Automated Hypothesis Generation to Identify Signals Relevant in the Development of Mammalian Cell and Tissue Bioprocesses, With Validation in a Retinal Culture System

We have developed an accessible software tool (receptoR) to predict potentially active signaling pathways in one or more cell type(s) of interest from publicly available transcriptome data. As proof-of-concept, we applied it to mouse photoreceptors, yielding the previously untested hypothesis that a...

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Detalles Bibliográficos
Autores principales: Toms, Derek, Al-Ani, Abdullah, Sunba, Saud, Tong, Qing Yun (Victor), Workentine, Matthew, Ungrin, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287043/
https://www.ncbi.nlm.nih.gov/pubmed/32582664
http://dx.doi.org/10.3389/fbioe.2020.00534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287043/
https://www.ncbi.nlm.nih.gov/pubmed/32582664
http://dx.doi.org/10.3389/fbioe.2020.00534

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