1
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Leman R, Parfait B, Vidaud D, Girodon E, Pacot L, Le Gac G, Ka C, Ferec C, Fichou Y, Quesnelle C, Aucouturier C, Muller E, Vaur D, Castera L, Boulouard F, Ricou A, Tubeuf H, Soukarieh O, Gaildrat P, Riant F, Guillaud‐Bataille M, Caputo SM, Caux‐Moncoutier V, Boutry‐Kryza N, Bonnet‐Dorion F, Schultz I, Rossing M, Quenez O, Goldenberg L, Harter V, Parsons MT, Spurdle AB, Frébourg T, Martins A, Houdayer C, Krieger S. SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing. Hum Mutat 2022; 43:2308-2323. [PMID: 36273432 PMCID: PMC10946553 DOI: 10.1002/humu.24491] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 10/06/2022] [Accepted: 10/18/2022] [Indexed: 01/25/2023]
Abstract
Modeling splicing is essential for tackling the challenge of variant interpretation as each nucleotide variation can be pathogenic by affecting pre-mRNA splicing via disruption/creation of splicing motifs such as 5'/3' splice sites, branch sites, or splicing regulatory elements. Unfortunately, most in silico tools focus on a specific type of splicing motif, which is why we developed the Splicing Prediction Pipeline (SPiP) to perform, in one single bioinformatic analysis based on a machine learning approach, a comprehensive assessment of the variant effect on different splicing motifs. We gathered a curated set of 4616 variants scattered all along the sequence of 227 genes, with their corresponding splicing studies. The Bayesian analysis provided us with the number of control variants, that is, variants without impact on splicing, to mimic the deluge of variants from high-throughput sequencing data. Results show that SPiP can deal with the diversity of splicing alterations, with 83.13% sensitivity and 99% specificity to detect spliceogenic variants. Overall performance as measured by area under the receiving operator curve was 0.986, better than SpliceAI and SQUIRLS (0.965 and 0.766) for the same data set. SPiP lends itself to a unique suite for comprehensive prediction of spliceogenicity in the genomic medicine era. SPiP is available at: https://sourceforge.net/projects/splicing-prediction-pipeline/.
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Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
- UNICAENNormandie UniversitéCaenFrance
| | - Béatrice Parfait
- Service de Génétique et Biologie Moléculaires, APHP, HUPCHôpital CochinParisFrance
| | - Dominique Vidaud
- Service de Génétique et Biologie Moléculaires, APHP, HUPCHôpital CochinParisFrance
| | - Emmanuelle Girodon
- Service de Génétique et Biologie Moléculaires, APHP, HUPCHôpital CochinParisFrance
| | - Laurence Pacot
- Service de Génétique et Biologie Moléculaires, APHP, HUPCHôpital CochinParisFrance
| | - Gérald Le Gac
- Inserm UMR1078, Genetics, Functional Genomics and BiotechnologyUniversité de Bretagne OccidentaleBrestFrance
| | - Chandran Ka
- Inserm UMR1078, Genetics, Functional Genomics and BiotechnologyUniversité de Bretagne OccidentaleBrestFrance
| | - Claude Ferec
- Inserm UMR1078, Genetics, Functional Genomics and BiotechnologyUniversité de Bretagne OccidentaleBrestFrance
| | - Yann Fichou
- Inserm UMR1078, Genetics, Functional Genomics and BiotechnologyUniversité de Bretagne OccidentaleBrestFrance
| | - Céline Quesnelle
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
| | - Camille Aucouturier
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Etienne Muller
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
| | - Dominique Vaur
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Laurent Castera
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Flavie Boulouard
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Agathe Ricou
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Hélène Tubeuf
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
- Integrative BiosoftwareRouenFrance
| | - Omar Soukarieh
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | | | - Florence Riant
- Laboratoire de Génétique, AP‐HPGH Saint‐Louis‐Lariboisière‐Fernand WidalParisFrance
| | | | - Sandrine M. Caputo
- Department of Genetics, Institut CurieParis Sciences Lettres Research UniversityParisFrance
| | | | - Nadia Boutry‐Kryza
- Unité Mixte de Génétique Constitutionnelle des Cancers FréquentsHospices Civils de LyonLyonFrance
| | - Françoise Bonnet‐Dorion
- Departement de Biopathologie Unité de Génétique ConstitutionnelleInstitut Bergonie—INSERM U1218BordeauxFrance
| | - Ines Schultz
- Laboratoire d'OncogénétiqueCentre Paul StraussStrasbourgFrance
| | - Maria Rossing
- Centre for Genomic Medicine, RigshospitaletUniversity of CopenhagenCopenhagenDenmark
| | - Olivier Quenez
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Louis Goldenberg
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Valentin Harter
- Department of BiostatisticsBaclesse Unicancer CenterCaenFrance
| | - Michael T. Parsons
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteHerstonQueenslandAustralia
| | - Amanda B. Spurdle
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteHerstonQueenslandAustralia
| | - Thierry Frébourg
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
- Department of geneticsRouen University HospitalRouenFrance
| | - Alexandra Martins
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
| | - Claude Houdayer
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
- Department of geneticsRouen University HospitalRouenFrance
| | - Sophie Krieger
- Laboratoire de Biologie et Génétique du CancerCentre François BaclesseCaenFrance
- Inserm U1245, UNIROUEN, FHU‐G4 génomiqueNormandie UniversitéRouenFrance
- UNICAENNormandie UniversitéCaenFrance
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2
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Meulemans L, Baert Desurmont S, Waill MC, Castelain G, Killian A, Hauchard J, Frebourg T, Coulet F, Martins A, Muleris M, Gaildrat P. Comprehensive RNA and protein functional assessments contribute to the clinical interpretation of MSH2 variants causing in-frame splicing alterations. J Med Genet 2022; 60:450-459. [PMID: 36113988 DOI: 10.1136/jmg-2022-108576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/26/2022] [Indexed: 11/04/2022]
Abstract
BackgroundSpliceogenic variants in disease-causing genes are often presumed pathogenic since most induce frameshifts resulting in loss of function. However, it was recently shown in cancer predisposition genes that some may trigger in-frame anomalies that preserve function. Here, we addressed this question by using MSH2, a DNA mismatch repair gene implicated in Lynch syndrome, as a model system.MethodsEighteen MSH2 variants, mostly localised within canonical splice sites, were analysed by using minigene splicing assays. The impact of the resulting protein alterations was assessed in a methylation tolerance-based assay. Clinicopathological characteristics of variant carriers were collected.ResultsThree in-frame RNA biotypes were identified based on variant-induced spliceogenic outcomes: exon skipping (E3, E4, E5 and E12), segmental exonic deletions (E7 and E15) and intronic retentions (I3, I6, I12 and I13). The 10 corresponding protein isoforms exhibit either large deletions (49–93 amino acids (aa)), small deletions (12 or 16 aa) or insertions (3–10 aa) within different functional domains. We showed that all these modifications abrogate MSH2 function, in agreement with the clinicopathological features of variant carriers.ConclusionAltogether, these data demonstrate that MSH2 function is intolerant to in-frame indels caused by the spliceogenic variants analysed in this study, supporting their pathogenic nature. This work stresses the importance of combining complementary RNA and protein approaches to ensure accurate clinical interpretation of in-frame spliceogenic variants.
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Affiliation(s)
- Laëtitia Meulemans
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Stéphanie Baert Desurmont
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, and CHU Rouen, Department of Genetics, F-76000 Rouen, France
| | - Marie-Christine Waill
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Gaia Castelain
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Audrey Killian
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Julie Hauchard
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Thierry Frebourg
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, and CHU Rouen, Department of Genetics, F-76000 Rouen, France
| | - Florence Coulet
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm UMR-S 938, Centre de Recherche Saint-Antoine, CRSA, Paris, France
| | - Alexandra Martins
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
| | - Martine Muleris
- Department of Genetics, AP-HP.Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm UMR-S 938, Centre de Recherche Saint-Antoine, CRSA, Paris, France
| | - Pascaline Gaildrat
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, F-76000 Rouen, France
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3
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Morak M, Pineda M, Martins A, Gaildrat P, Tubeuf H, Drouet A, Gómez C, Dámaso E, Schaefer K, Steinke-Lange V, Koehler U, Laner A, Hauchard J, Chauris K, Holinski-Feder E, Capellá G. Splicing analyses for variants in MMR genes: best practice recommendations from the European Mismatch Repair Working Group. Eur J Hum Genet 2022; 30:1051-1059. [PMID: 35676339 PMCID: PMC9437034 DOI: 10.1038/s41431-022-01106-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 03/20/2022] [Accepted: 04/11/2022] [Indexed: 11/09/2022] Open
Abstract
Over 20% of the DNA mismatch repair (MMR) germline variants in suspected Lynch syndrome patients are classified as variants of uncertain significance (VUS). Well-established functional assays are pivotal for assessing the biological impact of these variants and provide relevant evidence for clinical classification. In our collaborative European Mismatch Repair Working Group (EMMR-WG) we compared three different experimental approaches for evaluating the effect of seven variants on mRNA splicing in MMR genes: (i) RT-PCR of full-length transcripts (FLT), (ii) RT-PCR of targeted transcript sections (TTS), both from patient biological samples and (iii) minigene splicing assays. An overall good concordance was observed between splicing patterns in TTS, FLT and minigene analyses for all variants. The FLT analysis depicted a higher number of different isoforms and mitigated PCR-bias towards shorter isoforms. TTS analyses may miss aberrant isoforms and minigene assays may under/overestimate the severity of certain splicing defects. The interpretation of the experimental findings must be cautious to adequately discriminate abnormal events from physiological complex alternative splicing patterns. A consensus strategy for investigating the impact of MMR variants on splicing was defined. First, RNA should be obtained from patient's cell cultures (such as fresh lymphocyte cultures) incubated with/without a nonsense-mediated decay inhibitor. Second, FLT RT-PCR analysis is recommended to oversee all generated isoforms. Third, TTS analysis and minigene assays are useful independent approaches for verifying and clarifying FLT results. The use of several methodologies is likely to increase the strength of the experimental evidence which contributes to improve variant interpretation.
