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Fauqueux J, Meneboo JP, Caumes R, Thomès L, Yahya EA, Thuillier C, Boudry E, Villenet C, Figeac M, Ghoumid J, Smol T. Combining long-read DNA and RNA sequencing to enhance molecular understanding of structural variations leading to copy gains. Comput Struct Biotechnol J 2025; 27:1732-1740. [PMID: 40421160 PMCID: PMC12104687 DOI: 10.1016/j.csbj.2025.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2025] [Revised: 04/22/2025] [Accepted: 04/23/2025] [Indexed: 05/28/2025] Open
Abstract
Structural variants (SVs) significantly contribute to human disease, but their complexity often makes accurate characterization difficult with conventional methods. Advances in long-read sequencing (LRS) offer potential by spanning kilobases and directly resolving SVs. In this study, we examined two individuals with unresolved SVs. LRS on both DNA and cDNA provided single-base resolution of all breakpoint junctions, revealing detailed rearrangement structures and underlying mechanisms. Transcriptomic analyses identified abnormal fusion transcripts and clarified their functional consequences, including haploinsufficiency and potential dominant-negative effects. In one case, a triplication affecting the ZMYM2 gene was precisely mapped, revealing a truncated variant that may escape nonsense-mediated decay. In the second case, a highly complex reciprocal translocation involving RERE and FHAD1 disrupted RERE expression, with Hi-C data showing minimal impact on enhancer-promoter interactions. Due to their complexity, these SVs were not fully resolved by standard methods. By integrating LRS with transcriptomic and chromosomal conformation analyses, we provided a comprehensive understanding of SV formation and its pathogenic impact. Our findings emphasize the need for advanced genomic approaches to resolve complex SVs, enhance diagnostic accuracy, and inform clinical management.
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Affiliation(s)
- Jade Fauqueux
- ULR 7364—RADEME, Univ. Lille, FHU-G4 Génomique, Lille F-59000, France
| | - Jean-Pascal Meneboo
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UAR 2014-PLBS, FHU-G4 Génomique, Lille F-59000, France
| | - Roseline Caumes
- ULR 7364—RADEME, Univ. Lille, FHU-G4 Génomique, Lille F-59000, France
- CHU Lille, Clinique de Génétique, Lille, Lille F-59000, France
| | - Luc Thomès
- ULR 7364—RADEME, Univ. Lille, FHU-G4 Génomique, Lille F-59000, France
| | - Emilie Ait Yahya
- CHU Lille, Cellule de Bioinformatique, Plateau Commun de Séquençage, CHU Lille, Lille F-59000, France
| | | | - Elise Boudry
- CHU Lille, Institut de Génétique Médicale, Lille, Lille F-59000, France
| | - Celine Villenet
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UAR 2014-PLBS, FHU-G4 Génomique, Lille F-59000, France
| | - Martin Figeac
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UAR 2014-PLBS, FHU-G4 Génomique, Lille F-59000, France
| | - Jamal Ghoumid
- ULR 7364—RADEME, Univ. Lille, FHU-G4 Génomique, Lille F-59000, France
- CHU Lille, Clinique de Génétique, Lille, Lille F-59000, France
| | - Thomas Smol
- ULR 7364—RADEME, Univ. Lille, FHU-G4 Génomique, Lille F-59000, France
- CHU Lille, Institut de Génétique Médicale, Lille, Lille F-59000, France
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Luo X, Zou Q. Identifying the "stripe" transcription factors and cooperative binding related to DNA methylation. Commun Biol 2024; 7:1265. [PMID: 39367138 PMCID: PMC11452537 DOI: 10.1038/s42003-024-06992-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 09/30/2024] [Indexed: 10/06/2024] Open
Abstract
DNA methylation plays a critical role in gene regulation by modulating the DNA binding of transcription factors (TFs). This study integrates TFs' ChIP-seq profiles with WGBS profiles to investigate how DNA methylation affects protein interactions. Statistical methods and a 5-letter DNA motif calling model have been developed to characterize DNA sequences bound by proteins, while considering the effects of DNA modifications. By employing these methods, 79 significant universal "stripe" TFs and cofactors (USFs), 2360 co-binding protein pairs, and distinct protein modules associated with various DNA methylation states have been identified. The USFs hint a regulatory hierarchy within these protein interactions. Proteins preferentially bind to non-CpG sites in methylated regions, indicating binding affinity is not solely CpG-dependent. Proteins involved in methylation-specific USFs and cobinding pairs play essential roles in promoting and sustaining DNA methylation through interacting with DNMTs or inhibiting TET binding. These findings underscore the interplay between protein binding and methylation, offering insights into epigenetic regulation in cellular biology.
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Affiliation(s)
- Ximei Luo
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Quan Zou
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
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Levine J, Lobyntseva A, Shazman S, Hakim F, Gozes I. Longitudinal Genotype-Phenotype (Vineland Questionnaire) Characterization of 15 ADNP Syndrome Cases Highlights Mutated Protein Length and Structural Characteristics Correlation with Communicative Abilities Accentuated in Males. J Mol Neurosci 2024; 74:15. [PMID: 38282129 DOI: 10.1007/s12031-024-02189-4] [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] [Accepted: 01/08/2024] [Indexed: 01/30/2024]
Abstract
Activity-dependent neuroprotective protein (ADNP) is essential for neurodevelopment and de novo mutations in ADNP cause the ADNP syndrome. From brain pathologies point of view, tauopathy has been demonstrated at a young age, implying stunted development coupled with early/accelerated neurodegeneration. Given potential genotype-phenotype differences and age-dependency, we have assessed here a cohort of 15 individuals (1-27-year-old), using 1-3 longitudinal parent (caretaker) interview/s (Vineland 3 questionnaire) over several years. Our results indicated developmental delays, or even developmental arrests, coupled with potential spurts of development at early ages. Severe outcomes correlated with the truncating high impact mutation, in other words, the remaining mutated protein length as well as with the tested individual age, corroborating the hypothesis of developmental delays coupled with accelerated aging. A significant correlation was noted between mutated protein length and communication, implying a high impact of ADNP on communicative skills. Additionally, correlations were discovered between the two previously described epi-genetic signatures in ADNP emphasizing aberrant acquisition of motor behaviors, with truncating mutations around the nuclear localization signal being mostly affected. Finally, all individuals seem to acquire an age equivalent of 1-6 years, requiring disease modification treatment, such as the ADNP-derived drug candidate, NAP (davunetide), which has recently shown efficacy in women suffering from the neurodegenerative disorder, progressive supranuclear palsy (PSP), a late-onset tauopathy.
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Affiliation(s)
- Jospeh Levine
- The Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 6997801, Israel
- Psychiatric Division, Ben Gurion University of the Negev, Beersheba, Israel
| | - Alexandra Lobyntseva
- The Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Shula Shazman
- Department of Mathematics and Computer Science, The Open University of Israel, Ra'anana, Israel
| | | | - Illana Gozes
- The Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, 6997801, Israel.
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