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Soles LV, Liu L, Zou X, Yoon Y, Li S, Tian L, Valdez M, Yu AM, Yin H, Li W, Ding F, Seelig G, Li L, Shi Y. A nuclear RNA degradation code is recognized by PAXT for eukaryotic transcriptome surveillance. Mol Cell 2025; 85:1575-1588.e9. [PMID: 40187348 PMCID: PMC12010247 DOI: 10.1016/j.molcel.2025.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 01/09/2025] [Accepted: 03/07/2025] [Indexed: 04/07/2025]
Abstract
The RNA exosome plays critical roles in eukaryotic RNA degradation, but how it specifically recognizes its targets remains unclear. The poly(A) tail exosome targeting (PAXT) connection is a nuclear adaptor that recruits the exosome to polyadenylated RNAs, especially transcripts polyadenylated at intronic poly(A) sites. Here, we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site (ss) and a poly(A) junction (PAJ) but not by either sequence alone. These sequences are bound by U1 small nuclear ribonucleoprotein particle (snRNP) and cleavage/polyadenylation factors, which, in turn, cooperatively recruit PAXT. As the 5' ss-PAJ combination is typically absent on correctly processed RNAs, it functions as a "nuclear RNA degradation code" (NRDC). Importantly, disease-associated single nucleotide polymorphisms that create novel 5' ss in 3' untranslated regions can induce aberrant mRNA degradation via the NRDC mechanism. Together, our study identified the first NRDC, revealed its recognition mechanism, and characterized its role in human diseases.
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Affiliation(s)
- Lindsey V Soles
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Liang Liu
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Xudong Zou
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Shuangyu Li
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Lusong Tian
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Marielle Valdez
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Angela M Yu
- Therapeutic Innovation Center (THINC), and Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, TX, USA
| | - Hong Yin
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92617, USA
| | - Wei Li
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92617, USA; The Center for RNA Science and Therapeutics, University of California, Irvine, Irvine, CA 92697, USA
| | - Fangyuan Ding
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92617, USA; The Center for RNA Science and Therapeutics, University of California, Irvine, Irvine, CA 92697, USA
| | - Georg Seelig
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA 98195, USA
| | - Lei Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China
| | - Yongsheng Shi
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA; The Center for RNA Science and Therapeutics, University of California, Irvine, Irvine, CA 92697, USA.
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2
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Baluapuri A, Zhao NC, Marina RJ, Huang KL, Kuzkina A, Amodeo ME, Stein CB, Ahn LY, Farr JS, Schaffer AE, Khurana V, Wagner EJ, Adelman K. Integrator loss leads to dsRNA formation that triggers the integrated stress response. Cell 2025:S0092-8674(25)00343-5. [PMID: 40233738 DOI: 10.1016/j.cell.2025.03.025] [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: 06/18/2024] [Revised: 12/16/2024] [Accepted: 03/13/2025] [Indexed: 04/17/2025]
Abstract
Integrator (INT) is a metazoan-specific complex that targets promoter-proximally paused RNA polymerase II (RNAPII) for termination, preventing immature RNAPII from entering gene bodies and functionally attenuating transcription of stress-responsive genes. Mutations in INT subunits are associated with many human diseases, including cancer, ciliopathies, and neurodevelopmental disorders, but how reduced INT activity contributes to disease is unknown. Here, we demonstrate that the loss of INT-mediated termination in human cells triggers the integrated stress response (ISR). INT depletion causes upregulation of short genes such as the ISR transcription factor activating transcription factor 3 (ATF3). Further, immature RNAPII that escapes into genes upon INT depletion is prone to premature termination, generating incomplete pre-mRNAs with retained introns. Retroelements within retained introns form double-stranded RNA (dsRNA) that is recognized by protein kinase R (PKR), which drives ATF4 activation and prolonged ISR. Critically, patient cells with INT mutations exhibit dsRNA accumulation and ISR activation, thereby implicating chronic ISR in diseases caused by INT deficiency.
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Affiliation(s)
- Apoorva Baluapuri
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA; The Eli and Edythe L. Broad Institute, Cambridge, MA 02142, USA
| | - Nicole ChenCheng Zhao
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Ryan J Marina
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA
| | - Kai-Lieh Huang
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Anastasia Kuzkina
- APDA Center for Advanced Research, Division of Motor Disorders and Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Maria E Amodeo
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Chad B Stein
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Lucie Y Ahn
- Department of Genetics and Genome Sciences and Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Jordan S Farr
- Department of Genetics and Genome Sciences and Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Ashleigh E Schaffer
- Department of Genetics and Genome Sciences and Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Vikram Khurana
- The Eli and Edythe L. Broad Institute, Cambridge, MA 02142, USA; APDA Center for Advanced Research, Division of Motor Disorders and Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric J Wagner
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Karen Adelman
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA; The Eli and Edythe L. Broad Institute, Cambridge, MA 02142, USA; Ludwig Center at Harvard, Boston, MA 02115, USA.
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He Z, Wu N, Yao R, Tan H, Sun Y, Chen J, Xue L, Chen X, Yang S, Hurst LD, Wang L, Huang J. RID is required for both repeat-induced point mutation and nucleation of a novel transitional heterochromatic state for euchromatic repeats. Nucleic Acids Res 2025; 53:gkaf263. [PMID: 40183634 PMCID: PMC11969663 DOI: 10.1093/nar/gkaf263] [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: 11/08/2024] [Revised: 03/15/2025] [Accepted: 03/21/2025] [Indexed: 04/05/2025] Open
Abstract
To maintain genome integrity, repeat sequences are subject to heterochromatin inactivation and, in Neurospora, repeat-induced point mutation (RIP). The initiating factors behind both are poorly understood. We resolve the paradoxical observation that newly introduced Repeat-Linker-Repeat (R-L-R) constructs require RID alone for RIP, while genomic repeats are RIPed in the absence of RID, showing that eu- and hetero- chromatic repeats are handled differently, the latter additionally requiring DIM-2. The differences between mechanisms associated with older and newer duplicates caution against extrapolation from mechanisms inferred from model experimental systems. Additionally, while chromatin status affects RIP, we also show that RID, when tethered with LexA, acts as a nucleation center for the transition from euchromatin to heterochromatin in an HDA-1 dependent fashion. Constitutive heterochromatin by contrast is largely HDA1 independent and depends on HDA-1 paralogs. RID is thus a dual function initiator of both RIP and the transition to heterochromatin.
