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Yang W, Hong L, Guo L, Wang Y, Han X, Han B, Xing Z, Zhang G, Zhou H, Chen C, Ling H, Shao Z, Hu X. Targeting SNRNP200-induced splicing dysregulation offers an immunotherapy opportunity for glycolytic triple-negative breast cancer. Cell Discov 2024; 10:96. [PMID: 39285160 PMCID: PMC11405407 DOI: 10.1038/s41421-024-00715-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 07/17/2024] [Indexed: 09/22/2024] Open
Abstract
Metabolic dysregulation is prominent in triple-negative breast cancer (TNBC), yet therapeutic strategies targeting cancer metabolism are limited. Here, utilizing multiomics data from our TNBC cohort (n = 465), we demonstrated widespread splicing deregulation and increased spliceosome abundance in the glycolytic TNBC subtype. We identified SNRNP200 as a crucial mediator of glucose-driven metabolic reprogramming. Mechanistically, glucose induces acetylation at SNRNP200 K1610, preventing its proteasomal degradation. Augmented SNRNP200 then facilitates splicing key metabolic enzyme-encoding genes (GAPDH, ALDOA, and GSS), leading to increased lactic acid and glutathione production. Targeting SNRNP200 with antisense oligonucleotide therapy impedes tumor metabolism and enhances the efficacy of anti-PD-1 therapy by activating intratumoral CD8+ T cells while suppressing regulatory T cells. Clinically, higher SNRNP200 levels indicate an inferior response to immunotherapy in glycolytic TNBCs. Overall, our study revealed the intricate interplay between RNA splicing and metabolic dysregulation, suggesting an innovative combination strategy for immunotherapy in glycolytic TNBCs.
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Affiliation(s)
- Wenxiao Yang
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Luo Hong
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Linwei Guo
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yunjin Wang
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiangchen Han
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Boyue Han
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zheng Xing
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Guoliang Zhang
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Hongxia Zhou
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chao Chen
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Hong Ling
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhimin Shao
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xin Hu
- Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
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Li X, Zhong S, Li C, Yan X, Zhu J, Li Y, Wang Z, Peng X, Zhang X. RNA helicase Brr2a promotes miRNA biogenesis by properly remodelling secondary structure of pri-miRNAs. NATURE PLANTS 2024:10.1038/s41477-024-01788-8. [PMID: 39271943 DOI: 10.1038/s41477-024-01788-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 08/14/2024] [Indexed: 09/15/2024]
Abstract
RNA secondary structure (RSS) of primary microRNAs (pri-miRNAs) is a key determinant for miRNA production. Here we report that RNA helicase (RH) Brr2a, best known as a spliceosome component, modulates the structural complexity of pri-miRNAs to fine tune miRNA yield. Brr2a interacts with microprocessor component HYL1 and its loss reduces the levels of miRNAs derived from both intron-containing and intron-lacking pri-miRNAs. Brr2a binds to pri-miRNAs in vivo and in vitro. Furthermore, Brr2a hydrolyses ATP and the activity can be significantly enhanced by pri-miRNAs. Consequently, Brr2a unwinds pri-miRNAs in vitro. Moreover, Brr2a variants with compromised ATPase or RH activity are incapable of unwinding pri-miRNA, and their transgenic plants fail to restore miRNA levels in brr2a-2. Importantly, most of tested pri-miRNAs display distinct RSS, rendering them unsuitable for efficient processing in brr2a mutants vs Col-0. Collectively, this study reveals that Brr2a plays a non-canonical role in miRNA production beyond splicing regulation.
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Affiliation(s)
- Xindi Li
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Songxiao Zhong
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
| | - Changhao Li
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Xingxing Yan
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Jiaying Zhu
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA
| | - Yanjun Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, China
| | - Zhiye Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Xu Peng
- Department of Medical Physiology, College of Medicine, Texas A&M University, College Station, TX, USA
| | - Xiuren Zhang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
- Department of Biology, Texas A&M University, College Station, TX, USA.
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3
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Fu X, Hoskins AA. Dynamics and Evolutionary Conservation of B Complex Protein Recruitment During Spliceosome Activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.08.606642. [PMID: 39149324 PMCID: PMC11326307 DOI: 10.1101/2024.08.08.606642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Spliceosome assembly and catalytic site formation (called activation) involve dozens of protein and snRNA binding and unbinding events. The B-complex specific proteins Prp38, Snu23, and Spp381 have critical roles in stabilizing the spliceosome during conformational changes essential for activation. While these proteins are conserved, different mechanisms have been proposed for their recruitment to spliceosomes. To visualize recruitment directly, we used Colocalization Single Molecule Spectroscopy (CoSMoS) to study the dynamics of Prp38, Snu23, and Spp381 during splicing in real time. These proteins bind to and release from spliceosomes simultaneously and are likely associated with one another. We designate the complex of Prp38, Snu23, and Spp381 as the B Complex Protein (BCP) subcomplex. Under splicing conditions, the BCP associates with pre-mRNA after tri-snRNP binding. BCP release predominantly occurs after U4 snRNP dissociation and after NineTeen Complex (NTC) association. Under low concentrations of ATP, the BCP pre-associates with the tri-snRNP resulting in their simultaneous binding to pre-mRNA. Together, our results reveal that the BCP recruitment pathway to the spliceosome is conserved between S. cerevisiae and humans. Binding of the BCP to the tri-snRNP when ATP is limiting may result in formation of unproductive complexes that could be used to regulate splicing.
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Affiliation(s)
- Xingyang Fu
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Current Address: Department of Neuroscience, Yale University, New Haven, CT, 06520, USA
| | - Aaron A. Hoskins
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA
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4
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Chen Y, Dawes R, Kim HC, Ljungdahl A, Stenton SL, Walker S, Lord J, Lemire G, Martin-Geary AC, Ganesh VS, Ma J, Ellingford JM, Delage E, D'Souza EN, Dong S, Adams DR, Allan K, Bakshi M, Baldwin EE, Berger SI, Bernstein JA, Bhatnagar I, Blair E, Brown NJ, Burrage LC, Chapman K, Coman DJ, Compton AG, Cunningham CA, D'Souza P, Danecek P, Délot EC, Dias KR, Elias ER, Elmslie F, Evans CA, Ewans L, Ezell K, Fraser JL, Gallacher L, Genetti CA, Goriely A, Grant CL, Haack T, Higgs JE, Hinch AG, Hurles ME, Kuechler A, Lachlan KL, Lalani SR, Lecoquierre F, Leitão E, Fevre AL, Leventer RJ, Liebelt JE, Lindsay S, Lockhart PJ, Ma AS, Macnamara EF, Mansour S, Maurer TM, Mendez HR, Metcalfe K, Montgomery SB, Moosajee M, Nassogne MC, Neumann S, O'Donoghue M, O'Leary M, Palmer EE, Pattani N, Phillips J, Pitsava G, Pysar R, Rehm HL, Reuter CM, Revencu N, Riess A, Rius R, Rodan L, Roscioli T, Rosenfeld JA, Sachdev R, Shaw-Smith CJ, Simons C, Sisodiya SM, Snell P, St Clair L, Stark Z, Stewart HS, Tan TY, Tan NB, Temple SEL, Thorburn DR, Tifft CJ, Uebergang E, VanNoy GE, Vasudevan P, Vilain E, Viskochil DH, Wedd L, Wheeler MT, White SM, Wojcik M, Wolfe LA, Wolfenson Z, Wright CF, Xiao C, Zocche D, Rubenstein JL, Markenscoff-Papadimitriou E, Fica SM, Baralle D, Depienne C, MacArthur DG, Howson JMM, Sanders SJ, O'Donnell-Luria A, Whiffin N. De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome. Nature 2024; 632:832-840. [PMID: 38991538 PMCID: PMC11338827 DOI: 10.1038/s41586-024-07773-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 07/02/2024] [Indexed: 07/13/2024]
Abstract
Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 115 individuals with NDD. Most individuals (77.4%) have the same highly recurrent single base insertion (n.64_65insT). In 54 individuals in whom it could be determined, the de novo variants were all on the maternal allele. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to RNU4-1 and other U4 homologues. Using RNA sequencing, we show how 5' splice-site use is systematically disrupted in individuals with RNU4-2 variants, consistent with the known role of this region during spliceosome activation. Finally, we estimate that variants in this 18 base pair region explain 0.4% of individuals with NDD. This work underscores the importance of non-coding genes in rare disorders and will provide a diagnosis to thousands of individuals with NDD worldwide.
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Affiliation(s)
- Yuyang Chen
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ruebena Dawes
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Hyung Chul Kim
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alicia Ljungdahl
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Sarah L Stenton
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Jenny Lord
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Gabrielle Lemire
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexandra C Martin-Geary
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Vijay S Ganesh
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jialan Ma
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jamie M Ellingford
- Genomics England, London, UK
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicines and Health, University of Manchester, Manchester, UK
| | - Erwan Delage
- Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Elston N D'Souza
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Shan Dong
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - David R Adams
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Kirsten Allan
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Madhura Bakshi
- Department of Clinical Genetics, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Erin E Baldwin
- Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Seth I Berger
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC, USA
- Division of Genetics and Metabolism, Children's National Hospital, Washington, DC, USA
| | - Jonathan A Bernstein
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
| | - Ishita Bhatnagar
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Ed Blair
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Natasha J Brown
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Lindsay C Burrage
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Kimberly Chapman
- Division of Genetics and Metabolism, Children's National Hospital, Washington, DC, USA
| | - David J Coman
- Department of Metabolic Medicine, Queensland Children's Hospital, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
- School of Medicine, Griffith university, Gold Coast, Queensland, Australia
| | - Alison G Compton
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Chloe A Cunningham
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Precilla D'Souza
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Petr Danecek
- Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Emmanuèle C Délot
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC, USA
| | - Kerith-Rae Dias
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ellen R Elias
- Department of Pediatrics, Children's Hospital Colorado, Aurora, CO, USA
- University of Colorado School of Medicine, University of Colorado, Aurora, CO, USA
| | - Frances Elmslie
- South West Thames Centre for Genomics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Care-Anne Evans
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Lisa Ewans
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Centre for Clinical Genetics, Sydney Children's Hospitals Network, Randwick, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, North South Wales, Australia
| | - Kimberly Ezell
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jamie L Fraser
- Center for Genetic Medicine Research, Children's National Research Institute, Washington, DC, USA
- Division of Genetics and Metabolism, Children's National Hospital, Washington, DC, USA
| | - Lyndon Gallacher
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Casie A Genetti
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anne Goriely
- MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- NIHR Biomedical Research Centre, Oxford, UK
| | - Christina L Grant
- Division of Genetics and Metabolism, Children's National Hospital, Washington, DC, USA
| | - Tobias Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Rare Diseases Tübingen, University of Tübingen, Tübingen, Germany
| | - Jenny E Higgs
- Liverpool Centre for Genomic Medicine, Liverpool Women's Hospital, Liverpool, UK
| | - Anjali G Hinch
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Alma Kuechler
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Katherine L Lachlan
- Wessex Clinical Genetics Service, University Hospital Southampton NHS Trust, Southampton, UK
- Department of Human Genetics and Genomic Medicine, Southampton University, Southampton, UK
| | - Seema R Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - François Lecoquierre
- University of Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and Reference Center for Developmental Disorders, Rouen, France
| | - Elsa Leitão
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Anna Le Fevre
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Richard J Leventer
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Jan E Liebelt
- Paediatric and Reproductive Genetics Unit, South Australian Clinical Genetics Service, Women's and Children's Hospital, North Adelaide, South Australia, Australia
- Repromed, Dulwich, South Australia, Australia
| | - Sarah Lindsay
- Human Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Paul J Lockhart
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Alan S Ma
- Department of Clinical Genetics, Sydney Children's Hospitals Network Westmead, Sydney, New South Wales, Australia
- Specialty of Genomic Medicine, University of Sydney, Sydney, New South Wales, Australia
| | - Ellen F Macnamara
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Sahar Mansour
- South West Thames Centre for Genomics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Taylor M Maurer
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hector R Mendez
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Kay Metcalfe
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Stephen B Montgomery
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Department of Genetics, Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Mariya Moosajee
- UCL Institute of Ophthalmology, London, UK
- The Francis Crick Institute, London, UK
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Marie-Cécile Nassogne
- Service de Neurologie Pédiatrique, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
- Institut des Maladies Rares, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
| | - Serena Neumann
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Melanie O'Leary
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elizabeth E Palmer
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Centre for Clinical Genetics, Sydney Children's Hospitals Network, Randwick, New South Wales, Australia
| | - Nikhil Pattani
- South West Thames Centre for Genomics, St George's University Hospitals NHS Foundation Trust, London, UK
| | - John Phillips
- Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Georgia Pitsava
- Institute for Clinical and Translational Research, University of California Irvine, Irvine, CA, USA
| | - Ryan Pysar
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Centre for Clinical Genetics, Sydney Children's Hospitals Network, Randwick, New South Wales, Australia
- Department of Clinical Genetics, The Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Heidi L Rehm
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M Reuter
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nicole Revencu
- Center for Human Genetics, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Angelika Riess
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Rocio Rius
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Lance Rodan
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tony Roscioli
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Rani Sachdev
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Centre for Clinical Genetics, Sydney Children's Hospitals Network, Randwick, New South Wales, Australia
| | - Charles J Shaw-Smith
- Department of Clinical Genetics, Peninsula Regional Clinical Genetics Service, Royal Devon University Hospital, Exeter, UK
| | - Cas Simons
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- UK and Chalfont Centre for Epilepsy, Chalfont St Peter, UK
| | - Penny Snell
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Laura St Clair
- Department of Clinical Genetics, Sydney Children's Hospitals Network Westmead, Sydney, New South Wales, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Helen S Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Tiong Yang Tan
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Natalie B Tan
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Suzanna E L Temple
- Department of Clinical Genetics, Liverpool Hospital, Sydney, New South Wales, Australia
- School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia
| | - David R Thorburn
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Cynthia J Tifft
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Eloise Uebergang
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Grace E VanNoy
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Pradeep Vasudevan
- Medical Genetics, University of Leicester, Leicester Royal Infirmary, Leicester, UK
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California Irvine, Irvine, CA, USA
| | - David H Viskochil
- Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Laura Wedd
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Matthew T Wheeler
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Susan M White
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Monica Wojcik
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lynne A Wolfe
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Zoe Wolfenson
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Caroline F Wright
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Changrui Xiao
- Department of Neurology, University of California Irvine, Irvine, CA, USA
| | - David Zocche
- North West Thames Regional Genetics Service, Northwick Park and St Mark's Hospitals, London, UK
| | - John L Rubenstein
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Eirene Markenscoff-Papadimitriou
- Department of Psychiatry, Langley Porter Psychiatric Institute, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Diana Baralle
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Daniel G MacArthur
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Joanna M M Howson
- Human Genetics Centre of Excellence, Novo Nordisk Research Centre, Oxford, UK
| | - Stephan J Sanders
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Anne O'Donnell-Luria
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicola Whiffin
- Big Data Institute, University of Oxford, Oxford, UK.
