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Boštjančić LL, Francesconi C, Rutz C, Hoffbeck L, Poidevin L, Kress A, Jussila J, Makkonen J, Feldmeyer B, Bálint M, Schwenk K, Lecompte O, Theissinger K. Host-pathogen coevolution drives innate immune response to Aphanomyces astaci infection in freshwater crayfish: transcriptomic evidence. BMC Genomics 2022; 23:600. [PMID: 35989333 PMCID: PMC9394032 DOI: 10.1186/s12864-022-08571-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 04/20/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND For over a century, scientists have studied host-pathogen interactions between the crayfish plague disease agent Aphanomyces astaci and freshwater crayfish. It has been hypothesised that North American crayfish hosts are disease-resistant due to the long-lasting coevolution with the pathogen. Similarly, the increasing number of latent infections reported in the historically sensitive European crayfish hosts seems to indicate that similar coevolutionary processes are occurring between European crayfish and A. astaci. Our current understanding of these host-pathogen interactions is largely focused on the innate immunity processes in the crayfish haemolymph and cuticle, but the molecular basis of the observed disease-resistance and susceptibility remain unclear. To understand how coevolution is shaping the host's molecular response to the pathogen, susceptible native European noble crayfish and invasive disease-resistant marbled crayfish were challenged with two A. astaci strains of different origin: a haplogroup A strain (introduced to Europe at least 50 years ago, low virulence) and a haplogroup B strain (signal crayfish in lake Tahoe, USA, high virulence). Here, we compare the gene expression profiles of the hepatopancreas, an integrated organ of crayfish immunity and metabolism. RESULTS We characterised several novel innate immune-related gene groups in both crayfish species. Across all challenge groups, we detected 412 differentially expressed genes (DEGs) in the noble crayfish, and 257 DEGs in the marbled crayfish. In the noble crayfish, a clear immune response was detected to the haplogroup B strain, but not to the haplogroup A strain. In contrast, in the marbled crayfish we detected an immune response to the haplogroup A strain, but not to the haplogroup B strain. CONCLUSIONS We highlight the hepatopancreas as an important hub for the synthesis of immune molecules in the response to A. astaci. A clear distinction between the innate immune response in the marbled crayfish and the noble crayfish is the capability of the marbled crayfish to mobilise a higher variety of innate immune response effectors. With this study we outline that the type and strength of the host immune response to the pathogen is strongly influenced by the coevolutionary history of the crayfish with specific A. astaci strains.
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Affiliation(s)
- Ljudevit Luka Boštjančić
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Caterina Francesconi
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany.
| | - Christelle Rutz
- Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Lucien Hoffbeck
- Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Laetitia Poidevin
- Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Arnaud Kress
- Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Japo Jussila
- Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70210, Kuopio, Finland
| | - Jenny Makkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70210, Kuopio, Finland
- Present address: BioSafe - Biological Safety Solutions, Microkatu 1, 70210, Kuopio, Finland
| | - Barbara Feldmeyer
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Klaus Schwenk
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany
| | - Odile Lecompte
- Department of Computer Science, ICube, UMR 7357, University of Strasbourg, CNRS, Centre de Recherche en Biomédecine de Strasbourg, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany
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2
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Boštjančić LL, Francesconi C, Rutz C, Hoffbeck L, Poidevin L, Kress A, Jussila J, Makkonen J, Feldmeyer B, Bálint M, Schwenk K, Lecompte O, Theissinger K. Dataset of the de novo assembly and annotation of the marbled crayfish and the noble crayfish hepatopancreas transcriptomes. BMC Res Notes 2022; 15:281. [PMID: 35989321 PMCID: PMC9394041 DOI: 10.1186/s13104-022-06137-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/23/2022] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES Crayfish plague disease, caused by the oomycete pathogen Aphanomyces astaci represents one of the greatest risks for the biodiversity of the freshwater crayfish. This data article covers the de novo transcriptome assembly and annotation data of the noble crayfish and the marbled crayfish challenged with Ap. astaci. Following the controlled infection experiment (Francesconi et al. in Front Ecol Evol, 2021, https://doi.org/10.3389/fevo.2021.647037 ), we conducted a differential gene expression analysis described in (Boštjančić et al. in BMC Genom, 2022, https://doi.org/10.1186/s12864-022-08571-z ) DATA DESCRIPTION: In total, 25 noble crayfish and 30 marbled crayfish were selected. Hepatopancreas tissue was isolated, followed by RNA sequencing using the Illumina NovaSeq 6000 platform. Raw data was checked for quality with FastQC, adapter and quality trimming were conducted using Trimmomatic followed by de novo assembly with Trinity. Assembly quality was assessed with BUSCO, at 93.30% and 93.98% completeness for the noble crayfish and the marbled crayfish, respectively. Transcripts were annotated using the Dammit! pipeline and assigned to KEGG pathways. Respective transcriptome and raw datasets may be reused as the reference transcriptome assemblies for future expression studies.
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Affiliation(s)
- Ljudevit Luka Boštjančić
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Caterina Francesconi
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany.
| | - Christelle Rutz
- Department of Computer ScienceUMR 7357Centre de Recherche en Biomédecine de Strasbourg, ICube, University of Strasbourg, CNRS, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Lucien Hoffbeck
- Department of Computer ScienceUMR 7357Centre de Recherche en Biomédecine de Strasbourg, ICube, University of Strasbourg, CNRS, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Laetitia Poidevin
- Department of Computer ScienceUMR 7357Centre de Recherche en Biomédecine de Strasbourg, ICube, University of Strasbourg, CNRS, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Arnaud Kress
- Department of Computer ScienceUMR 7357Centre de Recherche en Biomédecine de Strasbourg, ICube, University of Strasbourg, CNRS, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Japo Jussila
- Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70210, Kuopio, Finland
| | - Jenny Makkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70210, Kuopio, Finland
- BioSafe - Biological Safety Solutions, Microkatu 1, 70210, Kuopio, Finland
| | - Barbara Feldmeyer
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
| | - Klaus Schwenk
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany
| | - Odile Lecompte
- Department of Computer ScienceUMR 7357Centre de Recherche en Biomédecine de Strasbourg, ICube, University of Strasbourg, CNRS, Rue Eugène Boeckel 1, 67000, Strasbourg, France
| | - Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Georg-Voigt-Str. 14-16, 60325, Frankfurt am Main, Germany
- Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, 76829, Landau, Germany
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Nevers Y, Jones TEM, Jyothi D, Yates B, Ferret M, Portell-Silva L, Codo L, Cosentino S, Marcet-Houben M, Vlasova A, Poidevin L, Kress A, Hickman M, Persson E, Piližota I, Guijarro-Clarke C, Iwasaki W, Lecompte O, Sonnhammer E, Roos DS, Gabaldón T, Thybert D, Thomas PD, Hu Y, Emms DM, Bruford E, Capella-Gutierrez S, Martin MJ, Dessimoz C, Altenhoff A. The Quest for Orthologs orthology benchmark service in 2022. Nucleic Acids Res 2022; 50:W623-W632. [PMID: 35552456 PMCID: PMC9252809 DOI: 10.1093/nar/gkac330] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [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: 02/23/2022] [Revised: 04/07/2022] [Accepted: 04/30/2022] [Indexed: 11/15/2022] Open
Abstract
The Orthology Benchmark Service (https://orthology.benchmarkservice.org) is the gold standard for orthology inference evaluation, supported and maintained by the Quest for Orthologs consortium. It is an essential resource to compare existing and new methods of orthology inference (the bedrock for many comparative genomics and phylogenetic analysis) over a standard dataset and through common procedures. The Quest for Orthologs Consortium is dedicated to maintaining the resource up to date, through regular updates of the Reference Proteomes and increasingly accessible data through the OpenEBench platform. For this update, we have added a new benchmark based on curated orthology assertion from the Vertebrate Gene Nomenclature Committee, and provided an example meta-analysis of the public predictions present on the platform.