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Affiliation(s)
- Zhen He
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Nannan Wu
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Ruonan Yao
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Huawei Tan
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yingying Sun
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Jingxuan Chen
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Lan Xue
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Xiaonan Chen
- School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Sihai Yang
- School of Life Sciences, Nanjing University, Nanjing 210023, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210000, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China
| | - Laurence D Hurst
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Long Wang
- School of Life Sciences, Nanjing University, Nanjing 210023, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China
| | - Ju Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Bioinformatics Center, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China
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Pitolli C, Marini A, Sette C, Pagliarini V. Physiological and pathological roles of the transcriptional kinases CDK12 and CDK13 in the central nervous system. Cell Death Differ 2025; 32:371-381. [PMID: 39533070 PMCID: PMC11893892 DOI: 10.1038/s41418-024-01413-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 10/29/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024] Open
Abstract
The cyclin-dependent kinases 12 (CDK12) and 13 (CDK13) govern several steps of gene expression, including transcription, RNA processing and translation. The main target of CDK12/13 is the serine 2 residue of the carboxy-terminal domain of RNA polymerase II (RNAPII), thus influencing the directionality, elongation rate and processivity of the enzyme. The CDK12/13-dependent regulation of RNAPII activity influences the expression of selected target genes with important functional roles in the proliferation and viability of all eukaryotic cells. Neuronal cells are particularly affected by the loss of CDK12/13, as result of the high dependency of neuronal genes on RNAPII processivity for their expression. Deregulation of CDK12/13 activity strongly affects brain physiology by influencing the stemness potential and differentiation properties of neuronal precursor cells. Moreover, mounting evidence also suggest the involvement of CDK12/13 in brain tumours. Herein, we discuss the functional role(s) of CDK12 and CDK13 in gene expression regulation and highlight similarities and differences between these highly homologous kinases, with particular attention to their impact on brain physiology and pathology. Lastly, we provide an overview of CDK12/13 inhibitors and of their efficacy in brain tumours and other neoplastic diseases.
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Affiliation(s)
- Consuelo Pitolli
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Heart, 00168, Rome, Italy
| | - Alberto Marini
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Heart, 00168, Rome, Italy
- GSTEP-Organoids Research Core Facility, IRCCS Fondazione Policlinico Universitario Agostino Gemelli, 00168, Rome, Italy
- Saint Camillus International University of Health and Medical Sciences, 00131, Rome, Italy
| | - Claudio Sette
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Heart, 00168, Rome, Italy.
- GSTEP-Organoids Research Core Facility, IRCCS Fondazione Policlinico Universitario Agostino Gemelli, 00168, Rome, Italy.
| | - Vittoria Pagliarini
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Heart, 00168, Rome, Italy.
- GSTEP-Organoids Research Core Facility, IRCCS Fondazione Policlinico Universitario Agostino Gemelli, 00168, Rome, Italy.
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Szymański M, Bonowicz K, Jerka D, Gagat M, Antosik P. Prognostic Evaluation and Functional Characterization of Cyclin K Expression in Endometrial Cancer: Immunohistochemical and In Silico Analysis. Cancers (Basel) 2025; 17:792. [PMID: 40075638 PMCID: PMC11898804 DOI: 10.3390/cancers17050792] [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: 12/19/2024] [Revised: 01/28/2025] [Accepted: 02/23/2025] [Indexed: 03/14/2025] Open
Abstract
Background/Objectives: Endometrial cancer (EC) is a heterogeneous gynecological malignancy characterized by varied clinical outcomes and complex molecular mechanisms. The dysregulation of cyclin K (CCNK), a key regulator of transcription and cell cycle progression, has been implicated in cancer development. This study aimed to investigate CCNK expression at the protein level in EC tissues and at the mRNA level using in silico analysis. Additionally, the prognostic significance of CCNK expression in EC was assessed. Methods: CCNK expression was evaluated using immunohistochemical analysis and mRNA expression profiling in EC tissues, adjacent non-tumorous tissues, and histologically normal endometrial tissues. Immunohistochemical staining was performed on tissue macroarrays, and protein expression was quantified using the Immunoreactivity Score (IRS). mRNA expression analysis was conducted in silico using TCGA data via UCSC Xena and UALCAN web tool. Pathway enrichment was analyzed using Reactome and DAVID tool, while PPI networks were constructed with STRING and Cytoscape. Statistical analyses, including Mann-Whitney U test, Fisher's exact test, Chi-square test, Kaplan-Meier survival analysis, and Cox regression, were performed using GraphPad Prism. Results: Immunohistochemical analysis revealed significantly elevated CCNK protein expression in tumor tissues, particularly in advanced-stage cases, correlating with adverse pathological features such as higher tumor stage and FIGO grade. High CCNK protein expression was significantly associated with poorer OS in the overall EC cohort and non-endometrioid subtypes, whereas no significant association was observed in endometrioid subtypes. mRNA expression analysis demonstrated significantly higher CCNK levels in non-endometrioid tumors compared to adjacent non-tumorous tissues, but no significant correlation with OS was observed. Functional enrichment analysis highlighted the involvement of CCNK-associated genes in RNA metabolism and transcriptional regulation. Conclusions: These findings emphasize the prognostic value of CCNK expression in EC, particularly in aggressive subtypes. The results suggest that CCNK may serve as a potential therapeutic target, warranting further investigation into its role in EC progression and treatment strategies.
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Affiliation(s)
- Marcin Szymański
- Department of Histology and Embryology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-092 Bydgoszcz, Poland; (M.S.); (K.B.); (D.J.)
| | - Klaudia Bonowicz
- Department of Histology and Embryology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-092 Bydgoszcz, Poland; (M.S.); (K.B.); (D.J.)
- Faculty of Medicine, Collegium Medicum, Mazovian Academy in Płock, 09-402 Płock, Poland
| | - Dominika Jerka
- Department of Histology and Embryology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-092 Bydgoszcz, Poland; (M.S.); (K.B.); (D.J.)
| | - Maciej Gagat
- Department of Histology and Embryology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-092 Bydgoszcz, Poland; (M.S.); (K.B.); (D.J.)
- Faculty of Medicine, Collegium Medicum, Mazovian Academy in Płock, 09-402 Płock, Poland
| | - Paulina Antosik
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland;
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Contrò G, Baroni MC, Caraffi SG, Napoli M, Artuso R, Giliberti A, Bargiacchi S, Mancano G, Traficante G, Mucciolo M, Radio FC, Cordeddu V, Mancini C, Bottillo I, Pirro FA, Bonati MT, Becker CC, Carli D, Mussa A, Gonzalez MIA, Ruiz-Arana IL, Kumps C, Maystadt I, Moortgat S, Peker A, Piccione M, Grammatico P, Rostomashvili N, Lévy J, Scala M, Capra V, Torella A, van Eyk C, Isidor B, Cogne B, Srivastava S, Quinlan A, Vaisfeld A, Licchetta L, Frattini D, Graziano C, Severi G, Bacchi I, Soliani L, Sherr EH, Argilli E, Goel H, De Luca C, Leonardi S, Brancati F, Faletra F, Mio C, Braibanti S, Gargano G, Fusco C, Novelli A, Tartaglia M, Garavelli L. CDK13-Related Disorder: Novel Insights From A Series of 27 Cases and Recommendations for Clinical Management. Clin Genet 2025. [PMID: 39971730 DOI: 10.1111/cge.14726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 01/15/2025] [Accepted: 01/31/2025] [Indexed: 02/21/2025]
Abstract
In 2016, Sifrim and colleagues described the first group of patients carrying heterozygous pathogenic variants in CDK13 and sharing major clinical features mainly consisting of congenital heart defects, intellectual disability and peculiar facial features (Congenital Heart Defects, Dysmorphic Facial Features, and Intellectual Developmental Disorder; CHDFIDD, OMIM # 617360). This condition is generally referred to as CDK13-related disorder, and since then other reports have provided further clinical and molecular information. Here we describe a group of 27 previously unreported patients to more accurately profile the clinical spectrum associated with CDK13 variants, disclosing novel associated findings, such as complex craniosynostosis and variable skeletal features (e.g., cranio-cervical anomalies). We also focused on the ocular phenotype that appears to include bilateral congenital glaucoma, posterior embriotoxon, buphthalmos and Duane anomaly. Finally, we observed two cases of mother-to-daughter transmission. Our work clarifies some novel features of CHDFIDD, defines the differential diagnosis of this disorder, and provides recommendations for its clinical management.