- Centre for Human Genetics, University of Oxford, Oxford, UK.
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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5
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Greene D, Thys C, Berry IR, Jarvis J, Ortibus E, Mumford AD, Freson K, Turro E. Mutations in the U4 snRNA gene RNU4-2 cause one of the most prevalent monogenic neurodevelopmental disorders. Nat Med 2024; 30:2165-2169. [PMID: 38821540 PMCID: PMC11333284 DOI: 10.1038/s41591-024-03085-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 05/23/2024] [Indexed: 06/02/2024]
Abstract
Most people with intellectual disability (ID) do not receive a molecular diagnosis following genetic testing. To identify new etiologies of ID, we performed a genetic association analysis comparing the burden of rare variants in 41,132 noncoding genes between 5,529 unrelated cases and 46,401 unrelated controls. RNU4-2, which encodes U4 small nuclear RNA, a critical component of the spliceosome, was the most strongly associated gene. We implicated de novo variants among 47 cases in two regions of RNU4-2 in the etiology of a syndrome characterized by ID, microcephaly, short stature, hypotonia, seizures and motor delay. We replicated this finding in three collections, bringing the number of unrelated cases to 73. Analysis of national genomic diagnostic data showed RNU4-2 to be a more common etiological gene for neurodevelopmental abnormality than any previously reported autosomal gene. Our findings add to the growing evidence of spliceosome dysfunction in the etiologies of neurological disorders.
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Affiliation(s)
- Daniel Greene
- Department of Medicine, University of Cambridge, Cambridge, UK
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chantal Thys
- Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, KU Leuven, Leuven, Belgium
| | - Ian R Berry
- NHS South West Genomic Laboratory Hub, Southmead Hospital, Bristol, UK
- NHS South West Genomic Medicine Service Alliance, Bristol, UK
| | - Joanna Jarvis
- Clinical Genetics Unit, Birmingham Women's Hospital, Birmingham, UK
| | - Els Ortibus
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Paediatric Neurology Department, University Hospitals of KU Leuven, Leuven, Belgium
| | - Andrew D Mumford
- NHS South West Genomic Medicine Service Alliance, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Kathleen Freson
- Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, KU Leuven, Leuven, Belgium
| | - Ernest Turro
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Schneider S, Brandina I, Peter D, Lagad S, Fraudeau A, Portell-Montserrat J, Tholen J, Zhao J, Galej WP. Structure of the human 20S U5 snRNP. Nat Struct Mol Biol 2024; 31:752-756. [PMID: 38467877 PMCID: PMC11102862 DOI: 10.1038/s41594-024-01250-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 02/14/2024] [Indexed: 03/13/2024]
Abstract
The 20S U5 small nuclear ribonucleoprotein particle (snRNP) is a 17-subunit RNA-protein complex and a precursor of the U4/U6.U5 tri-snRNP, the major building block of the precatalytic spliceosome. CD2BP2 is a hallmark protein of the 20S U5 snRNP, absent from the mature tri-snRNP. Here we report a high-resolution cryogenic electron microscopy structure of the 20S U5 snRNP, shedding light on the mutually exclusive interfaces utilized during tri-snRNP assembly and the role of the CD2BP2 in facilitating this process.
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Affiliation(s)
- Sarah Schneider
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
| | - Irina Brandina
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
| | - Daniel Peter
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
| | - Sonal Lagad
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
| | | | - Júlia Portell-Montserrat
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Research Institute of Molecular Pathology, Vienna BioCenter, Vienna, Austria
| | - Jonas Tholen
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
- Department of Structural Biology, Genentech Inc., South San Francisco, CA, USA
| | - Jiangfeng Zhao
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France
| | - Wojciech P Galej
- European Molecular Biology Laboratory, EMBL Grenoble, Grenoble, France.
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7
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Passmore LA, Zhang S. Mechanisms of transcription and RNA processing. Nat Struct Mol Biol 2024; 31:730-731. [PMID: 38744993 DOI: 10.1038/s41594-024-01312-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Affiliation(s)
| | - Suyang Zhang
- MRC Laboratory of Molecular Biology, Cambridge, UK.
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8
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Chen Y, Dawes R, Kim HC, Stenton SL, Walker S, Ljungdahl A, Lord J, Ganesh VS, Ma J, Martin-Geary AC, Lemire G, D’Souza EN, Dong S, Ellingford JM, Adams DR, Allan K, Bakshi M, Baldwin EE, Berger SI, Bernstein JA, Brown NJ, Burrage LC, Chapman K, Compton AG, Cunningham CA, D’Souza P, Délot EC, Dias KR, Elias ER, Evans CA, Ewans L, Ezell K, Fraser JL, Gallacher L, Genetti CA, Grant CL, Haack T, Kuechler A, Lalani SR, Leitão E, Fevre AL, Leventer RJ, Liebelt JE, Lockhart PJ, Ma AS, Macnamara EF, Maurer TM, Mendez HR, Montgomery SB, Nassogne MC, Neumann S, O’Leary M, Palmer EE, Phillips J, Pitsava G, Pysar R, Rehm HL, Reuter CM, Revencu N, Riess A, Rius R, Rodan L, Roscioli T, Rosenfeld JA, Sachdev R, Simons C, Sisodiya SM, Snell P, Clair L, Stark Z, Tan TY, Tan NB, Temple SEL, Thorburn DR, Tifft CJ, Uebergang E, VanNoy GE, Vilain E, Viskochil DH, Wedd L, Wheeler MT, White SM, Wojcik M, Wolfe LA, Wolfenson Z, Xiao C, Zocche D, Rubenstein JL, Markenscoff-Papadimitriou E, Fica SM, Baralle D, Depienne C, MacArthur DG, Howson JMM, Sanders SJ, O’Donnell-Luria A, Whiffin N. De novo variants in the non-coding spliceosomal snRNA gene RNU4-2 are a frequent cause of syndromic neurodevelopmental disorders. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.07.24305438. [PMID: 38645094 PMCID: PMC11030480 DOI: 10.1101/2024.04.07.24305438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Increasingly, large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here, we identify the non-coding RNA RNU4-2 as a novel syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 bp region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and Stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 119 individuals with NDD. The vast majority of individuals (77.3%) have the same highly recurrent single base-pair insertion (n.64_65insT). We estimate that variants in this region explain 0.41% of individuals with NDD. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to its contiguous counterpart RNU4-1 and other U4 homologs, supporting RNU4-2's role as the primary U4 transcript in the brain. Overall, this work underscores the importance of non-coding genes in rare disorders. It will provide a diagnosis to thousands of individuals with NDD worldwide and pave the way for the development of effective treatments for these individuals.
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Affiliation(s)
- Yuyang Chen
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ruebena Dawes
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Hyung Chul Kim
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Sarah L Stenton
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Alicia Ljungdahl
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
| | - Jenny Lord
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Vijay S Ganesh
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jialan Ma
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexandra C Martin-Geary
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gabrielle Lemire
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Elston N D’Souza
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Shan Dong
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
| | - Jamie M Ellingford
- Genomics England, London, UK
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicines and Health, University of Manchester, Manchester, UK
| | - David R Adams
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Kirsten Allan
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Madhura Bakshi
- Department of Clinical Genetics, Liverpool Hospital, Sydney, NSW, Australia
| | - Erin E Baldwin
- Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Seth I Berger
- Center for Genetic Medicine Research, Children’s National Research Institute, Washington, DC, USA
- Division of Genetics and Metabolism, Children’s National Hospital, Washington, DC, USA
| | - Jonathan A Bernstein
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
| | - Natasha J Brown
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Lindsay C Burrage
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Kimberly Chapman
- Division of Genetics and Metabolism, Children’s National Hospital, Washington, DC, USA
| | - Alison G Compton
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Chloe A Cunningham
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Precilla D’Souza
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Emmanuèle C Délot
- Center for Genetic Medicine Research, Children’s National Research Institute, Washington, DC, USA
| | - Kerith-Rae Dias
- Neuroscience Research Australia, Sydney, NSW, Australia
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Ellen R Elias
- Department of Pediatrics, Children’s Hospital Colorado, Aurora, CO, USA
- University of Colorado School of Medicine, University of Colorado, Aurora, CO, USA
| | - Carey-Anne Evans
- Neuroscience Research Australia, Sydney, NSW, Australia
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Lisa Ewans
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Centre for Clinical Genetics, Sydney Children’s Hospitals Network, Randwick, NSW, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Kimberly Ezell
- Division of Medical Genetics & Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jamie L Fraser
- Center for Genetic Medicine Research, Children’s National Research Institute, Washington, DC, USA
- Division of Genetics and Metabolism, Children’s National Hospital, Washington, DC, USA
| | - Lyndon Gallacher
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Casie A Genetti
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Christina L Grant
- Division of Genetics and Metabolism, Children’s National Hospital, Washington, DC, USA
| | - Tobias Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Rare Diseases Tübingen, University of Tübingen, Tübingen, Germany
| | - Alma Kuechler
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Seema R Lalani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Elsa Leitão
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Anna Le Fevre
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Richard J Leventer
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Royal Children’s Hospital, Melbourne, VIC, Australia
| | - Jan E Liebelt
- Paediatric and Reproductive Genetics Unit, South Australian Clinical Genetics Service, Women’s and Children’s Hospital, North Adelaide, SA, Australia
- Repromed, Dulwich, SA, Australia
| | - Paul J Lockhart
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Bruce Lefroy Centre, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Alan S Ma
- Department of Clinical Genetics, Sydney Children’s Hospitals Network Westmead, Sydney, NSW, Australia
- Specialty of Genomic Medicine, University of Sydney, Sydney, NSW, Australia
| | - Ellen F Macnamara
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Taylor M Maurer
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hector R Mendez
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen B Montgomery
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Department of Genetics, Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Marie-Cécile Nassogne
- Service de Neurologie Pédiatrique, Cliniques Universitaires Saint-Luc, UCLouvain, B-1200, Brussels, Belgium
- Institut des Maladies Rares, Cliniques Universitaires Saint-Luc, UCLouvain, B-1200, Brussels, Belgium
| | - Serena Neumann
- Division of Medical Genetics & Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Melanie O’Leary
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Elizabeth E Palmer
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Centre for Clinical Genetics, Sydney Children’s Hospitals Network, Randwick, NSW, Australia
| | - John Phillips
- Division of Medical Genetics & Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Georgia Pitsava
- Institute for Clinical and Translational Research, University of California, Irvine, CA, USA
| | - Ryan Pysar
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Centre for Clinical Genetics, Sydney Children’s Hospitals Network, Randwick, NSW, Australia
- Department of Clinical Genetics, The Children’s Hospital at Westmead, Westmead, NSW, Australia
| | - Heidi L Rehm
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M Reuter
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nicole Revencu
- Center for Human Genetics, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Angelika Riess
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Rocio Rius
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Lance Rodan
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tony Roscioli
- Neuroscience Research Australia, Sydney, NSW, Australia
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Rani Sachdev
- Discipline of Paediatrics and Child Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Centre for Clinical Genetics, Sydney Children’s Hospitals Network, Randwick, NSW, Australia
| | - Cas Simons
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- UK and Chalfont Centre for Epilepsy, Bucks, UK
| | - Penny Snell
- Bruce Lefroy Centre, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Laura Clair
- Department of Clinical Genetics, Sydney Children’s Hospitals Network Westmead, Sydney, NSW, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Tiong Yang Tan
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Natalie B Tan
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Suzanna EL Temple
- Department of Clinical Genetics, Liverpool Hospital, Sydney, NSW, Australia
- School of Women’s and Childrens’s Health, University of New South Wales, Sydney, NSW, Australia
| | - David R Thorburn
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Cynthia J Tifft
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Eloise Uebergang
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Grace E VanNoy
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California, Irvine, CA, USA
| | - David H Viskochil
- Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Laura Wedd
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Matthew T Wheeler
- GREGoR Stanford Site, Stanford University School of Medicine, Stanford, CA, USA
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine - Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Susan M White
- Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Monica Wojcik
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Manton Center for Orphan Disease Research, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lynne A Wolfe
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Zoe Wolfenson
- Undiagnosed Disesases Program, National Human Genome Research Institute, Bethesda, MD, USA
| | - Changrui Xiao
- Department of Neurology, University of California, Irvine, CA, USA
| | - David Zocche
- North West Thames Regional Genetics Service, Northwick Park & St Mark’s Hospitals, London, UK
| | - John L Rubenstein
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
| | - Eirene Markenscoff-Papadimitriou
- Department of Psychiatry, Langley Porter Psychiatric Institute, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
| | | | - Diana Baralle
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Daniel G MacArthur
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Joanna MM Howson
- Human Genetics Centre of Excellence, Novo Nordisk Research Centre, Oxford, UK
| | - Stephan J Sanders
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, USA
| | - Anne O’Donnell-Luria
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicola Whiffin
- Big Data Institute, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
- Broad Center for Mendelian Genomics, Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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9
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Li T, He J, Cao H, Zhang Y, Chen J, Xiao Y, Huang SY. All-atom RNA structure determination from cryo-EM maps. Nat Biotechnol 2024:10.1038/s41587-024-02149-8. [PMID: 38396075 DOI: 10.1038/s41587-024-02149-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
Many methods exist for determining protein structures from cryogenic electron microscopy maps, but this remains challenging for RNA structures. Here we developed EMRNA, a method for accurate, automated determination of full-length all-atom RNA structures from cryogenic electron microscopy maps. EMRNA integrates deep learning-based detection of nucleotides, three-dimensional backbone tracing and scoring with consideration of sequence and secondary structure information, and full-atom construction of the RNA structure. We validated EMRNA on 140 diverse RNA maps ranging from 37 to 423 nt at 2.0-6.0 Å resolutions, and compared EMRNA with auto-DRRAFTER, phenix.map_to_model and CryoREAD on a set of 71 cases. EMRNA achieves a median accuracy of 2.36 Å root mean square deviation and 0.86 TM-score for full-length RNA structures, compared with 6.66 Å and 0.58 for auto-DRRAFTER. EMRNA also obtains a high residue coverage and sequence match of 93.30% and 95.30% in the built models, compared with 58.20% and 42.20% for phenix.map_to_model and 56.45% and 52.3% for CryoREAD. EMRNA is fast and can build an RNA structure of 100 nt within 3 min.