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Affiliation(s)
- Yannis Nevers
- To whom correspondence should be addressed. Tel: +41 21 692 5449;
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Dushyanth Jyothi
- Protein Function development, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Bethan Yates
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Meritxell Ferret
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain
| | - Laura Portell-Silva
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain
| | - Laia Codo
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain
| | - Salvatore Cosentino
- Department of Biological Sciences, Graduate School of Science, the University of Tokyo, Tokyo, Japan
| | - Marina Marcet-Houben
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain,Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Anna Vlasova
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain,Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Laetitia Poidevin
- Department of Computer Science, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, Strasbourg, France,BiGEst-ICube Platform, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, Strasbourg, France
| | - Arnaud Kress
- Department of Computer Science, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, Strasbourg, France,BiGEst-ICube Platform, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, Strasbourg, France
| | - Mark Hickman
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Emma Persson
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | - Ivana Piližota
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Cristina Guijarro-Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | | | - Wataru Iwasaki
- Department of Biological Sciences, Graduate School of Science, the University of Tokyo, Tokyo, Japan,Department of Integrated Biosciences, Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan
| | - Odile Lecompte
- Department of Computer Science, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, Strasbourg, France
| | - Erik Sonnhammer
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | - David S Roos
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Toni Gabaldón
- Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3 08034 Barcelona, Spain,Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain,Centro de Investigaciones Biomédicas en Red de Enfermedades Infecciosas, Barcelona, Spain
| | - David Thybert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Paul D Thomas
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - David M Emms
- Department of Plant Sciences, University of Oxford, Oxford OX1 3RB, UK
| | - Elspeth Bruford
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK,Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | | | - Maria J Martin
- Protein Function development, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Christophe Dessimoz
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland,Swiss Institute for Bioinformatics, University of Lausanne, Lausanne, Switzerland,Department of Computer Science, University College London, London, UK,Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Adrian Altenhoff
- Swiss Institute for Bioinformatics, University of Lausanne, Lausanne, Switzerland,Computer Science Department, ETH Zurich, Zurich, Switzerland
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Poidevin L, Forment J, Unal D, Ferrando A. Transcriptome and translatome changes in germinated pollen under heat stress uncover roles of transporter genes involved in pollen tube growth. Plant Cell Environ 2021. [PMID: 33289138 DOI: 10.1101/2020.05.29.122937] [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] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Plant reproduction is one key biological process that is very sensitive to heat stress and, as a result, enhanced global warming becomes a serious threat to agriculture. In this work, we have studied the effects of heat on germinated pollen of Arabidopsis thaliana both at the transcriptional and translational level. We have used a high-resolution ribosome profiling technology to provide a comprehensive study of the transcriptome and the translatome of germinated pollen at permissive and restrictive temperatures. We have found significant down-regulation of key membrane transporters required for pollen tube growth by heat, thus uncovering heat-sensitive targets. A subset of the heat-repressed transporters showed coordinated up-regulation with canonical heat-shock genes at permissive conditions. We also found specific regulations at the translational level and we have uncovered the presence of ribosomes on sequences annotated as non-coding. Our results demonstrate that heat impacts mostly on membrane transporters thus explaining the deleterious effects of heat stress on pollen growth. The specific regulations at the translational level and the presence of ribosomes on non-coding RNAs highlights novel regulatory aspects on plant fertilization.
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Affiliation(s)
- Laetitia Poidevin
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
| | - Javier Forment
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
| | - Dilek Unal
- Biotechnology Application and Research Center, and Department of Molecular Biology, Faculty of Science and Letter, Bilecik Seyh Edebali University, Bilecik, Turkey
| | - Alejandro Ferrando
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
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5
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Poidevin L, Forment J, Unal D, Ferrando A. Transcriptome and translatome changes in germinated pollen under heat stress uncover roles of transporter genes involved in pollen tube growth. Plant Cell Environ 2021; 44:2167-2184. [PMID: 33289138 DOI: 10.1111/pce.13972] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 11/27/2020] [Accepted: 11/28/2020] [Indexed: 05/12/2023]
Abstract
Plant reproduction is one key biological process that is very sensitive to heat stress and, as a result, enhanced global warming becomes a serious threat to agriculture. In this work, we have studied the effects of heat on germinated pollen of Arabidopsis thaliana both at the transcriptional and translational level. We have used a high-resolution ribosome profiling technology to provide a comprehensive study of the transcriptome and the translatome of germinated pollen at permissive and restrictive temperatures. We have found significant down-regulation of key membrane transporters required for pollen tube growth by heat, thus uncovering heat-sensitive targets. A subset of the heat-repressed transporters showed coordinated up-regulation with canonical heat-shock genes at permissive conditions. We also found specific regulations at the translational level and we have uncovered the presence of ribosomes on sequences annotated as non-coding. Our results demonstrate that heat impacts mostly on membrane transporters thus explaining the deleterious effects of heat stress on pollen growth. The specific regulations at the translational level and the presence of ribosomes on non-coding RNAs highlights novel regulatory aspects on plant fertilization.
