervention in malignancies.
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Affiliation(s)
- Suman Kumar Ray
- Independent Researcher, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh-462020, India
| | - Sukhes Mukherjee
- Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh-462020, India
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29
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Abstract
Evidence accumulated over the past decade shows that long non-coding RNAs (lncRNAs) are widely expressed and have key roles in gene regulation. Recent studies have begun to unravel how the biogenesis of lncRNAs is distinct from that of mRNAs and is linked with their specific subcellular localizations and functions. Depending on their localization and their specific interactions with DNA, RNA and proteins, lncRNAs can modulate chromatin function, regulate the assembly and function of membraneless nuclear bodies, alter the stability and translation of cytoplasmic mRNAs and interfere with signalling pathways. Many of these functions ultimately affect gene expression in diverse biological and physiopathological contexts, such as in neuronal disorders, immune responses and cancer. Tissue-specific and condition-specific expression patterns suggest that lncRNAs are potential biomarkers and provide a rationale to target them clinically. In this Review, we discuss the mechanisms of lncRNA biogenesis, localization and functions in transcriptional, post-transcriptional and other modes of gene regulation, and their potential therapeutic applications.
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30
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Alexanian M, Ounzain S. Long Noncoding RNAs in Cardiac Development. Cold Spring Harb Perspect Biol 2020; 12:cshperspect.a037374. [PMID: 31932317 DOI: 10.1101/cshperspect.a037374] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The exquisite transcriptional control of developmental gene programs is critical for hardwiring the complex expression patterns that govern cell-fate determination and differentiation during heart development. During the past several years, studies have illuminated our understanding of a complex noncoding transcriptional landscape, primarily associated with long noncoding RNAs (lncRNAs), that is implicated in these developmental processes and has begun to reveal key functions of these transcripts. In this review, we discuss the expanding roles for lncRNAs in the earliest points of cardiac development and through differentiation and maturation of multiple cell types within the adult heart. We go on to outline the diverse mechanisms by which cardiovascular lncRNAs orchestrate these transcriptional programs, explore the challenges linked to the study of lncRNAs in developmental phenotypes, and summarize the implications for these molecules in human cardiovascular disorders.
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Affiliation(s)
| | - Samir Ounzain
- HAYA Therapeutics SA, Lausanne, Vaud 1066, Switzerland
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31
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Rzeszutek I, Singh A. Small RNAs, Big Diseases. Int J Mol Sci 2020; 21:E5699. [PMID: 32784829 PMCID: PMC7460979 DOI: 10.3390/ijms21165699] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 08/06/2020] [Accepted: 08/08/2020] [Indexed: 02/06/2023] Open
Abstract
The past two decades have seen extensive research done to pinpoint the role of microRNAs (miRNAs) that have led to discovering thousands of miRNAs in humans. It is not, therefore, surprising to see many of them implicated in a number of common as well as rare human diseases. In this review article, we summarize the progress in our understanding of miRNA-related research in conjunction with different types of cancers and neurodegenerative diseases, as well as their potential in generating more reliable diagnostic and therapeutic approaches.
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Affiliation(s)
- Iwona Rzeszutek
- Institute of Biology and Biotechnology, Department of Biotechnology, University of Rzeszow, Pigonia 1, 35-310 Rzeszow, Poland
| | - Aditi Singh
- Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
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32
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Qi X, Hu M, Xiang Y, Wang D, Xu Y, Hou Y, Zhou H, Luan Y, Wang Z, Zhang W, Li X, Zhao S, Zhao Y. LncRNAs are regulated by chromatin states and affect the skeletal muscle cell differentiation. Cell Prolif 2020; 53:e12879. [PMID: 32770602 PMCID: PMC7507427 DOI: 10.1111/cpr.12879] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 06/24/2020] [Accepted: 07/06/2020] [Indexed: 12/12/2022] Open
Abstract
Objective This study aims to clarify the mechanisms underlying transcriptional regulation and regulatory roles of lncRNAs in skeletal muscle cell differentiation. Methods We analysed the expression patterns of lncRNAs via time‐course RNA‐seq. Then, we further combined the ATAC‐seq and ChIP‐seq to investigate the governing mechanisms of transcriptional regulation of differentially expressed (DE) lncRNAs. Weighted correlation network analysis and GO analysis were conducted to identify the transcription factor (TF)‐lncRNA pairs related to skeletal muscle cell differentiation. Results We identified 385 DE lncRNAs during C2C12 differentiation, the transcription of which is determined by chromatin states around their transcriptional start sites. The TF‐lncRNA correlation network showed substantially concordant changes in DE lncRNAs between C2C12 differentiation and satellite cell rapid growth stages. Moreover, the up‐regulated lncRNAs showed a significant decrease following the differentiation capacity of satellite cells, which gradually declines during skeletal muscle development. Notably, inhibition of the lncRNA Atcayos and Trp53cor1 led to the delayed differentiation of satellite cells. Those lncRNAs were significantly up‐regulated during the rapid growth stage of satellite cells (4‐6 weeks) and down‐regulated with reduced differentiation capacity (8‐12 weeks). It confirms that these lncRNAs are positively associated with myogenic differentiation of satellite cells during skeletal muscle development. Conclusions This study extends the understanding of mechanisms governing transcriptional regulation of lncRNAs and provides a foundation for exploring their functions in skeletal muscle cell differentiation.