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Affiliation(s)
- Tao Li
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahua He
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Cao
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Zhang
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China
| | - Ji Chen
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Xiao
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China.
| | - Sheng-You Huang
- School of Physics and Key Laboratory of Molecular Biophysics of MOE, Huazhong University of Science and Technology, Wuhan, China.
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10
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Pánek J, Roithová A, Radivojević N, Sýkora M, Prusty AB, Huston N, Wan H, Pyle AM, Fischer U, Staněk D. The SMN complex drives structural changes in human snRNAs to enable snRNP assembly. Nat Commun 2023; 14:6580. [PMID: 37852981 PMCID: PMC10584915 DOI: 10.1038/s41467-023-42324-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/06/2023] [Indexed: 10/20/2023] Open
Abstract
Spliceosomal snRNPs are multicomponent particles that undergo a complex maturation pathway. Human Sm-class snRNAs are generated as 3'-end extended precursors, which are exported to the cytoplasm and assembled together with Sm proteins into core RNPs by the SMN complex. Here, we provide evidence that these pre-snRNA substrates contain compact, evolutionarily conserved secondary structures that overlap with the Sm binding site. These structural motifs in pre-snRNAs are predicted to interfere with Sm core assembly. We model structural rearrangements that lead to an open pre-snRNA conformation compatible with Sm protein interaction. The predicted rearrangement pathway is conserved in Metazoa and requires an external factor that initiates snRNA remodeling. We show that the essential helicase Gemin3, which is a component of the SMN complex, is crucial for snRNA structural rearrangements during snRNP maturation. The SMN complex thus facilitates ATP-driven structural changes in snRNAs that expose the Sm site and enable Sm protein binding.
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Affiliation(s)
- Josef Pánek
- Laboratory of Bioinformatics, Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic.
| | - Adriana Roithová
- Laboratory of RNA Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
- Laboratory of Regulation of Gene Expression, Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
| | - Nenad Radivojević
- Laboratory of RNA Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
| | - Michal Sýkora
- Laboratory of RNA Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
| | | | - Nicholas Huston
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, USA
| | - Han Wan
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, USA
| | - Anna Marie Pyle
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, USA
- Department of Chemistry, Yale University, New Haven, USA
- Howard Hughes Medical Institute, Chevy Chase, USA
| | - Utz Fischer
- Department of Biochemistry, Theodor Boveri Institute, University of Würzburg, Würzburg, Germany
| | - David Staněk
- Laboratory of RNA Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic.
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11
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Black CS, Whelan TA, Garside EL, MacMillan AM, Fast NM, Rader SD. Spliceosome assembly and regulation: insights from analysis of highly reduced spliceosomes. RNA (NEW YORK, N.Y.) 2023; 29:531-550. [PMID: 36737103 PMCID: PMC10158995 DOI: 10.1261/rna.079273.122] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/06/2023] [Indexed: 05/06/2023]
Abstract
Premessenger RNA splicing is catalyzed by the spliceosome, a multimegadalton RNA-protein complex that assembles in a highly regulated process on each intronic substrate. Most studies of splicing and spliceosomes have been carried out in human or S. cerevisiae model systems. There exists, however, a large diversity of spliceosomes, particularly in organisms with reduced genomes, that suggests a means of analyzing the essential elements of spliceosome assembly and regulation. In this review, we characterize changes in spliceosome composition across phyla, describing those that are most frequently observed and highlighting an analysis of the reduced spliceosome of the red alga Cyanidioschyzon merolae We used homology modeling to predict what effect splicing protein loss would have on the spliceosome, based on currently available cryo-EM structures. We observe strongly correlated loss of proteins that function in the same process, for example, in interacting with the U1 snRNP (which is absent in C. merolae), regulation of Brr2, or coupling transcription and splicing. Based on our observations, we predict splicing in C. merolae to be inefficient, inaccurate, and post-transcriptional, consistent with the apparent trend toward its elimination in this lineage. This work highlights the striking flexibility of the splicing pathway and the spliceosome when viewed in the context of eukaryotic diversity.
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Affiliation(s)
- Corbin S Black
- Department of Chemistry and Biochemistry, University of Northern British Columbia, Prince George, British Columbia, Canada V2N 4Z9
- Department of Anatomy and Cell Biology, McGill University, Montréal, Quebec, Canada H3A 0C7
| | - Thomas A Whelan
- Biodiversity Research Center and Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
| | - Erin L Garside
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7
| | - Andrew M MacMillan
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada T6G 2H7
| | - Naomi M Fast
- Biodiversity Research Center and Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
| | - Stephen D Rader
- Department of Chemistry and Biochemistry, University of Northern British Columbia, Prince George, British Columbia, Canada V2N 4Z9
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12
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Makowczenko KG, Jastrzebski JP, Kiezun M, Paukszto L, Dobrzyn K, Smolinska N, Kaminski T. Adaptation of the Porcine Pituitary Transcriptome, Spliceosome and Editome during Early Pregnancy. Int J Mol Sci 2023; 24:ijms24065946. [PMID: 36983019 PMCID: PMC10053595 DOI: 10.3390/ijms24065946] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
The physiological mechanisms of the porcine reproduction are relatively well-known. However, transcriptomic changes and the mechanisms accompanying transcription and translation processes in various reproductive organs, as well as their dependence on hormonal status, are still poorly understood. The aim of this study was to gain a principal understanding of alterations within the transcriptome, spliceosome and editome occurring in the pituitary of the domestic pig (Sus scrofa domestica L.), which controls basic physiological processes in the reproductive system. In this investigation, we performed extensive analyses of data obtained by high-throughput sequencing of RNA from the gilts' pituitary anterior lobes during embryo implantation and the mid-luteal phase of the estrous cycle. During analyses, we obtained detailed information on expression changes of 147 genes and 43 long noncoding RNAs, observed 784 alternative splicing events and also found the occurrence of 8729 allele-specific expression sites and 122 RNA editing events. The expression profiles of the selected 16 phenomena were confirmed by PCR or qPCR techniques. As a final result of functional meta-analysis, we acquired knowledge regarding intracellular pathways that induce changes in the processes accompanying transcription and translation regulation, which may induce modifications in the secretory activity of the porcine adenohypophyseal cells.
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Affiliation(s)
- Karol G Makowczenko
- Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland
| | - Jan P Jastrzebski
- Department of Plant Physiology, Genetics and Biotechnology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland
| | - Marta Kiezun
- Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland
| | - Lukasz Paukszto
- Department of Botany and Nature Protection, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Plac Lodzki 1, 10-719 Olsztyn, Poland
| | - Kamil Dobrzyn
- Department of Zoology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 5, 10-719 Olsztyn, Poland
| | - Nina Smolinska
- Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland
| | - Tadeusz Kaminski
- Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland
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13
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Best K, Ikeuchi K, Kater L, Best D, Musial J, Matsuo Y, Berninghausen O, Becker T, Inada T, Beckmann R. Structural basis for clearing of ribosome collisions by the RQT complex. Nat Commun 2023; 14:921. [PMID: 36801861 PMCID: PMC9938168 DOI: 10.1038/s41467-023-36230-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 01/18/2023] [Indexed: 02/19/2023] Open
Abstract
Translation of aberrant messenger RNAs can cause stalling of ribosomes resulting in ribosomal collisions. Collided ribosomes are specifically recognized to initiate stress responses and quality control pathways. Ribosome-associated quality control facilitates the degradation of incomplete translation products and requires dissociation of the stalled ribosomes. A central event is therefore the splitting of collided ribosomes by the ribosome quality control trigger complex, RQT, by an unknown mechanism. Here we show that RQT requires accessible mRNA and the presence of a neighboring ribosome. Cryogenic electron microscopy of RQT-ribosome complexes reveals that RQT engages the 40S subunit of the lead ribosome and can switch between two conformations. We propose that the Ski2-like helicase 1 (Slh1) subunit of RQT applies a pulling force on the mRNA, causing destabilizing conformational changes of the small ribosomal subunit, ultimately resulting in subunit dissociation. Our findings provide conceptual framework for a helicase-driven ribosomal splitting mechanism.
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Affiliation(s)
- Katharina Best
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Ken Ikeuchi
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Lukas Kater
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058, Basel, Switzerland
| | - Daniel Best
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Joanna Musial
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Yoshitaka Matsuo
- Division of RNA and gene regulation, Institute of Medical Science, The University of Tokyo, Minato-Ku, 108-8639, Japan
| | - Otto Berninghausen
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Thomas Becker
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany
| | - Toshifumi Inada
- Division of RNA and gene regulation, Institute of Medical Science, The University of Tokyo, Minato-Ku, 108-8639, Japan.
| | - Roland Beckmann
- Department of Biochemistry, Gene Center, Feodor-Lynen-Str. 25, University of Munich, 81377, Munich, Germany.
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14
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Jurich CP, Yesselman JD. Automated 3D Design and Evaluation of RNA Nanostructures with RNAMake. Methods Mol Biol 2023; 2586:251-261. [PMID: 36705909 DOI: 10.1007/978-1-0716-2768-6_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Despite growing interest in applying RNA's unique structural characteristics to solve diverse biotechnology and nanotechnology problems, there are few computational tools for targeted tertiary design. As a result, RNA 3D design is traditionally slow, resource-consuming, and dependent on expert modeling. In this chapter, we discuss our recently developed software package: RNAMake, a set of applications capable of designing RNA tertiary structures to solve various relevant nanotechnology problems and provide basic thermodynamic calculations for the generated designs. We provide in-depth examples and instructions for designing example RNA nanostructures such as minimal RNA sequences containing a single tertiary contact, generating RNAs that stabilize small-molecule ligands, and building tethers that link ribosomal subunits together. We also highlight the addition of a new Monte Carlo design algorithm and the ability to estimate the thermodynamic contribution of helical elements in RNA 3D structures.
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Affiliation(s)
- Chris P Jurich
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Joseph D Yesselman
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
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15
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DiIorio MC, Kulczyk AW. Exploring the Structural Variability of Dynamic Biological Complexes by Single-Particle Cryo-Electron Microscopy. MICROMACHINES 2022; 14:118. [PMID: 36677177 PMCID: PMC9866264 DOI: 10.3390/mi14010118] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/27/2022] [Accepted: 12/30/2022] [Indexed: 05/15/2023]
Abstract
Biological macromolecules and assemblies precisely rearrange their atomic 3D structures to execute cellular functions. Understanding the mechanisms by which these molecular machines operate requires insight into the ensemble of structural states they occupy during the functional cycle. Single-particle cryo-electron microscopy (cryo-EM) has become the preferred method to provide near-atomic resolution, structural information about dynamic biological macromolecules elusive to other structure determination methods. Recent advances in cryo-EM methodology have allowed structural biologists not only to probe the structural intermediates of biochemical reactions, but also to resolve different compositional and conformational states present within the same dataset. This article reviews newly developed sample preparation and single-particle analysis (SPA) techniques for high-resolution structure determination of intrinsically dynamic and heterogeneous samples, shedding light upon the intricate mechanisms employed by molecular machines and helping to guide drug discovery efforts.
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Affiliation(s)
- Megan C. DiIorio
- Institute for Quantitative Biomedicine, Rutgers University, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA
| | - Arkadiusz W. Kulczyk
- Institute for Quantitative Biomedicine, Rutgers University, 174 Frelinghuysen Road, Piscataway, NJ 08854, USA
- Department of Biochemistry and Microbiology, Rutgers University, 75 Lipman Drive, New Brunswick, NJ 08901, USA
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16
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Tholen J, Galej WP. Structural studies of the spliceosome: Bridging the gaps. Curr Opin Struct Biol 2022; 77:102461. [PMID: 36116369 PMCID: PMC9762485 DOI: 10.1016/j.sbi.2022.102461] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/05/2022] [Accepted: 08/07/2022] [Indexed: 02/07/2023]
Abstract
The spliceosome is a multi-megadalton RNA-protein complex responsible for the removal of non-coding introns from pre-mRNAs. Due to its complexity and dynamic nature, it has proven to be a very challenging target for structural studies. Developments in single particle cryo-EM have overcome these previous limitations and paved the way towards a structural characterisation of the splicing machinery. Despite tremendous progress, many aspects of spliceosome structure and function remain elusive. In particular, the events leading to the definition of exon-intron boundaries, alternative and non-canonical splicing events, and cross-talk with other cellular machineries. Efforts are being made to address these knowledge gaps and further our mechanistic understanding of the spliceosome. Here, we summarise recent progress in the structural and functional analysis of the spliceosome.
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Affiliation(s)
- J Tholen
- European Molecular Biology Laboratory, 71 Avenue des Martyrs, 38042 Grenoble, France. https://twitter.com/@Structjon
| | - W P Galej
- European Molecular Biology Laboratory, 71 Avenue des Martyrs, 38042 Grenoble, France.
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17
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Fan H, Sun F. Developing Graphene Grids for Cryoelectron Microscopy. Front Mol Biosci 2022; 9:937253. [PMID: 35911962 PMCID: PMC9326159 DOI: 10.3389/fmolb.2022.937253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
Cryogenic electron microscopy (cryo-EM) single particle analysis has become one of the major techniques used to study high-resolution 3D structures of biological macromolecules. Specimens are generally prepared in a thin layer of vitrified ice using a holey carbon grid. However, the sample quality using this type of grid is not always ideal for high-resolution imaging even when the specimens in the test tube behave ideally. Various problems occur during a vitrification procedure, including poor/nonuniform distribution of particles, preferred orientation of particles, specimen denaturation/degradation, high background from thick ice, and beam-induced motion, which have become important bottlenecks in high-resolution structural studies using cryo-EM in many projects. In recent years, grids with support films made of graphene and its derivatives have been developed to efficiently solve these problems. Here, the various advantages of graphene grids over conventional holey carbon film grids, functionalization of graphene support films, production methods of graphene grids, and origins of pristine graphene contamination are reviewed and discussed.
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Affiliation(s)
- Hongcheng Fan
- National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fei Sun
- National Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Bioland Laboratory, Guangzhou, China
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18
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Stanley RF, Abdel-Wahab O. Dysregulation and therapeutic targeting of RNA splicing in cancer. NATURE CANCER 2022; 3:536-546. [PMID: 35624337 PMCID: PMC9551392 DOI: 10.1038/s43018-022-00384-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/22/2022] [Indexed: 05/15/2023]
Abstract
High-throughput sequencing and functional characterization of the cancer transcriptome have uncovered cancer-specific dysregulation of RNA splicing across a variety of cancers. Alterations in the cancer genome and dysregulation of RNA splicing factors lead to missplicing, splicing alteration-dependent gene expression and, in some cases, generation of novel splicing-derived proteins. Here, we review recent advances in our understanding of aberrant splicing in cancer pathogenesis and present strategies to harness cancer-specific aberrant splicing for therapeutic intent.
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Affiliation(s)
- Robert F Stanley
- Human Oncology and Pathogenesis Program and Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program and Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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19
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Abstract
BACKGROUND: Alternative splicing is a mechanism to produce different proteins with diverse functions from one gene. Many splicing factors play an important role in cancer progression. PRPF8 is a core protein component of the spliceosome complex, U4/U6-U5 tri-snRNP. OBJECTIVE: However, PRPF8 involved in mRNA alternative splicing are rarely included in the prognosis. METHODS: We found that PRPF8 was expressed in all examined cancer types. Further analyses found that PRPF8 expression was significantly different between the breast cancer and paracancerous tissues. RESULTS: Survival analyses showed that PRPF8-high patients had a poor prognosis, and the expression of PRPF8 is associated with distant metastasis-free survival (DMFS) and post progression survival (PPS). Gene Set Enrichment Analysis (GSEA) has revealed that PRPF8 expression is correlated with TGF-β, JAK-STAT, and cell cycle control pathways. Consistent with these results, upon PRPF8 silencing, the growth of MCF-7 cells was reduced, the ability of cell clone formation was weakened, and p21 expression was increased. CONCLUSIONS: These results have revealed that PRPF8 is a significant factor for splicing in breast cancer progression.
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Affiliation(s)
- Difei Cao
- Institute of Advanced Technology, Heilongjiang Academy of Sciences, Harbin, Heilongjiang, China
| | - Jiaying Xue
- Institute of Advanced Technology, Heilongjiang Academy of Sciences, Harbin, Heilongjiang, China
| | - Guoqing Huang
- Institute of Advanced Technology, Heilongjiang Academy of Sciences, Harbin, Heilongjiang, China
| | - Jing An
- Institute of Cancer Prevention and Treatment, Heilongjiang Province Academy of Medical Sciences, Harbin, Heilongjiang, China
| | - Weiwei An
- Institute of Cancer Prevention and Treatment, Heilongjiang Province Academy of Medical Sciences, Harbin, Heilongjiang, China
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20
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El Fatimy R, Zhang Y, Deforzh E, Ramadas M, Saravanan H, Wei Z, Rabinovsky R, Teplyuk NM, Uhlmann EJ, Krichevsky AM. A nuclear function for an oncogenic microRNA as a modulator of snRNA and splicing. Mol Cancer 2022; 21:17. [PMID: 35033060 PMCID: PMC8760648 DOI: 10.1186/s12943-022-01494-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 12/23/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND miRNAs are regulatory transcripts established as repressors of mRNA stability and translation that have been functionally implicated in carcinogenesis. miR-10b is one of the key onco-miRs associated with multiple forms of cancer. Malignant gliomas exhibit particularly striking dependence on miR-10b. However, despite the therapeutic potential of miR-10b targeting, this miRNA's poorly investigated and largely unconventional properties hamper the clinical translation. METHODS We utilized Covalent Ligation of Endogenous Argonaute-bound RNAs and their high-throughput RNA sequencing to identify miR-10b interactome and a combination of biochemical and imaging approaches for target validation. They included Crosslinking and RNA immunoprecipitation with spliceosomal proteins, a combination of miRNA FISH with protein immunofluorescence in glioma cells and patient-derived tumors, native Northern blotting, and the transcriptome-wide analysis of alternative splicing. RESULTS We demonstrate that miR-10b binds to U6 snRNA, a core component of the spliceosomal machinery. We provide evidence of the direct binding between miR-10b and U6, in situ imaging of miR-10b and U6 co-localization in glioma cells and tumors, and biochemical co-isolation of miR-10b with the components of the spliceosome. We further demonstrate that miR-10b modulates U6 N-6-adenosine methylation and pseudouridylation, U6 binding to splicing factors SART3 and PRPF8, and regulates U6 stability, conformation, and levels. These effects on U6 result in global splicing alterations, exemplified by the altered ratio of the isoforms of a small GTPase CDC42, reduced overall CDC42 levels, and downstream CDC42 -mediated effects on cell viability. CONCLUSIONS We identified U6 snRNA, the key RNA component of the spliceosome, as the top miR-10b target in glioblastoma. We, therefore, present an unexpected intersection of the miRNA and splicing machineries and a new nuclear function for a major cancer-associated miRNA.
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Affiliation(s)
- Rachid El Fatimy
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
- Current Address: Institute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), 43150, Benguerir, Morocco
| | - Yanhong Zhang
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Evgeny Deforzh
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Mahalakshmi Ramadas
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Harini Saravanan
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Zhiyun Wei
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
- Current Address: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Rosalia Rabinovsky
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Nadiya M Teplyuk
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Erik J Uhlmann
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA
| | - Anna M Krichevsky
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, 60 Fenwood Rd, Room 9002T, Boston, MA, 02115, USA.
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21
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Leung AKW, Kondo Y, Krummel DAP, Li J, Price SR, van Roon AMM. Engineering Crystal Packing in RNA-Protein Complexes II: A Historical Perspective from the Structural Studies of the Spliceosome. CRYSTALS 2021; 11:948. [PMID: 35154816 PMCID: PMC7612351 DOI: 10.3390/cryst11080948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Cryo-electron microscopy has greatly advanced our understanding of how the spliceosome cycles through different conformational states to conduct the chemical reactions that remove introns from pre-mRNA transcripts. The Cryo-EM structures were built upon decades of crystallographic studies of various spliceosomal RNA-protein complexes. In this review we give an overview of the crystal structures solved in the Nagai group, utilizing many of the strategies to design crystal packing as described in the accompanying paper.
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Affiliation(s)
- Adelaine Kwun-Wai Leung
- Department of Veterinary Biomedical Sciences, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
| | - Yasushi Kondo
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA
- California Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720, USA
| | - Daniel A. Pomeranz Krummel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Jade Li
- Structural Studies Division, MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
| | - Stephen R. Price
- Research Department of Cell and Developmental Biology, UCL Division of Biosciences, London WC1E 6DE, UK
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22
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Yang C, Georgiou M, Atkinson R, Collin J, Al-Aama J, Nagaraja-Grellscheid S, Johnson C, Ali R, Armstrong L, Mozaffari-Jovin S, Lako M. Pre-mRNA Processing Factors and Retinitis Pigmentosa: RNA Splicing and Beyond. Front Cell Dev Biol 2021; 9:700276. [PMID: 34395430 PMCID: PMC8355544 DOI: 10.3389/fcell.2021.700276] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 07/09/2021] [Indexed: 12/20/2022] Open
Abstract
Retinitis pigmentosa (RP) is the most common inherited retinal disease characterized by progressive degeneration of photoreceptors and/or retinal pigment epithelium that eventually results in blindness. Mutations in pre-mRNA processing factors (PRPF3, 4, 6, 8, 31, SNRNP200, and RP9) have been linked to 15–20% of autosomal dominant RP (adRP) cases. Current evidence indicates that PRPF mutations cause retinal specific global spliceosome dysregulation, leading to mis-splicing of numerous genes that are involved in a variety of retina-specific functions and/or general biological processes, including phototransduction, retinol metabolism, photoreceptor disk morphogenesis, retinal cell polarity, ciliogenesis, cytoskeleton and tight junction organization, waste disposal, inflammation, and apoptosis. Importantly, additional PRPF functions beyond RNA splicing have been documented recently, suggesting a more complex mechanism underlying PRPF-RPs driven disease pathogenesis. The current review focuses on the key RP-PRPF genes, depicting the current understanding of their roles in RNA splicing, impact of their mutations on retinal cell’s transcriptome and phenome, discussed in the context of model species including yeast, zebrafish, and mice. Importantly, information on PRPF functions beyond RNA splicing are discussed, aiming at a holistic investigation of PRPF-RP pathogenesis. Finally, work performed in human patient-specific lab models and developing gene and cell-based replacement therapies for the treatment of PRPF-RPs are thoroughly discussed to allow the reader to get a deeper understanding of the disease mechanisms, which we believe will facilitate the establishment of novel and better therapeutic strategies for PRPF-RP patients.