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Affiliation(s)
- Gianluca Contrò
- Medical Genetics Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Maria Chiara Baroni
- Medical Genetics Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | | | - Manuela Napoli
- Neuroradiology Unit, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Rosangela Artuso
- Medical Genetics Unit, Meyer Children's Hospital IRCSS, Florence, Italy
| | | | - Sara Bargiacchi
- Medical Genetics Unit, Meyer Children's Hospital IRCSS, Florence, Italy
| | - Giorgia Mancano
- Medical Genetics Unit, Meyer Children's Hospital IRCSS, Florence, Italy
| | | | - Mafalda Mucciolo
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Francesca Clementina Radio
- Molecular Genetics and Functional Genomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
- Medical Genetics, San Camillo-Forlanini Hospital, Sapienza University, Rome, Italy
| | - Viviana Cordeddu
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Cecilia Mancini
- Molecular Genetics and Functional Genomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Irene Bottillo
- Medical Genetics, San Camillo-Forlanini Hospital, Sapienza University, Rome, Italy
| | - Federica Anna Pirro
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Maria Teresa Bonati
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | | | - Diana Carli
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Alessandro Mussa
- Department of Public Health and Pediatrics, University of Torino, Torino, Italy
| | | | - Inge Lore Ruiz-Arana
- Service of Endocrinology, Diabetology, and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Camille Kumps
- Service de Médecine Génétique, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Isabelle Maystadt
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique (IPG), Gosselies (Charleroi), Charleroi, Belgium
| | - Stephanie Moortgat
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique (IPG), Gosselies (Charleroi), Charleroi, Belgium
| | - Alp Peker
- Medicine Faculty Hospital, Department of Medical Genetics, Akdeniz University, Antalya, Türkiye
| | - Maria Piccione
- Medical Genetics Unit, AOOR Villa Sofia-Cervello Hospitals, Palermo, Italy
- Department of Health Promotion, Mother and Child Care, University of Palermo, Palermo, Italy
| | - Paola Grammatico
- Medical Genetics, San Camillo-Forlanini Hospital, Sapienza University, Rome, Italy
| | - Nino Rostomashvili
- Genetics Department, AP-HP, Robert-Debré University Hospital, Paris, France
| | - Jonathan Lévy
- Genetics Department, AP-HP, Robert-Debré University Hospital, Paris, France
| | - Marcello Scala
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Valeria Capra
- Genomics and Clinical Genetics, IRCCS Gaslini, Genoa, Italy
| | - Annalaura Torella
- Medical Genetics, Department of Precision Medicine, Università Degli Studi Della Campania 'Luigi Vanvitelli', Naples, Italy
- Telethon Institute of Genetics and Medicine, Pozzuoli, Italy
| | - Clare van Eyk
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
| | | | - Benjamin Cogne
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - Siddharth Srivastava
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Aisling Quinlan
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alessandro Vaisfeld
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Laura Licchetta
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, European Reference Network for Rare and Complex Epilepsies (EpiCARE), Bologna, Italy
| | - Daniele Frattini
- Child Neurology and Psychiatry Unit, Pediatric Neurophysiology Laboratory, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Giulia Severi
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Isabelle Bacchi
- Medical Genetics Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Luca Soliani
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neuropsichiatria dell'Età Pediatrica, Bologna, Italy
| | - Elliott H Sherr
- Department of Neurology, University of California, San Francisco, California, USA
| | - Emanuela Argilli
- Department of Neurology, University of California, San Francisco, California, USA
| | - Himanshu Goel
- Hunter New England Local Health District, Waratah, Australia
| | - Chiara De Luca
- Human Genetics, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Silvia Leonardi
- Human Genetics, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesco Brancati
- Human Genetics, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
- Human Functional Genomics Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Roma, Rome, Italy
| | - Flavio Faletra
- Institute of Medical Genetics Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
- Department of Medicine (DMED), University of Udine, Udine, Italy
| | - Catia Mio
- Institute of Medical Genetics Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | - Silvia Braibanti
- Neonatal Intensive Care Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giancarlo Gargano
- Neonatal Intensive Care Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Carlo Fusco
- Child Neurology and Psychiatry Unit, Pediatric Neurophysiology Laboratory, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Novelli
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Marco Tartaglia
- Molecular Genetics and Functional Genomics Research Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Livia Garavelli
- Medical Genetics Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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7
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Latour M, Kwiatek L, Landry-Voyer AM, Bachand F. Antagonistic roles by the conserved nuclear poly(A)-binding proteins PABPN1 and ZC3H14 in nuclear RNA surveillance. Nucleic Acids Res 2025; 53:gkaf060. [PMID: 39898550 PMCID: PMC11788927 DOI: 10.1093/nar/gkaf060] [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: 08/19/2024] [Revised: 01/16/2025] [Accepted: 01/23/2025] [Indexed: 02/04/2025] Open
Abstract
Most eukaryotic genomes are transcribed pervasively, thereby producing an array of long non-coding RNAs (lncRNAs) in addition to protein-coding mRNAs. A large fraction of these lncRNAs is targeted by polyadenylation-dependent decay via the poly(A)-binding protein nuclear 1 (PABPN1) and the RNA exosome. Yet, how PABPN1 contributes to nuclear RNA surveillance by facilitating lncRNA turnover by the RNA exosome remains largely unclear. Here, we show that PABPN1 is important for the nuclear retention of polyadenylated lncRNAs, such that PABPN1 loss of function allows target lncRNAs to evade nuclear decay, leading to cytoplasmic accumulation. Interestingly, we found that another nuclear PABP, ZC3H14, functions antagonistically to PABPN1 and the poly(A)-tail exosome targeting (PAXT) connection in the control of nuclear lncRNA turnover. Collectively, our findings disclose the critical interplay between two conserved nuclear PABPs, PABPN1 and ZC3H14, in RNA surveillance via the control of nuclear RNA export.