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Affiliation(s)
- Xiaolong Qi
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Mingyang Hu
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Yue Xiang
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Daoyuan Wang
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Yueyuan Xu
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Ye Hou
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Huanhuan Zhou
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Yu Luan
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Zhangxu Wang
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Weiya Zhang
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
| | - Xinyun Li
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Shuhong Zhao
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Yunxia Zhao
- Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China
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33
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Ntini E, Marsico A. Functional impacts of non-coding RNA processing on enhancer activity and target gene expression. J Mol Cell Biol 2020; 11:868-879. [PMID: 31169884 PMCID: PMC6884709 DOI: 10.1093/jmcb/mjz047] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/03/2019] [Accepted: 04/04/2019] [Indexed: 01/06/2023] Open
Abstract
Tight regulation of gene expression is orchestrated by enhancers. Through recent research advancements, it is becoming clear that enhancers are not solely distal regulatory elements harboring transcription factor binding sites and decorated with specific histone marks, but they rather display signatures of active transcription, showing distinct degrees of transcription unit organization. Thereby, a substantial fraction of enhancers give rise to different species of non-coding RNA transcripts with an unprecedented range of potential functions. In this review, we bring together data from recent studies indicating that non-coding RNA transcription from active enhancers, as well as enhancer-produced long non-coding RNA transcripts, may modulate or define the functional regulatory potential of the cognate enhancer. In addition, we summarize supporting evidence that RNA processing of the enhancer-associated long non-coding RNA transcripts may constitute an additional layer of regulation of enhancer activity, which contributes to the control and final outcome of enhancer-targeted gene expression.
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Affiliation(s)
- Evgenia Ntini
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,Free University Berlin, Berlin, Germany
| | - Annalisa Marsico
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,Free University Berlin, Berlin, Germany.,Institute of Computational Biology, Helmholtz Zentrum München, München, Germany
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34
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Matthews BJ, Waxman DJ. Impact of 3D genome organization, guided by cohesin and CTCF looping, on sex-biased chromatin interactions and gene expression in mouse liver. Epigenetics Chromatin 2020; 13:30. [PMID: 32680543 PMCID: PMC7368777 DOI: 10.1186/s13072-020-00350-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 07/03/2020] [Indexed: 12/13/2022] Open
Abstract
Several thousand sex-differential distal enhancers have been identified in mouse liver; however, their links to sex-biased genes and the impact of any sex-differences in nuclear organization and chromatin interactions are unknown. To address these issues, we first characterized 1847 mouse liver genomic regions showing significant sex differential occupancy by cohesin and CTCF, two key 3D nuclear organizing factors. These sex-differential binding sites were primarily distal to sex-biased genes but rarely generated sex-differential TAD (topologically associating domain) or intra-TAD loop anchors, and were sometimes found in TADs without sex-biased genes. A substantial subset of sex-biased cohesin-non-CTCF binding sites, but not sex-biased cohesin-and-CTCF binding sites, overlapped sex-biased enhancers. Cohesin depletion reduced the expression of male-biased genes with distal, but not proximal, sex-biased enhancers by >10-fold, implicating cohesin in long-range enhancer interactions regulating sex-biased genes. Using circularized chromosome conformation capture-based sequencing (4C-seq), we showed that sex differences in distal sex-biased enhancer-promoter interactions are common. Intra-TAD loops with sex-independent cohesin-and-CTCF anchors conferred sex specificity to chromatin interactions indirectly, by insulating sex-biased enhancer-promoter contacts and by bringing sex-biased genes into closer proximity to sex-biased enhancers. Furthermore, sex-differential chromatin interactions involving sex-biased gene promoters, enhancers, and lncRNAs were associated with sex-biased binding of cohesin and/or CTCF. These studies elucidate how 3D genome organization impacts sex-biased gene expression in a non-reproductive tissue through both direct and indirect effects of cohesin and CTCF looping on distal enhancer interactions with sex-differentially expressed genes.
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Affiliation(s)
- Bryan J Matthews
- Department of Biology and Bioinformatics Program, Boston University, 5 Cummington Mall, Boston, MA, 02215, USA
| | - David J Waxman
- Department of Biology and Bioinformatics Program, Boston University, 5 Cummington Mall, Boston, MA, 02215, USA.
