Single-cell analyses of aging, inflammation and senescence

Single-cell gene expression (transcriptomics) data are becoming robust and abundant, and are increasingly used to track organisms along their life-course. This allows investigation into how aging affects cellular transcriptomes, and how changes in transcriptomes may underlie aging, including chronic...

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Detalles Bibliográficos
Autores principales: Uyar, Bora, Palmer, Daniel, Kowald, Axel, Murua Escobar, Hugo, Barrantes, Israel, Möller, Steffen, Akalin, Altuna, Fuellen, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493798/
https://www.ncbi.nlm.nih.gov/pubmed/32949770
http://dx.doi.org/10.1016/j.arr.2020.101156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493798/
https://www.ncbi.nlm.nih.gov/pubmed/32949770
http://dx.doi.org/10.1016/j.arr.2020.101156

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