Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data

Single-cell RNA sequencing combined with genome-scale metabolic models (GEMs) has the potential to unravel the differences in metabolism across both cell types and cell states but requires new computational methods. Here, we present a method for generating cell-type-specific genome-scale models from...

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Detalles Bibliográficos
Autores principales: Gustafsson, Johan, Anton, Mihail, Roshanzamir, Fariba, Jörnsten, Rebecka, Kerkhoven, Eduard J., Robinson, Jonathan L., Nielsen, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963017/
https://www.ncbi.nlm.nih.gov/pubmed/36719923
http://dx.doi.org/10.1073/pnas.2217868120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963017/
https://www.ncbi.nlm.nih.gov/pubmed/36719923
http://dx.doi.org/10.1073/pnas.2217868120

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