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Affiliation(s)
- Chunbo Yang
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Maria Georgiou
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Robert Atkinson
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Joseph Collin
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jumana Al-Aama
- Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | - Colin Johnson
- Leeds Institute of Molecular Medicine, University of Leeds, Leeds, United Kingdom
| | - Robin Ali
- King's College London, London, United Kingdom
| | - Lyle Armstrong
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sina Mozaffari-Jovin
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Majlinda Lako
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
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23
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Artemyeva-Isman OV, Porter ACG. U5 snRNA Interactions With Exons Ensure Splicing Precision. Front Genet 2021; 12:676971. [PMID: 34276781 PMCID: PMC8283771 DOI: 10.3389/fgene.2021.676971] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Abstract
Imperfect conservation of human pre-mRNA splice sites is necessary to produce alternative isoforms. This flexibility is combined with the precision of the message reading frame. Apart from intron-termini GU_AG and the branchpoint A, the most conserved are the exon-end guanine and +5G of the intron start. Association between these guanines cannot be explained solely by base-pairing with U1 snRNA in the early spliceosome complex. U6 succeeds U1 and pairs +5G in the pre-catalytic spliceosome, while U5 binds the exon end. Current U5 snRNA reconstructions by CryoEM cannot explain the conservation of the exon-end G. Conversely, human mutation analyses show that guanines of both exon termini can suppress splicing mutations. Our U5 hypothesis explains the mechanism of splicing precision and the role of these conserved guanines in the pre-catalytic spliceosome. We propose: (1) optimal binding register for human exons and U5-the exon junction positioned at U5Loop1 C39|C38; (2) common mechanism for base-pairing of human U5 snRNA with diverse exons and bacterial Ll.LtrB intron with new loci in retrotransposition-guided by base pair geometry; and (3) U5 plays a significant role in specific exon recognition in the pre-catalytic spliceosome. Statistical analyses showed increased U5 Watson-Crick pairs with the 5'exon in the absence of +5G at the intron start. In 5'exon positions -3 and -5, this effect is specific to U5 snRNA rather than U1 snRNA of the early spliceosome. Increased U5 Watson-Crick pairs with 3'exon position +1 coincide with substitutions of the conserved -3C at the intron 3'end. Based on mutation and X-ray evidence, we propose that -3C pairs with U2 G31 juxtaposing the branchpoint and the 3'intron end. The intron-termini pair, formed in the pre-catalytic spliceosome to be ready for transition after branching, and the early involvement of the 3'intron end ensure that the 3'exon contacts U5 in the pre-catalytic complex. We suggest that splicing precision is safeguarded cooperatively by U5, U6, and U2 snRNAs that stabilize the pre-catalytic complex by Watson-Crick base pairing. In addition, our new U5 model explains the splicing effect of exon-start +1G mutations: U5 Watson-Crick pairs with exon +2C/+3G strongly promote exon inclusion. We discuss potential applications for snRNA therapeutics and gene repair by reverse splicing.
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Affiliation(s)
- Olga V Artemyeva-Isman
- Gene Targeting Group, Centre for Haematology, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Andrew C G Porter
- Gene Targeting Group, Centre for Haematology, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
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24
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Absmeier E, Vester K, Ghane T, Burakovskiy D, Milon P, Imhof P, Rodnina MV, Santos KF, Wahl MC. Long-range allostery mediates cooperative adenine nucleotide binding by the Ski2-like RNA helicase Brr2. J Biol Chem 2021; 297:100829. [PMID: 34048711 PMCID: PMC8220420 DOI: 10.1016/j.jbc.2021.100829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/18/2021] [Accepted: 05/24/2021] [Indexed: 11/17/2022] Open
Abstract
Brr2 is an essential Ski2-like RNA helicase that exhibits a unique structure among the spliceosomal helicases. Brr2 harbors a catalytically active N-terminal helicase cassette and a structurally similar but enzymatically inactive C-terminal helicase cassette connected by a linker region. Both cassettes contain a nucleotide-binding pocket, but it is unclear whether nucleotide binding in these two pockets is related. Here we use biophysical and computational methods to delineate the functional connectivity between the cassettes and determine whether occupancy of one nucleotide-binding site may influence nucleotide binding at the other cassette. Our results show that Brr2 exhibits high specificity for adenine nucleotides, with both cassettes binding ADP tighter than ATP. Adenine nucleotide affinity for the inactive C-terminal cassette is more than two orders of magnitude higher than that of the active N-terminal cassette, as determined by slow nucleotide release. Mutations at the intercassette surfaces and in the connecting linker diminish the affinity of adenine nucleotides for both cassettes. Moreover, we found that abrogation of nucleotide binding at the C-terminal cassette reduces nucleotide binding at the N-terminal cassette 70 Å away. Molecular dynamics simulations identified structural communication lines that likely mediate these long-range allosteric effects, predominantly across the intercassette interface. Together, our results reveal intricate networks of intramolecular interactions in the complex Brr2 RNA helicase, which fine-tune its nucleotide affinities and which could be exploited to regulate enzymatic activity during splicing.
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Affiliation(s)
- Eva Absmeier
- Structural Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Karen Vester
- Structural Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Tahereh Ghane
- Computational Biophysics, Freie Universität Berlin, Berlin, Germany
| | - Dmitry Burakovskiy
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Pohl Milon
- Centre for Research and Innovation, Health Sciences Faculty, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Petra Imhof
- Computational Biophysics, Freie Universität Berlin, Berlin, Germany
| | - Marina V Rodnina
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Karine F Santos
- Structural Biochemistry, Freie Universität Berlin, Berlin, Germany.
| | - Markus C Wahl
- Structural Biochemistry, Freie Universität Berlin, Berlin, Germany; Macromolecular Crystallography, Helmholtz-Zentrum Berlin für Materialien und Energie, Berlin, Germany.
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25
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Yeh FL, Chang SL, Ahmed GR, Liu HI, Tung L, Yeh CS, Lanier LS, Maeder C, Lin CM, Tsai SC, Hsiao WY, Chang WH, Chang TH. Activation of Prp28 ATPase by phosphorylated Npl3 at a critical step of spliceosome remodeling. Nat Commun 2021; 12:3082. [PMID: 34035302 PMCID: PMC8149812 DOI: 10.1038/s41467-021-23459-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 04/29/2021] [Indexed: 11/10/2022] Open
Abstract
Splicing, a key step in the eukaryotic gene-expression pathway, converts precursor messenger RNA (pre-mRNA) into mRNA by excising introns and ligating exons. This task is accomplished by the spliceosome, a macromolecular machine that must undergo sequential conformational changes to establish its active site. Each of these major changes requires a dedicated DExD/H-box ATPase, but how these enzymes are activated remain obscure. Here we show that Prp28, a yeast DEAD-box ATPase, transiently interacts with the conserved 5' splice-site (5'SS) GU dinucleotide and makes splicing-dependent contacts with the U1 snRNP protein U1C, and U4/U6.U5 tri-snRNP proteins, Prp8, Brr2, and Snu114. We further show that Prp28's ATPase activity is potentiated by the phosphorylated Npl3, but not the unphosphorylated Npl3, thus suggesting a strategy for regulating DExD/H-box ATPases. We propose that Npl3 is a functional counterpart of the metazoan-specific Prp28 N-terminal region, which can be phosphorylated and serves as an anchor to human spliceosome.
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Affiliation(s)
- Fu-Lung Yeh
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | | | | | - Hsin-I Liu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Luh Tung
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Chung-Shu Yeh
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Leah Stands Lanier
- Department of Biology, Washington and Lee University, Lexington, VA, USA
| | - Corina Maeder
- Department of Chemistry, Trinity University, San Antonio, TX, USA
| | - Che-Min Lin
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Shu-Chun Tsai
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Wan-Yi Hsiao
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Hau Chang
- Institute of Chemistry, Academia Sinica, Taipei, Taiwan
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26
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Biology of the mRNA Splicing Machinery and Its Dysregulation in Cancer Providing Therapeutic Opportunities. Int J Mol Sci 2021; 22:ijms22105110. [PMID: 34065983 PMCID: PMC8150589 DOI: 10.3390/ijms22105110] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/07/2021] [Accepted: 05/07/2021] [Indexed: 12/13/2022] Open
Abstract
Dysregulation of messenger RNA (mRNA) processing—in particular mRNA splicing—is a hallmark of cancer. Compared to normal cells, cancer cells frequently present aberrant mRNA splicing, which promotes cancer progression and treatment resistance. This hallmark provides opportunities for developing new targeted cancer treatments. Splicing of precursor mRNA into mature mRNA is executed by a dynamic complex of proteins and small RNAs called the spliceosome. Spliceosomes are part of the supraspliceosome, a macromolecular structure where all co-transcriptional mRNA processing activities in the cell nucleus are coordinated. Here we review the biology of the mRNA splicing machinery in the context of other mRNA processing activities in the supraspliceosome and present current knowledge of its dysregulation in lung cancer. In addition, we review investigations to discover therapeutic targets in the spliceosome and give an overview of inhibitors and modulators of the mRNA splicing process identified so far. Together, this provides insight into the value of targeting the spliceosome as a possible new treatment for lung cancer.
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27
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Kojima R, Yoshidome T. A measure for the identification of preferred particle orientations in cryo-electron microscopy data: A simulation study. Biophys Physicobiol 2021; 18:96-107. [PMID: 34026399 PMCID: PMC8116199 DOI: 10.2142/biophysico.bppb-v18.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/12/2021] [Indexed: 12/01/2022] Open
Abstract
Cryo-electron microscopy (cryo-EM) is an important experimental technique for the structural analysis of biomolecules that are difficult or impossible to crystallize. The three-dimensional structure of a biomolecule can be reconstructed using two-dimensional electron-density maps, which are experimentally sampled via the electron beam irradiation of vitreous ice in which the target biomolecules are embedded. One assumption required for this reconstruction is that the orientation of the biomolecules in the vitreous ice is isotropic. However, this is not always the case and two-dimensional electron-density maps are often sampled using preferred biomolecular orientations, which can make reconstruction difficult or impossible. Compensation for under-represented views is computationally feasible for the reconstruction of three-dimensional electron density maps, but one must know whether or not there is any missing information in the sampled two-dimensional electron density maps. Thus, a measure to identify whether a cryo-EM data is obtained from the biomolecules adopting preferred orientations is required. In the present study, we propose a measure for which the geometry of manifold projected onto a low-dimensional space is used. To show the usefulness of the measure, we perform simulations for cryo-EM experiment of a protein. It is found that the geometry of manifold projected onto a two-dimensional space for a protein adopting a preferred biomolecular orientation is significantly different from that for a protein adopting a uniform orientation. This result suggests that the geometry of manifold projected onto a low-dimensional space can be used for the measure for the identification that the biomolecules adopt preferred orientations.
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Affiliation(s)
- Ryota Kojima
- Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan
| | - Takashi Yoshidome
- Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan
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28
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Deng K, Yao J, Huang J, Ding Y, Zuo J. Abnormal alternative splicing promotes tumor resistance in targeted therapy and immunotherapy. Transl Oncol 2021; 14:101077. [PMID: 33774500 PMCID: PMC8039720 DOI: 10.1016/j.tranon.2021.101077] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 12/19/2022] Open
Abstract
Abnormal alternative splicing is involve in abnormal expression of genes in cancer. Abnormal alternative splicing events promote malignant progression of cancer. Abnormal alternative splicing develops tumor resistance to targeted therapy by changing the target point and signal transduction pathway. Abnormal alternative splicing develops tumor resistance to immunotherapy by changing cell surface antigens and protein structure.
Abnormally alternative splicing events are common hallmark of diverse types of cancers. Splicing variants with aberrant functions play an important role in cancer development. Most importantly, a growing body of evidence has supported that alternative splicing might play a significant role in the therapeutic resistance of tumors. Targeted therapy and immunotherapy are the future directions of tumor therapy; however, the loss of antigen targets on the tumor cells surface and alterations in drug efficacy have resulted in the failure of targeted therapy and immunotherapy. Interestingly, abnormal alternative splicing, as a strategy to regulate gene expression, is reportedly involved in the reprogramming of cell signaling pathways and epitopes on the tumor cell surface by changing splicing patterns of genes, thus rendering tumors resisted to targeted therapy and immunotherapy. Accordingly, increased knowledge regarding abnormal alternative splicing in tumors may help predict therapeutic resistance during targeted therapy and immunotherapy and lead to novel therapeutic approaches in cancer. Herein, we provide a brief synopsis of abnormal alternative splicing events in cancer progression and therapeutic resistance.
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Affiliation(s)
- Kun Deng
- The Laboratory of translational medicine, Hengyang Medical School, University of South China, 28 Changsheng Road, Hengyang, Hunan 421001, P R China
| | - Jingwei Yao
- The Affiliated Nanhua Hospital of University of South China, Hengyang, Hunan 421002, P R China
| | - Jialu Huang
- The Laboratory of translational medicine, Hengyang Medical School, University of South China, 28 Changsheng Road, Hengyang, Hunan 421001, P R China
| | - Yubo Ding
- The Affiliated Nanhua Hospital of University of South China, Hengyang, Hunan 421002, P R China
| | - Jianhong Zuo
- The Laboratory of translational medicine, Hengyang Medical School, University of South China, 28 Changsheng Road, Hengyang, Hunan 421001, P R China; The Affiliated Nanhua Hospital of University of South China, Hengyang, Hunan 421002, P R China; Clinical Laboratory, The Third Affiliated Hospital of University of South China, Hengyang, Hunan 421900, China.
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29
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Abstract
CryoEM has become the method of choice for determining the structure of large macromolecular complexes in multiple conformations, at resolutions where unambiguous atomic models can be built. Two effects that have limited progress in single-particle cryoEM are (i) beam-induced movement during image acquisition and (ii) protein adsorption and denaturation at the air-water interface during specimen preparation. While beam-induced movement now appears to have been resolved by all-gold specimen support grids with very small holes, surface effects at the air-water interface are a persistent problem. Strategies to overcome these effects include the use of alternative support films and new techniques for specimen deposition. We examine the future potential of recording perfect images of biological samples for routine structure determination at atomic resolution.
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30
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Wilkinson ME, Fica SM, Galej WP, Nagai K. Structural basis for conformational equilibrium of the catalytic spliceosome. Mol Cell 2021; 81:1439-1452.e9. [PMID: 33705709 PMCID: PMC8022279 DOI: 10.1016/j.molcel.2021.02.021] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 12/14/2020] [Accepted: 02/11/2021] [Indexed: 12/21/2022]
Abstract
The ATPase Prp16 governs equilibrium between the branching (B∗/C) and exon ligation (C∗/P) conformations of the spliceosome. Here, we present the electron cryomicroscopy reconstruction of the Saccharomyces cerevisiae C-complex spliceosome at 2.8 Å resolution and identify a novel C-complex intermediate (Ci) that elucidates the molecular basis for this equilibrium. The exon-ligation factors Prp18 and Slu7 bind to Ci before ATP hydrolysis by Prp16 can destabilize the branching conformation. Biochemical assays suggest that these pre-bound factors prime the C complex for conversion to C∗ by Prp16. A complete model of the Prp19 complex (NTC) reveals how the branching factors Yju2 and Isy1 are recruited by the NTC before branching. Prp16 remodels Yju2 binding after branching, allowing Yju2 to remain tethered to the NTC in the C∗ complex to promote exon ligation. Our results explain how Prp16 action modulates the dynamic binding of step-specific factors to alternatively stabilize the C or C∗ conformation and establish equilibrium of the catalytic spliceosome. Cryo-EM reveals new Ci spliceosome intermediate between branching and exon ligation Binding of branching and exon-ligation factors to Ci governs spliceosome equilibrium Exon-ligation factors Slu7 and Prp18 bind Ci weakly before Prp16 action After Prp16 action, pre-bound Slu7 and Prp18 bind strongly to promote exon ligation
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Affiliation(s)
- Max E Wilkinson
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.
| | - Sebastian M Fica
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.
| | - Wojciech P Galej
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK
| | - Kiyoshi Nagai
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK
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31
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Morais P, Adachi H, Yu YT. Spliceosomal snRNA Epitranscriptomics. Front Genet 2021; 12:652129. [PMID: 33737950 PMCID: PMC7960923 DOI: 10.3389/fgene.2021.652129] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 12/15/2022] Open
Abstract
Small nuclear RNAs (snRNAs) are critical components of the spliceosome that catalyze the splicing of pre-mRNA. snRNAs are each complexed with many proteins to form RNA-protein complexes, termed as small nuclear ribonucleoproteins (snRNPs), in the cell nucleus. snRNPs participate in pre-mRNA splicing by recognizing the critical sequence elements present in the introns, thereby forming active spliceosomes. The recognition is achieved primarily by base-pairing interactions (or nucleotide-nucleotide contact) between snRNAs and pre-mRNA. Notably, snRNAs are extensively modified with different RNA modifications, which confer unique properties to the RNAs. Here, we review the current knowledge of the mechanisms and functions of snRNA modifications and their biological relevance in the splicing process.
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Affiliation(s)
| | - Hironori Adachi
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
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32
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Beckers M, Mann D, Sachse C. Structural interpretation of cryo-EM image reconstructions. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2021; 160:26-36. [PMID: 32735944 DOI: 10.1016/j.pbiomolbio.2020.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/03/2020] [Accepted: 07/13/2020] [Indexed: 06/11/2023]
Abstract
The productivity of single-particle cryo-EM as a structure determination method has rapidly increased as many novel biological structures are being elucidated. The ultimate result of the cryo-EM experiment is an atomic model that should faithfully represent the computed image reconstruction. Although the principal approach of atomic model building and refinement from maps resembles that of the X-ray crystallographic methods, there are important differences due to the unique properties resulting from the 3D image reconstructions. In this review, we discuss the practiced work-flow from the cryo-EM image reconstruction to the atomic model. We give an overview of (i) resolution determination methods in cryo-EM including local and directional resolution variation, (ii) cryo-EM map contrast optimization including complementary map types that can help in identifying ambiguous density features, (iii) atomic model building and (iv) refinement in various resolution regimes including (v) their validation and (vi) discuss differences between X-ray and cryo-EM maps. Based on the methods originally developed for X-ray crystallography, the path from 3D image reconstruction to atomic coordinates has become an integral and important part of the cryo-EM structure determination work-flow that routinely delivers atomic models.
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Affiliation(s)
- Maximilian Beckers
- European Molecular Biology Laboratory (EMBL), Structural and Computational Biology Unit, Meyerhofstraße 1, 69117, Heidelberg, Germany; Candidate for Joint PhD Degree from EMBL and Heidelberg University, Faculty of Biosciences, Germany; Ernst-Ruska Centre for Microscopy and Spectroscopy with Electrons (ER-C-3/Structural Biology), Forschungszentrum Jülich, 52425, Jülich, Germany; JuStruct: Jülich Center for Structural Biology, Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Daniel Mann
- Ernst-Ruska Centre for Microscopy and Spectroscopy with Electrons (ER-C-3/Structural Biology), Forschungszentrum Jülich, 52425, Jülich, Germany; JuStruct: Jülich Center for Structural Biology, Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Carsten Sachse
- Ernst-Ruska Centre for Microscopy and Spectroscopy with Electrons (ER-C-3/Structural Biology), Forschungszentrum Jülich, 52425, Jülich, Germany; JuStruct: Jülich Center for Structural Biology, Forschungszentrum Jülich, 52425, Jülich, Germany; Chemistry Department, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
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33
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Hebbar S, Lehmann M, Behrens S, Hälsig C, Leng W, Yuan M, Winkler S, Knust E. Mutations in the splicing regulator Prp31 lead to retinal degeneration in Drosophila. Biol Open 2021; 10:10/1/bio052332. [PMID: 33495354 PMCID: PMC7860132 DOI: 10.1242/bio.052332] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Retinitis pigmentosa (RP) is a clinically heterogeneous disease affecting 1.6 million people worldwide. The second-largest group of genes causing autosomal dominant RP in human encodes regulators of the splicing machinery. Yet, how defects in splicing factor genes are linked to the aetiology of the disease remains largely elusive. To explore possible mechanisms underlying retinal degeneration caused by mutations in regulators of the splicing machinery, we induced mutations in Drosophila Prp31, the orthologue of human PRPF31, mutations in which are associated with RP11. Flies heterozygous mutant for Prp31 are viable and develop normal eyes and retina. However, photoreceptors degenerate under light stress, thus resembling the human disease phenotype. Degeneration is associated with increased accumulation of the visual pigment rhodopsin 1 and increased mRNA levels of twinfilin, a gene associated with rhodopsin trafficking. Reducing rhodopsin levels by raising animals in a carotenoid-free medium not only attenuates rhodopsin accumulation, but also retinal degeneration. Given a similar importance of proper rhodopsin trafficking for photoreceptor homeostasis in human, results obtained in flies presented here will also contribute to further unravel molecular mechanisms underlying the human disease. This paper has an associated First Person interview with the co-first authors of the article. Summary: Retinitis pigmentosa (RP) is a human disease resulting in blindness, which affects 1 in 4.000 people worldwide. So far >90 genes have been identified that are causally related to RP. Mutations in the splicing factor PRPF31 are linked to RP11. We induced mutations in the Drosophila orthologue Prp31 and show that flies heterozygous for Prp31 undergo light-dependent retinal degeneration. Degeneration is associated with increased accumulation of the light-sensitive molecule, rhodopsin 1. In fact, reducing rhodopsin levels by dietary intervention modifies the extent of retinal degeneration. This model will further contribute to better understand the aetiology of the human disease.
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Affiliation(s)
- Sarita Hebbar
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Malte Lehmann
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Sarah Behrens
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Catrin Hälsig
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Weihua Leng
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Michaela Yuan
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Sylke Winkler
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
| | - Elisabeth Knust
- Max-Planck-Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany
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Chang JY, Cui Z, Yang K, Huang J, Minary P, Zhang J. Hierarchical natural move Monte Carlo refines flexible RNA structures into cryo-EM densities. RNA (NEW YORK, N.Y.) 2020; 26:1755-1766. [PMID: 32826323 PMCID: PMC7668250 DOI: 10.1261/rna.071100.119] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/15/2020] [Indexed: 06/11/2023]
Abstract
Ribonucleic acids (RNAs) play essential roles in living cells. Many of them fold into defined three-dimensional (3D) structures to perform functions. Recent advances in single-particle cryo-electron microscopy (cryo-EM) have enabled structure determinations of RNA to atomic resolutions. However, most RNA molecules are structurally flexible, limiting the resolution of their structures solved by cryo-EM. In modeling these molecules, several computational methods are limited by the requirement of massive computational resources and/or the low efficiency in exploring large-scale structural variations. Here we use hierarchical natural move Monte Carlo (HNMMC), which takes advantage of collective motions for groups of nucleic acid residues, to refine RNA structures into their cryo-EM maps, preserving atomic details in the models. After validating the method on a simulated density map of tRNA, we applied it to objectively obtain the model of the folding intermediate for the specificity domain of ribonuclease P from Bacillus subtilis and refine a flexible ribosomal RNA (rRNA) expansion segment from the Mycobacterium tuberculosis (Mtb) ribosome in different conformational states. Finally, we used HNMMC to model atomic details and flexibility for two distinct conformations of the complete genomic RNA (gRNA) inside MS2, a single-stranded RNA virus, revealing multiple pathways for its capsid assembly.
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Affiliation(s)
- Jeng-Yih Chang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, USA
- Center for Phage Technology, College Station, Texas 77843, USA
| | - Zhicheng Cui
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, USA
- Center for Phage Technology, College Station, Texas 77843, USA
| | - Kailu Yang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, USA
- Center for Phage Technology, College Station, Texas 77843, USA
| | - Jianhua Huang
- Department of Statistics, Texas A&M University, College Station, Texas 77843, USA
| | - Peter Minary
- Department of Computer Science, University of Oxford, Oxford OX1 3QD, United Kingdom
| | - Junjie Zhang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, USA
- Center for Phage Technology, College Station, Texas 77843, USA
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Borchardt EK, Martinez NM, Gilbert WV. Regulation and Function of RNA Pseudouridylation in Human Cells. Annu Rev Genet 2020; 54:309-336. [PMID: 32870730 DOI: 10.1146/annurev-genet-112618-043830] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Recent advances in pseudouridine detection reveal a complex pseudouridine landscape that includes messenger RNA and diverse classes of noncoding RNA in human cells. The known molecular functions of pseudouridine, which include stabilizing RNA conformations and destabilizing interactions with varied RNA-binding proteins, suggest that RNA pseudouridylation could have widespread effects on RNA metabolism and gene expression. Here, we emphasize how much remains to be learned about the RNA targets of human pseudouridine synthases, their basis for recognizing distinct RNA sequences, and the mechanisms responsible for regulated RNA pseudouridylation. We also examine the roles of noncoding RNA pseudouridylation in splicing and translation and point out the potential effects of mRNA pseudouridylation on protein production, including in the context of therapeutic mRNAs.
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Affiliation(s)
- Erin K Borchardt
- Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , ,
| | - Nicole M Martinez
- Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , ,
| | - Wendy V Gilbert
- Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , ,
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36
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Kölsch A, Radon C, Golub M, Baumert A, Bürger J, Mielke T, Lisdat F, Feoktystov A, Pieper J, Zouni A, Wendler P. Current limits of structural biology: The transient interaction between cytochrome c 6 and photosystem I. Curr Res Struct Biol 2020; 2:171-179. [PMID: 34235477 PMCID: PMC8244401 DOI: 10.1016/j.crstbi.2020.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/11/2020] [Accepted: 08/17/2020] [Indexed: 12/22/2022] Open
Abstract
Trimeric photosystem I from the cyanobacterium Thermosynechococcus elongatus (TePSI) is an intrinsic membrane protein, which converts solar energy into electrical energy by oxidizing the soluble redox mediator cytochrome c 6 (Cyt c 6 ) and reducing ferredoxin. Here, we use cryo-electron microscopy and small angle neutron scattering (SANS) to characterize the transient binding of Cyt c 6 to TePSI. The structure of TePSI cross-linked to Cyt c 6 was solved at a resolution of 2.9 Å and shows additional cofactors as well as side chain density for 84% of the peptide chain of subunit PsaK, revealing a hydrophobic, membrane intrinsic loop that enables binding of associated proteins. Due to the poor binding specificity, Cyt c 6 could not be localized with certainty in our cryo-EM analysis. SANS measurements confirm that Cyt c 6 does not bind to TePSI at protein concentrations comparable to those for cross-linking. However, SANS data indicate a complex formation between TePSI and the non-native mitochondrial cytochrome from horse heart (Cyt c HH ). Our study pinpoints the difficulty of identifying very small binding partners (less than 5% of the overall size) in EM structures when binding affinities are poor. We relate our results to well resolved co-structures with known binding affinities and recommend confirmatory methods for complexes with K M values higher than 20 μM.