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35
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Tan JY, Biasini A, Young RS, Marques AC. Splicing of enhancer-associated lincRNAs contributes to enhancer activity. Life Sci Alliance 2020; 3:3/4/e202000663. [PMID: 32086317 PMCID: PMC7035876 DOI: 10.26508/lsa.202000663] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 02/12/2020] [Accepted: 02/13/2020] [Indexed: 12/19/2022] Open
Abstract
Transcription is common at active mammalian enhancers sometimes giving rise to stable enhancer-associated long intergenic noncoding RNAs (elincRNAs). Expression of elincRNA is associated with changes in neighboring gene product abundance and local chromosomal topology, suggesting that transcription at these loci contributes to gene expression regulation in cis Despite the lack of evidence supporting sequence-dependent functions for most elincRNAs, splicing of these transcripts is unexpectedly common. Whether elincRNA splicing is a mere consequence of cognate enhancer activity or if it directly impacts enhancer function remains unresolved. Here, we investigate the association between elincRNA splicing and enhancer activity in mouse embryonic stem cells. We show that multi-exonic elincRNAs are enriched at conserved enhancers, and the efficient processing of elincRNAs is strongly associated with their cognate enhancer activity. This association is supported by their enrichment in enhancer-specific chromatin signatures; elevated binding of co-transcriptional regulators; increased local intra-chromosomal DNA contacts; and strengthened cis-regulation on target gene expression. Our results support the role of efficient RNA processing of enhancer-associated transcripts to cognate enhancer activity.
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Affiliation(s)
- Jennifer Y Tan
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Adriano Biasini
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Robert S Young
- Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ana C Marques
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
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36
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Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Commun Biol 2020; 3:56. [PMID: 32024996 PMCID: PMC7002399 DOI: 10.1038/s42003-019-0741-7] [Citation(s) in RCA: 127] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 08/31/2018] [Indexed: 12/14/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for a resource of lncRNAs with validated cancer roles. Furthermore, it remains debated whether mutated lncRNAs can drive tumorigenesis, and whether such functions could be conserved during evolution. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we introduce the Cancer LncRNA Census (CLC), a compilation of 122 GENCODE lncRNAs with causal roles in cancer phenotypes. In contrast to existing databases, CLC requires strong functional or genetic evidence. CLC genes are enriched amongst driver genes predicted from somatic mutations, and display characteristic genomic features. Strikingly, CLC genes are enriched for driver mutations from unbiased, genome-wide transposon-mutagenesis screens in mice. We identified 10 tumour-causing mutations in orthologues of 8 lncRNAs, including LINC-PINT and NEAT1, but not MALAT1. Thus CLC represents a dataset of high-confidence cancer lncRNAs. Mutagenesis maps are a novel means for identifying deeply-conserved roles of lncRNAs in tumorigenesis.
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37
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Darbellay F, Necsulea A. Comparative Transcriptomics Analyses across Species, Organs, and Developmental Stages Reveal Functionally Constrained lncRNAs. Mol Biol Evol 2020; 37:240-259. [PMID: 31539080 PMCID: PMC6984365 DOI: 10.1093/molbev/msz212] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The functionality of long noncoding RNAs (lncRNAs) is disputed. In general, lncRNAs are under weak selective pressures, suggesting that the majority of lncRNAs may be nonfunctional. However, although some surveys showed negligible phenotypic effects upon lncRNA perturbation, key biological roles were demonstrated for individual lncRNAs. Most lncRNAs with proven functions were implicated in gene expression regulation, in pathways related to cellular pluripotency, differentiation, and organ morphogenesis, suggesting that functional lncRNAs may be more abundant in embryonic development, rather than in adult organs. To test this hypothesis, we perform a multidimensional comparative transcriptomics analysis, across five developmental time points (two embryonic stages, newborn, adult, and aged individuals), four organs (brain, kidney, liver, and testes), and three species (mouse, rat, and chicken). We find that, overwhelmingly, lncRNAs are preferentially expressed in adult and aged testes, consistent with the presence of permissive transcription during spermatogenesis. LncRNAs are often differentially expressed among developmental stages and are less abundant in embryos and newborns compared with adult individuals, in agreement with a requirement for tighter expression control and less tolerance for noisy transcription early in development. For differentially expressed lncRNAs, we find that the patterns of expression variation among developmental stages are generally conserved between mouse and rat. Moreover, lncRNAs expressed above noise levels in somatic organs and during development show higher evolutionary conservation, in particular, at their promoter regions. Thus, we show that functionally constrained lncRNA loci are enriched in developing organs, and we suggest that many of these loci may function in an RNA-independent manner.