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Affiliation(s)
- Mélodie Latour
- RNA Group, Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Lauren Kwiatek
- RNA Group, Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - Anne-Marie Landry-Voyer
- RNA Group, Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
| | - François Bachand
- RNA Group, Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, J1E 4K8, Canada
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8
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Tanu T, Cox AM, Karlow J, Sharma P, He X, Wu C, Babu S, Brown J, Brown KM, Chanock SJ, Liu D, Zhang T, Burns KH, Boutz PL, Insco ML. Recurrent oncogenic ZC3H18 mutations stabilize endogenous retroviral RNA. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.10.632423. [PMID: 39868094 PMCID: PMC11760258 DOI: 10.1101/2025.01.10.632423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
Endogenous retroviral (ERV) RNA is highly expressed in cancer, although the molecular causes and consequences remain unknown. We found that ZC3H18 (Z18), a component of multiple nuclear RNA surveillance complexes, has recurrent truncating mutations in cancer. We show that Z18trunc mutations are oncogenic and that Z18 plays an evolutionarily conserved role in nuclear RNA surveillance of ERV RNA. In zebrafish, Z18trunc expedited melanoma onset and promoted a specific accumulation of ERV RNA. Z18 mutant human cell lines from the Cancer Cell Line Encyclopedia also expressed higher levels of ERV RNA. In engineered human melanoma cells, Z18trunc enhanced ERV RNA accumulation more than loss of one Z18 copy, indicating dominant negative activity. Z18trunc directly bound and stabilized ERV RNA. Notably, expression of ERV RNA was sufficient to expedite oncogenesis in a zebrafish model, which is the first evidence of which we are aware that ERV transcripts can play a functional role in cancer. Our work illuminates a mechanism for elevated ERV transcripts in cancer and supports that aberrant RNA accumulation is broadly oncogenic.
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Affiliation(s)
- Tanzina Tanu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Anna M. Cox
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Jennifer Karlow
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Priyanka Sharma
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Xueyang He
- University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
- Center for RNA Biology, University of Rochester, Rochester, NY 14642, USA
- Wilmot Cancer Institute, Rochester, NY 14642, USA
| | - Constance Wu
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Swathy Babu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Jared Brown
- Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Kevin M. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20850, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20850, USA
| | - David Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20850, USA
| | - Kathleen H. Burns
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Paul L. Boutz
- University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
- Center for RNA Biology, University of Rochester, Rochester, NY 14642, USA
- Wilmot Cancer Institute, Rochester, NY 14642, USA
| | - Megan L. Insco
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
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9
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Pellarin I, Dall'Acqua A, Favero A, Segatto I, Rossi V, Crestan N, Karimbayli J, Belletti B, Baldassarre G. Cyclin-dependent protein kinases and cell cycle regulation in biology and disease. Signal Transduct Target Ther 2025; 10:11. [PMID: 39800748 PMCID: PMC11734941 DOI: 10.1038/s41392-024-02080-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 10/16/2024] [Accepted: 11/13/2024] [Indexed: 01/18/2025] Open
Abstract
Cyclin Dependent Kinases (CDKs) are closely connected to the regulation of cell cycle progression, having been first identified as the kinases able to drive cell division. In reality, the human genome contains 20 different CDKs, which can be divided in at least three different sub-family with different functions, mechanisms of regulation, expression patterns and subcellular localization. Most of these kinases play fundamental roles the normal physiology of eucaryotic cells; therefore, their deregulation is associated with the onset and/or progression of multiple human disease including but not limited to neoplastic and neurodegenerative conditions. Here, we describe the functions of CDKs, categorized into the three main functional groups in which they are classified, highlighting the most relevant pathways that drive their expression and functions. We then discuss the potential roles and deregulation of CDKs in human pathologies, with a particular focus on cancer, the human disease in which CDKs have been most extensively studied and explored as therapeutic targets. Finally, we discuss how CDKs inhibitors have become standard therapies in selected human cancers and propose novel ways of investigation to export their targeting from cancer to other relevant chronic diseases. We hope that the effort we made in collecting all available information on both the prominent and lesser-known CDK family members will help in identify and develop novel areas of research to improve the lives of patients affected by debilitating chronic diseases.
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Affiliation(s)
- Ilenia Pellarin
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Alessandra Dall'Acqua
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Andrea Favero
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Ilenia Segatto
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Valentina Rossi
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Nicole Crestan
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Javad Karimbayli
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Barbara Belletti
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy
| | - Gustavo Baldassarre
- Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy.
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10
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Makeyev EV, Huang S. The perinucleolar compartment: structure, function, and utility in anti-cancer drug development. Nucleus 2024; 15:2306777. [PMID: 38281066 PMCID: PMC10824145 DOI: 10.1080/19491034.2024.2306777] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/12/2024] [Indexed: 01/29/2024] Open
Abstract
The perinucleolar compartment (PNC) was initially identified as a nuclear structure enriched for the polypyrimidine tract-binding protein. Since then, the PNC has been implicated in carcinogenesis. The prevalence of this compartment is positively correlated with disease progression in various types of cancer, and its expression in primary tumors is linked to worse patient outcomes. Using the PNC as a surrogate marker for anti-cancer drug efficacy has led to the development of a clinical candidate for anti-metastasis therapies. The PNC is a multicomponent nuclear body situated at the periphery of the nucleolus. Thus far, several non-coding RNAs and RNA-binding proteins have been identified as the PNC components. Here, we summarize the current understanding of the structure and function of the PNC, as well as its recurrent links to cancer progression and metastasis.
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Affiliation(s)
- Eugene V. Makeyev
- Centre for Developmental Neurobiology, King’s College London, London, UK
| | - Sui Huang
- Department of Cell and Developmental Biology, Northwestern University, Chicago, IL, USA
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11
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Li Q, Yang G, Ren B, Liu X, Tang LQ, Shi Q, Shan G, Wang X. ZC3H14 facilitates backsplicing by binding to exon-intron boundary and 3' UTR. Mol Cell 2024; 84:4314-4333.e9. [PMID: 39461343 DOI: 10.1016/j.molcel.2024.10.001] [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: 02/20/2024] [Revised: 08/02/2024] [Accepted: 10/01/2024] [Indexed: 10/29/2024]
Abstract
Circular RNAs (circRNAs) are natural outputs of eukaryotic transcription and RNA processing and have emerged as critical regulators in physiology and diseases. Although multiple cis-elements and trans-factors are reported to modulate the backsplicing of circRNA biogenesis, most of these regulations play roles in flanking introns of circRNAs. Here, using a genome-wide CRISPR knockout screen, we have identified an evolutionarily conserved RNA-binding protein ZC3H14 in regulating circRNA biogenesis. ZC3H14 binds to 3' and 5' exon-intron boundaries and 3' UTRs of cognate mRNAs to promote circRNA biogenesis through dimerization and the association with spliceosome. Yeast knockout of the ZC3H14 ortholog Nab2 has significantly lower levels of circRNAs. Zc3h14-/- mice exhibit disrupted spermatogenesis and reduced testicular circRNA levels. Additionally, expression levels of human ZC3H14 are associated with non-obstructive azoospermia. Our findings reveal a conserved requirement for ZC3H14 in the modulation of backsplicing and link ZC3H14 and circRNA biogenesis to male fertility.