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Affiliation(s)
- Laetitia Poidevin
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
| | - Javier Forment
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
| | - Dilek Unal
- Biotechnology Application and Research Center, and Department of Molecular Biology, Faculty of Science and Letter, Bilecik Seyh Edebali University, Bilecik, Turkey
| | - Alejandro Ferrando
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, Valencia, Spain
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Entz-Werle N, Poidevin L, Nazarov P, Lhermitte B, Chenard MP, Poch O, Dontenwill M, Van Dyck E. HGG-34. A DNA DAMAGE REPAIR SIGNATURE IN PRIMARY AND RECURRENT PEDIATRIC HIGH-GRADE GLIOMAS: PROGNOSTIC AND THERAPEUTIC VALUE. Neuro Oncol 2021. [PMCID: PMC8168130 DOI: 10.1093/neuonc/noab090.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Pediatric high-grade gliomas (pHGGs), including diffuse intrinsic pontine gliomas (DIPGs), despite their low incidence, are the leading cause of mortality in pediatric neuro-oncology. Frequently, pHGGs, harboring mainly histone mutations, are or become resistant to standard therapies like irradiation or chemotherapies. Recent insights showed in adult HGG the predominant role of DNA damage repair (DDR) as a way of prognostic classification. Given the recent evidence that transcription conflicts like in histone-mutated gliomas can induce replication stress and be linked to DDR abnormalities, this study is aiming to establish a DDR signature able to classify specifically pHGGs and to cluster among them poor responders to radiation. Transcriptomic analyses were performed to discriminate seven pHGGs comparatively to a cohort of 10 pilocytic astrocytomas with specific DDR deregulations. The specific transcriptomic signature obtained from this differential gene expression analysis was compared to the aHGG signature already established. To strengthen, refine and finalize the DDR signature able to classify and cluster the pHGGs, we explored both signatures and their common genes in already published transcriptomic analyses of DIPGs and sus-tentorial pHGGs. To check DDR protein expressions correlated to loss of trimethylation as well as histone and TP53 mutations, an immunohistochemical assessment of several DDR markers was performed on a collection of 21 pHGG diagnostic samples and 9 paired relapses. To validate the DDR functional inhibition, we used 3 patient-derived cell lines bearing H3.3K27M mutations. A finalized signature of 28 genes involved in DNA repair and cell cycle machineries was used to cluster in two groups the pHGG cohorts. The differential protein expression of PARP1, XRCC1, p53 and stem cell markers was linked significantly to the more resistant pHGGs and the rapid progressions after radiotherapy. Those DDR makers might be used as theranostic and therapeutic targets, which were screened in PDCLs with promising results.
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Affiliation(s)
- Natacha Entz-Werle
- UMR CNRS 7021, Illkirch, France
- Pediatric oncohematology, university hospital of Strasbourg, Strasbourg, France
| | | | - Petr Nazarov
- Luxembourg Institute of Health Department of Oncology, Luxembourg, Luxembourg
| | - Benoit Lhermitte
- Pathology Department, University Hospital of Strasbourg, Strasbourg, France
| | | | | | | | - Eric Van Dyck
- Luxembourg Institute of Health Department of Oncology, Luxembourg, Luxembourg
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7
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Entz-Werlé N, Poidevin L, Nazarov PV, Poch O, Lhermitte B, Chenard MP, Burckel H, Guérin E, Fuchs Q, Castel D, Noel G, Choulier L, Dontenwill M, Van Dyck E. A DNA Repair and Cell Cycle Gene Expression Signature in Pediatric High-Grade Gliomas: Prognostic and Therapeutic Value. Cancers (Basel) 2021; 13:cancers13092252. [PMID: 34067180 PMCID: PMC8125831 DOI: 10.3390/cancers13092252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 03/01/2021] [Revised: 04/27/2021] [Accepted: 04/30/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Pediatric high-grade gliomas (pHGGs) are the leading cause of mortality in pediatric neuro-oncology, displaying frequent resistance to standard therapies. Profiling DNA repair and cell cycle gene expression has recently been proposed as a strategy to classify adult glioblastomas. To improve our understanding of the DNA damage response pathways that operate in pHGGs and the vulnerabilities that these pathways might expose, we sought to identify and characterize a specific DNA repair and cell-cycle gene expression signature of pHGGs. METHODS Transcriptomic analyses were performed to identify a DNA repair and cell-cycle gene expression signature able to discriminate pHGGs (n = 6) from low-grade gliomas (n = 10). This signature was compared to related signatures already established. We used the pHGG signature to explore already transcriptomic datasets of DIPGs and sus-tentorial pHGGs. Finally, we examined the expression of key proteins of the pHGG signature in 21 pHGG diagnostic samples and nine paired relapses. Functional inhibition of one DNA repair factor was carried out in four patients who derived H3.3 K27M mutant cell lines. RESULTS We identified a 28-gene expression signature of DNA repair and cell cycle that clustered pHGGs cohorts, in particular sus-tentorial locations, in two groups. Differential protein expression levels of PARP1 and XRCC1 were associated to TP53 mutations and TOP2A amplification and linked significantly to the more radioresistant pHGGs displaying the worst outcome. Using patient-derived cell lines, we showed that the PARP-1/XRCC1 expression balance might be correlated with resistance to PARP1 inhibition. CONCLUSION We provide evidence that PARP1 overexpression, associated to XRCC1 expression, TP53 mutations, and TOP2A amplification, is a new theranostic and potential therapeutic target.
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Affiliation(s)
- Natacha Entz-Werlé
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France; (Q.F.); (L.C.); (M.D.)
- Pediatric Onco-Hematology Unit, University Hospital of Strasbourg, 67098 Strasbourg, France
- Correspondence: (N.E.-W.); (E.V.D.); Tel.: +33-3-88-12-83-96 (N.E.-W.); +352-26970-239 (E.V.D.)
| | - Laetitia Poidevin
- ICube-UMR7357, CSTB, Centre de Recherche en Biomédecine de Strasbourg, 67084 Strasbourg, France; (L.P.); (O.P.)
| | - Petr V. Nazarov
- Multiomics Data Science Research Group, Quantitative Biology Unit, Department of Oncology and Bioinformatics Platform, Luxembourg Institute of Health, L-1445 Luxembourg, Luxembourg;
| | - Olivier Poch
- ICube-UMR7357, CSTB, Centre de Recherche en Biomédecine de Strasbourg, 67084 Strasbourg, France; (L.P.); (O.P.)
| | - Benoit Lhermitte
- Pathology Department, University Hospital of Strasbourg, 67098 Strasbourg, France; (B.L.); (M.P.C.)
| | - Marie Pierre Chenard
- Pathology Department, University Hospital of Strasbourg, 67098 Strasbourg, France; (B.L.); (M.P.C.)
