Single Circulating Fetal Trophoblastic Cells Eligible for Non Invasive Prenatal Diagnosis: the Exception Rather than the Rule

Autor: Cyril Goizet, Patrick Calvas, Marie-Claire Vincent, Claire Guissart, Virginie Dorian, Nicolas Molinari, Caroline Rooryck-Thambo, Cathy Liautard-Haag, Annabelle Chaussenot, Romain Favre, Catherine Alix-Panabières, Sandra Pierredon, Laetitia Monteil, Philippe Khau Van Kien, Mélanie Fradin, Amandine Boureau-Wirth, Marion Imbert-Bouteille, Emmanuelle Haquet, Elsa Le Boette, Yuliya Petrov, Jacques Puechberty, Cécile Zordan, Céline Moutou, Laure Cayrefourcq, Cécile Rouzier, Marjolaine Willems, Claire Miry
Přispěvatelé: Laboratoire de génétique des maladies rares. Pathologie moleculaire, etudes fonctionnelles et banque de données génétiques (LGMR), Université Montpellier 1 (UM1)-IFR3, Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), CHU Strasbourg, Département de génétique médicale, maladies rares et médecine personnalisée [CHRU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital de la Colombière, CHU de Bordeaux Pellegrin [Bordeaux], Dpt génétique médicale [CHU Nice], Centre Hospitalier Universitaire de Nice (CHU Nice), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Les Hôptaux universitaires de Strasbourg (HUS), Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Centre hospitalier Saint-Brieuc, Salvy-Córdoba, Nathalie
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0301 basic medicine
MESH: Trophoblasts
Molecular biology
lcsh:Medicine
Diseases
Disease
Cell Separation
0302 clinical medicine
Trinucleotide Repeats
Prenatal Diagnosis
lcsh:Science
MESH: High-Throughput Nucleotide Sequencing
Genetics
Whole Genome Amplification
030219 obstetrics & reproductive medicine
Multidisciplinary
Molecular medicine
High-Throughput Nucleotide Sequencing
Trophoblasts
Huntington Disease
Microsatellite
Single-Cell Analysis
Biotechnology
MESH: Trinucleotide Repeats
Cell biology
Prenatal diagnosis
Biology
[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics
MESH: Cell Separation
Article
03 medical and health sciences
Medical research
Fetus
Multiplex polymerase chain reaction
Humans
Allele
MESH: Prenatal Diagnosis
Genotyping
MESH: Humans
Point mutation
lcsh:R
Health care
MESH: Fetus
MESH: Huntington Disease
030104 developmental biology
[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics
Feasibility Studies
lcsh:Q
MESH: Feasibility Studies
MESH: Single-Cell Analysis
Zdroj: Scientific Reports
Scientific Reports, 2020, 10 (1), pp.9861. ⟨10.1038/s41598-020-66923-9⟩
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
ISSN: 2045-2322
DOI: 10.1038/s41598-020-66923-9⟩
Popis: Non-Invasive Prenatal Diagnosis (NIPD), based on the analysis of circulating cell-free fetal DNA (cff-DNA), is successfully implemented for an increasing number of monogenic diseases. However, technical issues related to cff-DNA characteristics remain, and not all mutations can be screened with this method, particularly triplet expansion mutations that frequently concern prenatal diagnosis requests. The objective of this study was to develop an approach to isolate and analyze Circulating Trophoblastic Fetal Cells (CFTCs) for NIPD of monogenic diseases caused by triplet repeat expansion or point mutations. We developed a method for CFTC isolation based on DEPArray sorting and used Huntington’s disease as the clinical model for CFTC-based NIPD. Then, we investigated whether CFTC isolation and Whole Genome Amplification (WGA) could be used for NIPD in couples at risk of transmitting different monogenic diseases. Our data show that the allele drop-out rate was 3-fold higher in CFTCs than in maternal cells processed in the same way. Moreover, we give new insights into CFTCs by compiling data obtained by extensive molecular testing by microsatellite multiplex PCR genotyping and by WGA followed by mini-exome sequencing. CFTCs appear to be often characterized by a random state of genomic degradation.
Databáze: OpenAIRE