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Affiliation(s)
- Qiqi Li
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, The RNA Institute, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China (USTC), Hefei 230027, China
| | - Gang Yang
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, Biomedical Sciences and Health Laboratory of Anhui Province, Institute of Health and Medicine, Hefei Comprehensive National Science Center, University of Science and Technology of China, Hefei 230027, China
| | - Bingbing Ren
- Department of Pulmonary and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory Disease, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Xu Liu
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, The RNA Institute, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China (USTC), Hefei 230027, China
| | - Li-Qin Tang
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Qinghua Shi
- Division of Reproduction and Genetics, First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, Biomedical Sciences and Health Laboratory of Anhui Province, Institute of Health and Medicine, Hefei Comprehensive National Science Center, University of Science and Technology of China, Hefei 230027, China
| | - Ge Shan
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, The RNA Institute, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China (USTC), Hefei 230027, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, University of Science and Technology of China, Hefei 230071, China.
| | - Xiaolin Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, The RNA Institute, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China (USTC), Hefei 230027, China.
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12
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Fan J, Wang Y, Wen M, Tong D, Wu K, Yan K, Jia P, Zhu Y, Liu Q, Zou H, Zhao P, Lu F, Yun C, Xue Y, Zhou Y, Cheng H. Dual modes of ZFC3H1 confer selectivity in nuclear RNA sorting. Mol Cell 2024; 84:4297-4313.e7. [PMID: 39461342 DOI: 10.1016/j.molcel.2024.09.032] [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: 02/08/2024] [Revised: 08/07/2024] [Accepted: 09/30/2024] [Indexed: 10/29/2024]
Abstract
The export and degradation pathways compete to sort nuclear RNAs, yet the default pathway remains unclear. Sorting of mature RNAs to degradation, facilitated by the exosome co-factor poly(A) exosome targeting (PAXT), is particularly challenging for their resemblance to mRNAs intended for translation. Here, we unveil that ZFC3H1, a core PAXT component, is co-transcriptionally loaded onto the first exon/intron of RNA precursors (pre-RNAs). Interestingly, this initial loading does not lead to pre-RNA degradation, as ZFC3H1 adopts a "closed" conformation, effectively blocking exosome recruitment. As processing progresses, RNA fate can be reshaped. Longer RNAs with more exons are allowed for nuclear export. By contrast, short RNAs with fewer exons preferentially recruit transient PAXT components ZC3H3 and RBM26/27 to the 3' end, triggering ZFC3H1 "opening" and subsequent exosomal degradation. Together, the decoupled loading and activation of ZFC3H1 pre-configures RNA fate for decay while still allowing a switch to nuclear export, depending on mature RNA features.
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Affiliation(s)
- Jing Fan
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China; Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing 210096, China.
| | - Yimin Wang
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Miaomiao Wen
- Institute of Advanced Studies, Wuhan University, Wuhan 430000, China
| | - Deng Tong
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Kai Wu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, RNA Institute, Hubei Key Laboratory of Cell Homeostasis, Wuhan University, Wuhan 430000, China
| | - Kunming Yan
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Peixuan Jia
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Yi Zhu
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Qinyu Liu
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Hecun Zou
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Peng Zhao
- Department of Biophysics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Falong Lu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Caihong Yun
- Department of Biophysics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Yuanchao Xue
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yu Zhou
- Institute of Advanced Studies, Wuhan University, Wuhan 430000, China; College of Life Sciences, TaiKang Center for Life and Medical Sciences, RNA Institute, Hubei Key Laboratory of Cell Homeostasis, Wuhan University, Wuhan 430000, China.
| | - Hong Cheng
- Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China; Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
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13
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Chen X, Xu S, Chu B, Guo J, Zhang H, Sun S, Song L, Feng XQ. Applying Spatiotemporal Modeling of Cell Dynamics to Accelerate Drug Development. ACS NANO 2024; 18:29311-29336. [PMID: 39420743 DOI: 10.1021/acsnano.4c12599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Cells act as physical computational programs that utilize input signals to orchestrate molecule-level protein-protein interactions (PPIs), generating and responding to forces, ultimately shaping all of the physiological and pathophysiological behaviors. Genome editing and molecule drugs targeting PPIs hold great promise for the treatments of diseases. Linking genes and molecular drugs with protein-performed cellular behaviors is a key yet challenging issue due to the wide range of spatial and temporal scales involved. Building predictive spatiotemporal modeling systems that can describe the dynamic behaviors of cells intervened by genome editing and molecular drugs at the intersection of biology, chemistry, physics, and computer science will greatly accelerate pharmaceutical advances. Here, we review the mechanical roles of cytoskeletal proteins in orchestrating cellular behaviors alongside significant advancements in biophysical modeling while also addressing the limitations in these models. Then, by integrating generative artificial intelligence (AI) with spatiotemporal multiscale biophysical modeling, we propose a computational pipeline for developing virtual cells, which can simulate and evaluate the therapeutic effects of drugs and genome editing technologies on various cell dynamic behaviors and could have broad biomedical applications. Such virtual cell modeling systems might revolutionize modern biomedical engineering by moving most of the painstaking wet-laboratory effort to computer simulations, substantially saving time and alleviating the financial burden for pharmaceutical industries.
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Affiliation(s)
- Xindong Chen
- Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
- BioMap, Beijing 100144, China
| | - Shihao Xu
- Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Bizhu Chu
- School of Pharmacy, Shenzhen University, Shenzhen 518055, China
- Medical School, Shenzhen University, Shenzhen 518055, China
| | - Jing Guo
- Department of Medical Oncology, Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, Xiamen 361000, China
| | - Huikai Zhang
- Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Shuyi Sun
- Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Le Song
- BioMap, Beijing 100144, China
| | - Xi-Qiao Feng
- Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
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14
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Taniue K, Sugawara A, Zeng C, Han H, Gao X, Shimoura Y, Ozeki AN, Onoguchi-Mizutani R, Seki M, Suzuki Y, Hamada M, Akimitsu N. The MTR4/hnRNPK complex surveils aberrant polyadenylated RNAs with multiple exons. Nat Commun 2024; 15:8684. [PMID: 39419981 PMCID: PMC11487169 DOI: 10.1038/s41467-024-51981-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 08/21/2024] [Indexed: 10/19/2024] Open
Abstract
RNA surveillance systems degrade aberrant RNAs that result from defective transcriptional termination, splicing, and polyadenylation. Defective RNAs in the nucleus are recognized by RNA-binding proteins and MTR4, and are degraded by the RNA exosome complex. Here, we detect aberrant RNAs in MTR4-depleted cells using long-read direct RNA sequencing and 3' sequencing. MTR4 destabilizes intronic polyadenylated transcripts generated by transcriptional read-through over one or more exons, termed 3' eXtended Transcripts (3XTs). MTR4 also associates with hnRNPK, which recognizes 3XTs with multiple exons. Moreover, the aberrant protein translated from KCTD13 3XT is a target of the hnRNPK-MTR4-RNA exosome pathway and forms aberrant condensates, which we name KCTD13 3eXtended Transcript-derived protein (KeXT) bodies. Our results suggest that RNA surveillance in human cells inhibits the formation of condensates of a defective polyadenylated transcript-derived protein.
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Affiliation(s)
- Kenzui Taniue
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan.
- Department of Medicine, Asahikawa Medical University, 2-1 Midorigaoka Higashi, Asahikawa, Hokkaido, 078-8510, Japan.
| | - Anzu Sugawara
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Chao Zeng
- Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Han Han
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Xinyue Gao
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Yuki Shimoura
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Atsuko Nakanishi Ozeki
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Rena Onoguchi-Mizutani
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Masahide Seki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan
| | - Michiaki Hamada
- Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
- AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Nobuyoshi Akimitsu
- Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan.
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15
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Li Z, Li X, Seebacher NA, Liu X, Wu W, Yu S, Hornicek FJ, Huang C, Duan Z. CDK12 is a promising therapeutic target for the transcription cycle and DNA damage response in metastatic osteosarcoma. Carcinogenesis 2024; 45:786-798. [PMID: 39082894 DOI: 10.1093/carcin/bgae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 07/19/2024] [Accepted: 07/30/2024] [Indexed: 10/11/2024] Open
Abstract
Osteosarcoma (OS) is a bone malignant tumor affecting children, adolescents, and young adults. Currently, osteosarcoma is treated with chemotherapy regimens established over 40 years ago. The investigation of novel therapeutic strategies for the treatment of osteosarcoma remains an important clinical need. Cyclin-dependent kinases (CDKs) have been considered promising molecular targets in cancer therapy. Among these, CDK12 has been shown to play a crucial role in the pathogenesis of malignancies, but its clinical significance and biological mechanisms in osteosarcoma remain unclear. In the present study, we aim to determine the expression and function of CDK12 and evaluate its prognostic and therapeutic value in metastatic osteosarcoma. We found that overexpression of CDK12 was associated with high tumor grade, tumor progression and reduced patient survival. The underlying mechanism revealed that knockdown of CDK12 expression with small interfering RNA or functional inhibition with the CDK12-targeting agent THZ531 effectively exhibited time- and dose-dependent cytotoxicity. Downregulation of CDK12 paused transcription by reducing RNAP II phosphorylation, interfered with DNA damage repair with increased γH2AX, and decreased cell proliferation through the PI3K-AKT pathway. This was accompanied by the promotion of apoptosis, as evidenced by enhanced Bax expression and reduced Bcl-xL expression. Furthermore, the CDK12 selective inhibitor THZ531 also hindered ex vivo 3D spheroid formation, growth of in vitro 2D cell colony, and prevented cell mobility. Our findings highlight the clinical importance of CDK12 as a potentially valuable prognostic biomarker and therapeutic target in metastatic osteosarcoma.
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Affiliation(s)
- Zihao Li
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Xiaoyang Li
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Nicole A Seebacher
- Department of Oncology, University of Oxford OX3 9DU, Oxford, UK
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Xu Liu
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Wence Wu
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Shengji Yu
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Francis J Hornicek
- Sarcoma Biology Laboratory, Department of Orthopaedics, Sylvester Comprehensive Cancer Center, and the University of Miami Miller School of Medicine, Miami, FL, 33136USA
| | - Changzhi Huang
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10021China
| | - Zhenfeng Duan
- Sarcoma Biology Laboratory, Department of Orthopaedics, Sylvester Comprehensive Cancer Center, and the University of Miami Miller School of Medicine, Miami, FL, 33136USA
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16
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Rambout X, Maquat LE. Nuclear mRNA decay: regulatory networks that control gene expression. Nat Rev Genet 2024; 25:679-697. [PMID: 38637632 PMCID: PMC11408106 DOI: 10.1038/s41576-024-00712-2] [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] [Accepted: 02/19/2024] [Indexed: 04/20/2024]
Abstract
Proper regulation of mRNA production in the nucleus is critical for the maintenance of cellular homoeostasis during adaptation to internal and environmental cues. Over the past 25 years, it has become clear that the nuclear machineries governing gene transcription, pre-mRNA processing, pre-mRNA and mRNA decay, and mRNA export to the cytoplasm are inextricably linked to control the quality and quantity of mRNAs available for translation. More recently, an ever-expanding diversity of new mechanisms by which nuclear RNA decay factors finely tune the expression of protein-encoding genes have been uncovered. Here, we review the current understanding of how mammalian cells shape their protein-encoding potential by regulating the decay of pre-mRNAs and mRNAs in the nucleus.
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Affiliation(s)
- Xavier Rambout
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
- Center for RNA Biology, University of Rochester, Rochester, NY, USA.
| | - Lynne E Maquat
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
- Center for RNA Biology, University of Rochester, Rochester, NY, USA.
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17
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Cheng X, Jiang G, Zhou X, Wang J, Zhao Z, Zhang J, Ni T. The landscape and clinical relevance of intronic polyadenylation in human cancers. J Genet Genomics 2024; 51:1030-1039. [PMID: 38740258 DOI: 10.1016/j.jgg.2024.04.014] [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: 01/09/2024] [Revised: 04/07/2024] [Accepted: 04/25/2024] [Indexed: 05/16/2024]
Abstract
Intronic polyadenylation (IPA) is an RNA 3' end processing event which has been reported to play important roles in cancer development. However, the comprehensive landscape of IPA events across various cancer types is lacking. Here, we apply IPAFinder to identify and quantify IPA events in 10,383 samples covering all 33 cancer types from The Cancer Genome Atlas (TCGA) project. We identify a total of 21,835 IPA events, almost half of which are ubiquitously expressed. We identify 2761 unique dynamically changed IPA events across cancer types. Furthermore, we observe 8855 non-redundant clinically relevant IPA events, which could potentially be used as prognostic indicators. Our analysis also reveals that dynamic IPA usage within cancer signaling pathways may affect drug response. Finally, we develop a user-friendly data portal, IPACancer Atlas (http://www.tingni-lab.com/Pancan_IPA/), to search and explore IPAs in cancer.
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Affiliation(s)
- Xiaomeng Cheng
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Guanghui Jiang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xiaolan Zhou
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jing Wang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Zhaozhao Zhao
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China; MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jiayu Zhang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China; State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, Inner Mongolia 010070, China.
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18
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Ding T, Xu H, Zhang X, Yang F, Zhang J, Shi Y, Bai Y, Yang J, Chen C, Zhu C, Zhang H. Prohibitin 2 orchestrates long noncoding RNA and gene transcription to accelerate tumorigenesis. Nat Commun 2024; 15:8385. [PMID: 39333493 PMCID: PMC11436821 DOI: 10.1038/s41467-024-52425-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 09/05/2024] [Indexed: 09/29/2024] Open
Abstract
The spatial co-presence of aberrant long non-coding RNAs (lncRNAs) and abnormal coding genes contributes to malignancy development in various tumors. However, precise coordinated mechanisms underlying this phenomenon in tumorigenesis remains incompletely understood. Here, we show that Prohibitin 2 (PHB2) orchestrates the transcription of an oncogenic CASC15-New-Isoform 2 (CANT2) lncRNA and the coding tumor-suppressor gene CCBE1, thereby accelerating melanoma tumorigenesis. In melanoma cells, PHB2 initially accesses the open chromatin sites at the CANT2 promoter, recruiting MLL2 to augment H3K4 trimethylation and activate CANT2 transcription. Intriguingly, PHB2 further binds the activated CANT2 transcript, targeting the promoter of the tumor-suppressor gene CCBE1. This interaction recruits histone deacetylase HDAC1 to decrease H3K27 acetylation at the CCBE1 promoter and inhibit its transcription, significantly promoting tumor cell growth and metastasis both in vitro and in vivo. Our study elucidates a PHB2-mediated mechanism that orchestrates the aberrant transcription of lncRNAs and coding genes, providing an intriguing epigenetic regulatory model in tumorigenesis.
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Affiliation(s)
- Tianyi Ding
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Haowen Xu
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Xiaoyu Zhang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Fan Yang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Jixing Zhang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Yibing Shi
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Yiran Bai
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Jiaqi Yang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Chaoqun Chen
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - Chengbo Zhu
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China
- School of Life Science, Jinggangshan University, Ji'an, 343009, China
| | - He Zhang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, 200092, China.
- Jiangxi Province Key Laboratory of Organ Development and Epigenetics, Clinical Medical Research Center, Affiliated Hospital of Jinggangshan University, Medical Department of Jinggangshan University, Ji'an, 343009, China.
- School of Life Science, Jinggangshan University, Ji'an, 343009, China.
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19
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Soles LV, Liu L, Zou X, Yoon Y, Li S, Tian L, Valdez MC, Yu A, Yin H, Li W, Ding F, Seelig G, Li L, Shi Y. A nuclear RNA degradation code for eukaryotic transcriptome surveillance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.23.604837. [PMID: 39211185 PMCID: PMC11361069 DOI: 10.1101/2024.07.23.604837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
The RNA exosome plays critical roles in eukaryotic RNA degradation, but it remains unclear how the exosome specifically recognizes its targets. The PAXT connection is an adaptor that recruits the exosome to polyadenylated RNAs in the nucleus, especially transcripts polyadenylated at intronic poly(A) sites. Here we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site and a poly(A) junction, but not by either sequence alone. These sequences are bound by U1 snRNP and cleavage/polyadenylation factors, which in turn cooperatively recruit PAXT. As the 5' splice site-poly(A) junction combination is typically not found on correctly processed full-length RNAs, we propose that it functions as a "nuclear RNA degradation code" (NRDC). Importantly, disease-associated single nucleotide polymorphisms that create novel 5' splice sites in 3' untranslated regions can induce aberrant mRNA degradation via the NRDC mechanism. Together our study identified the first NRDC, revealed its recognition mechanism, and characterized its role in human diseases.
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20
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Radrizzani S, Kudla G, Izsvák Z, Hurst LD. Selection on synonymous sites: the unwanted transcript hypothesis. Nat Rev Genet 2024; 25:431-448. [PMID: 38297070 DOI: 10.1038/s41576-023-00686-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2023] [Indexed: 02/02/2024]
Abstract
Although translational selection to favour codons that match the most abundant tRNAs is not readily observed in humans, there is nonetheless selection in humans on synonymous mutations. We hypothesize that much of this synonymous site selection can be explained in terms of protection against unwanted RNAs - spurious transcripts, mis-spliced forms or RNAs derived from transposable elements or viruses. We propose not only that selection on synonymous sites functions to reduce the rate of creation of unwanted transcripts (for example, through selection on exonic splice enhancers and cryptic splice sites) but also that high-GC content (but low-CpG content), together with intron presence and position, is both particular to functional native mRNAs and used to recognize transcripts as native. In support of this hypothesis, transcription, nuclear export, liquid phase condensation and RNA degradation have all recently been shown to promote GC-rich transcripts and suppress AU/CpG-rich ones. With such 'traps' being set against AU/CpG-rich transcripts, the codon usage of native genes has, in turn, evolved to avoid such suppression. That parallel filters against AU/CpG-rich transcripts also affect the endosomal import of RNAs further supports the unwanted transcript hypothesis of synonymous site selection and explains the similar design rules that have enabled the successful use of transgenes and RNA vaccines.
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Affiliation(s)
- Sofia Radrizzani
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK
- Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Grzegorz Kudla
- MRC Human Genetics Unit, Institute for Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Zsuzsanna Izsvák
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Society, Berlin, Germany
| | - Laurence D Hurst
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK.
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21
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Han X, Xing L, Hong Y, Zhang X, Hao B, Lu JY, Huang M, Wang Z, Ma S, Zhan G, Li T, Hao X, Tao Y, Li G, Zhou S, Zheng Z, Shao W, Zeng Y, Ma D, Zhang W, Xie Z, Deng H, Yan J, Deng W, Shen X. Nuclear RNA homeostasis promotes systems-level coordination of cell fate and senescence. Cell Stem Cell 2024; 31:694-716.e11. [PMID: 38631356 DOI: 10.1016/j.stem.2024.03.015] [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: 09/22/2023] [Revised: 02/01/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Understanding cellular coordination remains a challenge despite knowledge of individual pathways. The RNA exosome, targeting a wide range of RNA substrates, is often downregulated in cellular senescence. Utilizing an auxin-inducible system, we observed that RNA exosome depletion in embryonic stem cells significantly affects the transcriptome and proteome, causing pluripotency loss and pre-senescence onset. Mechanistically, exosome depletion triggers acute nuclear RNA aggregation, disrupting nuclear RNA-protein equilibrium. This disturbance limits nuclear protein availability and hinders polymerase initiation and engagement, reducing gene transcription. Concurrently, it promptly disrupts nucleolar transcription, ribosomal processes, and nuclear exporting, resulting in a translational shutdown. Prolonged exosome depletion induces nuclear structural changes resembling senescent cells, including aberrant chromatin compaction, chromocenter disassembly, and intensified heterochromatic foci. These effects suggest that the dynamic turnover of nuclear RNA orchestrates crosstalk between essential processes to optimize cellular function. Disruptions in nuclear RNA homeostasis result in systemic functional decline, altering the cell state and promoting senescence.
