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Ambroise J, Butoescu V, Robert A, Tombal B, Gala JL. Multiplex pyrosequencing assay using AdvISER-MH-PYRO algorithm: a case for rapid and cost-effective genotyping analysis of prostate cancer risk-associated SNPs. BMC MEDICAL GENETICS 2015; 16:42. [PMID: 26108440 PMCID: PMC4630960 DOI: 10.1186/s12881-015-0186-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 06/04/2015] [Indexed: 01/14/2023]
Abstract
Background Single Nucleotide Polymorphisms (SNPs) identified in Genome Wide Association Studies (GWAS) have generally moderate association with related complex diseases. Accordingly, Multilocus Genetic Risk Scores (MGRSs) have been computed in previous studies in order to assess the cumulative association of multiple SNPs. When several SNPs have to be genotyped for each patient, using successive uniplex pyrosequencing reactions increases analytical reagent expenses and Turnaround Time (TAT). While a set of several pyrosequencing primers could theoretically be used to analyze multiplex amplicons, this would generate overlapping primer-specific pyro-signals that are visually uninterpretable. Methods In the current study, two multiplex assays were developed consisting of a quadruplex (n=4) and a quintuplex (n=5) polymerase chain reaction (PCR) each followed by multiplex pyrosequencing analysis. The aim was to reliably but rapidly genotype a set of prostate cancer-related SNPs (n=9). The nucleotide dispensation order was selected using SENATOR software. Multiplex pyro-signals were analyzed using the new AdvISER-MH-PYRO software based on a sparse representation of the signal. Using uniplex assays as gold standard, the concordance between multiplex and uniplex assays was assessed on DNA extracted from patient blood samples (n = 10). Results All genotypes (n=90) generated with the quadruplex and the quintuplex pyroquencing assays were perfectly (100 %) concordant with uniplex pyrosequencing. Using multiplex genotyping approach for analyzing a set of 90 patients allowed reducing TAT by approximately 75 % (i.e., from 2025 to 470 min) while reducing reagent consumption and cost by approximately 70 % (i.e., from ∼229 US$ /patient to ∼64 US$ /patient). Conclusions This combination of quadruplex and quintuplex pyrosequencing and PCR assays enabled to reduce the amount of DNA required for multi-SNP analysis, and to lower the global TAT and costs of SNP genotyping while providing results as reliable as uniplex analysis. Using this combined multiplex approach also substantially reduced the production of waste material. These genotyping assays appear therefore to be biologically, economically and ecologically highly relevant, being worth to be integrated in genetic-based predictive strategies for better selecting patients at risk for prostate cancer. In addition, the same approach could now equally be transposed to other clinical/research applications relying on the computation of MGRS based on multi-SNP genotyping.
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Affiliation(s)
- Jérôme Ambroise
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos chapelle-aux-champs B1.30.24, Brussels, 1200, Belgium
| | - Valentina Butoescu
- Service d'Urologie, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, 1200, Belgium
| | - Annie Robert
- Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, 1200, Belgium.
| | - Bertrand Tombal
- Service d'Urologie, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, 1200, Belgium.
| | - Jean-Luc Gala
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos chapelle-aux-champs B1.30.24, Brussels, 1200, Belgium.
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Pyrosequencing for the quantitative assessment of 8-oxodG bypass DNA synthesis. DNA Repair (Amst) 2014; 22:147-52. [PMID: 25200840 DOI: 10.1016/j.dnarep.2014.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Revised: 06/20/2014] [Accepted: 08/19/2014] [Indexed: 10/24/2022]
Abstract
Translesion synthesis (TLS) with specialized DNA polymerases allows dealing with a base lesion on the template strand during DNA replication; a base is inserted opposite the lesion, correctly or incorrectly, depending on the lesion, the involved DNA polymerase(s) and the sequence context. The major oxidized DNA base 8-oxo-7, 8-dihydro-2'-deoxyguanosine (8-oxodG) is highly mutagenic due to its ability to pair with either cytosine or adenine during DNA synthesis, depending on its conformation and involved DNA polymerases. To measure the correct or mutagenic outcome of lesion bypass, an original quantitative pyrosequencing method was developed and analytically validated. The method was applied to the study of DNA synthesis fidelity through an 8-oxodG or an undamaged guanine. After an in vitro primer-extension through 8-oxodG in the presence of the four deoxynucleotides triphosphates and a total nuclear protein extract, obtained from normal human intestinal epithelial cells (FHs 74 Int cell line), the reaction products were amplified by polymerase chain reaction and analyzed by pyrosequencing to measure nucleotides inserted opposite the lesion. The 8-oxodG bypass fidelity of FHs 74 Int cells nuclear extract is about 85.3%. We calculated within-day and total precisions for both 8-oxodG (2.8% and 2.8%, respectively) and undamaged templates (1.0% and 1.1%, respectively). We also demonstrated that only cytosine is incorporated opposite a normal guanine and that both cytosine and adenine can be incorporated opposite an 8-oxodG lesion. The proposed method is straightforward, fast, reproducible and easily adaptable to other sequences and lesions. It thus has a wide range of applications in the biological field, notably to elucidate TLS mechanisms and modulators.
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Ambroise J, Deccache Y, Irenge L, Savov E, Robert A, Gala JL. Amplicon identification using SparsE representation of multiplex PYROsequencing signal (AdvISER-M-PYRO): application to bacterial resistance genotyping. Bioinformatics 2014; 30:3590-7. [PMID: 25173420 DOI: 10.1093/bioinformatics/btu516] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION Pyrosequencing is a cost-effective DNA sequencing technology that has many applications, including rapid genotyping of a broad spectrum of bacteria. When molecular typing requires to genotype multiple DNA stretches, several pyrosequencing primers could be used simultaneously but this would create overlapping primer-specific signals, which are visually uninterpretable. Accordingly, the objective was to develop a new method for signal processing (AdvISER-M-PYRO) to automatically analyze and interpret multiplex pyrosequencing signals. In parallel, the nucleotide dispensation order was improved by developing the SENATOR ('SElecting the Nucleotide dispensATion Order') algorithm. RESULTS In this proof-of-concept study, quintuplex pyrosequencing was applied on eight bacterial DNA and targeted genetic alterations underlying resistance to β-lactam antibiotics. Using SENATOR-driven dispensation order, all genetic variants (31 of 31; 100%) were correctly identified with AdvISER-M-PYRO. Among nine expected negative results, there was only one false positive that was tagged with an 'unsafe' label.
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Affiliation(s)
- Jérôme Ambroise
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
| | - Yann Deccache
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
| | - Leonid Irenge
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
| | - Encho Savov
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
| | - Annie Robert
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
| | - Jean-Luc Gala
- Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium Center for Applied Molecular Technologies (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Defence Laboratories Department, Belgian Armed Forces, 1800 Vilvoorde, Belgium, Department of Epidemiology and Hygiene, Military Medical Academy of Sofia, 1000 Sofia, Bulgaria and Epidemiology and Biostatistics Department (EPID), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Clos Chapelle-aux-Champs 30, 1200 Bruxelles, Belgium
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