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Affiliation(s)
- Fabrice Darbellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Anamaria Necsulea
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.,Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Université de Lyon, Université Lyon 1, Villeurbanne, France
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38
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Jiang S, Cheng SJ, Ren LC, Wang Q, Kang YJ, Ding Y, Hou M, Yang XX, Lin Y, Liang N, Gao G. An expanded landscape of human long noncoding RNA. Nucleic Acids Res 2019; 47:7842-7856. [PMID: 31350901 PMCID: PMC6735957 DOI: 10.1093/nar/gkz621] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 06/18/2019] [Accepted: 07/11/2019] [Indexed: 12/21/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are emerging as key regulators of multiple essential biological processes involved in physiology and pathology. By analyzing the largest compendium of 14,166 samples from normal and tumor tissues, we significantly expand the landscape of human long noncoding RNA with a high-quality atlas: RefLnc (Reference catalog of LncRNA). Powered by comprehensive annotation across multiple sources, RefLnc helps to pinpoint 275 novel intergenic lncRNAs correlated with sex, age or race as well as 369 novel ones associated with patient survival, clinical stage, tumor metastasis or recurrence. Integrated in a user-friendly online portal, the expanded catalog of human lncRNAs provides a valuable resource for investigating lncRNA function in both human biology and cancer development.
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Affiliation(s)
- Shuai Jiang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Si-Jin Cheng
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Li-Chen Ren
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Qian Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Yu-Jian Kang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Yang Ding
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Mei Hou
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Xiao-Xu Yang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Yuan Lin
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Nan Liang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
| | - Ge Gao
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing 100871, China
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39
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Gil N, Ulitsky I. Regulation of gene expression by cis-acting long non-coding RNAs. Nat Rev Genet 2019; 21:102-117. [DOI: 10.1038/s41576-019-0184-5] [Citation(s) in RCA: 296] [Impact Index Per Article: 59.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2019] [Indexed: 12/14/2022]
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40
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Chow EYC, Zhang J, Qin H, Chan TF. Characterization of Hepatocellular Carcinoma Cell Lines Using a Fractionation-Then-Sequencing Approach Reveals Nuclear-Enriched HCC-Associated lncRNAs. Front Genet 2019; 10:1081. [PMID: 31781161 PMCID: PMC6857473 DOI: 10.3389/fgene.2019.01081] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 10/09/2019] [Indexed: 12/13/2022] Open
Abstract
Background: Advances in sequencing technologies have greatly improved our understanding of long noncoding RNA (lncRNA). These transcripts with lengths of >200 nucleotides may play significant regulatory roles in various biological processes. Importantly, the dysregulation of better characterized lncRNAs has been associated with multiple types of cancers, including hepatocellular carcinoma (HCC). There are many studies on altered lncRNA expression levels, very few, however, have focused on their subcellular localizations, from which accumulating evidences have indicated their close relationships to lncRNA functions. A transcriptome-wide investigation of the subcellular distributions of lncRNAs might thus provide new insights into their roles and functions in cancers. Results: In this study, we subjected eight patient-derived HCC cell lines to subcellular fractionation and independently sequenced RNAs from the nuclear and cytoplasmic compartments. With the integration of tumor and tumor-adjacent RNA-seq datasets of liver hepatocellular carcinoma (LIHC) from The Cancer Genome Atlas (TCGA), de novo transcriptome assembly and differential expression analysis were conducted successively and identified 26 nuclear-enriched HCC-associated lncRNAs shared between the HCC samples and the TCGA datasets, including the reported cancer driver PXN-AS1. The majority of nuclear-enriched HCC-associated lncRNAs were associated with the survival outcomes of HCC patients, exhibited characteristics similar to those of many experimentally supported HCC prognostic lncRNAs, and were co-expressed with protein-coding genes that have been linked to disease progression in various cancer types. Conclusion: We adopted a fractionation-then-sequencing approach on multiple patient-derived HCC samples and identified nuclear-enriched, HCC-associated lncRNAs that could serve as important targets for HCC diagnosis and therapeutic development. This approach could be widely applicable to other studies into the disease etiologies of lncRNA.
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Affiliation(s)
| | - Jizhou Zhang
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Hao Qin
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Ting-Fung Chan
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.,State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong
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41
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Rennie S, Dalby M, Lloret-Llinares M, Bakoulis S, Dalager Vaagensø C, Heick Jensen T, Andersson R. Transcription start site analysis reveals widespread divergent transcription in D. melanogaster and core promoter-encoded enhancer activities. Nucleic Acids Res 2019; 46:5455-5469. [PMID: 29659982 PMCID: PMC6009668 DOI: 10.1093/nar/gky244] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 03/22/2018] [Indexed: 12/19/2022] Open
Abstract
Mammalian gene promoters and enhancers share many properties. They are composed of a unified promoter architecture of divergent transcripton initiation and gene promoters may exhibit enhancer function. However, it is currently unclear how expression strength of a regulatory element relates to its enhancer strength and if the unifying architecture is conserved across Metazoa. Here we investigate the transcription initiation landscape and its associated RNA decay in Drosophila melanogaster. We find that the majority of active gene-distal enhancers and a considerable fraction of gene promoters are divergently transcribed. We observe quantitative relationships between enhancer potential, expression level and core promoter strength, providing an explanation for indirectly related histone modifications that are reflecting expression levels. Lowly abundant unstable RNAs initiated from weak core promoters are key characteristics of gene-distal developmental enhancers, while the housekeeping enhancer strengths of gene promoters reflect their expression strengths. The seemingly separable layer of regulation by gene promoters with housekeeping enhancer potential is also indicated by chromatin interaction data. Our results suggest a unified promoter architecture of many D. melanogaster regulatory elements, that is universal across Metazoa, whose regulatory functions seem to be related to their core promoter elements.
