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Bendixen KK, Forsberg-Pho S, Dazio G, Hansen EE, Eriksen SK, Epistolio S, Merlo E, Boldorini R, Venesio T, Movilia A, Caprera C, Arnspang EC, Børgesen M, Christensen UB, Frattini M, Petersen RK. One-instrument, objective microsatellite instability analysis using high-resolution melt. PLoS One 2024; 19:e0302274. [PMID: 38662796 PMCID: PMC11045061 DOI: 10.1371/journal.pone.0302274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
In recent years, immune checkpoint inhibitors have proved immense clinical progression in the treatment of certain cancers. The efficacy of immune checkpoint inhibitors is correlated with mismatch repair system deficiency and is exceptionally administered based exclusively on this biological mechanism independent of the cancer type. The promising effect of immune checkpoint inhibitors has left an increasing demand for analytical tools evaluating the mismatch repair status. The analysis of microsatellite instability (MSI), reflecting an indirect but objective manner the inactivation of the mismatch repair system, plays several roles in clinical practice and, therefore, its evaluation is of high relevance. Analysis of MSI by PCR followed by fragment analysis on capillary electrophoresis remains the gold standard method for detection of a deficient mismatch repair system and thereby treatment with immune checkpoint inhibitors. Novel technologies have been applied and concepts such as tumor mutation burden have been introduced. However, to date, most of these technologies require high costs or the need of matched non-tumor tissue as internal comparator. In this study, we present a novel, one-instrument, fast, and objective method for the detection of MSI (MicroSight® MSI 1-step HRM Analysis), which does not depend on the use of matched non-tumor tissue. The assay analyzes five well-described mononucleotide microsatellite sequences by real-time PCR followed by high-resolution melt and evaluates microsatellite length variations via PCR product melting profiles. The assay was evaluated using two different patient cohorts and evaluation included several DNA extraction methodologies, two different PCR platforms, and an inter-laboratory ring study. The MicroSight® MSI assay showed a high repeatability regardless of DNA extraction method and PCR platform, and a 100% agreement of the MSI status with PCR fragment analysis methods applied as clinical comparator.
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Affiliation(s)
| | | | - Giulia Dazio
- Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland
| | | | | | - Samantha Epistolio
- Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland
| | - Elisabetta Merlo
- Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland
| | - Renzo Boldorini
- Unit of Pathology, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Tiziana Venesio
- Candiolo Cancer Institute, Fondazione del Piemonte per l’Oncologia, Candiolo, Italy
| | - Alessandra Movilia
- Hospital of Legnano, SS Biologia Molecolare, UO Anatomia Patologica, Azienda Socio Sanitaria Territoriale Ovest Milanese, Ospedale di Legnano, Legnano, Italy
| | - Cecilia Caprera
- Laboratory of Molecular Oncology and Predictive Medicine, Pathology Unit, Azienda Ospedaliera Santa Maria di Terni, Terni, Italy
| | - Eva Christensen Arnspang
- Department of Green Technology, Faculty of Engineering, University of Southern Denmark, Odense, Denmark
| | | | | | - Milo Frattini
- Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland
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2
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Ortega-Pinazo J, Pacheco-Rodríguez MJ, Serrano-Castro PJ, Martínez B, Pinto-Medel MJ, Gómez-Zumaquero JM, Lago-Sampedro A, García-Díaz B, Estivill-Torrús G, Emilio Ferro Gallego P. Comparing RNA extraction methods to face the variations in RNA quality using two human biological matrices. Mol Biol Rep 2023; 50:9263-9271. [PMID: 37812354 DOI: 10.1007/s11033-023-08761-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 08/16/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Nucleic acids, RNA among them, are widely used in biomedicine and Biotechnology. Because of their susceptibility to degradation by RNases, the handling and extraction process of RNA from cells and tissues require specialized personnel and standardized methods to guarantee high purity and integrity. Due to the diversity of techniques found in the market, a comparative study between different RNA extraction methods is useful to facilitate the best choice for the researcher or in research service platforms such as biobanks to see the traceability of the samples. METHODS AND RESULTS In this study, we have compared seven different RNA extraction methods: manual (TRIzol™), semiautomated (QIAGEN™, Bio-Rad, Monarch®, and Canvax™), and fully automated (QIAcube™ and Maxwell®) processes, from two biological matrices: human Jurkat T cells and peripheral blood mononuclear cells (PBMC). Results showed marked differences in the RNA quality and functionality according to the method employed for RNA extraction and the matrix used. DISCUSSION QIAcube™ and semi-automated extraction methods were perceived as the best options because of their lower variability, good functionality, and lower cost (P < 0.001). These data contribute to facilitating researchers or research service platforms (Biobanks) in decision-making practices and emphasize the relevance of the selection of the RNA extraction method in each experimental procedure or traceability study to guarantee both quality standards and its reproducibility.