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Affiliation(s)
- Monika Morak
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany.,MGZ - Medizinisch Genetisches Zentrum, Munich, Germany
| | - Marta Pineda
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | | | | | - Hélène Tubeuf
- Inserm U1245, UNIROUEN, Normandie Univ, F-76000, Rouen, France.,Interactive Biosoftware, Rouen, France
| | - Aurélie Drouet
- Inserm U1245, UNIROUEN, Normandie Univ, F-76000, Rouen, France
| | - Carolina Gómez
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain
| | - Estela Dámaso
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain
| | - Kerstin Schaefer
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany
| | - Verena Steinke-Lange
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany.,MGZ - Medizinisch Genetisches Zentrum, Munich, Germany
| | - Udo Koehler
- MGZ - Medizinisch Genetisches Zentrum, Munich, Germany
| | - Andreas Laner
- MGZ - Medizinisch Genetisches Zentrum, Munich, Germany
| | - Julie Hauchard
- Inserm U1245, UNIROUEN, Normandie Univ, F-76000, Rouen, France
| | - Karine Chauris
- Inserm U1245, UNIROUEN, Normandie Univ, F-76000, Rouen, France
| | - Elke Holinski-Feder
- Medizinische Klinik und Poliklinik IV, Campus Innenstadt, Klinikum der Universität München, Munich, Germany. .,MGZ - Medizinisch Genetisches Zentrum, Munich, Germany.
| | - Gabriel Capellá
- Hereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
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4
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Saint-Martin C, Cauchois-Le Mière M, Rex E, Soukarieh O, Arnoux JB, Buratti J, Bouvet D, Frébourg T, Gaildrat P, Shyng SL, Bellanné-Chantelot C, Martins A. Functional characterization of ABCC8 variants of unknown significance based on bioinformatics predictions, splicing assays, and protein analyses: Benefits for the accurate diagnosis of congenital hyperinsulinism. Hum Mutat 2021; 42:408-420. [PMID: 33410562 DOI: 10.1002/humu.24164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 12/06/2020] [Accepted: 12/31/2020] [Indexed: 12/20/2022]
Abstract
ABCC8 encodes the SUR1 subunit of the β-cell ATP-sensitive potassium channel whose loss of function causes congenital hyperinsulinism (CHI). Molecular diagnosis is critical for optimal management of CHI patients. Unfortunately, assessing the impact of ABCC8 variants on RNA splicing remains very challenging as this gene is poorly expressed in leukocytes. Here, we performed bioinformatics analysis and cell-based minigene assays to assess the impact on splicing of 13 ABCC8 variants identified in 20 CHI patients. Next, channel properties of SUR1 proteins expected to originate from minigene-detected in-frame splicing defects were analyzed after ectopic expression in COSm6 cells. Out of the analyzed variants, seven induced out-of-frame splicing defects and were therefore classified as recessive pathogenic, whereas two led to skipping of in-frame exons. Channel functional analysis of the latter demonstrated their pathogenicity. Interestingly, the common rs757110 SNP increased exon skipping in our system suggesting that it may act as a disease modifier factor. Our strategy allowed determining the pathogenicity of all selected ABCC8 variants, and CHI-inheritance pattern for 16 out of the 20 patients. This study highlights the value of combining RNA and protein functional approaches in variant interpretation and reveals the minigene splicing assay as a new tool for CHI molecular diagnostics.
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Affiliation(s)
- Cécile Saint-Martin
- Department of Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Marine Cauchois-Le Mière
- Inserm U1245, UFR de Médecine et Pharmacie, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Emily Rex
- Department of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, OR, USA
| | - Omar Soukarieh
- Inserm U1245, UFR de Médecine et Pharmacie, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Jean-Baptiste Arnoux
- Department of Inherited Metabolic Disease, Necker-Enfants Malades University Hospital, AP-HP, Paris, France
| | - Julien Buratti
- Department of Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Delphine Bouvet
- Department of Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Thierry Frébourg
- Inserm U1245, UFR de Médecine et Pharmacie, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Pascaline Gaildrat
- Inserm U1245, UFR de Médecine et Pharmacie, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Show-Ling Shyng
- Department of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, OR, USA
| | | | - Alexandra Martins
- Inserm U1245, UFR de Médecine et Pharmacie, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
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5
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Tubeuf H, Charbonnier C, Soukarieh O, Blavier A, Lefebvre A, Dauchel H, Frebourg T, Gaildrat P, Martins A. Large-scale comparative evaluation of user-friendly tools for predicting variant-induced alterations of splicing regulatory elements. Hum Mutat 2020; 41:1811-1829. [PMID: 32741062 DOI: 10.1002/humu.24091] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 07/11/2020] [Accepted: 07/26/2020] [Indexed: 12/20/2022]
Abstract
Discriminating which nucleotide variants cause disease or contribute to phenotypic traits remains a major challenge in human genetics. In theory, any intragenic variant can potentially affect RNA splicing by altering splicing regulatory elements (SREs). However, these alterations are often ignored mainly because pioneer SRE predictors have proved inefficient. Here, we report the first large-scale comparative evaluation of four user-friendly SRE-dedicated algorithms (QUEPASA, HEXplorer, SPANR, and HAL) tested both as standalone tools and in multiple combined ways based on two independent benchmark datasets adding up to >1,300 exonic variants studied at the messenger RNA level and mapping to 89 different disease-causing genes. These methods display good predictive power, based on decision thresholds derived from the receiver operating characteristics curve analyses, with QUEPASA and HAL having the best accuracies either as standalone or in combination. Still, overall there was a tight race between the four predictors, suggesting that all methods may be of use. Additionally, QUEPASA and HEXplorer may be beneficial as well for predicting variant-induced creation of pseudoexons deep within introns. Our study highlights the potential of SRE predictors as filtering tools for identifying disease-causing candidates among the plethora of variants detected by high-throughput DNA sequencing and provides guidance for their use in genomic medicine settings.
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Affiliation(s)
- Hélène Tubeuf
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Interactive Biosoftware, Rouen, France
| | - Camille Charbonnier
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Omar Soukarieh
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | | | - Arnaud Lefebvre
- Computer Science, Information Processing and Systems Laboratory, UNIROUEN, Normandie University, Mont-Saint-Aignan, France
| | - Hélène Dauchel
- Computer Science, Information Processing and Systems Laboratory, UNIROUEN, Normandie University, Mont-Saint-Aignan, France
| | - Thierry Frebourg
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Pascaline Gaildrat
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Alexandra Martins
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
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6
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Tubeuf H, Caputo SM, Sullivan T, Rondeaux J, Krieger S, Caux-Moncoutier V, Hauchard J, Castelain G, Fiévet A, Meulemans L, Révillion F, Léoné M, Boutry-Kryza N, Delnatte C, Guillaud-Bataille M, Cleveland L, Reid S, Southon E, Soukarieh O, Drouet A, Di Giacomo D, Vezain M, Bonnet-Dorion F, Bourdon V, Larbre H, Muller D, Pujol P, Vaz F, Audebert-Bellanger S, Colas C, Venat-Bouvet L, Solano AR, Stoppa-Lyonnet D, Houdayer C, Frebourg T, Gaildrat P, Sharan SK, Martins A. Calibration of Pathogenicity Due to Variant-Induced Leaky Splicing Defects by Using BRCA2 Exon 3 as a Model System. Cancer Res 2020; 80:3593-3605. [PMID: 32641407 DOI: 10.1158/0008-5472.can-20-0895] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/14/2020] [Accepted: 07/02/2020] [Indexed: 12/25/2022]
Abstract
BRCA2 is a clinically actionable gene implicated in breast and ovarian cancer predisposition that has become a high priority target for improving the classification of variants of unknown significance (VUS). Among all BRCA2 VUS, those causing partial/leaky splicing defects are the most challenging to classify because the minimal level of full-length (FL) transcripts required for normal function remains to be established. Here, we explored BRCA2 exon 3 (BRCA2e3) as a model for calibrating variant-induced spliceogenicity and estimating thresholds for BRCA2 haploinsufficiency. In silico predictions, minigene splicing assays, patients' RNA analyses, a mouse embryonic stem cell (mESC) complementation assay and retrieval of patient-related information were combined to determine the minimal requirement of FL BRCA2 transcripts. Of 100 BRCA2e3 variants tested in the minigene assay, 64 were found to be spliceogenic, causing mild to severe RNA defects. Splicing defects were also confirmed in patients' RNA when available. Analysis of a neutral leaky variant (c.231T>G) showed that a reduction of approximately 60% of FL BRCA2 transcripts from a mutant allele does not cause any increase in cancer risk. Moreover, data obtained from mESCs suggest that variants causing a decline in FL BRCA2 with approximately 30% of wild-type are not pathogenic, given that mESCs are fully viable and resistant to DNA-damaging agents in those conditions. In contrast, mESCs producing lower relative amounts of FL BRCA2 exhibited either null or hypomorphic phenotypes. Overall, our findings are likely to have broader implications on the interpretation of BRCA2 variants affecting the splicing pattern of other essential exons. SIGNIFICANCE: These findings demonstrate that BRCA2 tumor suppressor function tolerates substantial reduction in full-length transcripts, helping to determine the pathogenicity of BRCA2 leaky splicing variants, some of which may not increase cancer risk.
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Affiliation(s)
- Hélène Tubeuf
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Interactive Biosoftware, Rouen, France
| | - Sandrine M Caputo
- Department of Genetics, Institut Curie, Paris, France.,PSL Research University, Paris, France
| | - Teresa Sullivan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland
| | - Julie Rondeaux
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Sophie Krieger
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Laboratory of Cancer Biology and Genetics, Centre François Baclesse, Caen, France - Normandie University, UNICAEN, Caen, France
| | | | - Julie Hauchard
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Gaia Castelain
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Alice Fiévet
- Department of Genetics, Institut Curie, Paris, France.,INSERM U830, University Paris Descartes, Paris, France.,Service Génétique des Tumeurs, Gustave Roussy, Villejuif, France
| | - Laëtitia Meulemans
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | | | | | | | | | | | - Linda Cleveland
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland
| | - Susan Reid
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland
| | - Eileen Southon
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland
| | - Omar Soukarieh
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Aurélie Drouet
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Daniela Di Giacomo
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Myriam Vezain
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | | | - Violaine Bourdon
- Department of Genetics, Institut Paoli-Calmettes, Marseille, France
| | - Hélène Larbre
- Laboratoire d'Oncogénétique Moléculaire, Institut Godinot, Reims, France
| | - Danièle Muller
- Unité d'Oncogénétique, Centre Paul Strauss, Strasbourg, France
| | - Pascal Pujol
- Unité d'Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
| | - Fátima Vaz
- Breast Cancer Risk Evaluation Clinic, Portuguese Institute of Oncology of Lisbon, Lisbon, Portugal
| | | | - Chrystelle Colas
- Department of Genetics, Institut Curie, Paris, France.,PSL Research University, Paris, France
| | | | - Angela R Solano
- Genotipificacion y Cancer Hereditario, Departmento de Analisis Clinicos, Centro de Educacion Medica e Investigaciones Clinicas (CEMIC), Ciudad Autonoma de Buenos Aires, Argentina
| | - Dominique Stoppa-Lyonnet
- Department of Genetics, Institut Curie, Paris, France.,INSERM U830, University Paris Descartes, Paris, France
| | - Claude Houdayer
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Thierry Frebourg
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Pascaline Gaildrat
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Shyam K Sharan
- Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland
| | - Alexandra Martins
- Inserm U1245, UNIROUEN, Normandie University, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.
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7
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Meulemans L, Mesman RLS, Caputo SM, Krieger S, Guillaud-Bataille M, Caux-Moncoutier V, Léone M, Boutry-Kryza N, Sokolowska J, Révillion F, Delnatte C, Tubeuf H, Soukarieh O, Bonnet-Dorion F, Guibert V, Bronner M, Bourdon V, Lizard S, Vilquin P, Privat M, Drouet A, Grout C, Calléja FMGR, Golmard L, Vrieling H, Stoppa-Lyonnet D, Houdayer C, Frebourg T, Vreeswijk MPG, Martins A, Gaildrat P. Skipping Nonsense to Maintain Function: The Paradigm of BRCA2 Exon 12. Cancer Res 2020; 80:1374-1386. [PMID: 32046981 DOI: 10.1158/0008-5472.can-19-2491] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 12/18/2019] [Accepted: 02/06/2020] [Indexed: 11/16/2022]
Abstract
Germline nonsense and canonical splice site variants identified in disease-causing genes are generally considered as loss-of-function (LoF) alleles and classified as pathogenic. However, a fraction of such variants could maintain function through their impact on RNA splicing. To test this hypothesis, we used the alternatively spliced BRCA2 exon 12 (E12) as a model system because its in-frame skipping leads to a potentially functional protein. All E12 variants corresponding to putative LoF variants or predicted to alter splicing (n = 40) were selected from human variation databases and characterized for their impact on splicing in minigene assays and, when available, in patient lymphoblastoid cell lines. Moreover, a selection of variants was analyzed in a mouse embryonic stem cell-based functional assay. Using these complementary approaches, we demonstrate that a subset of variants, including nonsense variants, induced in-frame E12 skipping through the modification of splice sites or regulatory elements and, consequently, led to an internally deleted but partially functional protein. These data provide evidence, for the first time in a cancer-predisposition gene, that certain presumed null variants can retain function due to their impact on splicing. Further studies are required to estimate cancer risk associated with these hypomorphic variants. More generally, our findings highlight the need to exercise caution in the interpretation of putative LoF variants susceptible to induce in-frame splicing modifications. SIGNIFICANCE: This study presents evidence that certain presumed loss-of-function variants in a cancer predisposition gene can retain function due to their direct impact on RNA splicing.
