Your browser doesn't support javascript.
loading
Application of single-cell transcriptomics to kinetoplastid research.
Briggs, Emma M; Warren, Felix S L; Matthews, Keith R; McCulloch, Richard; Otto, Thomas D.
Afiliación
  • Briggs EM; Institute for Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Warren FSL; Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Matthews KR; Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • McCulloch R; Institute for Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Otto TD; Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Parasitology ; 148(10): 1223-1236, 2021 09.
Article en En | MEDLINE | ID: mdl-33678213
ABSTRACT
Kinetoplastid parasites are responsible for both human and animal diseases across the globe where they have a great impact on health and economic well-being. Many species and life cycle stages are difficult to study due to limitations in isolation and culture, as well as to their existence as heterogeneous populations in hosts and vectors. Single-cell transcriptomics (scRNA-seq) has the capacity to overcome many of these difficulties, and can be leveraged to disentangle heterogeneous populations, highlight genes crucial for propagation through the life cycle, and enable detailed analysis of host­parasite interactions. Here, we provide a review of studies that have applied scRNA-seq to protozoan parasites so far. In addition, we provide an overview of sample preparation and technology choice considerations when planning scRNA-seq experiments, as well as challenges faced when analysing the large amounts of data generated. Finally, we highlight areas of kinetoplastid research that could benefit from scRNA-seq technologies.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Kinetoplastida / Perfilación de la Expresión Génica / Análisis de la Célula Individual Idioma: En Revista: Parasitology Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Kinetoplastida / Perfilación de la Expresión Génica / Análisis de la Célula Individual Idioma: En Revista: Parasitology Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido