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Sengstake S, Bablishvili N, Schuitema A, Bzekalava N, Abadia E, de Beer J, Tadumadze N, Akhalaia M, Tuin K, Tukvadze N, Aspindzelashvili R, Bachiyska E, Panaiotov S, Sola C, van Soolingen D, Klatser P, Anthony R, Bergval I. Optimizing multiplex SNP-based data analysis for genotyping of Mycobacterium tuberculosis isolates. BMC Genomics 2014; 15:572. [PMID: 25001491 PMCID: PMC4117977 DOI: 10.1186/1471-2164-15-572] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Accepted: 06/19/2014] [Indexed: 11/10/2022] Open
Abstract
Background Multiplex ligation-dependent probe amplification (MLPA) is a powerful tool to identify genomic polymorphisms. We have previously developed a single nucleotide polymorphism (SNP) and large sequence polymorphisms (LSP)-based MLPA assay using a read out on a liquid bead array to screen for 47 genetic markers in the Mycobacterium tuberculosis genome. In our assay we obtain information regarding the Mycobacterium tuberculosis lineage and drug resistance simultaneously. Previously we called the presence or absence of a genotypic marker based on a threshold signal level. Here we present a more elaborate data analysis method to standardize and streamline the interpretation of data generated by MLPA. The new data analysis method also identifies intermediate signals in addition to classification of signals as positive and negative. Intermediate calls can be informative with respect to identifying the simultaneous presence of sensitive and resistant alleles or infection with multiple different Mycobacterium tuberculosis strains. Results To validate our analysis method 100 DNA isolates of Mycobacterium tuberculosis extracted from cultured patient material collected at the National TB Reference Laboratory of the National Center for Tuberculosis and Lung Diseases in Tbilisi, Republic of Georgia were tested by MLPA. The data generated were interpreted blindly and then compared to results obtained by reference methods. MLPA profiles containing intermediate calls are flagged for expert review whereas the majority of profiles, not containing intermediate calls, were called automatically. No intermediate signals were identified in 74/100 isolates and in the remaining 26 isolates at least one genetic marker produced an intermediate signal. Conclusion Based on excellent agreement with the reference methods we conclude that the new data analysis method performed well. The streamlined data processing and standardized data interpretation allows the comparison of the Mycobacterium tuberculosis MLPA results between different experiments. All together this will facilitate the implementation of the MLPA assay in different settings. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-572) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sarah Sengstake
- KIT Biomedical Research, Royal Tropical Institute, Meibergdreef 39, 1105 AZ Amsterdam, The Netherlands.
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Christopher-Hennings J, Araujo KPC, Souza CJH, Fang Y, Lawson S, Nelson EA, Clement T, Dunn M, Lunney JK. Opportunities for bead-based multiplex assays in veterinary diagnostic laboratories. J Vet Diagn Invest 2013; 25:671-91. [DOI: 10.1177/1040638713507256] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Bead-based multiplex assays (BBMAs) are applicable for high throughput, simultaneous detection of multiple analytes in solution (from several to 50–500 analytes within a single, small sample volume). Currently, few assays are commercially available for veterinary applications, but they are available to identify and measure various cytokines, growth factors and their receptors, inflammatory proteins, kinases and inhibitors, neurobiology proteins, and pathogens and antibodies in human beings, nonhuman primates, and rodent species. In veterinary medicine, various nucleic acid and protein-coupled beads can be used in, or for the development of, antigen and antibody BBMAs, with the advantage that more data can be collected using approximately the same amount of labor as used for other antigen and antibody assays. Veterinary-related BBMAs could be used for detection of pathogens, genotyping, measurement of hormone levels, and in disease surveillance and vaccine assessment. It will be important to evaluate whether BBMAs are “fit for purpose,” how costs and efficiencies compare between assays, which assays are published or commercially available for specific veterinary applications, and what procedures are involved in the development of the assays. It is expected that many veterinary-related BBMAs will be published and/or become commercially available in the next few years. The current review summarizes the BBMA technology and some of the currently available BBMAs developed for veterinary settings. Some of the human diagnostic BBMAs are also described, providing an example of possible templates for future development of new veterinary-related BBMAs.
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Affiliation(s)
- Jane Christopher-Hennings
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Karla P. C. Araujo
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Carlos J. H. Souza
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Ying Fang
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Steven Lawson
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Eric A. Nelson
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Travis Clement
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Michael Dunn
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
| | - Joan K. Lunney
- Veterinary and Biomedical Sciences Department, South Dakota State University, Brookings, SD (Christopher-Hennings, Fang, Lawson, Nelson, Clement, Dunn)
- Animal Parasitic Diseases Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD (Araujo, Souza, Lunney)
- Brazilian Agricultural Research Corp. (EMBRAPA), Pecuaria Sul, Bage, Rio Grande do Sul, Brazil (Souza)
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