- Centre de Ressources Biologiques, University Hospital of Strasbourg, 67098 Strasbourg, France
| | - Hélène Burckel
- Paul Strauss Comprehensive Cancer Center, Radiobioly Laboratory, ICANS (Institut de Cancérologie Strasbourg Europe), University of Strasbourg, Unicancer, 67200 Strasbourg, France; (H.B.); (G.N.)
| | - Eric Guérin
- Oncobiology Platform, Laboratory of Biochemistry, University Hospital of Strasbourg, 67098 Strasbourg, France;
| | - Quentin Fuchs
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France; (Q.F.); (L.C.); (M.D.)
| | - David Castel
- Team Genomics & Oncogenesis of Pediatric Brain Tumors, Inserm U981, Gustave Roussy Institute, 94805 Villejuif, France;
| | - Georges Noel
- Paul Strauss Comprehensive Cancer Center, Radiobioly Laboratory, ICANS (Institut de Cancérologie Strasbourg Europe), University of Strasbourg, Unicancer, 67200 Strasbourg, France; (H.B.); (G.N.)
| | - Laurence Choulier
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France; (Q.F.); (L.C.); (M.D.)
| | - Monique Dontenwill
- UMR CNRS 7021, Laboratory Bioimaging and Pathologies, Tumoral Signaling and Therapeutic Targets, Faculty of Pharmacy, 67401 Illkirch, France; (Q.F.); (L.C.); (M.D.)
| | - Eric Van Dyck
- DNA Repair and Chemoresistance, Department of Oncology, Luxembourg Institute of Health, L-1526 Luxembourg, Luxembourg
- Correspondence: (N.E.-W.); (E.V.D.); Tel.: +33-3-88-12-83-96 (N.E.-W.); +352-26970-239 (E.V.D.)
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8
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Rutley N, Poidevin L, Doniger T, Tillett RL, Rath A, Forment J, Luria G, Schlauch KA, Ferrando A, Harper JF, Miller G. Correction to: Characterization of novel pollen-expressed transcripts reveals their potential roles in pollen heat stress response in Arabidopsis thaliana. Plant Reprod 2021; 34:79. [PMID: 34184106 PMCID: PMC8329806 DOI: 10.1007/s00497-021-00405-4] [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] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Nicholas Rutley
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Laetitia Poidevin
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Tirza Doniger
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Richard L Tillett
- Department of Biochemistry and Molecular Biology, University of Nevada at Reno, Reno, NV, 89557, USA
- Nevada INBRE Bioinformatics Core, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Abhishek Rath
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Javier Forment
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Gilad Luria
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Karen A Schlauch
- Institute of Health Innovation, Desert Research Institute, Department of Pharmacology, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Alejandro Ferrando
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Jeffery F Harper
- Department of Biochemistry and Molecular Biology, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Gad Miller
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel.
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9
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Rutley N, Poidevin L, Doniger T, Tillett RL, Rath A, Forment J, Luria G, Schlauch KA, Ferrando A, Harper JF, Miller G. Characterization of novel pollen-expressed transcripts reveals their potential roles in pollen heat stress response in Arabidopsis thaliana. Plant Reprod 2021; 34:61-78. [PMID: 33459869 PMCID: PMC7902599 DOI: 10.1007/s00497-020-00400-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 11/17/2020] [Indexed: 05/27/2023]
Abstract
Arabidopsis pollen transcriptome analysis revealed new intergenic transcripts of unknown function, many of which are long non-coding RNAs, that may function in pollen-specific processes, including the heat stress response. The male gametophyte is the most heat sensitive of all plant tissues. In recent years, long noncoding RNAs (lncRNAs) have emerged as important components of cellular regulatory networks involved in most biological processes, including response to stress. While examining RNAseq datasets of developing and germinating Arabidopsis thaliana pollen exposed to heat stress (HS), we identified 66 novel and 246 recently annotated intergenic expressed loci (XLOCs) of unknown function, with the majority encoding lncRNAs. Comparison with HS in cauline leaves and other RNAseq experiments indicated that 74% of the 312 XLOCs are pollen-specific, and at least 42% are HS-responsive. Phylogenetic analysis revealed that 96% of the genes evolved recently in Brassicaceae. We found that 50 genes are putative targets of microRNAs and that 30% of the XLOCs contain small open reading frames (ORFs) with homology to protein sequences. Finally, RNAseq of ribosome-protected RNA fragments together with predictions of periodic footprint of the ribosome P-sites indicated that 23 of these ORFs are likely to be translated. Our findings indicate that many of the 312 unknown genes might be functional and play a significant role in pollen biology, including the HS response.
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Affiliation(s)
- Nicholas Rutley
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Laetitia Poidevin
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Tirza Doniger
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Richard L Tillett
- Department of Biochemistry and Molecular Biology, University of Nevada at Reno, Reno, NV, 89557, USA
- Nevada INBRE Bioinformatics Core, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Abhishek Rath
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Javier Forment
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Gilad Luria
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel
| | - Karen A Schlauch
- Institute of Health Innovation, Desert Research Institute, Department of Pharmacology, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Alejandro Ferrando
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Cient́́if́icas-Universitat Politècnica de València, Valencia, Spain
| | - Jeffery F Harper
- Department of Biochemistry and Molecular Biology, University of Nevada at Reno, Reno, NV, 89557, USA
| | - Gad Miller
- The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Ramat-Gan, Israel.
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10
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Poidevin L, Unal D, Belda-Palazón B, Ferrando A. Polyamines as Quality Control Metabolites Operating at the Post-Transcriptional Level. Plants (Basel) 2019; 8:plants8040109. [PMID: 31022874 PMCID: PMC6524035 DOI: 10.3390/plants8040109] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 04/17/2019] [Accepted: 04/19/2019] [Indexed: 01/04/2023]
Abstract
Plant polyamines (PAs) have been assigned a large number of physiological functions with unknown molecular mechanisms in many cases. Among the most abundant and studied polyamines, two of them, namely spermidine (Spd) and thermospermine (Tspm), share some molecular functions related to quality control pathways for tightly regulated mRNAs at the level of translation. In this review, we focus on the roles of Tspm and Spd to facilitate the translation of mRNAs containing upstream ORFs (uORFs), premature stop codons, and ribosome stalling sequences that may block translation, thus preventing their degradation by quality control mechanisms such as the nonsense-mediated decay pathway and possible interactions with other mRNA quality surveillance pathways.