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Affiliation(s)
- Laëtitia Meulemans
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Romy L S Mesman
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Sandrine M Caputo
- Department of Genetics, Institut Curie, Paris, France.,PSL Research University, Paris, France
| | - Sophie Krieger
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Laboratory of Cancer Biology and Genetics, Centre François Baclesse, Caen, France.,Normandie University, UNICAEN, Caen, France
| | | | | | | | | | | | | | | | - Hélène Tubeuf
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Interactive Biosoftware, Rouen, France
| | - Omar Soukarieh
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | | | - Virginie Guibert
- Department of Genetics, Nantes University Hospital, Nantes, France
| | - Myriam Bronner
- Department of Genetics, Nancy University Hospital, Nancy, France
| | - Violaine Bourdon
- Department of Genetics, Institut Paoli-Calmettes, Marseille, France
| | - Sarab Lizard
- Department of Genetics, Nancy University Hospital, Nancy, France
| | - Paul Vilquin
- Department of Pathology and Oncobiology, Montpellier University Hospital, Montpellier, France
| | - Maud Privat
- University of Clermont Auvergne, Inserm U1240, Clermont Ferrand, France.,Department of Oncogenetics, Centre Jean Perrin, Clermont Ferrand, France
| | - Aurélie Drouet
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Charlotte Grout
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | | | - Lisa Golmard
- Department of Genetics, Institut Curie, Paris, France.,PSL Research University, Paris, France
| | - Harry Vrieling
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Dominique Stoppa-Lyonnet
- Department of Genetics, Institut Curie, Paris, France.,Inserm U830, University Paris Descartes, Paris, France
| | - Claude Houdayer
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, Institut Curie, Paris, France.,Department of Genetics, Rouen University Hospital, Rouen, France
| | - Thierry Frebourg
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.,Department of Genetics, Rouen University Hospital, Rouen, France
| | - Maaike P G Vreeswijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Alexandra Martins
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Pascaline Gaildrat
- Normandie Univ, UNIROUEN, Inserm U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen, France.
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8
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Leman R, Tubeuf H, Raad S, Tournier I, Derambure C, Lanos R, Gaildrat P, Castelain G, Hauchard J, Killian A, Baert-Desurmont S, Legros A, Goardon N, Quesnelle C, Ricou A, Castera L, Vaur D, Le Gac G, Ka C, Fichou Y, Bonnet-Dorion F, Sevenet N, Guillaud-Bataille M, Boutry-Kryza N, Schultz I, Caux-Moncoutier V, Rossing M, Walker LC, Spurdle AB, Houdayer C, Martins A, Krieger S. Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants. BMC Genomics 2020; 21:86. [PMID: 31992191 PMCID: PMC6988378 DOI: 10.1186/s12864-020-6484-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 01/10/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Branch points (BPs) map within short motifs upstream of acceptor splice sites (3'ss) and are essential for splicing of pre-mature mRNA. Several BP-dedicated bioinformatics tools, including HSF, SVM-BPfinder, BPP, Branchpointer, LaBranchoR and RNABPS were developed during the last decade. Here, we evaluated their capability to detect the position of BPs, and also to predict the impact on splicing of variants occurring upstream of 3'ss. RESULTS We used a large set of constitutive and alternative human 3'ss collected from Ensembl (n = 264,787 3'ss) and from in-house RNAseq experiments (n = 51,986 3'ss). We also gathered an unprecedented collection of functional splicing data for 120 variants (62 unpublished) occurring in BP areas of disease-causing genes. Branchpointer showed the best performance to detect the relevant BPs upstream of constitutive and alternative 3'ss (99.48 and 65.84% accuracies, respectively). For variants occurring in a BP area, BPP emerged as having the best performance to predict effects on mRNA splicing, with an accuracy of 89.17%. CONCLUSIONS Our investigations revealed that Branchpointer was optimal to detect BPs upstream of 3'ss, and that BPP was most relevant to predict splicing alteration due to variants in the BP area.
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Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France. .,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France. .,Université Caen-Normandie, Caen, France.
| | - Hélène Tubeuf
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France.,Interactive Biosoftware, Rouen, France
| | - Sabine Raad
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Isabelle Tournier
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Céline Derambure
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Raphaël Lanos
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Pascaline Gaildrat
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Gaia Castelain
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Julie Hauchard
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Audrey Killian
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Stéphanie Baert-Desurmont
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Angelina Legros
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France
| | - Nicolas Goardon
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France.,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Céline Quesnelle
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France
| | - Agathe Ricou
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France.,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Laurent Castera
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France.,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Dominique Vaur
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France.,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Gérald Le Gac
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, Brest, France
| | - Chandran Ka
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, Brest, France
| | - Yann Fichou
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, Brest, France
| | - Françoise Bonnet-Dorion
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, Bordeaux, France
| | - Nicolas Sevenet
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, Bordeaux, France
| | | | - Nadia Boutry-Kryza
- Lyon Neuroscience Research Center-CRNL, Inserm U1028, CNRS UMR 5292, University of Lyon, Lyon, France
| | - Inès Schultz
- Laboratoire d'Oncogénétique, Centre Paul Strauss, Strasbourg, France
| | | | - Maria Rossing
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Logan C Walker
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Claude Houdayer
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Alexandra Martins
- Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France
| | - Sophie Krieger
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, Caen, France. .,Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, UNIROUEN, Normandy University, Caen, France. .,Université Caen-Normandie, Caen, France. .,Present address: Laboratoire de biologie et génétique des cancers, Centre François Baclesse, Caen, France.
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9
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Leman R, Gaildrat P, Le Gac G, Ka C, Fichou Y, Audrezet MP, Caux-Moncoutier V, Caputo SM, Boutry-Kryza N, Léone M, Mazoyer S, Bonnet-Dorion F, Sevenet N, Guillaud-Bataille M, Rouleau E, Bressac-de Paillerets B, Wappenschmidt B, Rossing M, Muller D, Bourdon V, Revillon F, Parsons MT, Rousselin A, Davy G, Castelain G, Castéra L, Sokolowska J, Coulet F, Delnatte C, Férec C, Spurdle AB, Martins A, Krieger S, Houdayer C. Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort. Nucleic Acids Res 2019; 48:1600-1601. [PMID: 31863589 PMCID: PMC7026662 DOI: 10.1093/nar/gkz1212] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Pascaline Gaildrat
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gérald Le Gac
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Chandran Ka
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Yann Fichou
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Marie-Pierre Audrezet
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Virginie Caux-Moncoutier
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
| | | | - Nadia Boutry-Kryza
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Mélanie Léone
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Sylvie Mazoyer
- Lyon Neuroscience Research Center-CRNL, Inserm U1028, CNRS UMR 5292, University of Lyon, 69008 Lyon, France
| | - Françoise Bonnet-Dorion
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | - Nicolas Sevenet
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | | | - Etienne Rouleau
- Gustave Roussy, Université Paris-Saclay, Département de Biopathologie, 94805 Villejuif, France
| | | | - Barbara Wappenschmidt
- Division of Molecular Gynaeco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, 50937 Cologne, Germany
| | - Maria Rossing
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen, 1017 Copenhagen, Denmark
| | - Danielle Muller
- Laboratoire d'Oncogénétique, Centre Paul Strauss, 67000 Strasbourg, France
| | - Violaine Bourdon
- Laboratoire d'Oncogénétique Moléculaire, Institut Paoli-Calmettes, 13009 Marseille, France
| | - Françoise Revillon
- Laboratoire d'Oncogénétique Moléculaire Humaine, Centre Oscar Lambret, 59000 Lille, France
| | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Antoine Rousselin
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Grégoire Davy
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gaia Castelain
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Laurent Castéra
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | | | - Florence Coulet
- Service de génétique, Hôpital Pitié Salpétrière, AP-HP, 75013 Paris, France
| | - Capucine Delnatte
- Laboratoire de génétique moléculaire, CHU Nantes, 44000 Nantes, France
| | - Claude Férec
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Alexandra Martins
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Sophie Krieger
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Claude Houdayer
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
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10
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Leman R, Gaildrat P, Le Gac G, Ka C, Fichou Y, Audrezet MP, Caux-Moncoutier V, Caputo SM, Boutry-Kryza N, Léone M, Mazoyer S, Bonnet-Dorion F, Sevenet N, Guillaud-Bataille M, Rouleau E, Bressac-de Paillerets B, Wappenschmidt B, Rossing M, Muller D, Bourdon V, Revillon F, Parsons MT, Rousselin A, Davy G, Castelain G, Castéra L, Sokolowska J, Coulet F, Delnatte C, Férec C, Spurdle AB, Martins A, Krieger S, Houdayer C. Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort. Nucleic Acids Res 2019; 46:7913-7923. [PMID: 29750258 PMCID: PMC6125621 DOI: 10.1093/nar/gky372] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/27/2018] [Indexed: 12/17/2022] Open
Abstract
Variant interpretation is the key issue in molecular diagnosis. Spliceogenic variants exemplify this issue as each nucleotide variant can be deleterious via disruption or creation of splice site consensus sequences. Consequently, reliable in silico prediction of variant spliceogenicity would be a major improvement. Thanks to an international effort, a set of 395 variants studied at the mRNA level and occurring in 5′ and 3′ consensus regions (defined as the 11 and 14 bases surrounding the exon/intron junction, respectively) was collected for 11 different genes, including BRCA1, BRCA2, CFTR and RHD, and used to train and validate a new prediction protocol named Splicing Prediction in Consensus Elements (SPiCE). SPiCE combines in silico predictions from SpliceSiteFinder-like and MaxEntScan and uses logistic regression to define optimal decision thresholds. It revealed an unprecedented sensitivity and specificity of 99.5 and 95.2%, respectively, and the impact on splicing was correctly predicted for 98.8% of variants. We therefore propose SPiCE as the new tool for predicting variant spliceogenicity. It could be easily implemented in any diagnostic laboratory as a routine decision making tool to help geneticists to face the deluge of variants in the next-generation sequencing era. SPiCE is accessible at (https://sourceforge.net/projects/spicev2-1/).
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Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Pascaline Gaildrat
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gérald Le Gac
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Chandran Ka
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Yann Fichou
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Marie-Pierre Audrezet
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Virginie Caux-Moncoutier
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
| | | | - Nadia Boutry-Kryza
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Mélanie Léone
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Sylvie Mazoyer
- Lyon Neuroscience Research Center-CRNL, Inserm U1028, CNRS UMR 5292, University of Lyon, 69008 Lyon, France
| | - Françoise Bonnet-Dorion
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | - Nicolas Sevenet
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | | | - Etienne Rouleau
- Gustave Roussy, Université Paris-Saclay, Département de Biopathologie, 94805 Villejuif, France
| | | | - Barbara Wappenschmidt
- Division of Molecular Gynaeco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, 50937 Cologne, Germany
| | - Maria Rossing
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen, 1017 Copenhagen, Denmark
| | - Danielle Muller
- Laboratoire d'Oncogénétique, Centre Paul Strauss, 67000 Strasbourg, France
| | - Violaine Bourdon
- Laboratoire d'Oncogénétique Moléculaire, Institut Paoli-Calmettes, 13009 Marseille, France
| | - Françoise Revillon
- Laboratoire d'Oncogénétique Moléculaire Humaine, Centre Oscar Lambret, 59000 Lille, France
| | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Antoine Rousselin
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Grégoire Davy
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gaia Castelain
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Laurent Castéra
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | | | - Florence Coulet
- Service de génétique, Hôpital Pitié Salpétrière, AP-HP, 75013 Paris, France
| | - Capucine Delnatte
- Laboratoire de génétique moléculaire, CHU Nantes, 44000 Nantes, France
| | - Claude Férec
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Alexandra Martins
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Sophie Krieger
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Claude Houdayer
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
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11
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Le Guennec K, Tubeuf H, Hannequin D, Wallon D, Quenez O, Rousseau S, Richard AC, Deleuze JF, Boland A, Frebourg T, Gaildrat P, Campion D, Martins A, Nicolas G. Biallelic Loss of Function of SORL1 in an Early Onset Alzheimer's Disease Patient. J Alzheimers Dis 2019; 62:821-831. [PMID: 29480197 DOI: 10.3233/jad-170981] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Heterozygous SORL1 protein truncating variants (PTV) are a strong risk factor for early-onset Alzheimer's disease (EOAD). In case control studies performed at the genome-wide level, PTV definition is usually straightforward. Regarding splice site variants, only those affecting canonical sites are typically included. Some other variants, not annotated as PTV, could, however, affect splicing and hence result in a loss of SORL1 function. We took advantage of the whole exome sequencing data from the 9/484 patients with a previously reported SORL1 PTV in the French EOAD series and searched for a second variant which may affect splicing and eventually result in more than 50% loss of function overall. We found that one patient, known to carry a variant predicted to disrupt the canonical 5' splice site of exon 8, also carried a second novel intronic variant predicted to affect SORL1 splicing of exon 29. Segregation analysis showed that the second variant was located in trans from the known PTV. We performed ex vivo minigene splicing assays and showed that both variants led to the generation of transcripts containing a premature stop codon. This is therefore the first evidence of a human carrying biallelic SORL1 PTV. This patient had a family history of dementia in both maternal and paternal lineages with later ages of onset than the proband himself. However, his 55 years age at onset was in the same ranges as previously published SORL1 heterozygous PTV carriers. This suggests that biallelic loss of SORL1 function is an extremely rare event that was not associated with a dramatically earlier age at onset than heterozygous SORL1 loss-of-function variant carriers, in this single patient.
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Affiliation(s)
- Kilan Le Guennec
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Hélène Tubeuf
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Didier Hannequin
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, Department of Neurology and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - David Wallon
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, Department of Neurology and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Olivier Quenez
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Stéphane Rousseau
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Anne-Claire Richard
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Evry, France
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Evry, France
| | - Thierry Frebourg
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Pascaline Gaildrat
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Dominique Campion
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France.,Department of Research, Rouvray Psychiatric Hospital, Sotteville-lès-Rouen, France
| | - Alexandra Martins
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Gaël Nicolas
- Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, Department of Genetics and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Rouen, France
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12
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Leman R, Gaildrat P, Gac GL, Ka C, Fichou Y, Audrezet MP, Caux-Moncoutier V, Caputo SM, Boutry-Kryza N, Léone M, Mazoyer S, Bonnet-Dorion F, Sevenet N, Guillaud-Bataille M, Rouleau E, Paillerets BBD, Wappenschmidt B, Rossing M, Muller D, Bourdon V, Revillon F, Parsons MT, Rousselin A, Davy G, Castelain G, Castéra L, Sokolowska J, Coulet F, Delnatte C, Férec C, Spurdle AB, Martins A, Krieger S, Houdayer C. Corrigendum: Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort. Nucleic Acids Res 2018; 46:11656-11657. [PMID: 30321405 PMCID: PMC6277085 DOI: 10.1093/nar/gky979] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Pascaline Gaildrat
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gérald L Gac
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Chandran Ka
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Yann Fichou
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Marie-Pierre Audrezet
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Virginie Caux-Moncoutier
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
| | | | - Nadia Boutry-Kryza
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Mélanie Léone
- Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon, 69000 Lyon, France
| | - Sylvie Mazoyer
- Lyon Neuroscience Research Center-CRNL, Inserm U1028, CNRS UMR 5292, University of Lyon, 69008 Lyon, France
| | - Françoise Bonnet-Dorion
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | - Nicolas Sevenet
- Inserm U916, Département de Pathologie, Laboratoire de Génétique Constitutionnelle, Institut Bergonié, 33000 Bordeaux, France
| | | | - Etienne Rouleau
- Gustave Roussy, Université Paris-Saclay, Département de Biopathologie, 94805 Villejuif, France
| | | | - Barbara Wappenschmidt
- Division of Molecular Gynaeco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, 50937 Cologne, Germany
| | - Maria Rossing
- Centre for Genomic Medicine, Rigshospitalet, University of Copenhagen, 1017 Copenhagen, Denmark
| | - Danielle Muller
- Laboratoire d'Oncogénétique, Centre Paul Strauss, 67000 Strasbourg, France
| | - Violaine Bourdon
- Laboratoire d'Oncogénétique Moléculaire, Institut Paoli-Calmettes, 13009 Marseille, France
| | - Françoise Revillon
- Laboratoire d'Oncogénétique Moléculaire Humaine, Centre Oscar Lambret, 59000 Lille, France
| | - Michael T Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Antoine Rousselin
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Grégoire Davy
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Gaia Castelain
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Laurent Castéra
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | | | - Florence Coulet
- Service de génétique, Hôpital Pitié Salpétrière, AP-HP, 75013 Paris, France
| | - Capucine Delnatte
- Laboratoire de génétique moléculaire, CHU Nantes, 44000 Nantes, France
| | - Claude Férec
- Inserm UMR1078, Genetics, Functional Genomics and Biotechnology, Université de Bretagne Occidentale, 29200 Brest, France
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, 4006 Herston, Queensland, Australia
| | - Alexandra Martins
- Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France
| | - Sophie Krieger
- Laboratoire de Biologie Clinique et Oncologique, Centre François Baclesse, 14000 Caen, France.,Inserm U1245 Genomics and Personalized Medecine in Cancer and Neurological Disorders, Normandie Univ, UNIROUEN, Normandy Centre for Genomic and Personalized Medicine, 76031 Rouen, France.,Normandie Univ, UNICAEN, 14000 Caen, France
| | - Claude Houdayer
- Inserm U830, Institut Curie Centre de Recherches, 75005 Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, 75005 Paris, France.,Service de Génétique, Institut Curie, 75005 Paris, France
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13
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Davy G, Rousselin A, Goardon N, Castéra L, Harter V, Legros A, Muller E, Fouillet R, Brault B, Smirnova AS, Lemoine F, de la Grange P, Guillaud-Bataille M, Caux-Moncoutier V, Houdayer C, Bonnet F, Blanc-Fournier C, Gaildrat P, Frebourg T, Martins A, Vaur D, Krieger S. Detecting splicing patterns in genes involved in hereditary breast and ovarian cancer. Eur J Hum Genet 2017; 25:1147-1154. [PMID: 28905878 DOI: 10.1038/ejhg.2017.116] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 05/13/2017] [Accepted: 06/13/2017] [Indexed: 12/15/2022] Open
Abstract
Interpretation of variants of unknown significance (VUS) is a major challenge for laboratories performing molecular diagnosis of hereditary breast and ovarian cancer (HBOC), especially considering that many genes are now known to be involved in this syndrome. One important way these VUS can have a functional impact is through their effects on RNA splicing. Here we present a custom RNA-Seq assay plus bioinformatics and biostatistics pipeline to analyse specifically alternative and abnormal splicing junctions in 11 targeted HBOC genes. Our pipeline identified 14 new alternative splices in BRCA1 and BRCA2 in addition to detecting the majority of known alternative spliced transcripts therein. We provide here the first global splicing pattern analysis for the other nine genes, which will enable a comprehensive interpretation of splicing defects caused by VUS in HBOC. Previously known splicing alterations were consistently detected, occasionally with a more complex splicing pattern than expected. We also found that splicing in the 11 genes is similar in blood and breast tissue, supporting the utility and simplicity of blood splicing assays. Our pipeline is ready to be integrated into standard molecular diagnosis for HBOC, but it could equally be adapted for an integrative analysis of any multigene disorder.
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Affiliation(s)
- Grégoire Davy
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Antoine Rousselin
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Nicolas Goardon
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Laurent Castéra
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Valentin Harter
- Cancéropôle Nord-Ouest Data Processing Centre, CLCC François Baclesse, Caen, France
| | - Angelina Legros
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France
| | - Etienne Muller
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Robin Fouillet
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France
| | - Baptiste Brault
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Anna S Smirnova
- Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Fréderic Lemoine
- GenoSplice Technology, iPEPS-ICM, Pitié-Salpétrière Hospital, Paris, France
| | | | | | | | - Claude Houdayer
- Department of Genetics, Institut Curie, Paris, France.,Inserm U830, Paris, France.,Université Paris-Descartes, Sorbonne Paris Cité, Paris, France
| | - Françoise Bonnet
- Laboratory of Molecular Genetics, Institut Bergonié, Bordeaux, France
| | - Cécile Blanc-Fournier
- Department of Pathology, CLCC François Baclesse, Caen, France.,Tumorothèque de Caen Basse-Normandie, Caen, France
| | - Pascaline Gaildrat
- Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Thierry Frebourg
- Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France.,Department of Genetics, University Hospital, Normandy Centre for Genomic and Personalized Medicine, Rouen, France
| | - Alexandra Martins
- Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Dominique Vaur
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Sophie Krieger
- Department of Cancer Biology and Genetics, CLCC François Baclesse, Normandy Centre for Genomic and Personalized Medicine, Caen, France.,Inserm U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France.,University of Caen Normandy, Caen, France
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14
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Gaildrat P, Lebbah S, Tebani A, Sudrié-Arnaud B, Tostivint I, Bollee G, Tubeuf H, Charles T, Bertholet-Thomas A, Goldenberg A, Barbey F, Martins A, Saugier-Veber P, Frébourg T, Knebelmann B, Bekri S. Clinical and molecular characterization of cystinuria in a French cohort: relevance of assessing large-scale rearrangements and splicing variants. Mol Genet Genomic Med 2017; 5:373-389. [PMID: 28717662 PMCID: PMC5511796 DOI: 10.1002/mgg3.294] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2017] [Revised: 03/27/2017] [Accepted: 04/06/2017] [Indexed: 02/04/2023] Open
Abstract
Background Cystinuria is an autosomal recessive disorder of dibasic amino acid transport in the kidney and the intestine leading to increased urinary cystine excretion and nephrolithiasis. Two genes, SLC3A1 and SLC7A9, coding respectively for rBAT and b0,+AT, account for the genetic basis of cystinuria. Methods This study reports the clinical and molecular characterization of a French cohort including 112 cystinuria patients and 25 relatives from 99 families. Molecular screening was performed using sequencing and Quantitative Multiplex PCR of Short Fluorescent Fragments analyses. Functional minigene‐based assays have been used to characterize splicing variants. Results Eighty‐eight pathogenic nucleotide changes were identified in SLC3A1 (63) and SLC7A9 (25) genes, of which 42 were novel. Interestingly, 17% (15/88) and 11% (10/88) of the total number of variants correspond, respectively, to large‐scale rearrangements and splicing mutations. Functional minigene‐based assays were performed for six variants located outside the most conserved sequences of the splice sites; three variants affect splice sites, while three others modify exonic splicing regulatory elements (ESR), in good agreement with a new in silico prediction based on ΔtESRseq values. Conclusion This report expands the spectrum of SLC3A1 and SLC7A9 variants and supports that digenic inheritance is unlikely. Furthermore, it highlights the relevance of assessing large‐scale rearrangements and splicing mutations to fully characterize cystinuria patients at the molecular level.