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Affiliation(s)
- A. Kölsch
- Department of Biology, Humboldt–Universität zu Berlin, Philippstrasse 13, 10115, Berlin, Germany
| | - C. Radon
- Institute of Biochemistry and Biology, Department of Biochemistry, University of Potsdam, Karl-Liebknecht Strasse 24-25, 14476, Potsdam-Golm, Germany
| | - M. Golub
- Institute of Physics, University of Tartu, Wilhelm Ostwaldi 1, 50411, Tartu, Estonia
| | - A. Baumert
- Institute of Biochemistry and Biology, Department of Biochemistry, University of Potsdam, Karl-Liebknecht Strasse 24-25, 14476, Potsdam-Golm, Germany
| | - J. Bürger
- Max-Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195, Berlin, Germany
- Charité, Institut für Medizinische Physik und Biophysik, Charitéplatz 1, 10117, Berlin, Germany
| | - T. Mielke
- Max-Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195, Berlin, Germany
| | - F. Lisdat
- Institute of Applied Life Sciences, Technical University of Applied Sciences Wildau, Hochschulring 1, 15745, Wildau, Germany
| | - A. Feoktystov
- Forschungszentrum Jülich GmbH, Jülich Centre for Neutron Science (JCNS) at Heinz Maier-Leibnitz Zentrum (MLZ), Lichtenbergstr. 1, 85748, Garching, Germany
| | - J. Pieper
- Institute of Physics, University of Tartu, Wilhelm Ostwaldi 1, 50411, Tartu, Estonia
| | - A. Zouni
- Department of Biology, Humboldt–Universität zu Berlin, Philippstrasse 13, 10115, Berlin, Germany
| | - P. Wendler
- Institute of Biochemistry and Biology, Department of Biochemistry, University of Potsdam, Karl-Liebknecht Strasse 24-25, 14476, Potsdam-Golm, Germany
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37
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Moonlighting in Mitosis: Analysis of the Mitotic Functions of Transcription and Splicing Factors. Cells 2020; 9:cells9061554. [PMID: 32604778 PMCID: PMC7348712 DOI: 10.3390/cells9061554] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 12/14/2022] Open
Abstract
Moonlighting proteins can perform one or more additional functions besides their primary role. It has been posited that a protein can acquire a moonlighting function through a gradual evolutionary process, which is favored when the primary and secondary functions are exerted in different cellular compartments. Transcription factors (TFs) and splicing factors (SFs) control processes that occur in interphase nuclei and are strongly reduced during cell division, and are therefore in a favorable situation to evolve moonlighting mitotic functions. However, recently published moonlighting protein databases, which comprise almost 400 proteins, do not include TFs and SFs with secondary mitotic functions. We searched the literature and found several TFs and SFs with bona fide moonlighting mitotic functions, namely they localize to specific mitotic structure(s), interact with proteins enriched in the same structure(s), and are required for proper morphology and functioning of the structure(s). In addition, we describe TFs and SFs that localize to mitotic structures but cannot be classified as moonlighting proteins due to insufficient data on their biochemical interactions and mitotic roles. Nevertheless, we hypothesize that most TFs and SFs with specific mitotic localizations have either minor or redundant moonlighting functions, or are evolving towards the acquisition of these functions.
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38
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Fenwick MK, Ealick SE. Structural basis of elongation factor 2 switching. Curr Res Struct Biol 2020; 2:25-34. [PMID: 34235467 PMCID: PMC8244253 DOI: 10.1016/j.crstbi.2020.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 02/07/2020] [Accepted: 02/14/2020] [Indexed: 12/13/2022] Open
Abstract
Archaebacterial and eukaryotic elongation factor 2 (EF-2) and bacterial elongation factor G (EF-G) are five domain GTPases that catalyze the ribosomal translocation of tRNA and mRNA. In the classical mechanism of activation, GTPases are switched on through GDP/GTP exchange, which is accompanied by the ordering of two flexible segments called switch I and II. However, crystal structures of EF-2 and EF-G have thus far not revealed the conformations required by the classical mechanism. Here, we describe crystal structures of Methanoperedens nitroreducens EF-2 (MnEF-2) and MnEF-2-H595N bound to GMPPCP (GppCp) and magnesium displaying previously unreported compact conformations. Domain III forms interfaces with the other four domains and the overall conformations resemble that of SNU114, the eukaryotic spliceosomal GTPase. The gamma phosphate of GMPPCP is detected through interactions with switch I and a P-loop structural element. Switch II is highly ordered whereas switch I shows a variable degree of ordering. The ordered state results in a tight interdomain arrangement of domains I-III and the formation of a portion of a predicted monovalent cation site involving the P-loop and switch I. The side chain of an essential histidine residue in switch II is placed in the inactive conformation observed for the “on” state of elongation factor EF-Tu. The compact conformations of MnEF-2 and MnEF-2-H595N suggest an “on” ribosome-free conformational state. Crystal structures of ribosome-free elongation factor 2 (EF-2) bound to GTP analog and magnesium. Compact conformation and P-loop, switch I, and switch II structures suggest “on” state. Arrangement of domains I-III similar to that of ribosome-bound EF-2/EF-G complexed with GTP analog. Switch II histidine shows inactive conformation observed for “on” state of ribosome-free EF-Tu.
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Affiliation(s)
- Michael K Fenwick
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Steven E Ealick
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, 14853, USA
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39
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Wang F, Yu Z, Betegon M, Campbell MG, Aksel T, Zhao J, Li S, Douglas SM, Cheng Y, Agard DA. Amino and PEG-amino graphene oxide grids enrich and protect samples for high-resolution single particle cryo-electron microscopy. J Struct Biol 2020; 209:107437. [PMID: 31866389 PMCID: PMC7272056 DOI: 10.1016/j.jsb.2019.107437] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 12/15/2019] [Accepted: 12/17/2019] [Indexed: 11/29/2022]
Abstract
Cryo-EM samples prepared using traditional methods often suffer from too few particles, poor particle distribution, strongly biased orientation, or damage from the air-water interface. Here we report that functionalization of graphene oxide (GO) coated grids with amino groups concentrates samples on the grid with improved distribution and orientation. By introducing a PEG spacer, particles are kept away from both the GO surface and the air-water interface, protecting them from potential denaturation.
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Affiliation(s)
- Feng Wang
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Zanlin Yu
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Miguel Betegon
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Melody G Campbell
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Tural Aksel
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, United States
| | - Jianhua Zhao
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Sam Li
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Shawn M Douglas
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, United States
| | - Yifan Cheng
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States
| | - David A Agard
- Department of Biochemistry & Biophysics and the Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94143, United States.
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40
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Wieczorek M, Urnavicius L, Ti SC, Molloy KR, Chait BT, Kapoor TM. Asymmetric Molecular Architecture of the Human γ-Tubulin Ring Complex. Cell 2020; 180:165-175.e16. [PMID: 31862189 PMCID: PMC7027161 DOI: 10.1016/j.cell.2019.12.007] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 11/21/2019] [Accepted: 12/07/2019] [Indexed: 10/25/2022]
Abstract
The γ-tubulin ring complex (γ-TuRC) is an essential regulator of centrosomal and acentrosomal microtubule formation, yet its structure is not known. Here, we present a cryo-EM reconstruction of the native human γ-TuRC at ∼3.8 Å resolution, revealing an asymmetric, cone-shaped structure. Pseudo-atomic models indicate that GCP4, GCP5, and GCP6 form distinct Y-shaped assemblies that structurally mimic GCP2/GCP3 subcomplexes distal to the γ-TuRC "seam." We also identify an unanticipated structural bridge that includes an actin-like protein and spans the γ-TuRC lumen. Despite its asymmetric architecture, the γ-TuRC arranges γ-tubulins into a helical geometry poised to nucleate microtubules. Diversity in the γ-TuRC subunits introduces large (>100,000 Å2) surfaces in the complex that allow for interactions with different regulatory factors. The observed compositional complexity of the γ-TuRC could self-regulate its assembly into a cone-shaped structure to control microtubule formation across diverse contexts, e.g., within biological condensates or alongside existing filaments.
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Affiliation(s)
- Michal Wieczorek
- Laboratory of Chemistry and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Linas Urnavicius
- Laboratory of Chemistry and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA; Laboratory of Cell Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Shih-Chieh Ti
- Laboratory of Chemistry and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Kelly R Molloy
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Brian T Chait
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA
| | - Tarun M Kapoor
- Laboratory of Chemistry and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA.
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41
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Splicing Players Are Differently Expressed in Sporadic Amyotrophic Lateral Sclerosis Molecular Clusters and Brain Regions. Cells 2020; 9:cells9010159. [PMID: 31936368 PMCID: PMC7017305 DOI: 10.3390/cells9010159] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/23/2019] [Accepted: 01/04/2020] [Indexed: 12/12/2022] Open
Abstract
Splicing is a tightly orchestrated process by which the brain produces protein diversity over time and space. While this process specializes and diversifies neurons, its deregulation may be responsible for their selective degeneration. In amyotrophic lateral sclerosis (ALS), splicing defects have been investigated at the singular gene level without considering the higher-order level, involving the entire splicing machinery. In this study, we analyzed the complete spectrum (396) of genes encoding splicing factors in the motor cortex (41) and spinal cord (40) samples from control and sporadic ALS (SALS) patients. A substantial number of genes (184) displayed significant expression changes in tissue types or disease states, were implicated in distinct splicing complexes and showed different topological hierarchical roles based on protein–protein interactions. The deregulation of one of these splicing factors has a central topological role, i.e., the transcription factor YBX1, which might also have an impact on stress granule formation, a pathological marker associated with ALS.
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42
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Kalienkova V, Alvadia C, Clerico Mosina V, Paulino C. Single-Particle Cryo-EM of Membrane Proteins in Lipid Nanodiscs. Methods Mol Biol 2020; 2127:245-273. [PMID: 32112327 DOI: 10.1007/978-1-0716-0373-4_17] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Single-particle cryo-electron microscopy has become an indispensable technique in structural biology. In particular when studying membrane proteins, it allows the use of membrane-mimicking tools, which can be crucial for a comprehensive understanding of the structure-function relationship of the protein in its native environment. In this chapter we focus on the application of nanodiscs and use our recent studies on the TMEM16 family as an example.
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Affiliation(s)
- Valeria Kalienkova
- Department of Structural Biology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
- Department of Biochemistry, University of Zurich, Zurich, Switzerland
| | - Carolina Alvadia
- Department of Biochemistry, University of Zurich, Zurich, Switzerland
| | - Vanessa Clerico Mosina
- Department of Structural Biology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands
| | - Cristina Paulino
- Department of Structural Biology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
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43
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Abstract
The spliceosome removes introns from messenger RNA precursors (pre-mRNA). Decades of biochemistry and genetics combined with recent structural studies of the spliceosome have produced a detailed view of the mechanism of splicing. In this review, we aim to make this mechanism understandable and provide several videos of the spliceosome in action to illustrate the intricate choreography of splicing. The U1 and U2 small nuclear ribonucleoproteins (snRNPs) mark an intron and recruit the U4/U6.U5 tri-snRNP. Transfer of the 5' splice site (5'SS) from U1 to U6 snRNA triggers unwinding of U6 snRNA from U4 snRNA. U6 folds with U2 snRNA into an RNA-based active site that positions the 5'SS at two catalytic metal ions. The branch point (BP) adenosine attacks the 5'SS, producing a free 5' exon. Removal of the BP adenosine from the active site allows the 3'SS to bind, so that the 5' exon attacks the 3'SS to produce mature mRNA and an excised lariat intron.
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Affiliation(s)
- Max E Wilkinson
- MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom; ,
| | - Clément Charenton
- MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom; ,
| | - Kiyoshi Nagai
- MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom; ,
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44
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Taylor J, Lee SC. Mutations in spliceosome genes and therapeutic opportunities in myeloid malignancies. Genes Chromosomes Cancer 2019; 58:889-902. [PMID: 31334570 PMCID: PMC6852509 DOI: 10.1002/gcc.22784] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 07/17/2019] [Indexed: 12/21/2022] Open
Abstract
Since the discovery of RNA splicing more than 40 years ago, our comprehension of the molecular events orchestrating constitutive and alternative splicing has greatly improved. Dysregulation of pre-mRNA splicing has been observed in many human diseases including neurodegenerative diseases and cancer. The recent identification of frequent somatic mutations in core components of the spliceosome in myeloid malignancies and functional analysis using model systems has advanced our knowledge of how splicing alterations contribute to disease pathogenesis. In this review, we summarize our current understanding on the mechanisms of how mutant splicing factors impact splicing and the resulting functional and pathophysiological consequences. We also review recent advances to develop novel therapeutic approaches targeting splicing catalysis and splicing regulatory proteins, and discuss emerging technologies using oligonucleotide-based therapies to modulate pathogenically spliced isoforms.