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Affiliation(s)
- J Ortega-Pinazo
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - M J Pacheco-Rodríguez
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - P J Serrano-Castro
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - B Martínez
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Intercentros de Oncología Médica, Hospitales Universitarios Regional de Málaga y Virgen de la Victoria, Málaga, Spain
| | - M J Pinto-Medel
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - J M Gómez-Zumaquero
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - A Lago-Sampedro
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- ECAI de Genómica, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
| | - B García-Díaz
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Guillermo Estivill-Torrús
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Unidad Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain.
| | - Pedro Emilio Ferro Gallego
- Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Biobank ECAI, Instituto de Investigación Biomédica de Málaga y Plataforma de Nanomedicina (IBIMA Plataforma BIONAND), Málaga, Spain.
- Unidad Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
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Zappe K, Pirker C, Miedl H, Schreiber M, Heffeter P, Pfeiler G, Hacker S, Haslik W, Spiegl-Kreinecker S, Cichna-Markl M. Discrimination between 34 of 36 Possible Combinations of Three C>T SNP Genotypes in the MGMT Promoter by High Resolution Melting Analysis Coupled with Pyrosequencing Using A Single Primer Set. Int J Mol Sci 2021; 22:ijms222212527. [PMID: 34830407 PMCID: PMC8621402 DOI: 10.3390/ijms222212527] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 11/12/2021] [Indexed: 11/22/2022] Open
Abstract
Due to its cost-efficiency, high resolution melting (HRM) analysis plays an important role in genotyping of candidate single nucleotide polymorphisms (SNPs). Studies indicate that HRM analysis is not only suitable for genotyping individual SNPs, but also allows genotyping of multiple SNPs in one and the same amplicon, although with limited discrimination power. By targeting the three C>T SNPs rs527559815, rs547832288, and rs16906252, located in the promoter of the O6-methylguanine-DNA methyltransferase (MGMT) gene within a distance of 45 bp, we investigated whether the discrimination power can be increased by coupling HRM analysis with pyrosequencing (PSQ). After optimizing polymerase chain reaction (PCR) conditions, PCR products subjected to HRM analysis could directly be used for PSQ. By analyzing oligodeoxynucleotide controls, representing the 36 theoretically possible variant combinations for diploid human cells (8 triple-homozygous, 12 double-homozygous, 12 double-heterozygous and 4 triple-heterozygous combinations), 34 out of the 36 variant combinations could be genotyped unambiguously by combined analysis of HRM and PSQ data, compared to 22 variant combinations by HRM analysis and 16 variant combinations by PSQ. Our approach was successfully applied to genotype stable cell lines of different origin, primary human tumor cell lines from glioma patients, and breast tissue samples.
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Affiliation(s)
- Katja Zappe
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria;
| | - Christine Pirker
- Department of Medicine I, Institute of Cancer Research, Medical University of Vienna, 1090 Vienna, Austria; (C.P.); (P.H.)
- Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria; (H.M.); (M.S.)
| | - Heidi Miedl
- Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria; (H.M.); (M.S.)
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria
| | - Martin Schreiber
- Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria; (H.M.); (M.S.)
- Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria
| | - Petra Heffeter
- Department of Medicine I, Institute of Cancer Research, Medical University of Vienna, 1090 Vienna, Austria; (C.P.); (P.H.)
- Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria; (H.M.); (M.S.)
| | - Georg Pfeiler
- Department of Obstetrics and Gynecology, Division of Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria; (G.P.); (W.H.)
| | - Stefan Hacker
- Department of Plastic and Reconstructive Surgery, Medical University of Vienna, 1090 Vienna, Austria;
- Department of Plastic, Reconstructive and Aesthetic Surgery, Landesklinikum Wiener Neustadt, 2700 Wiener Neustadt, Austria
| | - Werner Haslik
- Department of Obstetrics and Gynecology, Division of Gynecology and Gynecological Oncology, Medical University of Vienna, 1090 Vienna, Austria; (G.P.); (W.H.)
| | - Sabine Spiegl-Kreinecker
- Department of Neurosurgery, Medical Faculty, Kepler University Hospital GmbH, Johannes Kepler University Linz, 4040 Linz, Austria;
| | - Margit Cichna-Markl
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria;
- Correspondence:
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Hulaniuk ML, Corach D, Trinks J, Caputo M. A simple and rapid approach for human herpesvirus type 8 subtype characterization using single base extension. Lett Appl Microbiol 2021; 73:308-317. [PMID: 34048079 DOI: 10.1111/lam.13515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 11/28/2022]
Abstract
Sequence analysis of the ORFK1 of human herpesvirus type 8 (HHV-8) allows the identification of six major subtypes (A-F), which are related to human migrations and the clinical progression of Kaposi's sarcoma. Sequencing and subsequent phylogenetic analysis of ORFK1 is considered to be the most reliable method for HHV-8 genotyping. However, it exhibits challenges and limitations. Herein, we designed and validated a single base extension (SBE) protocol for characterization of HHV-8 ORFK1 subtypes. A nested polymerase chain reaction (PCR) protocol was carried out to amplify a small 294-bp PCR product encompassing four single nucleotide polymorphisms at positions 360, 406, 465 and 527 of the HHV-8 genome. Finally, a multiplex SBE technique was developed and validated in 20 samples previously genotyped by phylogenetic analysis. The patterns obtained in this reaction could successfully discriminate between ORFK1 subtypes. The typing results obtained completely matched with those of the 'gold standard' method in all analysed samples. This method can reliably identify HHV-8 subtypes A, B and C, which are the most prevalent ones worldwide, and the remaining subtypes (D, E and F). SBE can be useful as an efficient, rapid and low-cost screening method for viral genotyping in a single tube, particularly samples with low-quality DNA, and with easy data interpretation.
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Affiliation(s)
- M L Hulaniuk
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano (HIBA), Buenos Aires, Argentina
| | - D Corach
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.,Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Genética Forense y Servicio de Huellas Digitales Genéticas, Buenos Aires, Argentina
| | - J Trinks
- Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano (HIBA), Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - M Caputo
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.,Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Genética Forense y Servicio de Huellas Digitales Genéticas, Buenos Aires, Argentina
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5
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Abstract
Polymerase chain reaction (PCR) is a very powerful tool for clinical gene detection. Multiplex PCR especially improves the throughput of this technology. However, it is often necessary to employ techniques such as electrophoresis, mass spectrometry, or sequencing after multiplex PCR amplification for product identification, which requires additional equipment and has high risks of contamination. In this work, we developed a high-throughput two-dimensional (2D) PCR technology that can identify multiple target genes simultaneously in just one closed tube and within a relatively short time by using both fluorescence and the melting temperature (Tm). As an example, a method detecting 9 human papillomavirus (HPV) subtypes and reference genes in a single tube was successfully established using 2D PCR. If designed properly, 2D PCR is believed to have the capability to identify more than 30 genes in one closed tube at a time. This method is particularly suitable for distinguishing microorganisms, single-nucleotide polymorphisms, and the methylation of genes and will be of great help to clinical work.