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Affiliation(s)
- Laetitia Poidevin
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, 46022 Valencia, Spain.
| | - Dilek Unal
- Biotechnology Application and Research Center, and Department of Molecular Biology, Faculty of Science and Letter, Bilecik Seyh Edebali University, 11230 Bilecik, Turkey.
| | - Borja Belda-Palazón
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, 46022 Valencia, Spain.
| | - Alejandro Ferrando
- Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, 46022 Valencia, Spain.
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11
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Romain B, Benbrika-Nehmar R, Marisa L, Legrain M, Lobstein V, Oravecz A, Poidevin L, Bour C, Freund JN, Duluc I, Guenot D, Pencreach E. Histone hypoacetylation contributes to CXCL12 downregulation in colon cancer: impact on tumor growth and cell migration. Oncotarget 2018; 8:38351-38366. [PMID: 28418886 PMCID: PMC5503537 DOI: 10.18632/oncotarget.16323] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 02/27/2017] [Indexed: 12/11/2022] Open
Abstract
CXCL12 has been shown to be involved in colon cancer metastasis, but its expression level and molecular mechanisms regulating its expression remain controversial. We thus evaluated CXCL12 expression in a large cohort of colon adenomas and carcinomas, investigated for an epigenetic mechanism controlling its expression and evaluated the impact of CXCL12 levels on cell migration and tumor growth. CXCL12 expression was measured in human colon adenomas and carcinomas with transcriptome array and RT-qPCR. The promoter methylation was analyzed with whole-genome DNA methylation chips and protein expression by immunohistochemistry. We confirm a reduced expression of CXCL12 in 75% of MSS carcinomas and show that the decrease is an early event as already present in adenomas. The methylome analysis shows that the CXCL12 promoter is methylated in only 30% of microsatellite-stable tumors. In vitro, treatments with HDAC inhibitors, butyrate and valproate restored CXCL12 expression in three colon cell lines, increased acetylation of histone H3 within the CXCL12 promoter and inhibited cell migration. In vivo, valproate diminished (65%) the number of intestinal tumors in APC mutant mice, slowed down xenograft tumor growth concomitant to restored CXCL12 expression. Finally we identified loss of PCAF expression in tumor samples and showed that forced expression of PCAF in colon cancer cell lines restored CXCL12 expression. Thus, reduced PCAF expression may participate to CXCL12 promoter hypoacetylation and its subsequent loss of expression. Our study is of potential clinical interest because agents that promote or maintain histone acetylation through HDAC inhibition and/or HAT stimulation, may help to lower colon adenoma/carcinoma incidence, especially in high-risk families, or could be included in therapeutic protocols to treat advanced colon cancer.
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Affiliation(s)
- Benoît Romain
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France.,Hôpitaux Universitaires de Strasbourg, Service de Chirurgie Générale et Digestive, Strasbourg, France
| | - Radhia Benbrika-Nehmar
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France
| | - Laetitia Marisa
- Cartes d'Identité des Tumeurs Program, Ligue Nationale Contre le Cancer, Paris, France
| | - Michèle Legrain
- Hôpitaux Universitaires de Strasbourg, Laboratoire de Biochimie et Biologie Moléculaire, Strasbourg, France
| | - Viviane Lobstein
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France
| | - Attila Oravecz
- Université de Strasbourg, CNRS, Department of Computer Science, ICube, Strasbourg, France
| | - Laetitia Poidevin
- Université de Strasbourg, CNRS, Department of Computer Science, ICube, Strasbourg, France
| | - Cyril Bour
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France
| | | | - Isabelle Duluc
- Université de Strasbourg, INSERM Unit 1113, Strasbourg, France
| | - Dominique Guenot
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France
| | - Erwan Pencreach
- Université de Strasbourg, Progression Tumorale et Microenvironnement, Approches Translationnelles et Epidémiologie, Strasbourg, France.,Hôpitaux Universitaires de Strasbourg, Laboratoire de Biochimie et Biologie Moléculaire, Strasbourg, France.,Hôpitaux Universitaires de Strasbourg, Centre de Ressources Biologiques, Département de Pathologie, Strasbourg, France
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12
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Nevers Y, Prasad MK, Poidevin L, Chennen K, Allot A, Kress A, Ripp R, Thompson JD, Dollfus H, Poch O, Lecompte O. Insights into Ciliary Genes and Evolution from Multi-Level Phylogenetic Profiling. Mol Biol Evol 2018; 34:2016-2034. [PMID: 28460059 PMCID: PMC5850483 DOI: 10.1093/molbev/msx146] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [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] [Indexed: 12/16/2022] Open
Abstract
Cilia (flagella) are important eukaryotic organelles, present in the Last Eukaryotic Common Ancestor, and are involved in cell motility and integration of extracellular signals. Ciliary dysfunction causes a class of genetic diseases, known as ciliopathies, however current knowledge of the underlying mechanisms is still limited and a better characterization of genes is needed. As cilia have been lost independently several times during evolution and they are subject to important functional variation between species, ciliary genes can be investigated through comparative genomics. We performed phylogenetic profiling by predicting orthologs of human protein-coding genes in 100 eukaryotic species. The analysis integrated three independent methods to predict a consensus set of 274 ciliary genes, including 87 new promising candidates. A fine-grained analysis of the phylogenetic profiles allowed a partitioning of ciliary genes into modules with distinct evolutionary histories and ciliary functions (assembly, movement, centriole, etc.) and thus propagation of potential annotations to previously undocumented genes. The cilia/basal body localization was experimentally confirmed for five of these previously unannotated proteins (LRRC23, LRRC34, TEX9, WDR27, and BIVM), validating the relevance of our approach. Furthermore, our multi-level analysis sheds light on the core gene sets retained in gamete-only flagellates or Ecdysozoa for instance. By combining gene-centric and species-oriented analyses, this work reveals new ciliary and ciliopathy gene candidates and provides clues about the evolution of ciliary processes in the eukaryotic domain. Additionally, the positive and negative reference gene sets and the phylogenetic profile of human genes constructed during this study can be exploited in future work.
