Integration of Genomic and Transcriptomic Data to Elucidate Molecular Processes in Babesia divergens
Por:
Gonzalez L.M., Sevilla E., Fernández-García M., Sanchez-Flores A., Montero E.
Publicada:
1 ene 2021
Resumen:
Emerging pathogens have developed ingenious life cycles to facilitate their growth and survival in the host organism. Detailed knowledge of the life cycle of these pathogens is increasingly necessary if we are to design new strategies to prevent infection and transmission. Multi-omics platforms provide useful data at different biological levels, and integration of these data into current approaches can facilitate holistic assessment of emerging pathogens. In this chapter, we bring together various methods and apply an integrative approach for analysis of genomic and transcriptomic data in Babesia divergens, an Apicomplexa emerging parasite that invades red blood cells and causes redwater fever in cattle and the most severe form of babesiosis in humans in Europe. The integrative methodology described herein can be helpful to identify genes active at specific points during life cycle of Apicomplexa parasites. © 2021, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
Filiaciones:
Gonzalez L.M.:
Laboratorio de Referencia e Investigación en Parasitología, Centro Nacional de Microbiología, ISCIII Majadahonda, Madrid, Spain
Sevilla E.:
Laboratorio de Referencia e Investigación en Parasitología, Centro Nacional de Microbiología, ISCIII Majadahonda, Madrid, Spain
Fernández-García M.:
Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
Sanchez-Flores A.:
Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Cuernavaca, Mexico
Montero E.:
Laboratorio de Referencia e Investigación en Parasitología, Centro Nacional de Microbiología, ISCIII Majadahonda, Madrid, Spain
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