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Affiliation(s)
- Sarah Rennie
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Maria Dalby
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Marta Lloret-Llinares
- Department of Molecular Biology and Genetics, Aarhus University, C.F. Møllers Allé 3, Building 1130, 8000 Aarhus C, Denmark
| | - Stylianos Bakoulis
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Christian Dalager Vaagensø
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Torben Heick Jensen
- Department of Molecular Biology and Genetics, Aarhus University, C.F. Møllers Allé 3, Building 1130, 8000 Aarhus C, Denmark
| | - Robin Andersson
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
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42
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Carlevaro-Fita J, Johnson R. Global Positioning System: Understanding Long Noncoding RNAs through Subcellular Localization. Mol Cell 2019; 73:869-883. [PMID: 30849394 DOI: 10.1016/j.molcel.2019.02.008] [Citation(s) in RCA: 194] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 01/30/2019] [Accepted: 02/05/2019] [Indexed: 02/09/2023]
Abstract
The localization of long noncoding RNAs (lncRNAs) within the cell is the primary determinant of their molecular functions. LncRNAs are often thought of as chromatin-restricted regulators of gene transcription and chromatin structure. However, a rich population of cytoplasmic lncRNAs has come to light, with diverse roles including translational regulation, signaling, and respiration. RNA maps of increasing resolution and scope are revealing a subcellular world of highly specific localization patterns and hint at sequence-based address codes specifying lncRNA fates. We propose a new framework for analyzing sequencing-based data, which suggests that numbers of cytoplasmic lncRNA molecules rival those in the nucleus. New techniques promise to create high-resolution, transcriptome-wide maps associated with all organelles of the mammalian cell. Given its intimate link to molecular roles, subcellular localization provides a means of unlocking the mystery of lncRNA functions.
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Affiliation(s)
- Joana Carlevaro-Fita
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland.
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43
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Epigenetic therapies in heart failure. J Mol Cell Cardiol 2019; 130:197-204. [PMID: 30991033 DOI: 10.1016/j.yjmcc.2019.04.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 04/10/2019] [Accepted: 04/12/2019] [Indexed: 12/20/2022]
Abstract
Heart failure (HF) is a dominant cause of morbidity and mortality in the developed world, with available pharmacotherapies limited by high rates of residual mortality and a failure to directly target the changes in cell state that drive adverse cardiac remodeling. Pathologic cardiac remodeling is driven by stress-activated cardiac signaling cascades that converge on defined components of the chromatin regulatory apparatus in the nucleus, triggering broad shifts in transcription and cell state. Thus, studies focusing on how cytosolic signaling pathways couple to the nuclear gene control machinery has been an area of therapeutic interest in HF. In this review, we discuss current concepts pertaining to the role of chromatin regulators in HF pathogenesis, with a focus on specific proteins and RNA-containing macromolecular complexes that have shown promise as druggable targets in the experimental setting.
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44
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Ajekigbe B, Cheung K, Xu Y, Skelton A, Panagiotopoulos A, Soul J, Hardingham T, Deehan D, Barter M, Young D. Identification of long non-coding RNAs expressed in knee and hip osteoarthritic cartilage. Osteoarthritis Cartilage 2019; 27:694-702. [PMID: 30611906 PMCID: PMC6444060 DOI: 10.1016/j.joca.2018.12.015] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 12/06/2018] [Accepted: 12/24/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Long intergenic non-coding RNAs (lincRNAs) are emerging as key regulators in gene expression; however, little is known about the lincRNA expression changes that occur in osteoarthritis (OA). Here we aimed to define a transcriptome of lncRNAs in OA cartilage, specifically comparing the lincRNA transcriptome of knee and hip cartilage. METHOD RNA-seq was performed on nucleic acid extracted from hip cartilage from patients undergoing joint replacement surgery because of either OA (n = 10) or because of a neck of femur fracture (NOF; n = 6). After transcript alignment, counts were performed using Salmon and differential expression for ENSEMBL lincRNAs determined using DESeq2. Hip RNA-seq lincRNA expression was compared to a knee dataset (ArrayExpress; E-MTAB-4304). ChIP-seq data from ENCODE was used to determine whether lincRNAs were associated with promoters (plncRNA) or unidirectional enhancer-like regulatory elements (elncRNAs). RESULTS Our analysis of the hip transcriptome identified 1692 expressed Transcripts Per Million (TPM ≥1) Ensembl lincRNAs, of which 198 were significantly (FDR ≤0.05) differentially expressed in OA vs normal (NOF) cartilage. Similar analysis of knee cartilage transcriptome identified 648 Emsembl lincRNAs with 93 significantly (FDR ≤0.05) differentially expressed in intact vs damaged cartilage. In total, 1834 lincRNAs were expressed in both hip and knee cartilage, with a highly significant correlation in expression between the two cartilages. CONCLUSION This is the first study to use RNA-seq to map and compare the lincRNA transcriptomes of hip and knee cartilage. We propose that lincRNAs expressed selectively in cartilage, or showing differential expression in OA, will play a role in cartilage homoeostasis.