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Affiliation(s)
- Yannis Nevers
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Megana K Prasad
- Laboratoire de Génétique Médicale, Institut de Génétique Médicale d'Alsace, INSERM U1112, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Laetitia Poidevin
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Kirsley Chennen
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Alexis Allot
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Arnaud Kress
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Raymond Ripp
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Julie D Thompson
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Hélène Dollfus
- Laboratoire de Génétique Médicale, Institut de Génétique Médicale d'Alsace, INSERM U1112, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.,Centre de Référence pour les Affections Rares en Génétique Ophtalmologique, Service de Génétique Médicale, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Olivier Poch
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
| | - Odile Lecompte
- Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France
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13
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Allot A, Chennen K, Nevers Y, Poidevin L, Kress A, Ripp R, Thompson JD, Poch O, Lecompte O. MyGeneFriends: A Social Network Linking Genes, Genetic Diseases, and Researchers. J Med Internet Res 2017. [PMID: 28623182 PMCID: PMC5493784 DOI: 10.2196/jmir.6676] [Citation(s) in RCA: 5] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Background The constant and massive increase of biological data offers unprecedented opportunities to decipher the function and evolution of genes and their roles in human diseases. However, the multiplicity of sources and flow of data mean that efficient access to useful information and knowledge production has become a major challenge. This challenge can be addressed by taking inspiration from Web 2.0 and particularly social networks, which are at the forefront of big data exploration and human-data interaction. Objective MyGeneFriends is a Web platform inspired by social networks, devoted to genetic disease analysis, and organized around three types of proactive agents: genes, humans, and genetic diseases. The aim of this study was to improve exploration and exploitation of biological, postgenomic era big data. Methods MyGeneFriends leverages conventions popularized by top social networks (Facebook, LinkedIn, etc), such as networks of friends, profile pages, friendship recommendations, affinity scores, news feeds, content recommendation, and data visualization. Results MyGeneFriends provides simple and intuitive interactions with data through evaluation and visualization of connections (friendships) between genes, humans, and diseases. The platform suggests new friends and publications and allows agents to follow the activity of their friends. It dynamically personalizes information depending on the user’s specific interests and provides an efficient way to share information with collaborators. Furthermore, the user’s behavior itself generates new information that constitutes an added value integrated in the network, which can be used to discover new connections between biological agents. Conclusions We have developed MyGeneFriends, a Web platform leveraging conventions from popular social networks to redefine the relationship between humans and biological big data and improve human processing of biomedical data. MyGeneFriends is available at lbgi.fr/mygenefriends.
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Affiliation(s)
- Alexis Allot
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Kirsley Chennen
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Yannis Nevers
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Laetitia Poidevin
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Arnaud Kress
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Raymond Ripp
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Julie Dawn Thompson
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Olivier Poch
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
| | - Odile Lecompte
- ICUBE UMR 7357, Complex Systems and Translational Bioinformatics, Université de Strasbourg - CNRS - FMTS, Strasbourg, France
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14
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Poidevin L, Andreeva K, Khachatoorian C, Judelson HS. Comparisons of Ribosomal Protein Gene Promoters Indicate Superiority of Heterologous Regulatory Sequences for Expressing Transgenes in Phytophthora infestans. PLoS One 2015; 10:e0145612. [PMID: 26716454 PMCID: PMC4696810 DOI: 10.1371/journal.pone.0145612] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 12/07/2015] [Indexed: 12/14/2022] Open
Abstract
Molecular genetics approaches in Phytophthora research can be hampered by the limited number of known constitutive promoters for expressing transgenes and the instability of transgene activity. We have therefore characterized genes encoding the cytoplasmic ribosomal proteins of Phytophthora and studied their suitability for expressing transgenes in P. infestans. Phytophthora spp. encode a standard complement of 79 cytoplasmic ribosomal proteins. Several genes are duplicated, and two appear to be pseudogenes. Half of the genes are expressed at similar levels during all stages of asexual development, and we discovered that the majority share a novel promoter motif named the PhRiboBox. This sequence is enriched in genes associated with transcription, translation, and DNA replication, including tRNA and rRNA biogenesis. Promoters from the three P. infestans genes encoding ribosomal proteins S9, L10, and L23 and their orthologs from P. capsici were tested for their ability to drive transgenes in stable transformants of P. infestans. Five of the six promoters yielded strong expression of a GUS reporter, but the stability of expression was higher using the P. capsici promoters. With the RPS9 and RPL10 promoters of P. infestans, about half of transformants stopped making GUS over two years of culture, while their P. capsici orthologs conferred stable expression. Since cross-talk between native and transgene loci may trigger gene silencing, we encourage the use of heterologous promoters in transformation studies.
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Affiliation(s)
- Laetitia Poidevin
- Department of Plant Pathology and Microbiology, University of California, Riverside, California, United States of America
| | - Kalina Andreeva
- Department of Plant Pathology and Microbiology, University of California, Riverside, California, United States of America
| | - Careen Khachatoorian
- Department of Plant Pathology and Microbiology, University of California, Riverside, California, United States of America
| | - Howard S. Judelson
- Department of Plant Pathology and Microbiology, University of California, Riverside, California, United States of America
- * E-mail:
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15
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Romand R, Ripp R, Poidevin L, Boeglin M, Geffers L, Dollé P, Poch O. Integrated annotation and analysis of in situ hybridization images using the ImAnno system: application to the ear and sensory organs of the fetal mouse. PLoS One 2015; 10:e0118024. [PMID: 25706271 PMCID: PMC4338146 DOI: 10.1371/journal.pone.0118024] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 12/30/2014] [Indexed: 11/23/2022] Open
Abstract
An in situ hybridization (ISH) study was performed on 2000 murine genes representing around 10% of the protein-coding genes present in the mouse genome using data generated by the EURExpress consortium. This study was carried out in 25 tissues of late gestation embryos (E14.5), with a special emphasis on the developing ear and on five distinct developing sensory organs, including the cochlea, the vestibular receptors, the sensory retina, the olfactory organ, and the vibrissae follicles. The results obtained from an analysis of more than 11,000 micrographs have been integrated in a newly developed knowledgebase, called ImAnno. In addition to managing the multilevel micrograph annotations performed by human experts, ImAnno provides public access to various integrated databases and tools. Thus, it facilitates the analysis of complex ISH gene expression patterns, as well as functional annotation and interaction of gene sets. It also provides direct links to human pathways and diseases. Hierarchical clustering of expression patterns in the 25 tissues revealed three main branches corresponding to tissues with common functions and/or embryonic origins. To illustrate the integrative power of ImAnno, we explored the expression, function and disease traits of the sensory epithelia of the five presumptive sensory organs. The study identified 623 genes (out of 2000) concomitantly expressed in the five embryonic epithelia, among which many (∼12%) were involved in human disorders. Finally, various multilevel interaction networks were characterized, highlighting differential functional enrichments of directly or indirectly interacting genes. These analyses exemplify an under-represention of "sensory" functions in the sensory gene set suggests that E14.5 is a pivotal stage between the developmental stage and the functional phase that will be fully reached only after birth.
