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Papageorgiou L, Papa L, Papakonstantinou E, Mataragka A, Dragoumani K, Chaniotis D, Beloukas A, Iliopoulos C, Bongcam-Rudloff E, Chrousos GP, Kossida S, Eliopoulos E, Vlachakis D. SNP and Structural Study of the Notch Superfamily Provides Insights and Novel Pharmacological Targets against the CADASIL Syndrome and Neurodegenerative Diseases. Genes (Basel) 2024; 15:529. [PMID: 38790158 PMCID: PMC11120892 DOI: 10.3390/genes15050529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
The evolutionary conserved Notch signaling pathway functions as a mediator of direct cell-cell communication between neighboring cells during development. Notch plays a crucial role in various fundamental biological processes in a wide range of tissues. Accordingly, the aberrant signaling of this pathway underlies multiple genetic pathologies such as developmental syndromes, congenital disorders, neurodegenerative diseases, and cancer. Over the last two decades, significant data have shown that the Notch signaling pathway displays a significant function in the mature brains of vertebrates and invertebrates beyond neuronal development and specification during embryonic development. Neuronal connection, synaptic plasticity, learning, and memory appear to be regulated by this pathway. Specific mutations in human Notch family proteins have been linked to several neurodegenerative diseases including Alzheimer's disease, CADASIL, and ischemic injury. Neurodegenerative diseases are incurable disorders of the central nervous system that cause the progressive degeneration and/or death of brain nerve cells, affecting both mental function and movement (ataxia). There is currently a lot of study being conducted to better understand the molecular mechanisms by which Notch plays an essential role in the mature brain. In this study, an in silico analysis of polymorphisms and mutations in human Notch family members that lead to neurodegenerative diseases was performed in order to investigate the correlations among Notch family proteins and neurodegenerative diseases. Particular emphasis was placed on the study of mutations in the Notch3 protein and the structure analysis of the mutant Notch3 protein that leads to the manifestation of the CADASIL syndrome in order to spot possible conserved mutations and interpret the effect of these mutations in the Notch3 protein structure. Conserved mutations of cysteine residues may be candidate pharmacological targets for the potential therapy of CADASIL syndrome.
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Affiliation(s)
- Louis Papageorgiou
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
- Department of Biomedical Sciences, School of Health and Care Sciences, University of West Attica, Agioy Spyridonos, 12243 Egaleo, Greece; (D.C.); (A.B.)
| | - Lefteria Papa
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
| | - Eleni Papakonstantinou
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
- University Research Institute of Maternal and Child Health & Precision Medicine, National and Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, 11527 Athens, Greece;
| | - Antonia Mataragka
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
| | - Konstantina Dragoumani
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
| | - Dimitrios Chaniotis
- Department of Biomedical Sciences, School of Health and Care Sciences, University of West Attica, Agioy Spyridonos, 12243 Egaleo, Greece; (D.C.); (A.B.)
| | - Apostolos Beloukas
- Department of Biomedical Sciences, School of Health and Care Sciences, University of West Attica, Agioy Spyridonos, 12243 Egaleo, Greece; (D.C.); (A.B.)
| | - Costas Iliopoulos
- School of Informatics, Faculty of Natural & Mathematical Sciences, King’s College London, Bush House, Strand, London WC2R 2LS, UK;
| | - Erik Bongcam-Rudloff
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, 756 51 Uppsala, Sweden;
| | - George P. Chrousos
- University Research Institute of Maternal and Child Health & Precision Medicine, National and Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, 11527 Athens, Greece;
| | - Sofia Kossida
- IMGT, The International ImMunoGenetics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), 34000 Montpellier, France;
| | - Elias Eliopoulos
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
| | - Dimitrios Vlachakis
- Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece; (L.P.); (L.P.); (E.P.); (A.M.); (K.D.); (E.E.)
- University Research Institute of Maternal and Child Health & Precision Medicine, National and Kapodistrian University of Athens, “Aghia Sophia” Children’s Hospital, 11527 Athens, Greece;
- School of Informatics, Faculty of Natural & Mathematical Sciences, King’s College London, Bush House, Strand, London WC2R 2LS, UK;
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Verspoor K, Jimeno Yepes A, Cavedon L, McIntosh T, Herten-Crabb A, Thomas Z, Plazzer JP. Annotating the biomedical literature for the human variome. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2013; 2013:bat019. [PMID: 23584833 PMCID: PMC3676157 DOI: 10.1093/database/bat019] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This article introduces the Variome Annotation Schema, a schema that
aims to capture the core concepts and relations relevant to cataloguing and interpreting
human genetic variation and its relationship to disease, as described in the published
literature. The schema was inspired by the needs of the database curators of the
International Society for Gastrointestinal Hereditary Tumours (InSiGHT) database, but is
intended to have application to genetic variation information in a range of diseases. The
schema has been applied to a small corpus of full text journal publications on the subject
of inherited colorectal cancer. We show that the inter-annotator agreement on annotation
of this corpus ranges from 0.78 to 0.95 F-score across different entity
types when exact matching is measured, and improves to a minimum F-score
of 0.87 when boundary matching is relaxed. Relations show more variability in agreement,
but several are reliable, with the highest, cohort-has-size, reaching
0.90 F-score. We also explore the relevance of the schema to the InSiGHT
database curation process. The schema and the corpus represent an important new resource
for the development of text mining solutions that address relationships among patient
cohorts, disease and genetic variation, and therefore, we also discuss the role text
mining might play in the curation of information related to the human variome. The corpus
is available at http://opennicta.com/home/health/variome.
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Affiliation(s)
- Karin Verspoor
- National ICT Australia (NICTA), Victoria Research Laboratory, Level 2, Building 193, The University of Melbourne, Parkville VIC 3010, Australia.
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