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Affiliation(s)
- Yuxia Zhan
- Comprehensive Laboratory , The Third Affiliated Hospital of Soochow University , Changzhou , Jiangsu 213003 , China.,Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research , Changzhou , Jiangsu 213003 , China
| | - Jun Zhang
- Comprehensive Laboratory , The Third Affiliated Hospital of Soochow University , Changzhou , Jiangsu 213003 , China.,Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research , Changzhou , Jiangsu 213003 , China
| | - Shuang Yao
- Comprehensive Laboratory , The Third Affiliated Hospital of Soochow University , Changzhou , Jiangsu 213003 , China.,Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research , Changzhou , Jiangsu 213003 , China
| | - Guanghua Luo
- Comprehensive Laboratory , The Third Affiliated Hospital of Soochow University , Changzhou , Jiangsu 213003 , China.,Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research , Changzhou , Jiangsu 213003 , China
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Abstract
Colorectal cancer (CRC) remains a major contributor to the number of cancer-related deaths that occur annually worldwide. With the development of molecular biology methods, an increasing number of molecular biomarkers have been identified and investigated. CRC is believed to result from an accumulation of epigenetic changes, and detecting aberrant DNA methylation patterns is useful for both the early diagnosis and prognosis of CRC. Numerous studies are focusing on the development of DNA methylation detection methods or DNA methylation panels. Thus, this review will discuss the commonly used techniques and technologies to evaluate DNA methylation, their merits and deficiencies as well as the prospects for new methods.
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Affiliation(s)
- Yu-Xia Zhan
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, the Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu Province, China
| | - Guang-Hua Luo
- Comprehensive Laboratory, Changzhou Key Lab of Individualized Diagnosis and Treatment Associated with High Technology Research, the Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu Province, China
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7
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Słomka M, Sobalska-Kwapis M, Wachulec M, Bartosz G, Strapagiel D. High Resolution Melting (HRM) for High-Throughput Genotyping-Limitations and Caveats in Practical Case Studies. Int J Mol Sci 2017; 18:ijms18112316. [PMID: 29099791 PMCID: PMC5713285 DOI: 10.3390/ijms18112316] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 10/06/2017] [Accepted: 10/31/2017] [Indexed: 01/02/2023] Open
Abstract
High resolution melting (HRM) is a convenient method for gene scanning as well as genotyping of individual and multiple single nucleotide polymorphisms (SNPs). This rapid, simple, closed-tube, homogenous, and cost-efficient approach has the capacity for high specificity and sensitivity, while allowing easy transition to high-throughput scale. In this paper, we provide examples from our laboratory practice of some problematic issues which can affect the performance and data analysis of HRM results, especially with regard to reference curve-based targeted genotyping. We present those examples in order of the typical experimental workflow, and discuss the crucial significance of the respective experimental errors and limitations for the quality and analysis of results. The experimental details which have a decisive impact on correct execution of a HRM genotyping experiment include type and quality of DNA source material, reproducibility of isolation method and template DNA preparation, primer and amplicon design, automation-derived preparation and pipetting inconsistencies, as well as physical limitations in melting curve distinction for alternative variants and careful selection of samples for validation by sequencing. We provide a case-by-case analysis and discussion of actual problems we encountered and solutions that should be taken into account by researchers newly attempting HRM genotyping, especially in a high-throughput setup.
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Affiliation(s)
- Marcin Słomka
- Biobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland.
- BBMRI.pl Consortium, 54-066 Wrocław, Poland.
| | - Marta Sobalska-Kwapis
- Biobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland.
- BBMRI.pl Consortium, 54-066 Wrocław, Poland.
| | - Monika Wachulec
- Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pomorska 141/143, 90-236 Łódź, Poland.
| | - Grzegorz Bartosz
- Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pomorska 141/143, 90-236 Łódź, Poland.
| | - Dominik Strapagiel
- Biobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland.
- BBMRI.pl Consortium, 54-066 Wrocław, Poland.