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Affiliation(s)
- Raymond Romand
- Developmental Biology and Stem Cells Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS, INSERM, Université de Strasbourg), BP163, 67404 Illkirch Cedex, France
| | - Raymond Ripp
- Developmental Biology and Stem Cells Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS, INSERM, Université de Strasbourg), BP163, 67404 Illkirch Cedex, France
- LBGI Bioinformatique et Génomique Intégratives, ICube Laboratory and Strasbourg Federation of Translational Medecine (FMTS), University of Strasbourg and CNRS, Strasbourg, France
| | - Laetitia Poidevin
- LBGI Bioinformatique et Génomique Intégratives, ICube Laboratory and Strasbourg Federation of Translational Medecine (FMTS), University of Strasbourg and CNRS, Strasbourg, France
| | - Marcel Boeglin
- Imaging & Microscopy Platform, Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS, INSERM, Université de Strasbourg), BP163, 67404 Illkirch Cedex, France
| | - Lars Geffers
- Department of Genes and Behavior, Max Planck Institute for Biophysical Chemistry, Am Faßberg 11, 37077 Göttingen, Germany
| | - Pascal Dollé
- Developmental Biology and Stem Cells Department, Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS, INSERM, Université de Strasbourg), BP163, 67404 Illkirch Cedex, France
| | - Olivier Poch
- LBGI Bioinformatique et Génomique Intégratives, ICube Laboratory and Strasbourg Federation of Translational Medecine (FMTS), University of Strasbourg and CNRS, Strasbourg, France
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16
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Abstract
SUMMARY We present PARSEC (PAtteRn Search and Contextualization), a new open source platform for guided discovery, allowing localization and biological characterization of short genomic sites in entire eukaryotic genomes. PARSEC can search for a sequence or a degenerated pattern. The retrieved set of genomic sites can be characterized in terms of (i) conservation in model organisms, (ii) genomic context (proximity to genes) and (iii) function of neighboring genes. These modules allow the user to explore, visualize, filter and extract biological knowledge from a set of short genomic regions such as transcription factor binding sites. AVAILABILITY Web site implemented in Java, JavaScript and C++, with all major browsers supported. Freely available at lbgi.fr/parsec. Source code is freely available at sourceforge.net/projects/genomicparsec.
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Affiliation(s)
- Alexis Allot
- Laboratoire de Bioinformatique et Génomique Intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) CNRS/INSERM/UDS, 67404, Illkirch, France
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Roy S, Poidevin L, Jiang T, Judelson HS. Novel core promoter elements in the oomycete pathogen Phytophthora infestans and their influence on expression detected by genome-wide analysis. BMC Genomics 2013; 14:106. [PMID: 23414203 PMCID: PMC3599244 DOI: 10.1186/1471-2164-14-106] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [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: 11/16/2012] [Accepted: 01/31/2013] [Indexed: 12/19/2022] Open
Abstract
Background The core promoter is the region flanking the transcription start site (TSS) that directs formation of the pre-initiation complex. Core promoters have been studied intensively in mammals and yeast, but not in more diverse eukaryotes. Here we investigate core promoters in oomycetes, a group within the Stramenopile kingdom that includes important plant and animal pathogens. Prior studies of a small collection of genes proposed that oomycete core promoters contain a 16 to 19 nt motif bearing an Initiator-like sequence (INR) flanked by a novel sequence named FPR, but this has not been extended to whole-genome analysis. Results We used expectation maximization to find over-represented motifs near TSSs of Phytophthora infestans, the potato blight pathogen. The motifs corresponded to INR, FPR, and a new element found about 25 nt downstream of the TSS called DPEP. TATA boxes were not detected. Assays of DPEP function by mutagenesis were consistent with its role as a core motif. Genome-wide searches found a well-conserved combined INR+FPR in only about 13% of genes after correcting for false discovery, which contradicted prior reports that INR and FPR are found together in most genes. INR or FPR were found alone near TSSs in 18% and 7% of genes, respectively. Promoters lacking the motifs had pyrimidine-rich regions near the TSS. The combined INR+FPR motif was linked to higher than average mRNA levels, developmentally-regulated transcription, and functions related to plant infection, while DPEP and FPR were over-represented in constitutively-expressed genes. The INR, FPR, and combined INR+FPR motifs were detected in other oomycetes including Hyaloperonospora arabidopsidis, Phytophthora sojae, Pythium ultimum, and Saprolegnia parasitica, while DPEP was found in all but S. parasitica. Only INR seemed present in a non-oomycete stramenopile. Conclusions The absence of a TATA box and presence of novel motifs show that the oomycete core promoter is diverged from that of model systems, and likely explains the lack of activity of non-oomycete promoters in Phytophthora transformants. The association of the INR+FPR motif with developmentally-regulated genes shows that oomycete core elements influence stage-specific transcription in addition to regulating formation of the pre-initiation complex.
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Affiliation(s)
- Sourav Roy
- Department of Plant Pathology and Microbiology, University of California, 92521, Riverside, CA 92521, USA
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18
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Luu TD, Rusu A, Walter V, Linard B, Poidevin L, Ripp R, Moulinier L, Muller J, Raffelsberger W, Wicker N, Lecompte O, Thompson JD, Poch O, Nguyen H. KD4v: Comprehensible Knowledge Discovery System for Missense Variant. Nucleic Acids Res 2012; 40:W71-5. [PMID: 22641855 PMCID: PMC3394327 DOI: 10.1093/nar/gks474] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [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] [Indexed: 12/02/2022] Open
Abstract
A major challenge in the post-genomic era is a better understanding of how human genetic alterations involved in disease affect the gene products. The KD4v (Comprehensible Knowledge Discovery System for Missense Variant) server allows to characterize and predict the phenotypic effects (deleterious/neutral) of missense variants. The server provides a set of rules learned by Induction Logic Programming (ILP) on a set of missense variants described by conservation, physico-chemical, functional and 3D structure predicates. These rules are interpretable by non-expert humans and are used to accurately predict the deleterious/neutral status of an unknown mutation. The web server is available at http://decrypthon.igbmc.fr/kd4v.
