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Valdés-Alemán J, Téllez-Sosa J, Ovilla-Muñoz M, Godoy-Lozano E, Velázquez-Ramírez D, Valdovinos-Torres H, Gómez-Barreto RE, Martinez-Barnetche J. Hybridization-based antibody cDNA recovery for the production of recombinant antibodies identified by repertoire sequencing. MAbs 2013; 6:493-501. [PMID: 24492293 DOI: 10.4161/mabs.27435] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
High-throughput sequencing of the antibody repertoire is enabling a thorough analysis of B cell diversity and clonal selection, which may improve the novel antibody discovery process. Theoretically, an adequate bioinformatic analysis could allow identification of candidate antigen-specific antibodies, requiring their recombinant production for experimental validation of their specificity. Gene synthesis is commonly used for the generation of recombinant antibodies identified in silico. Novel strategies that bypass gene synthesis could offer more accessible antibody identification and validation alternatives. We developed a hybridization-based recovery strategy that targets the complementarity-determining region 3 (CDRH3) for the enrichment of cDNA of candidate antigen-specific antibody sequences. Ten clonal groups of interest were identified through bioinformatic analysis of the heavy chain antibody repertoire of mice immunized with hen egg white lysozyme (HEL). cDNA from eight of the targeted clonal groups was recovered efficiently, leading to the generation of recombinant antibodies. One representative heavy chain sequence from each clonal group recovered was paired with previously reported anti-HEL light chains to generate full antibodies, later tested for HEL-binding capacity. The recovery process proposed represents a simple and scalable molecular strategy that could enhance antibody identification and specificity assessment, enabling a more cost-efficient generation of recombinant antibodies.
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Affiliation(s)
- Javier Valdés-Alemán
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México; Programa de Ingeniería en Biotecnología; Universidad Politécnica del Estado de Morelos; Jiutepec, México
| | - Juan Téllez-Sosa
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Marbella Ovilla-Muñoz
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Elizabeth Godoy-Lozano
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Daniel Velázquez-Ramírez
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Humberto Valdovinos-Torres
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Rosa E Gómez-Barreto
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Jesús Martinez-Barnetche
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
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Téllez-Sosa J, Rodríguez MH, Gómez-Barreto RE, Valdovinos-Torres H, Hidalgo AC, Cruz-Hervert P, Luna RS, Carrillo-Valenzo E, Ramos C, García-García L, Martínez-Barnetche J. Using high-throughput sequencing to leverage surveillance of genetic diversity and oseltamivir resistance: a pilot study during the 2009 influenza A(H1N1) pandemic. PLoS One 2013; 8:e67010. [PMID: 23843978 PMCID: PMC3699567 DOI: 10.1371/journal.pone.0067010] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2012] [Accepted: 05/17/2013] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Influenza viruses display a high mutation rate and complex evolutionary patterns. Next-generation sequencing (NGS) has been widely used for qualitative and semi-quantitative assessment of genetic diversity in complex biological samples. The "deep sequencing" approach, enabled by the enormous throughput of current NGS platforms, allows the identification of rare genetic viral variants in targeted genetic regions, but is usually limited to a small number of samples. METHODOLOGY AND PRINCIPAL FINDINGS We designed a proof-of-principle study to test whether redistributing sequencing throughput from a high depth-small sample number towards a low depth-large sample number approach is feasible and contributes to influenza epidemiological surveillance. Using 454-Roche sequencing, we sequenced at a rather low depth, a 307 bp amplicon of the neuraminidase gene of the Influenza A(H1N1) pandemic (A(H1N1)pdm) virus from cDNA amplicons pooled in 48 barcoded libraries obtained from nasal swab samples of infected patients (n = 299) taken from May to November, 2009 pandemic period in Mexico. This approach revealed that during the transition from the first (May-July) to second wave (September-November) of the pandemic, the initial genetic variants were replaced by the N248D mutation in the NA gene, and enabled the establishment of temporal and geographic associations with genetic diversity and the identification of mutations associated with oseltamivir resistance. CONCLUSIONS NGS sequencing of a short amplicon from the NA gene at low sequencing depth allowed genetic screening of a large number of samples, providing insights to viral genetic diversity dynamics and the identification of genetic variants associated with oseltamivir resistance. Further research is needed to explain the observed replacement of the genetic variants seen during the second wave. As sequencing throughput rises and library multiplexing and automation improves, we foresee that the approach presented here can be scaled up for global genetic surveillance of influenza and other infectious diseases.