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Affiliation(s)
- Justin Taylor
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkNew York
- Leukemia Service, Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkNew York
| | - Stanley C. Lee
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkNew York
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45
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Wood KA, Rowlands CF, Qureshi WMS, Thomas HB, Buczek WA, Briggs TA, Hubbard SJ, Hentges KE, Newman WG, O’Keefe RT. Disease modeling of core pre-mRNA splicing factor haploinsufficiency. Hum Mol Genet 2019; 28:3704-3723. [PMID: 31304552 PMCID: PMC6935387 DOI: 10.1093/hmg/ddz169] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/04/2019] [Accepted: 07/08/2019] [Indexed: 12/12/2022] Open
Abstract
The craniofacial disorder mandibulofacial dysostosis Guion-Almeida type is caused by haploinsufficiency of the U5 snRNP gene EFTUD2/SNU114. However, it is unclear how reduced expression of this core pre-mRNA splicing factor leads to craniofacial defects. Here we use a CRISPR-Cas9 nickase strategy to generate a human EFTUD2-knockdown cell line and show that reduced expression of EFTUD2 leads to diminished proliferative ability of these cells, increased sensitivity to endoplasmic reticulum (ER) stress and the mis-expression of several genes involved in the ER stress response. RNA-Seq analysis of the EFTUD2-knockdown cell line revealed transcriptome-wide changes in gene expression, with an enrichment for genes associated with processes involved in craniofacial development. Additionally, our RNA-Seq data identified widespread mis-splicing in EFTUD2-knockdown cells. Analysis of the functional and physical characteristics of mis-spliced pre-mRNAs highlighted conserved properties, including length and splice site strengths, of retained introns and skipped exons in our disease model. We also identified enriched processes associated with the affected genes, including cell death, cell and organ morphology and embryonic development. Together, these data support a model in which EFTUD2 haploinsufficiency leads to the mis-splicing of a distinct subset of pre-mRNAs with a widespread effect on gene expression, including altering the expression of ER stress response genes and genes involved in the development of the craniofacial region. The increased burden of unfolded proteins in the ER resulting from mis-splicing would exceed the capacity of the defective ER stress response, inducing apoptosis in cranial neural crest cells that would result in craniofacial abnormalities during development.
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Affiliation(s)
- Katherine A Wood
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
- Center for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, St. Mary’s Hospital, The University of Manchester, Manchester Academic Health Science Centre Manchester, M13 9PT, UK
| | - Charlie F Rowlands
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
- Center for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, St. Mary’s Hospital, The University of Manchester, Manchester Academic Health Science Centre Manchester, M13 9PT, UK
| | - Wasay Mohiuddin Shaikh Qureshi
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
| | - Huw B Thomas
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
| | - Weronika A Buczek
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
| | - Tracy A Briggs
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
- Center for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, St. Mary’s Hospital, The University of Manchester, Manchester Academic Health Science Centre Manchester, M13 9PT, UK
| | - Simon J Hubbard
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
| | - Kathryn E Hentges
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
- Center for Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, St. Mary’s Hospital, The University of Manchester, Manchester Academic Health Science Centre Manchester, M13 9PT, UK
| | - Raymond T O’Keefe
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
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46
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Kastner B, Will CL, Stark H, Lührmann R. Structural Insights into Nuclear pre-mRNA Splicing in Higher Eukaryotes. Cold Spring Harb Perspect Biol 2019; 11:a032417. [PMID: 30765414 PMCID: PMC6824238 DOI: 10.1101/cshperspect.a032417] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The spliceosome is a highly complex, dynamic ribonucleoprotein molecular machine that undergoes numerous structural and compositional rearrangements that lead to the formation of its active site. Recent advances in cyroelectron microscopy (cryo-EM) have provided a plethora of near-atomic structural information about the inner workings of the spliceosome. Aided by previous biochemical, structural, and functional studies, cryo-EM has confirmed or provided a structural basis for most of the prevailing models of spliceosome function, but at the same time allowed novel insights into splicing catalysis and the intriguing dynamics of the spliceosome. The mechanism of pre-mRNA splicing is highly conserved between humans and yeast, but the compositional dynamics and ribonucleoprotein (RNP) remodeling of the human spliceosome are more complex. Here, we summarize recent advances in our understanding of the molecular architecture of the human spliceosome, highlighting differences between the human and yeast splicing machineries.
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Affiliation(s)
- Berthold Kastner
- Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, D-37077 Göttingen, Germany
| | - Cindy L Will
- Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, D-37077 Göttingen, Germany
| | - Holger Stark
- Department of Structural Dynamics, Max Planck Institute for Biophysical Chemistry, D-37077 Göttingen, Germany
| | - Reinhard Lührmann
- Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, D-37077 Göttingen, Germany
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47
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Yusuf IH, Birtel J, Shanks ME, Clouston P, Downes SM, Charbel Issa P, MacLaren RE. Clinical Characterization of Retinitis Pigmentosa Associated With Variants in SNRNP200. JAMA Ophthalmol 2019; 137:1295-1300. [PMID: 31486839 DOI: 10.1001/jamaophthalmol.2019.3298] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Importance SNRNP200 is a recently identified genetic cause of autosomal dominant retinitis pigmentosa (RP). However, the associated retinal phenotype is not well characterized. Objective To describe the retinal phenotype in patients with RP secondary to variants in SNRNP200. Design, Setting, and Participants This retrospective, case-series study was performed at 2 tertiary referral centers for inherited retinal diseases. Participants included 9 consecutive patients from 8 families with RP attributed to variants in SNRNP200. Data were collected from August 2017 to March 2018 and analyzed from May to July 2018. Main Outcomes and Measures Results of clinical evaluation, multimodal retinal imaging, and molecular genetic testing using targeted next-generation sequencing. Results Of the 9 patients included in the analysis (4 female and 5 male; mean [SD] age at presentation, 19 [15] years), each presented with nyctalopia, typically in the first 2 decades of life, although 2 patients experienced symptom onset in middle age. None had any consistent systemic features suggestive of syndromic RP. Retinal imaging studies and electroretinography findings were typical of a rod-predominant dystrophy with later involvement of cone photoreceptors. Phenotypic heterogeneity was typified by 4 unrelated patients with the common c.2041C>T SNRNP200 variant who demonstrated a variable age of disease onset (middle teenage years to the fourth decade of life). Disease progression was slow, with all but 1 patient maintaining visual acuity of better than 20/40 in the better-seeing eye in the fifth and sixth decades of life. Conclusions and Relevance These data suggest that variants in SNRNP200 result in nonsyndromic RP with a typical phenotype of a rod-predominant dystrophy. Significant phenotypic heterogeneity and nonpenetrance were noted within some affected families. Symptom onset was typically within the first 2 decades of life, with slow progression and well-preserved visual acuities into the fifth and sixth decades.
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Affiliation(s)
- Imran H Yusuf
- Nuffield Laboratory of Ophthalmology, Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital, Oxford, United Kingdom.,Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS (National Health Service) Foundation Trust, Oxford, United Kingdom
| | - Johannes Birtel
- Department of Ophthalmology, University of Bonn, Bonn, Germany
| | - Morag E Shanks
- Oxford Medical Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, The Churchill Hospital, Oxford, United Kingdom
| | - Penny Clouston
- Oxford Medical Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, The Churchill Hospital, Oxford, United Kingdom
| | - Susan M Downes
- Nuffield Laboratory of Ophthalmology, Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital, Oxford, United Kingdom.,Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS (National Health Service) Foundation Trust, Oxford, United Kingdom
| | - Peter Charbel Issa
- Nuffield Laboratory of Ophthalmology, Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital, Oxford, United Kingdom.,Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS (National Health Service) Foundation Trust, Oxford, United Kingdom.,Department of Ophthalmology, University of Bonn, Bonn, Germany
| | - Robert E MacLaren
- Nuffield Laboratory of Ophthalmology, Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital, Oxford, United Kingdom.,Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS (National Health Service) Foundation Trust, Oxford, United Kingdom
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48
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Yesselman JD, Eiler D, Carlson ED, Gotrik MR, d'Aquino AE, Ooms AN, Kladwang W, Carlson PD, Shi X, Costantino DA, Herschlag D, Lucks JB, Jewett MC, Kieft JS, Das R. Computational design of three-dimensional RNA structure and function. NATURE NANOTECHNOLOGY 2019; 14:866-873. [PMID: 31427748 PMCID: PMC7324284 DOI: 10.1038/s41565-019-0517-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 06/24/2019] [Indexed: 05/30/2023]
Abstract
RNA nanotechnology seeks to create nanoscale machines by repurposing natural RNA modules. The field is slowed by the current need for human intuition during three-dimensional structural design. Here, we demonstrate that three distinct problems in RNA nanotechnology can be reduced to a pathfinding problem and automatically solved through an algorithm called RNAMake. First, RNAMake discovers highly stable single-chain solutions to the classic problem of aligning a tetraloop and its sequence-distal receptor, with experimental validation from chemical mapping, gel electrophoresis, solution X-ray scattering and crystallography with 2.55 Å resolution. Second, RNAMake automatically generates structured tethers that integrate 16S and 23S ribosomal RNAs into single-chain ribosomal RNAs that remain uncleaved by ribonucleases and assemble onto messenger RNA. Third, RNAMake enables the automated stabilization of small-molecule binding RNAs, with designed tertiary contacts that improve the binding affinity of the ATP aptamer and improve the fluorescence and stability of the Spinach RNA in cell extracts and in living Escherichia coli cells.
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Affiliation(s)
- Joseph D Yesselman
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel Eiler
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Erik D Carlson
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL, USA
- Center for Synthetic Biology, Northwestern University, Evanston, IL, USA
| | - Michael R Gotrik
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Anne E d'Aquino
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Center for Synthetic Biology, Northwestern University, Evanston, IL, USA
- Interdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, IL, USA
| | - Alexandra N Ooms
- Department of Cancer Genetics & Genomics, Stanford University School of Medicine, Stanford, CA, USA
| | - Wipapat Kladwang
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul D Carlson
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
| | - Xuesong Shi
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - David A Costantino
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Daniel Herschlag
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Department of Chemistry, Stanford University School of Medicine, Stanford, CA, USA
- Stanford ChEM-H (Chemistry, Engineering, and Medicine for Human Health), Stanford University, Stanford, CA, USA
| | - Julius B Lucks
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL, USA
- Center for Synthetic Biology, Northwestern University, Evanston, IL, USA
- Interdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, IL, USA
| | - Michael C Jewett
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL, USA
- Center for Synthetic Biology, Northwestern University, Evanston, IL, USA
- Interdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, IL, USA
| | - Jeffrey S Kieft
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Rhiju Das
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Physics, Stanford University, Stanford, CA, USA.
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49
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Wan R, Bai R, Shi Y. Molecular choreography of pre-mRNA splicing by the spliceosome. Curr Opin Struct Biol 2019; 59:124-133. [PMID: 31476650 DOI: 10.1016/j.sbi.2019.07.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 07/24/2019] [Accepted: 07/30/2019] [Indexed: 11/19/2022]
Abstract
The spliceosome executes eukaryotic precursor messenger RNA (pre-mRNA) splicing to remove noncoding introns through two sequential transesterification reactions, branching and exon ligation. The fidelity of this process is based on the recognition of the conserved sequences in the intron and dynamic compositional and structural rearrangement of this multi-megadalton machinery. Since atomic visualization of the splicing active site in an endogenous Schizosaccharomyces pombe spliceosome in 2015, high-resolution cryoelectron microscopy (cryo-EM) structures of other spliceosome intermediates began to uncover the molecular mechanism. Recent advances in the structural biology of the spliceosome make it clearer the mechanisms of its assembly, activation, disassembly and exon ligation. Together, these discrete structural images give rise to a molecular choreography of the spliceosome.
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Affiliation(s)
- Ruixue Wan
- Beijing Advanced Innovation Center for Structural Biology, School of Medicine, Tsinghua University, Beijing 100084, China.
| | - Rui Bai
- Institute of Biology, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.
| | - Yigong Shi
- Institute of Biology, Westlake Institute for Advanced Study, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.
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50
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Sequence-dependent RNA helix conformational preferences predictably impact tertiary structure formation. Proc Natl Acad Sci U S A 2019; 116:16847-16855. [PMID: 31375637 DOI: 10.1073/pnas.1901530116] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Structured RNAs and RNA complexes underlie biological processes ranging from control of gene expression to protein translation. Approximately 50% of nucleotides within known structured RNAs are folded into Watson-Crick (WC) base pairs, and sequence changes that preserve these pairs are typically assumed to preserve higher-order RNA structure and binding of macromolecule partners. Here, we report that indirect effects of the helix sequence on RNA tertiary stability are, in fact, significant but are nevertheless predictable from a simple computational model called RNAMake-∆∆G. When tested through the RNA on a massively parallel array (RNA-MaP) experimental platform, blind predictions for >1500 variants of the tectoRNA heterodimer model system achieve high accuracy (rmsd 0.34 and 0.77 kcal/mol for sequence and length changes, respectively). Detailed comparison of predictions to experiments support a microscopic picture of how helix sequence changes subtly modulate conformational fluctuations at each base-pair step, which accumulate to impact RNA tertiary structure stability. Our study reveals a previously overlooked phenomenon in RNA structure formation and provides a framework of computation and experiment for understanding helix conformational preferences and their impact across biological RNA and RNA-protein assemblies.
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