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Affiliation(s)
- Xue Han
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Linqing Xing
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yantao Hong
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xuechun Zhang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Bo Hao
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - J Yuyang Lu
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Mengyuan Huang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zuhui Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shaoqian Ma
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Ge Zhan
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Tong Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xiaowen Hao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yibing Tao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Guanwen Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Shuqin Zhou
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zheng Zheng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Wen Shao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yitian Zeng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Dacheng Ma
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Wenhao Zhang
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhen Xie
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Haiteng Deng
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiangwei Yan
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wulan Deng
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Xiaohua Shen
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China; SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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22
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Yuan S, Almagro J, Fuchs E. Beyond genetics: driving cancer with the tumour microenvironment behind the wheel. Nat Rev Cancer 2024; 24:274-286. [PMID: 38347101 PMCID: PMC11077468 DOI: 10.1038/s41568-023-00660-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 02/17/2024]
Abstract
Cancer has long been viewed as a genetic disease of cumulative mutations. This notion is fuelled by studies showing that ageing tissues are often riddled with clones of complex oncogenic backgrounds coexisting in seeming harmony with their normal tissue counterparts. Equally puzzling, however, is how cancer cells harbouring high mutational burden contribute to normal, tumour-free mice when allowed to develop within the confines of healthy embryos. Conversely, recent evidence suggests that adult tissue cells expressing only one or a few oncogenes can, in some contexts, generate tumours exhibiting many of the features of a malignant, invasive cancer. These disparate observations are difficult to reconcile without invoking environmental cues triggering epigenetic changes that can either dampen or drive malignant transformation. In this Review, we focus on how certain oncogenes can launch a two-way dialogue of miscommunication between a stem cell and its environment that can rewire downstream events non-genetically and skew the morphogenetic course of the tissue. We review the cells and molecules of and the physical forces acting in the resulting tumour microenvironments that can profoundly affect the behaviours of transformed cells. Finally, we discuss possible explanations for the remarkable diversity in the relative importance of mutational burden versus tumour microenvironment and its clinical relevance.
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Affiliation(s)
- Shaopeng Yuan
- Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
| | - Jorge Almagro
- Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA
| | - Elaine Fuchs
- Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, New York, NY, USA.
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23
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Schmitz M, Kaltheuner IH, Anand K, Düster R, Moecking J, Monastyrskyi A, Duckett DR, Roush WR, Geyer M. The reversible inhibitor SR-4835 binds Cdk12/cyclin K in a noncanonical G-loop conformation. J Biol Chem 2024; 300:105501. [PMID: 38016516 PMCID: PMC10767194 DOI: 10.1016/j.jbc.2023.105501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/23/2023] [Accepted: 11/08/2023] [Indexed: 11/30/2023] Open
Abstract
Inhibition of cyclin-dependent kinases (CDKs) has evolved as an emerging anticancer strategy. In addition to the cell cycle-regulating CDKs, the transcriptional kinases Cdk12 and Cdk13 have become the focus of interest as they mediate a variety of functions, including the transition from transcription initiation to elongation and termination, precursor mRNA splicing, and intronic polyadenylation. Here, we determine the crystal structure of the small molecular inhibitor SR-4835 bound to the Cdk12/cyclin K complex at 2.68 Å resolution. The compound's benzimidazole moiety is embedded in a unique hydrogen bond network mediated by the kinase hinge region with flanking hydroxy groups of the Y815 and D819 side chains. Whereas the SR-4835 head group targets the adenine-binding pocket, the kinase's glycine-rich loop is shifted down toward the activation loop. Additionally, the αC-helix adopts an inward conformation, and the phosphorylated T-loop threonine interacts with all three canonical arginines, a hallmark of CDK activation that is altered in Cdk12 and Cdk13. Dose-response inhibition measurements with recombinant CMGC kinases show that SR-4835 is highly specific for Cdk12 and Cdk13 following a 10-fold lower potency for Cdk10. Whereas other CDK-targeting compounds exhibit tighter binding affinities and higher potencies for kinase inhibition, SR-4835 can be considered a selective transcription elongation antagonist. Our results provide the basis for a rational improvement of SR-4835 toward Cdk12 inhibition and a gain in selectivity over other transcription regulating CDKs.
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Affiliation(s)
| | | | - Kanchan Anand
- Institute of Structural Biology, University of Bonn, Bonn, Germany
| | - Robert Düster
- Institute of Structural Biology, University of Bonn, Bonn, Germany
| | - Jonas Moecking
- Institute of Structural Biology, University of Bonn, Bonn, Germany
| | | | - Derek R Duckett
- Department of Drug Discovery, Moffitt Cancer Center, Tampa, Florida, USA
| | - William R Roush
- Department of Chemistry, The Scripps Research Institute, Jupiter, Florida, USA
| | - Matthias Geyer
- Institute of Structural Biology, University of Bonn, Bonn, Germany.
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24
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Pluta AJ, Studniarek C, Murphy S, Norbury CJ. Cyclin-dependent kinases: Masters of the eukaryotic universe. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 15:e1816. [PMID: 37718413 PMCID: PMC10909489 DOI: 10.1002/wrna.1816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/21/2023] [Accepted: 08/03/2023] [Indexed: 09/19/2023]
Abstract
A family of structurally related cyclin-dependent protein kinases (CDKs) drives many aspects of eukaryotic cell function. Much of the literature in this area has considered individual members of this family to act primarily either as regulators of the cell cycle, the context in which CDKs were first discovered, or as regulators of transcription. Until recently, CDK7 was the only clear example of a CDK that functions in both processes. However, new data points to several "cell-cycle" CDKs having important roles in transcription and some "transcriptional" CDKs having cell cycle-related targets. For example, novel functions in transcription have been demonstrated for the archetypal cell cycle regulator CDK1. The increasing evidence of the overlap between these two CDK types suggests that they might play a critical role in coordinating the two processes. Here we review the canonical functions of cell-cycle and transcriptional CDKs, and provide an update on how these kinases collaborate to perform important cellular functions. We also provide a brief overview of how dysregulation of CDKs contributes to carcinogenesis, and possible treatment avenues. This article is categorized under: RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes RNA Processing > 3' End Processing RNA Processing > Splicing Regulation/Alternative Splicing.
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Affiliation(s)
| | | | - Shona Murphy
- Sir William Dunn School of PathologyUniversity of OxfordOxfordUK
| | - Chris J. Norbury
- Sir William Dunn School of PathologyUniversity of OxfordOxfordUK
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25
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