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Affiliation(s)
- Juan Téllez-Sosa
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Mario Henry Rodríguez
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Rosa E. Gómez-Barreto
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Humberto Valdovinos-Torres
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Ana Cecilia Hidalgo
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Pablo Cruz-Hervert
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - René Santos Luna
- Centro de Información para Decisiones en Salud Pública, Instituto Nacional de Salud Pública, Cuernavaca, México
| | | | - Celso Ramos
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Lourdes García-García
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
| | - Jesús Martínez-Barnetche
- Centro de Investigaciones sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, México
- * E-mail:
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Martínez-Barnetche J, Gómez-Barreto RE, Ovilla-Muñoz M, Téllez-Sosa J, López DEG, Dinglasan RR, Mohien CU, MacCallum RM, Redmond SN, Gibbons JG, Rokas A, Machado CA, Cazares-Raga FE, González-Cerón L, Hernández-Martínez S, López MHR. Transcriptome of the adult female malaria mosquito vector Anopheles albimanus. BMC Genomics 2012; 13:207. [PMID: 22646700 PMCID: PMC3442982 DOI: 10.1186/1471-2164-13-207] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Accepted: 05/30/2012] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Human Malaria is transmitted by mosquitoes of the genus Anopheles. Transmission is a complex phenomenon involving biological and environmental factors of humans, parasites and mosquitoes. Among more than 500 anopheline species, only a few species from different branches of the mosquito evolutionary tree transmit malaria, suggesting that their vectorial capacity has evolved independently. Anopheles albimanus (subgenus Nyssorhynchus) is an important malaria vector in the Americas. The divergence time between Anopheles gambiae, the main malaria vector in Africa, and the Neotropical vectors has been estimated to be 100 My. To better understand the biological basis of malaria transmission and to develop novel and effective means of vector control, there is a need to explore the mosquito biology beyond the An. gambiae complex. RESULTS We sequenced the transcriptome of the An. albimanus adult female. By combining Sanger, 454 and Illumina sequences from cDNA libraries derived from the midgut, cuticular fat body, dorsal vessel, salivary gland and whole body, we generated a single, high-quality assembly containing 16,669 transcripts, 92% of which mapped to the An. darlingi genome and covered 90% of the core eukaryotic genome. Bidirectional comparisons between the An. gambiae, An. darlingi and An. albimanus predicted proteomes allowed the identification of 3,772 putative orthologs. More than half of the transcripts had a match to proteins in other insect vectors and had an InterPro annotation. We identified several protein families that may be relevant to the study of Plasmodium-mosquito interaction. An open source transcript annotation browser called GDAV (Genome-Delinked Annotation Viewer) was developed to facilitate public access to the data generated by this and future transcriptome projects. CONCLUSIONS We have explored the adult female transcriptome of one important New World malaria vector, An. albimanus. We identified protein-coding transcripts involved in biological processes that may be relevant to the Plasmodium lifecycle and can serve as the starting point for searching targets for novel control strategies. Our data increase the available genomic information regarding An. albimanus several hundred-fold, and will facilitate molecular research in medical entomology, evolutionary biology, genomics and proteomics of anopheline mosquito vectors. The data reported in this manuscript is accessible to the community via the VectorBase website (http://www.vectorbase.org/Other/AdditionalOrganisms/).
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Affiliation(s)
- Jesús Martínez-Barnetche
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - Rosa E Gómez-Barreto
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - Marbella Ovilla-Muñoz
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - Juan Téllez-Sosa
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - David E García López
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - Rhoel R Dinglasan
- Johns Hopkins Bloomberg School of Public Health. Department of Molecular Microbiology & Immunology, Johns Hopkins Malaria Research Institute, Baltimore, MD, 21205, USA
| | - Ceereena Ubaida Mohien
- Johns Hopkins Bloomberg School of Public Health. Department of Molecular Microbiology & Immunology, Johns Hopkins Malaria Research Institute, Baltimore, MD, 21205, USA
- Department of Molecular & Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Robert M MacCallum
- Division of Cell and Molecular Biology, Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Seth N Redmond
- Pasteur Institut, 28 Rue Du Docteur Roux, Paris, 75015, France
| | - John G Gibbons
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Carlos A Machado
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Febe E Cazares-Raga
- Departamento de Infectómica y Patogénesis Molecular, Cinvestav-IPN, México, DF, México
| | - Lilia González-Cerón
- Centro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública, Tapachula, Chiapas, México
| | - Salvador Hernández-Martínez
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
| | - Mario H Rodríguez López
- Centro de Investigación sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México
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