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Franczak C, Salleron J, Dubois C, Filhine-trésarrieu P, Leroux A, Merlin J, Harlé A. Comparison of Five Different Assays for the Detection of BRAF Mutations in Formalin-Fixed Paraffin Embedded Tissues of Patients with Metastatic Melanoma. Mol Diagn Ther 2017; 21:209-16. [DOI: 10.1007/s40291-017-0258-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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9
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Wang LQ, Wang TY, Sun QL, Qie YQ. Correlation between thyroglobulin gene polymorphisms and autoimmune thyroid disease. Mol Med Rep 2015; 12:4469-4475. [PMID: 26099577 DOI: 10.3892/mmr.2015.3978] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 05/19/2015] [Indexed: 11/05/2022] Open
Abstract
The aim of the present study was to detect thyroglobulin (Tg) gene polymorphisms in a Han Chinese population from the Northern regions of Henan province, China, and to study the correlation between Tg gene polymorphisms and autoimmune thyroid disease (AITD). A total of 270 patients with AITD and 135 healthy controls were enrolled. Genomic DNA was extracted and fluorescence polymerase chain reaction analysis was performed; high‑resolution melting curve analysis (HRMA) was used to detect single‑nucleotide polymorphisms (SNPs) in exons 10, 12 and 33 of the Tg gene. SNPs were then correlated with AITD. Han people from the Northern regions of Henan displayed four Tg exon SNPs: E10SNP24 T/G, E10SNP158 T/C, E12SNP A/G and E33SNP C/T. Several allele and genotype frequencies differed between the AITD group and the healthy control group (Tg E10SNP: Allele T, P<0.01; allele G, P<0.01; and Tg genotype GG, P<0.01; genotype TG, P<0.01. Tg E12SNP: Allele A, P<0.01; allele G, P<0.01; Tg genotype GG, P<0.01; genotype AG, P<0.01). A statistically significant difference in the frequency of selected Tg SNPs haplotypes was also present between AITD patients and healthy controls (P<0.05). There was no significant difference in haplotypes between various types of AITD (hypothyroidism, hyperthyroidism and Hashimoto's disease). The Tg SNP frequency distribution was significantly different between Han populations of the Northern regions of Henan province and the Xi'an regions of Shaanxi province. The results of the present study suggested that specific Tg gene alleles or genotypes were correlated with AITD; specific Tg SNP haplotypes were associated with hypothyroidism, hyperthyroidism and Hashimoto's disease, and the Tg SNP frequency distribution differed depending on the geographical location of the Han Chinese populations.
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Affiliation(s)
- Li-Qiang Wang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Tian-Yun Wang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Qiu-Li Sun
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, Henan 453003, P.R. China
| | - Yong-Qiang Qie
- Department of Nuclear Medicine, Anyang Regional Hospital of Puyang City, Anyang, Henan 455000, P.R. China
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Naue J, Hansmann T, Schmidt U. High-resolution melting of 12S rRNA and cytochrome b DNA sequences for discrimination of species within distinct European animal families. PLoS One 2014; 9:e115575. [PMID: 25531439 DOI: 10.1371/journal.pone.0115575] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 11/29/2014] [Indexed: 11/19/2022] Open
Abstract
The cheap and easy identification of species is necessary within multiple fields of molecular biology. The use of high-resolution melting (HRM) of DNA provides a fast closed-tube method for analysis of the sequence composition of the mitochondrial genes 12S rRNA and cytochrome b. We investigated the potential use of HRM for species identification within eleven different animal groups commonly found in Europe by animal-group-specific DNA amplification followed by DNA melting. Influence factors as DNA amount, additional single base alterations, and the existence of mixed samples were taken into consideration. Visual inspection combined with mathematical evaluation of the curve shapes did resolve nearly all species within an animal group. The assay can therefore not only be used for identification of animal groups and mixture analysis but also for species identification within the respective groups. The use of a universal 12S rRNA system additionally revealed a possible approach for species discrimination, mostly by exclusion. The use of the HRM assay showed to be a reliable, fast, and cheap method for species discrimination within a broad range of different animal species and can be used in a flexible "modular" manner depending on the question to be solved.
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Guertler P, Harwardt A, Eichelinger A, Muschler P, Goerlich O, Busch U. Development of a CTAB buffer-based automated gDNA extraction method for the surveillance of GMO in seed. Eur Food Res Technol 2013. [DOI: 10.1007/s00217-013-1916-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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