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Affiliation(s)
- Tien-Dao Luu
- Laboratoire de Bioinformatique et Génomique Intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France
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19
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Bey M, Berrin JG, Poidevin L, Sigoillot JC. Heterologous expression of Pycnoporus cinnabarinus cellobiose dehydrogenase in Pichia pastoris and involvement in saccharification processes. Microb Cell Fact 2011; 10:113. [PMID: 22204630 PMCID: PMC3268779 DOI: 10.1186/1475-2859-10-113] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [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: 10/19/2011] [Accepted: 12/28/2011] [Indexed: 12/01/2022] Open
Abstract
Background Cellobiose dehydrogenase (CDH) is an extracellular hemoflavoenzyme produced by lignocellulose-degrading fungi including Pycnoporus cinnabarinus. We investigated the cellulolytic system of P. cinnabarinus, focusing on the involvement of CDH in the deconstruction of lignocellulosic biomass. Results First, P. cinnabarinus growth conditions were optimized for CDH production. Following growth under cellulolytic conditions, the main components secreted were cellulases, xylanases and CDH. To investigate the contribution of P. cinnabarinus secretome in saccharification processes, the Trichoderma reesei enzymatic cocktail was supplemented with the P. cinnabarinus secretome. A significant enhancement of the degradation of wheat straw was observed with (i) the production of a large amount of gluconic acid, (ii) increased hemicellulose degradation, and (iii) increased overall degradation of the lignocellulosic material. P. cinnabarinus CDH was heterologously expressed in Pichia pastoris to obtain large amounts of pure enzyme. In a bioreactor, the recombinant CDH (rCDH) expression level reached 7800 U/L. rCDH exhibited values of biochemical parameters similar to those of the natural enzyme, and was able to bind cellulose despite the absence of a carbohydrate-binding module (CBM). Following supplementation of purified rCDH to T. reesei enzymatic cocktail, formation of gluconic acid and increased hemicellulose degradation were observed, thus confirming the previous results observed with P. cinnabarinus secretome. Conclusions We demonstrate that CDH offers an attractive tool for saccharification process enhancement due to gluconic acid production from raw lignocellulosic material.
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Affiliation(s)
- Mathieu Bey
- INRA, UMR1163 BCF, 163 avenue de Luminy, Marseille, France.
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Poidevin L, Levasseur A, Paës G, Navarro D, Heiss-Blanquet S, Asther M, Record E. Heterologous production of thePiromyces equicinnamoyl esterase inTrichoderma reeseifor biotechnological applications. Lett Appl Microbiol 2009; 49:673-8. [DOI: 10.1111/j.1472-765x.2009.02734.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Fridlich R, Delalande F, Jaillard C, Lu J, Poidevin L, Cronin T, Perrocheau L, Millet-Puel G, Niepon ML, Poch O, Holmgren A, Van Dorsselaer A, Sahel JA, Léveillard T. The thioredoxin-like protein rod-derived cone viability factor (RdCVFL) interacts with TAU and inhibits its phosphorylation in the retina. Mol Cell Proteomics 2009; 8:1206-18. [PMID: 19279044 DOI: 10.1074/mcp.m800406-mcp200] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Rod-derived cone viability factor (RdCVF) is produced by the Nxnl1 gene that codes for a second polypeptide, RdCVFL, by alternative splicing. Although the role of RdCVF in promoting cone survival has been described, the implication of RdCVFL, a putative thioredoxin enzyme, in the protection of photoreceptors is presently unknown. Using a proteomics approach we identified 90 proteins interacting with RdCVFL including the microtubule-binding protein TAU. We demonstrate that the level of phosphorylation of TAU is increased in the retina of the Nxnl1(-/-) mice as it is hyperphosphorylated in the brain of patients suffering from Alzheimer disease, presumably in some cases through oxidative stress. Using a cell-based assay, we show that RdCVFL inhibits TAU phosphorylation. In vitro, RdCVFL protects TAU from oxidative damage. Photooxidative stress is implicated in retinal degeneration, particularly in retinitis pigmentosa, where it is considered to be a contributor to secondary cone death. The functional interaction between RdCVFL and TAU described here is the first characterization of the RdCVFL signaling pathway involved in neuronal cell death mediated by oxidative stress.
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Affiliation(s)
- Ram Fridlich
- double daggerInstitut de la Vision, INSERM UMR592, 17 rue Moreau, 75012 Paris, France
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Kalathur RKR, Gagniere N, Berthommier G, Poidevin L, Raffelsberger W, Ripp R, Léveillard T, Poch O. RETINOBASE: a web database, data mining and analysis platform for gene expression data on retina. BMC Genomics 2008; 9:208. [PMID: 18457592 PMCID: PMC2386825 DOI: 10.1186/1471-2164-9-208] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2007] [Accepted: 05/05/2008] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The retina is a multi-layered sensory tissue that lines the back of the eye and acts at the interface of input light and visual perception. Its main function is to capture photons and convert them into electrical impulses that travel along the optic nerve to the brain where they are turned into images. It consists of neurons, nourishing blood vessels and different cell types, of which neural cells predominate. Defects in any of these cells can lead to a variety of retinal diseases, including age-related macular degeneration, retinitis pigmentosa, Leber congenital amaurosis and glaucoma. Recent progress in genomics and microarray technology provides extensive opportunities to examine alterations in retinal gene expression profiles during development and diseases. However, there is no specific database that deals with retinal gene expression profiling. In this context we have built RETINOBASE, a dedicated microarray database for retina. DESCRIPTION RETINOBASE is a microarray relational database, analysis and visualization system that allows simple yet powerful queries to retrieve information about gene expression in retina. It provides access to gene expression meta-data and offers significant insights into gene networks in retina, resulting in better hypothesis framing for biological problems that can subsequently be tested in the laboratory. Public and proprietary data are automatically analyzed with 3 distinct methods, RMA, dChip and MAS5, then clustered using 2 different K-means and 1 mixture models method. Thus, RETINOBASE provides a framework to compare these methods and to optimize the retinal data analysis. RETINOBASE has three different modules, "Gene Information", "Raw Data System Analysis" and "Fold change system Analysis" that are interconnected in a relational schema, allowing efficient retrieval and cross comparison of data. Currently, RETINOBASE contains datasets from 28 different microarray experiments performed in 5 different model systems: drosophila, zebrafish, rat, mouse and human. The database is supported by a platform that is designed to easily integrate new functionalities and is also frequently updated. CONCLUSION The results obtained from various biological scenarios can be visualized, compared and downloaded. The results of a case study are presented that highlight the utility of RETINOBASE. Overall, RETINOBASE provides efficient access to the global expression profiling of retinal genes from different organisms under various conditions.
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Affiliation(s)
- Ravi Kiran Reddy Kalathur
- Laboratoire de Bioiformatique et de Genomique Integratives, Institut de Génétique et de Biologie Moléculaire et Céllulaire, CNRS/INSERM/ULP, BP 163, 67404 Illkirch Cedex, France.
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