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Saei H, Morinière V, Heidet L, Gribouval O, Lebbah S, Tores F, Mautret-Godefroy M, Knebelmann B, Burtey S, Vuiblet V, Antignac C, Nitschké P, Dorval G. VNtyper enables accurate alignment-free genotyping of MUC1 coding VNTR using short-read sequencing data in autosomal dominant tubulointerstitial kidney disease. iScience 2023; 26:107171. [PMID: 37456840 PMCID: PMC10338300 DOI: 10.1016/j.isci.2023.107171] [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: 03/03/2023] [Revised: 05/06/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023] Open
Abstract
The human genome comprises approximately 3% of tandem repeats with variable length (VNTR), a few of which have been linked to human rare diseases. Autosomal dominant tubulointerstitial kidney disease-MUC1 (ADTKD-MUC1) is caused by specific frameshift variants in the coding VNTR of the MUC1 gene. Calling variants from VNTR using short-read sequencing (SRS) is challenging due to poor read mappability. We developed a computational pipeline, VNtyper, for reliable detection of MUC1 VNTR pathogenic variants and demonstrated its clinical utility in two distinct cohorts: (1) a historical cohort including 108 families with ADTKD and (2) a replication naive cohort comprising 2,910 patients previously tested on a panel of genes involved in monogenic renal diseases. In the historical cohort all cases known to carry pathogenic MUC1 variants were re-identified, and a new 25bp-frameshift insertion in an additional mislaid family was detected. In the replication cohort, we discovered and validated 30 new patients.
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Affiliation(s)
- Hassan Saei
- Laboratoire des Maladies Rénales Héréditaires, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
| | - Vincent Morinière
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Laurence Heidet
- Laboratoire des Maladies Rénales Héréditaires, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
- Service de Néphrologie Pédiatrique, Centre de Référence MARHEA, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Olivier Gribouval
- Laboratoire des Maladies Rénales Héréditaires, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
| | - Said Lebbah
- Département de Santé Publique, Unité de Recherche Clinique, Hôpital Pitié-Salpêtrière, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Frederic Tores
- Plateforme Bio-informatique, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
| | - Manon Mautret-Godefroy
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Bertrand Knebelmann
- Service de Néphrologie, Centre de Référence MARHEA, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Stéphane Burtey
- Inserm, C2VN, INRAE, C2VN, Aix-Marseille Université, Marseille, France
- Centre de Néphrologie et Transplantation Rénale, AP-HM Hôpital de la Conception, Marseille, France
| | - Vincent Vuiblet
- Service de Néphrologie, CHU de Reims, Reims, France
- Service de Pathologie, CHU De Reims, Reims, France
- Institut d'Intelligence Artificielle en Santé, Université de Reims Champagne-Ardenne et CHU de Reims, Reims, France
| | - Corinne Antignac
- Laboratoire des Maladies Rénales Héréditaires, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
| | - Patrick Nitschké
- Plateforme Bio-informatique, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
| | - Guillaume Dorval
- Laboratoire des Maladies Rénales Héréditaires, Inserm UMR 1163, Institut Imagine, Université Paris Cité, Paris, France
- Service de Médecine Génomique des Maladies Rares, Hôpital Necker-Enfants Malades, Assistance publique, Hôpitaux de Paris (AP-HP), Paris, France
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Stacey MW, Sabuncu AC, Beskok A. Dielectric characterization of costal cartilage chondrocytes. Biochim Biophys Acta Gen Subj 2013; 1840:146-52. [PMID: 24016606 DOI: 10.1016/j.bbagen.2013.08.031] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2013] [Revised: 07/24/2013] [Accepted: 08/29/2013] [Indexed: 11/18/2022]
Abstract
BACKGROUND Chondrocytes respond to biomechanical and bioelectrochemical stimuli by secreting appropriate extracellular matrix proteins that enable the tissue to withstand the large forces it experiences. Although biomechanical aspects of cartilage are well described, little is known of the bioelectrochemical responses. The focus of this study is to identify bioelectrical characteristics of human costal cartilage cells using dielectric spectroscopy. METHODS Dielectric spectroscopy allows non-invasive probing of biological cells. An in house computer program is developed to extract dielectric properties of human costal cartilage cells from raw cell suspension impedance data measured by a microfluidic device. The dielectric properties of chondrocytes are compared with other cell types in order to comparatively assess the electrical nature of chondrocytes. RESULTS The results suggest that electrical cell membrane characteristics of chondrocyte cells are close to cardiomyoblast cells, cells known to possess an array of active ion channels. The blocking effect of the non-specific ion channel blocker gadolinium is tested on chondrocytes with a significant reduction in both membrane capacitance and conductance. CONCLUSIONS We have utilized a microfluidic chamber to mimic biomechanical events through changes in bioelectrochemistry and described the dielectric properties of chondrocytes to be closer to cells derived from electrically excitably tissues. GENERAL SIGNIFICANCE The study describes dielectric characterization of human costal chondrocyte cells using physical tools, where results and methodology can be used to identify potential anomalies in bioelectrochemical responses that may lead to cartilage disorders.
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Affiliation(s)
- Michael W Stacey
- Frank Reidy Research Center for Bioelectrics, Old Dominion University, Norfolk, VA 23508, USA
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Stacey MW, Grubbs J, Asmar A, Pryor J, Elsayed-Ali H, Cao W, Beskok A, Dutta D, Darby DA, Fecteau A, Werner A, Kelly RE. Decorin expression, straw-like structure, and differentiation of human costal cartilage. Connect Tissue Res 2012; 53:415-21. [PMID: 22490077 DOI: 10.3109/03008207.2012.684113] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Costal cartilage is much understudied compared with the load-bearing cartilages. Abnormally grown costal cartilages are associated with the inherited chest wall deformities pectus excavatum and pectus carinatum resulting in sunken and pigeon chests, respectively. A lack of understanding of the ultrastructural and molecular biology of costal cartilage is a major confounder in predicting causes and outcomes of these disorders. This study analyzed the structure of marginal human costal cartilage (ribs 6-10) through scanning electron and atomic force microscopes and identified the presence of straw-like structures running longitudinally. We also demonstrated that chondrocytes tend to occur singly or as doublets and that centrally located cells produce high levels of aggrecan compared with more peripherally located cells measured using immunohistochemistry. Gene expression from mRNA extracted from cartilage showed high levels of decorin expression, likely associated with the large, complex tubular structures running through this cartilage type. COL2A1, ACAN, and TIMP1 also showed higher levels of expression compared with ACTB. Analysis of gene expression ratios demonstrate that costal cartilage is under differentiated compared with published ratios for articular cartilage, likely due to the vastly different biomechanical environments of each cartilage type. Further studies need to establish whether findings described here from the costal margins are significantly different than the cartilage of the "true ribs" and how these values change with age.
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Affiliation(s)
- M W Stacey
- Frank Reidy Research Center for Bioelectrics, Old Dominion University, Norfolk, VA 23508, USA.
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