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Affiliation(s)
- Pascaline Gaildrat
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance
| | - Said Lebbah
- Department of NephrologyNecker HospitalParisFrance
| | - Abdellah Tebani
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance.,Department of Metabolic BiochemistryRouen University HospitalRouenFrance
| | | | | | | | - Hélène Tubeuf
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance.,Interactive BiosoftwareRouenFrance
| | | | | | | | - Frederic Barbey
- Department of TransplantationCHUV Department of PediatricsLausanne University HospitalLausanneSwitzerland
| | - Alexandra Martins
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance
| | - Pascale Saugier-Veber
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance.,Department of GeneticsRouen University HospitalRouenFrance
| | - Thierry Frébourg
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance.,Department of GeneticsRouen University HospitalRouenFrance
| | | | - Soumeya Bekri
- Inserm U1245UNIROUENNormandie UnivNormandy Centre for Genomic and Personalized MedicineRouenFrance.,Department of Metabolic BiochemistryRouen University HospitalRouenFrance
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15
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Tricarico R, Kasela M, Mareni C, Thompson BA, Drouet A, Staderini L, Gorelli G, Crucianelli F, Ingrosso V, Kantelinen J, Papi L, De Angioletti M, Berardi M, Gaildrat P, Soukarieh O, Turchetti D, Martins A, Spurdle AB, Nyström M, Genuardi M. Assessment of the InSiGHT Interpretation Criteria for the Clinical Classification of 24 MLH1 and MSH2 Gene Variants. Hum Mutat 2016; 38:64-77. [PMID: 27629256 DOI: 10.1002/humu.23117] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 09/04/2016] [Accepted: 09/09/2016] [Indexed: 01/15/2023]
Abstract
Pathogenicity assessment of DNA variants in disease genes to explain their clinical consequences is an integral component of diagnostic molecular testing. The International Society for Gastrointestinal Hereditary Tumors (InSiGHT) has developed specific criteria for the interpretation of mismatch repair (MMR) gene variants. Here, we performed a systematic investigation of 24 MLH1 and MSH2 variants. The assessments were done by analyzing population frequency, segregation, tumor molecular characteristics, RNA effects, protein expression levels, and in vitro MMR activity. Classifications were confirmed for 15 variants and changed for three, and for the first time determined for six novel variants. Overall, based on our results, we propose the introduction of some refinements to the InSiGHT classification rules. The proposed changes have the advantage of homogenizing the InSIGHT interpretation criteria with those set out by the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium for the BRCA1/BRCA2 genes. We also observed that the addition of only few clinical data was sufficient to obtain a more stable classification for variants considered as "likely pathogenic" or "likely nonpathogenic." This shows the importance of obtaining as many as possible points of evidence for variant interpretation, especially from the clinical setting.
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Affiliation(s)
- Rossella Tricarico
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.,Cancer Epigenetics and Cancer Biology Programs, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Mariann Kasela
- Department of Biosciences, Division of Genetics, University of Helsinki, Helsinki, Finland
| | | | - Bryony A Thompson
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia
| | - Aurélie Drouet
- Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Lucia Staderini
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.,Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Greta Gorelli
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy
| | - Francesca Crucianelli
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy
| | - Valentina Ingrosso
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy
| | - Jukka Kantelinen
- Department of Biosciences, Division of Genetics, University of Helsinki, Helsinki, Finland
| | - Laura Papi
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy
| | - Maria De Angioletti
- Cancer Genetics and Gene Transfer - Core Research Laboratory, Istituto Toscano Tumori, Florence, Italy.,ICCOM-CNR, Sesto Fiorentino, Italy
| | - Margherita Berardi
- Cancer Genetics and Gene Transfer - Core Research Laboratory, Istituto Toscano Tumori, Florence, Italy
| | - Pascaline Gaildrat
- Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Omar Soukarieh
- Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Daniela Turchetti
- Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Alexandra Martins
- Inserm-U1079-IRIB, Normandy Centre for Genomic and Personalized Medicine, University of Rouen, Rouen, France
| | - Amanda B Spurdle
- Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Minna Nyström
- Department of Biosciences, Division of Genetics, University of Helsinki, Helsinki, Finland
| | - Maurizio Genuardi
- Department of Biomedical, Experimental and Clinical Sciences, Medical Genetics Unit, University of Florence, Florence, Italy.,Institute of Genomic Medicine, A. Gemelli School of Medicine, Medical Genetics Unit, Catholic University of the Sacred Heart, Rome, Italy
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16
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Hamadou WS, Bourdon V, Gaildrat P, Besbes S, Fabre A, Youssef YB, Regaieg H, Laatiri MA, Eisinger F, Mari V, Gesta P, Dreyfus H, Bonadona V, Dugast C, Zattara H, Faivre L, Jemni SY, Noguchi T, Khélif A, Sobol H, Soua Z. Mutational analysis of JAK2, CBL, RUNX1, and NPM1 genes in familial aggregation of hematological malignancies. Ann Hematol 2016; 95:1043-50. [DOI: 10.1007/s00277-016-2678-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 04/16/2016] [Indexed: 02/07/2023]
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17
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Puppo F, Dionnet E, Gaillard MC, Gaildrat P, Castro C, Vovan C, Bertaux K, Bernard R, Attarian S, Goto K, Nishino I, Hayashi Y, Magdinier F, Krahn M, Helmbacher F, Bartoli M, Lévy N. Identification of variants in the 4q35 gene FAT1 in patients with a facioscapulohumeral dystrophy-like phenotype. Hum Mutat 2015; 36:443-53. [PMID: 25615407 DOI: 10.1002/humu.22760] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 01/11/2015] [Indexed: 01/05/2023]
Abstract
Facioscapulohumeralmuscular dystrophy (FSHD) is linked to copy-number reduction (N < 10) of the 4q D4Z4 subtelomeric array, in association with DUX4-permissive haplotypes. This main form is indicated as FSHD1. FSHD-like phenotypes may also appear in the absence of D4Z4 copy-number reduction. Variants of the SMCHD1 gene have been reported to associate with D4Z4 hypomethylation in DUX4-compatible haplotypes, thus defining FSHD2. Recently, mice carrying a muscle-specific knock-out of the protocadherin gene Fat1 or its constitutive hypomorphic allele were shown to develop muscular and nonmuscular defects mimicking human FSHD. Here, we report FAT1 variants in a group of patients presenting with neuromuscular symptoms reminiscent of FSHD. The patients do not carry D4Z4 copy-number reduction, 4q hypomethylation, or SMCHD1 variants. However, abnormal splicing of the FAT1 transcript is predicted for all identified variants. To determine their pathogenicity, we elaborated a minigene approach coupled to an antisense oligonucleotide (AON) assay. In vitro, four out of five selected variants induced partial or complete alteration of splicing by creating new splice sites or modifying splicing regulators. AONs confirmed these effects. Altered transcripts may affect FAT1 protein interactions or stability. Altogether, our data suggest that defective FAT1 is associated with an FSHD-like phenotype.
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Affiliation(s)
- Francesca Puppo
- Aix Marseille Université, GMGF, Marseille, France; Inserm, UMR, S 910, Marseille, France
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18
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Grandval P, Fabre AJ, Gaildrat P, Baert-Desurmont S, Blayau M, Buisine MP, Coulet F, Maugard C, Pinson S, Remenieras A, Rouleau E, Uhrhammer N, Beroud C, Olschwang S. Genomic variations integrated database for MUTYH-associated adenomatous polyposis. J Med Genet 2014; 52:25-7. [PMID: 25368107 DOI: 10.1136/jmedgenet-2014-102752] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Philippe Grandval
- INSERM UMR_S910, Marseille, France Departments of medical Genetics and Gastroenterology, AP-HM La Timone, Marseille, France
| | - Aurélie J Fabre
- INSERM UMR_S910, Marseille, France Departments of medical Genetics and Gastroenterology, AP-HM La Timone, Marseille, France
| | | | | | - Martine Blayau
- Medical Genetics Department, CHU Pontchaillou, Rennes, France
| | | | - Florence Coulet
- Medical Genetics Department, AP-HP Pitié-Salpétrière, Paris, France
| | | | - Stéphane Pinson
- Medical Genetics Department, Edouard Herriot Hospital, Lyon, France
| | - Audrey Remenieras
- Medical Genetics Department, Institut Paoli-Calmettes, Marseille, France
| | | | - Nancy Uhrhammer
- Medical Genetics Department, Centre Jean Perrin, Clermont-Ferrand, France
| | - Christophe Beroud
- INSERM UMR_S910, Marseille, France Departments of medical Genetics and Gastroenterology, AP-HM La Timone, Marseille, France Aix-Marseille Université, Marseille, France
| | - Sylviane Olschwang
- INSERM UMR_S910, Marseille, France Departments of medical Genetics and Gastroenterology, AP-HM La Timone, Marseille, France Gastroenterology Department, European Hospital, Marseille, France Oncology Department, Clairval Hospital, Marseille, France The first two authors contributed equally to this work
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19
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Di Giacomo D, Gaildrat P, Abuli A, Abdat J, Frébourg T, Tosi M, Martins A. Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements. Hum Mutat 2013; 34:1547-57. [PMID: 23983145 DOI: 10.1002/humu.22428] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Accepted: 08/14/2013] [Indexed: 11/06/2022]
Abstract
Exonic variants can alter pre-mRNA splicing either by changing splice sites or by modifying splicing regulatory elements. Often these effects are difficult to predict and are only detected by performing RNA analyses. Here, we analyzed, in a minigene assay, 26 variants identified in the exon 7 of BRCA2, a cancer predisposition gene. Our results revealed eight new exon skipping mutations in this exon: one directly altering the 5' splice site and seven affecting potential regulatory elements. This brings the number of splicing regulatory mutations detected in BRCA2 exon 7 to a total of 11, a remarkably high number considering the total number of variants reported in this exon (n = 36), all tested in our minigene assay. We then exploited this large set of splicing data to test the predictive value of splicing regulator hexamers' scores recently established by Ke et al. (). Comparisons of hexamer-based predictions with our experimental data revealed high sensitivity in detecting variants that increased exon skipping, an important feature for prescreening variants before RNA analysis. In conclusion, hexamer scores represent a promising tool for predicting the biological consequences of exonic variants and may have important applications for the interpretation of variants detected by high-throughput sequencing.
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Affiliation(s)
- Daniela Di Giacomo
- Inserm U1079, University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy
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20
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Grandval P, Fabre AJ, Gaildrat P, Baert-Desurmont S, Buisine MP, Ferrari A, Wang Q, Béroud C, Olschwang S. UMD-MLH1/MSH2/MSH6 databases: description and analysis of genetic variations in French Lynch syndrome families. Database (Oxford) 2013; 2013:bat036. [PMID: 23729658 PMCID: PMC3668602 DOI: 10.1093/database/bat036] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Lynch syndrome is an autosomal dominant disease caused by germ line heterozygous mutations mainly involving the MSH2, MLH1 and MSH6 genes that belong to the DNA MisMatch Repair (MMR) genes family. The French network counting the 16 licensed laboratories involved in Lynch syndrome genetic testing developed three locus-specific databases with the UMD® software (www.umd.be/MLH1/, www.umd.be/MSH2/ and www.umd.be/MSH6/) that presently contain a total of 7047 sequence variations including 707 distinct variations of a priori unknown functional significance (VUS) that were identified through complete mutation screening or targeted predictive testing. Mutation carriers are at high risk for developing early-onset colorectal and endometrial adenocarcinomas. Consensus clinical guidelines have been proposed, allowing the efficient detection of curable lesions. The major challenge of genetic testing is to reliably classify the genomic variations in those patients who seek genetic counseling. Combining the interactive tools of the software, the relevant published data and mainly original information produced by the French MisMatch Repair network, the UMD-MLH1/MSH2/MSH6 databases provide interpretation data for the 707 VUS that were classified according to the IARC 5-Class system. These public databases are regularly updated to improve the classification of all registered VUS, exploring their role in cancer pre-disposition based on structural and functional approaches.
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Gaildrat P, Krieger S, Di Giacomo D, Abdat J, Révillion F, Caputo S, Vaur D, Jamard E, Bohers E, Ledemeney D, Peyrat JP, Houdayer C, Rouleau E, Lidereau R, Frébourg T, Hardouin A, Tosi M, Martins A. Multiple sequence variants of BRCA2 exon 7 alter splicing regulation. J Med Genet 2012; 49:609-17. [PMID: 22962691 DOI: 10.1136/jmedgenet-2012-100965] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND Exonic variants of unknown biological significance (VUS) identified in patients can affect mRNA splicing, either by changing 5' or 3' splice sites or by modifying splicing regulatory elements. Bioinformatic predictions of these elements are still inaccurate and only few such elements have been functionally mapped in BRCA2. We studied the effect on splicing of eight exon 7 VUS, selected from the French UMD-BRCA2 mutation database. METHODS We performed splicing minigene assays and analyses of patient RNA. We also developed a pyrosequencing-based quantitative assay, to measure, in patient RNA, the relative contribution of each allele to the production of exon 7-containing transcripts. Moreover, an exonic splicing enhancer (ESE)-dependent minigene assay was used to evaluate the splicing regulatory properties of wild-type and mutant segments. RESULTS Six out of the eight variants induced splicing defects. In the minigene assay, c.517G>T and c.631G>A altered the natural splice sites, c.572A>G created a new 5' splice site, and c.520C>T, c.587G>A and c.617C>G induced exon 7 skipping (66%, 25% and 46%, respectively). Pyrosequencing of patient RNA confirmed these levels of exon skipping for c.520C>T and c.617C>G. Results from the ESE-dependent minigene assay indicated that c.520C>T and c.587G>A disturb splicing regulatory elements. CONCLUSIONS BRCA2 exon 7 splicing is regulated by multiple exonic elements and is sensitive to disease-associated sequence variations. Measurements of allelic imbalance in patient-derived RNA and/or quantitative analyses using minigene assays provide valuable estimates of the extent of partial splicing defects. Assessment of pathogenicity of variants with partial splicing effect awaits additional evidence and especially the completion of segregation analyses.
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22
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Houdayer C, Caux-Moncoutier V, Krieger S, Barrois M, Bonnet F, Bourdon V, Bronner M, Buisson M, Coulet F, Gaildrat P, Lefol C, Léone M, Mazoyer S, Muller D, Remenieras A, Révillion F, Rouleau E, Sokolowska J, Vert JP, Lidereau R, Soubrier F, Sobol H, Sevenet N, Bressac-de Paillerets B, Hardouin A, Tosi M, Sinilnikova OM, Stoppa-Lyonnet D. Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants. Hum Mutat 2012; 33:1228-38. [DOI: 10.1002/humu.22101] [Citation(s) in RCA: 191] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2011] [Revised: 03/15/2012] [Accepted: 03/30/2012] [Indexed: 01/05/2023]
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23
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Théry JC, Krieger S, Gaildrat P, Révillion F, Buisine MP, Killian A, Duponchel C, Rousselin A, Vaur D, Peyrat JP, Berthet P, Frébourg T, Martins A, Hardouin A, Tosi M. Contribution of bioinformatics predictions and functional splicing assays to the interpretation of unclassified variants of the BRCA genes. Eur J Hum Genet 2011; 19:1052-8. [PMID: 21673748 DOI: 10.1038/ejhg.2011.100] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
A large fraction of sequence variants of unknown significance (VUS) of the breast and ovarian cancer susceptibility genes BRCA1 and BRCA2 may induce splicing defects. We analyzed 53 VUSs of BRCA1 or BRCA2, detected in consecutive molecular screenings, by using five splicing prediction programs, and we classified them into two groups according to the strength of the predictions. In parallel, we tested them by using functional splicing assays. A total of 10 VUSs were predicted by two or more programs to induce a significant reduction of splice site strength or activation of cryptic splice sites or generation of new splice sites. Minigene-based splicing assays confirmed four of these predictions. Five additional VUSs, all at internal exon positions, were not predicted to induce alterations of splice sites, but revealed variable levels of exon skipping, most likely induced by the modification of exonic splicing regulatory elements. We provide new data in favor of the pathogenic nature of the variants BRCA1 c.212+3A>G and BRCA1 c.5194-12G>A, which induced aberrant out-of-frame mRNA forms. Moreover, the novel variant BRCA2 c.7977-7C>G induced in frame inclusion of 6 nt from the 3' end of intron 17. The novel variants BRCA2 c.520C>T and BRCA2 c.7992T>A induced incomplete skipping of exons 7 and 18, respectively. This work highlights the contribution of splicing minigene assays to the assessment of pathogenicity, not only when patient RNA is not available, but also as a tool to improve the accuracy of bioinformatics predictions.
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Affiliation(s)
- Jean Christophe Théry
- Inserm U614, IFRMP, Faculty of Medicine and Department of Genetics, University Hospital, Institute for Biomedical Research and Innovation, Rouen, France
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24
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Lagarde A, Rouleau E, Ferrari A, Noguchi T, Qiu J, Briaux A, Bourdon V, Rémy V, Gaildrat P, Adélaïde J, Birnbaum D, Lidereau R, Sobol H, Olschwang S. Germline APC mutation spectrum derived from 863 genomic variations identified through a 15-year medical genetics service to French patients with FAP. J Med Genet 2010; 47:721-2. [PMID: 20685668 DOI: 10.1136/jmg.2010.078964] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Heterozygous APC germline alteration is responsible for familial adenomatous polyposis, a colon cancer predisposition with almost complete penetrance. Point mutations generally lead to truncated proteins or no protein at all. They mainly involve exon 3 to codon 1700 (exon 15). The work presented here delineates precisely the APC mutation spectrum from 15 years of systematic molecular screening which identified 863 independent alterations in the French population.
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Affiliation(s)
- Arnaud Lagarde
- Centre de Recherche en Cancérologie de Marseille INSERM UMR891, Marseille, France
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25
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Gaildrat P, Krieger S, Thery JC, Killian A, Rousselin A, Berthet P, Frebourg T, Hardouin A, Martins A, Tosi M. The BRCA1 c.5434C->G (p.Pro1812Ala) variant induces a deleterious exon 23 skipping by affecting exonic splicing regulatory elements. J Med Genet 2010; 47:398-403. [DOI: 10.1136/jmg.2009.074047] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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26
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Pavlicek J, Sauzet S, Besseau L, Coon SL, Weller JL, Boeuf G, Gaildrat P, Omelchenko MV, Koonin EV, Falcón J, Klein DC. Evolution of AANAT: expansion of the gene family in the cephalochordate amphioxus. BMC Evol Biol 2010; 10:154. [PMID: 20500864 PMCID: PMC2897805 DOI: 10.1186/1471-2148-10-154] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2009] [Accepted: 05/25/2010] [Indexed: 11/16/2022] Open
Abstract
Background The arylalkylamine N-acetyltransferase (AANAT) family is divided into structurally distinct vertebrate and non-vertebrate groups. Expression of vertebrate AANATs is limited primarily to the pineal gland and retina, where it plays a role in controlling the circadian rhythm in melatonin synthesis. Based on the role melatonin plays in biological timing, AANAT has been given the moniker "the Timezyme". Non-vertebrate AANATs, which occur in fungi and protists, are thought to play a role in detoxification and are not known to be associated with a specific tissue. Results We have found that the amphioxus genome contains seven AANATs, all having non-vertebrate type features. This and the absence of AANATs from the genomes of Hemichordates and Urochordates support the view that a major transition in the evolution of the AANATs may have occurred at the onset of vertebrate evolution. Analysis of the expression pattern of the two most structurally divergent AANATs in Branchiostoma lanceolatum (bl) revealed that they are expressed early in development and also in the adult at low levels throughout the body, possibly associated with the neural tube. Expression is clearly not exclusively associated with the proposed analogs of the pineal gland and retina. blAANAT activity is influenced by environmental lighting, but light/dark differences do not persist under constant light or constant dark conditions, indicating they are not circadian in nature. bfAANATα and bfAANATδ' have unusually alkaline (> 9.0) optimal pH, more than two pH units higher than that of vertebrate AANATs. Conclusions The substrate selectivity profiles of bfAANATα and δ' are relatively broad, including alkylamines, arylalkylamines and diamines, in contrast to vertebrate forms, which selectively acetylate serotonin and other arylalkylamines. Based on these features, it appears that amphioxus AANATs could play several roles, including detoxification and biogenic amine inactivation. The presence of seven AANATs in amphioxus genome supports the view that arylalkylamine and polyamine acetylation is important to the biology of this organism and that these genes evolved in response to specific pressures related to requirements for amine acetylation.
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Affiliation(s)
- Jiri Pavlicek
- Section on Neuroendocrinology, Program in Developmental Endocrinology and Genetics, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
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27
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Klein DC, Bailey MJ, Carter DA, Kim JS, Shi Q, Ho AK, Chik CL, Gaildrat P, Morin F, Ganguly S, Rath MF, Møller M, Sugden D, Rangel ZG, Munson PJ, Weller JL, Coon SL. Pineal function: impact of microarray analysis. Mol Cell Endocrinol 2010; 314:170-83. [PMID: 19622385 PMCID: PMC3138125 DOI: 10.1016/j.mce.2009.07.010] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2009] [Accepted: 07/14/2009] [Indexed: 02/06/2023]
Abstract
Microarray analysis has provided a new understanding of pineal function by identifying genes that are highly expressed in this tissue relative to other tissues and also by identifying over 600 genes that are expressed on a 24-h schedule. This effort has highlighted surprising similarity to the retina and has provided reason to explore new avenues of study including intracellular signaling, signal transduction, transcriptional cascades, thyroid/retinoic acid hormone signaling, metal biology, RNA splicing, and the role the pineal gland plays in the immune/inflammation response. The new foundation that microarray analysis has provided will broadly support future research on pineal function.
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Affiliation(s)
- David C Klein
- Section on Neuroendocrinology, Program on Developmental Endocrinology and Genetics, NICHD, National Institutes of Health, Bethesda, MD 20892, USA.
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28
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Gaildrat P, Killian A, Martins A, Tournier I, Frébourg T, Tosi M. Use of splicing reporter minigene assay to evaluate the effect on splicing of unclassified genetic variants. Methods Mol Biol 2010; 653:249-257. [PMID: 20721748 DOI: 10.1007/978-1-60761-759-4_15] [Citation(s) in RCA: 114] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
The interpretation of the numerous sequence variants of unknown biological and clinical significance (UV for "unclassified variant") found in genetic screenings represents a major challenge in the molecular diagnosis of genetic disease, including cancer susceptibility. A fraction of UVs may be deleterious because they affect mRNA splicing. Here, we describe a functional splicing assay based on a minigene construct that assesses the impact of sequence variants on splicing. A genomic segment encompassing the variant sequence of interest along with flanking intronic sequences is PCR-amplified from patient genomic DNA and is cloned into a minigene vector. After transient transfection into cultured cells, the splicing patterns of the transcripts generated from the wild-type and from the variant constructs are compared by reverse transcription-PCR analysis and sequencing. This method represents a complementary approach to reverse transcription-PCR analyses of patient RNA, for the identification of pathogenic splicing mutations.
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Affiliation(s)
- Pascaline Gaildrat
- Faculty of Medicine Department of Genetics and Institute for Biomedical Research, Rouen University Hospital, Inserm U614, IFRMP, University of Rouen, Northwest Canceropole, Rouen, France
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29
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Bailey MJ, Coon SL, Carter DA, Humphries A, Kim JS, Shi Q, Gaildrat P, Morin F, Ganguly S, Hogenesch JB, Weller JL, Rath MF, Møller M, Baler R, Sugden D, Rangel ZG, Munson PJ, Klein DC. Night/day changes in pineal expression of >600 genes: central role of adrenergic/cAMP signaling. J Biol Chem 2009; 284:7606-22. [PMID: 19103603 PMCID: PMC2658055 DOI: 10.1074/jbc.m808394200] [Citation(s) in RCA: 117] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2008] [Revised: 12/12/2008] [Indexed: 11/06/2022] Open
Abstract
The pineal gland plays an essential role in vertebrate chronobiology by converting time into a hormonal signal, melatonin, which is always elevated at night. Here we have analyzed the rodent pineal transcriptome using Affymetrix GeneChip(R) technology to obtain a more complete description of pineal cell biology. The effort revealed that 604 genes (1,268 probe sets) with Entrez Gene identifiers are differentially expressed greater than 2-fold between midnight and mid-day (false discovery rate <0.20). Expression is greater at night in approximately 70%. These findings were supported by the results of radiochemical in situ hybridization histology and quantitative real time-PCR studies. We also found that the regulatory mechanism controlling the night/day changes in the expression of most genes involves norepinephrine-cyclic AMP signaling. Comparison of the pineal gene expression profile with that in other tissues identified 334 genes (496 probe sets) that are expressed greater than 8-fold higher in the pineal gland relative to other tissues. Of these genes, 17% are expressed at similar levels in the retina, consistent with a common evolutionary origin of these tissues. Functional categorization of the highly expressed and/or night/day differentially expressed genes identified clusters that are markers of specialized functions, including the immune/inflammation response, melatonin synthesis, photodetection, thyroid hormone signaling, and diverse aspects of cellular signaling and cell biology. These studies produce a paradigm shift in our understanding of the 24-h dynamics of the pineal gland from one focused on melatonin synthesis to one including many cellular processes.
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Affiliation(s)
- Michael J Bailey
- Section on Neuroendocrinology, Program on Developmental Endocrinology and Genetics, NICHD, National Institutes of Health, Bethesda, Maryland 20892, USA
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30
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Rath MF, Bailey MJ, Kim JS, Ho AK, Gaildrat P, Coon SL, Møller M, Klein DC. Developmental and diurnal dynamics of Pax4 expression in the mammalian pineal gland: nocturnal down-regulation is mediated by adrenergic-cyclic adenosine 3',5'-monophosphate signaling. Endocrinology 2009; 150:803-11. [PMID: 18818287 PMCID: PMC2646524 DOI: 10.1210/en.2008-0882] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Pax4 is a homeobox gene that is known to be involved in embryonic development of the endocrine pancreas. In this tissue, Pax4 counters the effects of the related protein, Pax6. Pax6 is essential for development of the pineal gland. In this study we report that Pax4 is strongly expressed in the pineal gland and retina of the rat. Pineal Pax4 transcripts are low in the fetus and increase postnatally; Pax6 exhibits an inverse pattern of expression, being more strongly expressed in the fetus. In the adult the abundance of Pax4 mRNA exhibits a diurnal rhythm in the pineal gland with maximal levels occurring late during the light period. Sympathetic denervation of the pineal gland by superior cervical ganglionectomy prevents the nocturnal decrease in pineal Pax4 mRNA. At night the pineal gland is adrenergically stimulated by release of norepinephrine from the sympathetic innervation; here, we found that treatment with adrenergic agonists suppresses pineal Pax4 expression in vivo and in vitro. This suppression appears to be mediated by cAMP, a second messenger of norepinephrine in the pineal gland, based on the observation that treatment with a cAMP mimic reduces pineal Pax4 mRNA levels. These findings suggest that the nocturnal decrease in pineal Pax4 mRNA is controlled by the sympathetic neural pathway that controls pineal function acting via an adrenergic-cAMP mechanism. The daily changes in Pax4 expression may influence gene expression in the pineal gland.
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Affiliation(s)
- Martin F Rath
- Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
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Ganguly S, Grodzki C, Sugden D, Møller M, Odom S, Gaildrat P, Gery I, Siraganian RP, Rivera J, Klein DC. Neural adrenergic/cyclic AMP regulation of the immunoglobulin E receptor alpha-subunit expression in the mammalian pinealocyte: a neuroendocrine/immune response link? J Biol Chem 2007; 282:32758-64. [PMID: 17728245 DOI: 10.1074/jbc.m705950200] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The high affinity immunoglobulin E receptor (FcepsilonRI) complex is dedicated to immunoglobulin E-mediated allergic responses. Expression of the FcepsilonRI receptor is thought to be relatively stable and limited to mast cells, basophils, eosinophils, monocytes, Langerhans cells, platelets, and neutrophils. We now report that the FcepsilonRIalpha and FcepsilonRIgamma polypeptides are expressed in the pinealocyte, the melatonin-secreting cell of the pineal gland. Moreover, Fcer1a mRNA levels increased approximately 100-fold at night to levels that were higher than in other tissues examined. Pineal FcepsilonRIalpha protein also increased markedly at night from nearly undetectable daytime levels. Our studies indicate that pineal Fcer1a mRNA levels are controlled by a well described neural pathway that controls pineal function. This pathway includes the master circadian oscillator in the suprachiasmatic nucleus and passes through central and peripheral structures. The circadian expression of FcepsilonRIalpha in the pineal gland is driven by this neural circuit via an adrenergic/cyclic AMP mechanism. Pineal FcepsilonRIalpha and FcepsilonRIgamma may represent a previously unrealized molecular link between the neuroendocrine and immune systems.
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Affiliation(s)
- Surajit Ganguly
- Section on Neuroendocrinology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
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Kim JS, Bailey MJ, Ho AK, Møller M, Gaildrat P, Klein DC. Daily rhythm in pineal phosphodiesterase (PDE) activity reflects adrenergic/3',5'-cyclic adenosine 5'-monophosphate induction of the PDE4B2 variant. Endocrinology 2007; 148:1475-85. [PMID: 17204557 DOI: 10.1210/en.2006-1420] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The pineal gland is a photoneuroendocrine transducer that influences circadian and circannual dynamics of many physiological functions via the daily rhythm in melatonin production and release. Melatonin synthesis is stimulated at night by a photoneural system through which pineal adenylate cyclase is adrenergically activated, resulting in an elevation of cAMP. cAMP enhances melatonin synthesis through actions on several elements of the biosynthetic pathway. cAMP degradation also appears to increase at night due to an increase in phosphodiesterase (PDE) activity, which peaks in the middle of the night. Here, it was found that this nocturnal increase in PDE activity results from an increase in the abundance of PDE4B2 mRNA (approximately 5-fold; doubling time, approximately 2 h). The resulting level is notably higher (>6-fold) than in all other tissues examined, none of which exhibit a robust daily rhythm. The increase in PDE4B2 mRNA is followed by increases in PDE4B2 protein and PDE4 enzyme activity. Results from in vivo and in vitro studies indicate that these changes are due to activation of adrenergic receptors and a cAMP-dependent protein kinase A mechanism. Inhibition of PDE4 activity during the late phase of adrenergic stimulation enhances cAMP and melatonin levels. The evidence that PDE4B2 plays a negative feedback role in adrenergic/cAMP signaling in the pineal gland provides the first proof that cAMP control of PDE4B2 is a physiologically relevant control mechanism in cAMP signaling.
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Affiliation(s)
- Jong-So Kim
- Section on Neuroendocrinology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, USA
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Kim J, Ho AK, Møller M, Gaildrat P, Klein DC. Down‐regulation of the Pineal Response to Adrenergic Stimulation Mediated by cAMP Induction of Phosphodiesterase 4B2. FASEB J 2006. [DOI: 10.1096/fasebj.20.4.a543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Anthony K. Ho
- Physiology and MedicineUniversity of Alberta726 Medical Sciences Bldg.EdmontonAlbertaT6G 2H7Canada
| | - Morten Møller
- Medical AnatomyUniversity of CopenhagenBlegdamsvej 3CopenhagenDK‐2200Denmark
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Gaildrat P, Møller M, Mukda S, Humphries A, Carter DA, Ganapathy V, Klein DC. A novel pineal-specific product of the oligopeptide transporter PepT1 gene: circadian expression mediated by cAMP activation of an intronic promoter. J Biol Chem 2005; 280:16851-60. [PMID: 15684415 DOI: 10.1074/jbc.m414587200] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The oligopeptide transporter 1, PepT1, is a member of the Slc15 family of 12 membrane-spanning domain transporters; PepT1 has proton/peptide cotransport activity and is selectively expressed in intestinal epithelial cells, where it is responsible for the nutritional absorption of di- and tri-peptides. Here, a novel PepT1 gene product has been identified in the rat pineal gland, termed pgPepT1. It encodes a 150-amino acid protein encompassing the C-terminal 3 membrane-spanning domains of intestinal PepT1 protein, with 3 additional N-terminal residues. Expression of pgPepT1 appears to be restricted to the pineal gland and follows a marked circadian pattern with >100-fold higher levels of mRNA occurring at night; this is accompanied by an accumulation of membrane-associated pgPepT1 protein ( approximately 16 kDa). The daily rhythm in pgPepT1 mRNA is regulated by the well described neural pathway that controls pineal melatonin production. This includes the retina, the circadian clock in the suprachiasmatic nucleus, central structures, and projections from the superior cervical ganglia; activation of this pathway results in the release of norepinephrine. Here it was found that pgPepT1 expression is mediated by a norepinephrine-->cyclic AMP mechanism that activates an alternative promoter located in intron 20 of the gene. pgPepT1 protein was found to have transporter-modulator activity; it could contribute to circadian changes in pineal function through this mechanism.
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MESH Headings
- Amino Acid Sequence
- Animals
- Base Sequence
- Blotting, Northern
- Blotting, Western
- COS Cells
- Cell Membrane/metabolism
- Cells, Cultured
- Circadian Rhythm
- Cloning, Molecular
- DNA, Complementary/metabolism
- Epithelial Cells/metabolism
- Female
- In Situ Hybridization
- Intestinal Mucosa/metabolism
- Introns
- Luciferases/metabolism
- Melatonin/metabolism
- Molecular Sequence Data
- Norepinephrine/metabolism
- Oligonucleotide Array Sequence Analysis
- Peptide Transporter 1
- Peptides/chemistry
- Pineal Gland/metabolism
- Plasmids/metabolism
- Promoter Regions, Genetic
- Protein Structure, Tertiary
- Protein Transport
- RNA, Messenger/metabolism
- Rats
- Rats, Sprague-Dawley
- Rats, Wistar
- Symporters/metabolism
- Symporters/physiology
- Time Factors
- Tissue Distribution
- Transfection
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Affiliation(s)
- Pascaline Gaildrat
- Section on Neuroendocrinology, Laboratory of Developmental Neurobiology, NICHD, National Institutes of Health, Bethesda, Maryland 20892-4480, USA
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Falcón J, Besseau L, Fazzari D, Attia J, Gaildrat P, Beauchaud M, Boeuf G. Melatonin modulates secretion of growth hormone and prolactin by trout pituitary glands and cells in culture. Endocrinology 2003; 144:4648-58. [PMID: 12960030 DOI: 10.1210/en.2003-0707] [Citation(s) in RCA: 81] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
In Teleost fish, development, growth, and reproduction are influenced by the daily and seasonal variations of photoperiod and temperature. Early in vivo studies indicated the pineal gland mediates the effects of these external factors, most probably through the rhythmic production of melatonin. The present investigation was aimed at determining whether melatonin acts directly on the pituitary to control GH and prolactin (PRL) secretion in rainbow trout. We show that 2-[125I]-iodomelatonin, a melatonin analog, binds selectively to membrane preparations and tissue sections from trout pituitaries. The affinity was within the range of that found for the binding to brain microsomal preparations, but the number of binding sites was 20-fold less than in the brain. In culture, melatonin inhibited pituitary cAMP accumulation induced by forskolin, the adenyl cyclase stimulator. Forskolin also induced an increase in GH release, which was reduced in the presence of picomolar concentrations of melatonin. At higher concentrations, the effects of melatonin became stimulatory. In the absence of forskolin, melatonin induced a dose-dependent increase in GH release, and a dose-dependent decrease in PRL release. Melatonin effects were abolished upon addition of luzindole, a melatonin antagonist. Our results provide the first evidence that melatonin modulates GH and PRL secretion in Teleost fish pituitary. Melatonin effects on GH have never been reported in any vertebrate before. The effects result from a direct action of melatonin on pituitary cells. The complexity of the observed responses suggests several types of melatonin receptors might be involved.