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Affiliation(s)
- B. Ajekigbe
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK
| | - K. Cheung
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK,Faculty of Medical Sciences, Bioinformatics Support Unit, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Y. Xu
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK
| | - A.J. Skelton
- Faculty of Medical Sciences, Bioinformatics Support Unit, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - A. Panagiotopoulos
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK
| | - J. Soul
- Wellcome Trust Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT, UK
| | - T.E. Hardingham
- Wellcome Trust Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT, UK
| | - D.J. Deehan
- Freeman Hospital, Orthopaedics, Freeman Road, High Heaton, Newcastle Upon Tyne, NE7 7DN, UK
| | - M.J. Barter
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK
| | - D.A. Young
- Skeletal Research Group, Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ, UK,Address correspondence and reprint requests to: D.A. Young, Institute of Genetic Medicine, Central Parkway, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK. Tel: 44-191-2418831.
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45
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Lei L, Xia S, Liu D, Li X, Feng J, Zhu Y, Hu J, Xia L, Guo L, Chen F, Cheng H, Chen K, Hu H, Chen X, Li F, Zhong S, Mittal N, Yang G, Qian Z, Han L, He C. Genome-wide characterization of lncRNAs in acute myeloid leukemia. Brief Bioinform 2019; 19:627-635. [PMID: 28203711 DOI: 10.1093/bib/bbx007] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Indexed: 12/18/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are a large family of noncoding RNAs that play a critical role in various normal bioprocesses as well as tumorigenesis. However, the expression patterns and biological functions of lncRNAs in acute leukemia have not been well studied. Here, we performed transcriptome-wide lncRNA expression profiling of acute myeloid leukemia (AML) patient samples, along with non-leukemia control hematopoietic samples. We found that lncRNAs were differentially expressed in AML samples relative to control samples. Notably, we identified that lncRNAs upregulated in AML (relative to the control samples) are associated with a lower degree of DNA methylation and a higher ratio of being bound by transcription factors such as SP1, STAT4, ATF-2 and ELK-1 compared with those downregulated in AML. Moreover, an enrichment of H3K4me3 and a depletion of H3K27me3 were observed in upregulated lncRNAs in AML. Expression patterns of three types of lncRNAs (antisense, enhancer and intergenic lncRNAs) have previously been characterized. Of the identified lncRNAs, we found that high expression level lncRNA LOC285758 is associated with the poor prognosis in AML patients. Furthermore, we found that LOC285758 regulates proliferation of AML cell lines by enhancing the expression of HDAC2, a key factor in carcinogenesis. Collectively, our study depicts a landscape of important lncRNAs in AML and provides novel potential therapeutic targets and prognostic markers for AML treatment.
