Single-cell RNA-sequencing data analysis reveals a highly correlated triphasic transcriptional response to SARS-CoV-2 infection

Single-cell RNA sequencing (scRNA-seq) is currently one of the most powerful techniques available to study the transcriptional response of thousands of cells to an external perturbation. Here, we perform a pseudotime analysis of SARS-CoV-2 infection using publicly available scRNA-seq data from human...

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Detalles Bibliográficos
Autores principales: Gutiérrez, Pablo A., Elena, Santiago F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701238/
https://www.ncbi.nlm.nih.gov/pubmed/36435849
http://dx.doi.org/10.1038/s42003-022-04253-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701238/
https://www.ncbi.nlm.nih.gov/pubmed/36435849
http://dx.doi.org/10.1038/s42003-022-04253-4

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