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Affiliation(s)
- J Falcón
- Laboratoire Arago, Unité Mixte de Recherche 7628, Centre National de la Recherche Scientifique/Université P et M Curie, BP 44, F-66651 Banyuls sur Mer, France.
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Klein DC, Ganguly S, Coon SL, Shi Q, Gaildrat P, Morin F, Weller JL, Obsil T, Hickman A, Dyda F. 14-3-3 proteins in pineal photoneuroendocrine transduction: how many roles? J Neuroendocrinol 2003; 15:370-7. [PMID: 12622836 DOI: 10.1046/j.1365-2826.2003.01000.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Recent studies suggest that a common theme links the diverse elements of pineal photoneuroendocrine transduction--regulation via binding to 14-3-3 proteins. The elements include photoreception, neurotransmission, signal transduction and the synthesis of melatonin from tryptophan. We review general aspects of 14-3-3 proteins and their biological function as binding partners, and also focus on their roles in pineal photoneuroendocrine transduction.
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Affiliation(s)
- D C Klein
- Section on Neuroendocrinology, Laboratory of Developmental Neurobiology, National Institute of Child Health and Human Development/NIH 49/6A82, Bethesda, MD 20892-4480, USA.
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Abstract
Melatonin, a neuroendocrine transducer of photoperiod, influences a number of physiological functions and behaviors through specific seven transmembrane domains receptors. We report here the first full-length cloning and functional characterization of a melatonin receptor (P2.6) in a fish, the pike (Teleost). P2.6 encodes a protein that is approximately 80% identical to melatonin receptors previously isolated partially in non-mammals and classified as members of the Mel(1b) subtype; but, it shares only 61% identity with the full-length human Mel(1b) melatonin receptor (hMT2). Expression of P2.6 results in ligand binding characteristics similar to that described for endogenous melatonin receptors. Selective antagonists of the hMT2 (4-phenyl-2-propionamidotetraline and luzindole) were poor competitors of 2-[125I]iodomelatonin binding to the recombinant receptor. In Chinese hamster ovary cells expressing both the cystic fibrosis transmembrane conductance regulator chloride channel and P2.6 receptor, melatonin counteracted the forskolin induced activation of the channel. The results are best explained by a selective inhibition of the adenylyl cyclase. By reverse transcription-polymerase chain reaction, P2.6 mRNA appeared expressed in the optic tectum and, to lesser extent, in the retina and pituitary. In conclusion, these results, together with those of a phylogenetic analysis, suggest that P2.6 might belong to a distinct subtype group within the vertebrate melatonin receptor family.
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MESH Headings
- Amino Acid Sequence
- Animals
- Binding, Competitive
- Blotting, Northern
- Brain/physiology
- CHO Cells
- Cloning, Molecular
- Colforsin/pharmacology
- Cricetinae
- Cystic Fibrosis Transmembrane Conductance Regulator/drug effects
- Cystic Fibrosis Transmembrane Conductance Regulator/genetics
- Cystic Fibrosis Transmembrane Conductance Regulator/metabolism
- Melatonin/analogs & derivatives
- Melatonin/metabolism
- Molecular Sequence Data
- Phylogeny
- RNA, Messenger/metabolism
- Receptors, Cell Surface/antagonists & inhibitors
- Receptors, Cell Surface/genetics
- Receptors, Cell Surface/metabolism
- Receptors, Cytoplasmic and Nuclear/antagonists & inhibitors
- Receptors, Cytoplasmic and Nuclear/genetics
- Receptors, Cytoplasmic and Nuclear/metabolism
- Receptors, Melatonin
- Recombinant Proteins/genetics
- Recombinant Proteins/metabolism
- Sequence Homology, Amino Acid
- Superior Colliculi/physiology
- Tetrahydronaphthalenes/metabolism
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Affiliation(s)
- Pascaline Gaildrat
- Département des Neurosciences, CNRS UMR 6558, Université de Poitiers, France
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38
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Abstract
Melatonin has for a long time been involved in the photoperiodic control of fish physiology (growth, reproduction) and behavior (locomotor activity); but its mechanisms of action are not understood. We show here that 2-[(125)I]iodomelatonin binds specifically to membrane preparations from Pike (Esox lucius, L.) pituitaries (K(D): 556 pM; B(max): 2.8 fmol/mg proteins). Radioautography indicated that the binding was restricted to a part of the pituitary only. Using polymerase chain reaction from pike genomic DNA, we subcloned two partial cDNAs encoding the P1.4 (Mel(1a)) and the P2.6 (Mel(1b)) melatonin receptor subtypes. The two corresponding transcripts were expressed in the pituitary as revealed by RT-PCR assay and Southern blot hybridization. In culture, melatonin inhibited in a time- and dose-dependent manner cyclic AMP levels in pituitaries cultured in the presence of forskolin, an adenylyl cyclase activator. This is the first evidence for the expression of melatonin receptors and binding sites, and for the modulation of a second messenger by melatonin in the pituitary of a nonmammalian species. We suggest that in fish, the melatonin-mediated photoperiodic control of neuroendocrine functions involves, at least, a direct effect on the pituitary.
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Affiliation(s)
- P Gaildrat
- Département des Neurosciences, Laboratoire de Neurobiologie Cellulaire, CNRS UMR 6558, Université de Poitiers, France
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39
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Gaildrat P, Falcón J. Expression of melatonin receptors and 2-[125I]iodomelatonin binding sites in the pituitary of a teleost fish. Adv Exp Med Biol 2000; 460:61-72. [PMID: 10810501 DOI: 10.1007/0-306-46814-x_8] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The mechanisms of the photoperiodic control of fish physiology (growth, reproduction) and behavior (locomotor activity) are far from being understood. We show here that 2-[125I]iodomelatonin binds specifically to membrane preparations from pike (Esox lucius, L.) pituitaries (KD: 556 pM; Bmax: 2.8 fmol/mg proteins). Radioautography indicated that the binding was restricted to a part of the pituitary only. Using polymerase chain reaction from pike genomic DNA we were able to isolate, subclone and sequence two fragments. The so-called P4 and P8 fragments displayed homology with, respectively, the Mel1a and Mel1b receptor subtypes. The P4 and P8, probes allowed detection of mRNAs corresponding to these receptors in different areas of the brain, including the pituitary. This is the first evidence that melatonin receptors and binding sites are expressed in the pituitary of a non-mammalian species. We suggest that in fish the melatonin-mediated photoperiodic control of neuroendocrine functions might involve a direct effect on the pituitary.
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Affiliation(s)
- P Gaildrat
- Département des Neurosciences, CNRS UMR 6558, Université de Poitiers, France
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40
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Abstract
The fish pineal organ, through its 24 h rhythmic release of melatonin, acts as a transducer of the photoperiod, influencing different physiological functions (e.g. reproduction, growth). We have investigated the binding of 2-[125I]iodomelatonin to whole brain membrane preparations from pikes (Esox lucius L., teleost) maintained for 24-48 h under different photoperiodic conditions. Specific binding was stable, reversible, saturable and sensitive to the presence of a GTP analogue. Scatchard analysis revealed one class of binding sites. Displacement experiments suggested the presence of two components with affinities in the femtomolar and nanomolar range of concentrations, respectively. The Bmax exhibited monophasic nycthemeral variations, with higher values at the light-to-dark transition (34.0 +/- 4.5 fmol/mg protein) and low values during the second half of night (10.0 +/- 1.0 fmol/mg protein). Under the same conditions, the KD exhibited biphasic variations: values were low during daytime and at the middle of the dark phase (approximately 100 pM); they were high at the beginning (approximately 225 pM) and at the end (approximately 330 pM) of the night. These variations were maintained under constant light (LL) and constant darkness (DD). Thus, the variations in the number and affinity of the melatonin binding sites were controlled by circadian oscillators, synchronized by the photoperiod. The nature of these oscillators is not known. Therefore, in fish, we suggest that the photodependent effects of melatonin result from the circadian variations of both its production by the pineal and its binding sites in the brain.
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Affiliation(s)
- P Gaildrat
- Departement des Neurosciences, CNRS UMR 6558, Université de Poitiers, France
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Falcón J, Gaildrat P. Variations in cyclic adenosine 3',5'-monophosphate and cyclic guanosine 3',5'-monophosphate content and efflux from the photosensitive pineal organ of the pike in culture. Pflugers Arch 1997; 433:336-42. [PMID: 9064650 DOI: 10.1007/s004240050285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The photoreceptor cells of the pike pineal organ transduce 24-h light/dark (LD) information to synchronize the clocks driving the melatonin (MEL) rhythm. In fish, the nocturnal rise in MEL synthesis is associated with an increase in cyclic adenosine 3', 5'-monophosphate (cAMP) production and with Ca2+ entry, through voltage-gated channels. Light induces inhibition of MEL synthesis and a depression of cAMP content, as well as closure of Ca2+ channels. Cyclic guanosine 3',5'-monophosphate (GMP) levels also are reduced upon acute illumination but this second messenger of phototransduction does not appear to be directly involved in the control of MEL metabolism. It is not known whether cAMP and/or cGMP are components of the clock machinery. In this study we measured cAMP and cGMP contents (static culture) and release (perifusion culture) using pike pineal organs maintained under LD or DD (constant darkness). Under LD, cAMP levels were low at noon and midnight, and high at dawn and dusk, in organs as well as in perfusates. This pattern was maintained under DD, with a major peak occurring at the beginning of subjective light, and a minor peak at the beginning of subjective darkness; only one peak during the subjective light was seen in the perfusates. Under DD, the MEL rhythm displays only one peak during the subjective night. It is suggested that increases in cAMP might not always be correlated with increases in MEL secretion. Under LD, variations in cGMP content were not statistically significant; however, in the perfusates, the levels were higher during the night than during the day. This suggests that: (1) extrusion participates in the regulation of intracellular levels of cGMP, (2) nocturnal synthesis of cGMP is higher than its catabolism, and (3) synthesis is increased during the day to compensate for the light-induced activation of catabolism. Under DD, the cGMP content and release were higher during the subjective night than during the subjective day, revealing a circadian component in the regulation of cGMP metabolism. This may provide the basis for the generation of membrane-related circadian events including variations in membrane potential, in the opening/closure of voltage-gated channels (e.g. Ca2+ channels), or in enzyme activities (adenylyl cyclase, cGMP-dependent phosphodiesterase).
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Affiliation(s)
- J Falcón
- Laboratoire de Neurobiologie et Neuroendocrinologie Cellulaires, URA CNRS 1869, Université de Poitiers, 40 avenue du Recteur Pineau, F-86022 Poitiers-Cedex, France
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