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Affiliation(s)
- Lijun Lei
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Siyu Xia
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Dan Liu
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Xiaoqing Li
- Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, China
| | - Jing Feng
- International School of Software, Wuhan University, Wuhan, China
| | - Yaqi Zhu
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Jun Hu
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Linjian Xia
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Lieping Guo
- Physician in Eastern Hepatobiliary Hospital, Hospital of Second Military Medical University, Wuhan, Hubei, China
| | - Fei Chen
- Zhongnan hospital of Wuhan University, Wuhan, China
| | - Hui Cheng
- Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Ke Chen
- Department of Medicine and Cancer Research Center, University of Illinois at Chicago, Chicago, USA
| | - Hanyang Hu
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Xiaohua Chen
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | | | - Shan Zhong
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Nupur Mittal
- Department of Medicine and Cancer Research Center, University of Illinois at Chicago, Chicago, USA
| | - Guohua Yang
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Zhijian Qian
- Department of Medicine and Cancer Research Center, University of Illinois at Chicago, Chicago, USA
| | - Leng Han
- Department of Biochemistry and Molecular Biology, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Chunjiang He
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
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46
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Mattioli K, Volders PJ, Gerhardinger C, Lee JC, Maass PG, Melé M, Rinn JL. High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity. Genome Res 2019; 29:344-355. [PMID: 30683753 PMCID: PMC6396428 DOI: 10.1101/gr.242222.118] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 01/17/2019] [Indexed: 12/01/2022]
Abstract
Transcription initiates at both coding and noncoding genomic elements, including mRNA and long noncoding RNA (lncRNA) core promoters and enhancer RNAs (eRNAs). However, each class has a different expression profile with lncRNAs and eRNAs being the most tissue specific. How these complex differences in expression profiles and tissue specificities are encoded in a single DNA sequence remains unresolved. Here, we address this question using computational approaches and massively parallel reporter assays (MPRA) surveying hundreds of promoters and enhancers. We find that both divergent lncRNA and mRNA core promoters have higher capacities to drive transcription than nondivergent lncRNA and mRNA core promoters, respectively. Conversely, intergenic lncRNAs (lincRNAs) and eRNAs have lower capacities to drive transcription and are more tissue specific than divergent genes. This higher tissue specificity is strongly associated with having less complex transcription factor (TF) motif profiles at the core promoter. We experimentally validated these findings by testing both engineered single-nucleotide deletions and human single-nucleotide polymorphisms (SNPs) in MPRA. In both cases, we observe that single nucleotides associated with many motifs are important drivers of promoter activity. Thus, we suggest that high TF motif density serves as a robust mechanism to increase promoter activity at the expense of tissue specificity. Moreover, we find that 22% of common SNPs in core promoter regions have significant regulatory effects. Collectively, our findings show that high TF motif density provides redundancy and increases promoter activity at the expense of tissue specificity, suggesting that specificity of expression may be regulated by simplicity of motif usage.
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Affiliation(s)
- Kaia Mattioli
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Department of Biological and Biomedical Sciences, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Pieter-Jan Volders
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Department of Biomolecular Medicine, Ghent University, 9000 Ghent, Belgium.,VIB-UGent Center for Medical Biotechnology, VIB, 9000 Ghent, Belgium
| | - Chiara Gerhardinger
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - James C Lee
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Department of Medicine, University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Philipp G Maass
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Genetics and Genome Biology Program, Sickkids Research Institute, Toronto, Ontario M5G 0A4, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Marta Melé
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia 08034, Spain
| | - John L Rinn
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA.,Department of Biochemistry, University of Colorado, BioFrontiers Institute, Boulder, Colorado 80301, USA
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Chowdhury IH, Narra HP, Sahni A, Khanipov K, Fofanov Y, Sahni SK. Enhancer Associated Long Non-coding RNA Transcription and Gene Regulation in Experimental Models of Rickettsial Infection. Front Immunol 2019; 9:3014. [PMID: 30687302 PMCID: PMC6333757 DOI: 10.3389/fimmu.2018.03014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 12/05/2018] [Indexed: 12/20/2022] Open
Abstract
Recent discovery that much of the mammalian genome does not encode protein-coding genes (PCGs) has brought widespread attention to long noncoding RNAs (lncRNAs) as a novel layer of biological regulation. Enhancer lnc (elnc) RNAs from the enhancer regions of the genome carry the capacity to regulate PCGs in cis or in trans. Spotted fever rickettsioses represent the consequence of host infection with Gram-negative, obligate intracellular bacteria in the Genus Rickettsia. Despite being implicated in the pathways of infection and inflammation, the roles of lncRNAs in host response to Rickettsia species have remained a mystery. We have profiled the expression of host lncRNAs during infection of susceptible mice with R. conorii as a model closely mimicking the pathogenesis of human spotted fever rickettsioses. RNA sequencing on the lungs of infected hosts yielded reads mapping to 74,964 non-coding RNAs, 206 and 277 of which were determined to be significantly up- and down-regulated, respectively, in comparison to uninfected controls. Following removal of short non-coding RNAs and ambiguous transcripts, remaining transcripts underwent in-depth analysis of mouse lung epigenetic signatures H3K4Me1 and H3K4Me3, active transcript markers (POLR2A, p300, CTCF), and DNaseI hypersensitivity sites to identify two potentially active and highly up-regulated elncRNAs NONMMUT013718 and NONMMUT024103. Using Hi-3C sequencing resource, we further determined that genomic loci of NONMMUT013718 and NONMMUT024103 might interact with and regulate the expression of nearby PCGs, namely Id2 (inhibitor of DNA binding 2) and Apol10b (apolipoprotein 10b), respectively. Heterologous reporter assays confirmed the activity of elncRNAs as the inducers of their predicted PCGs. In the lungs of infected mice, expression of both elncRNAs and their targets was significantly higher than mock-infected controls. Induced expression of NONMMUT013718/Id2 in murine macrophages and NONMMUT024103/Apol10b in endothelial cells was also clearly evident during R. conorii infection in vitro. Finally, shRNA mediated knock-down of NONMMUT013718 and NONMMUT024103 elncRNAs resulted in reduced expression of endogenous Id2 and Apl10b, demonstrating the regulatory roles of these elncRNAs on their target PCGs. Our results provide very first experimental evidence suggesting altered expression of pulmonary lncRNAs and elncRNA-mediated regulation of PCGs involved in immunity and during host interactions with pathogenic rickettsiae.
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Affiliation(s)
- Imran H Chowdhury
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
| | - Hema P Narra
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
| | - Abha Sahni
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States.,Institute for Human Infections and Immunity, University of Texas Medical Branch, University Boulevard, Galveston, TX, United States
| | - Kamil Khanipov
- Department of Pharmacology, University of Texas Medical Branch, University Boulevard, Galveston, TX, United States
| | - Yuriy Fofanov
- Department of Pharmacology, University of Texas Medical Branch, University Boulevard, Galveston, TX, United States
| | - Sanjeev K Sahni
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States.,Institute for Human Infections and Immunity, University of Texas Medical Branch, University Boulevard, Galveston, TX, United States
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48
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Huang P, Li F, Li L, You Y, Luo S, Dong Z, Gao Q, Wu S, Brünner N, Stenvang J. lncRNA profile study reveals the mRNAs and lncRNAs associated with docetaxel resistance in breast cancer cells. Sci Rep 2018; 8:17970. [PMID: 30568280 PMCID: PMC6299474 DOI: 10.1038/s41598-018-36231-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 11/13/2018] [Indexed: 02/07/2023] Open
Abstract
Resistance to adjuvant systemic treatment, including taxanes (docetaxel and paclitaxel) is a major clinical problem for breast cancer patients. lncRNAs (long non-coding RNAs) are non-coding transcripts, which have recently emerged as important players in a variety of biological processes, including cancer development and chemotherapy resistance. However, the contribution of lncRNAs to docetaxel resistance in breast cancer and the relationship between lncRNAs and taxane-resistance genes are still unclear. Here, we performed comprehensive RNA sequencing and analyses on two docetaxel-resistant breast cancer cell lines (MCF7-RES and MDA-RES) and their docetaxel-sensitive parental cell lines. We identified protein coding genes and pathways that may contribute to docetaxel resistance. More importantly, we identified lncRNAs that were consistently up-regulated or down-regulated in both the MCF7-RES and MDA-RES cells. The co-expression network and location analyses pinpointed four overexpressed lncRNAs located within or near the ABCB1 (ATP-binding cassette subfamily B member 1) locus, which might up-regulate the expression of ABCB1. We also identified the lncRNA EPB41L4A-AS2 (EPB41L4A Antisense RNA 2) as a potential biomarker for docetaxel sensitivity. These findings have improved our understanding of the mechanisms underlying docetaxel resistance in breast cancer and have provided potential biomarkers to predict the response to docetaxel in breast cancer patients.
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Affiliation(s)
- Peide Huang
- Section of Pharmacotherapy, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Fengyu Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Lin Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yuling You
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Shizhi Luo
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Qiang Gao
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Song Wu
- The Affiliated Luohu Hospital of Shenzhen University, Shenzhen Luohu Hospital Group, Shenzhen, China.
| | - Nils Brünner
- Section of Pharmacotherapy, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark.
| | - Jan Stenvang
- Section of Pharmacotherapy, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark.
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49
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Production of Spliced Long Noncoding RNAs Specifies Regions with Increased Enhancer Activity. Cell Syst 2018; 7:537-547.e3. [PMID: 30447999 DOI: 10.1016/j.cels.2018.10.009] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 09/12/2018] [Accepted: 10/16/2018] [Indexed: 12/28/2022]
Abstract
Active enhancers in mammals produce enhancer RNAs (eRNAs) that are bidirectionally transcribed, unspliced, and unstable. Enhancer regions are also enriched with long noncoding RNA (lncRNA) transcripts, which are typically spliced and substantially more stable. In order to explore the relationship between these two classes of RNAs, we analyzed DNase hypersensitive sites with evidence of bidirectional transcription, which we termed eRNA-producing centers (EPCs). EPCs found very close to transcription start sites of lncRNAs exhibit attributes of both enhancers and promoters, including distinctive DNA motifs and a characteristic chromatin landscape. These EPCs are associated with higher enhancer activity, driven at least in part by the presence of conserved, directional splicing signals that promote lncRNA production, pointing at a causal role of lncRNA processing in enhancer activity. Together, our results suggest that the conserved ability of some enhancers to produce lncRNAs augments their activity in a manner likely mediated through lncRNA maturation.
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50
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Kaikkonen MU, Adelman K. Emerging Roles of Non-Coding RNA Transcription. Trends Biochem Sci 2018; 43:654-667. [DOI: 10.1016/j.tibs.2018.06.002] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 05/07/2018] [Accepted: 06/03/2018] [Indexed: 12/14/2022]
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