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...

Full description

Bibliographic Details
Main Authors: Derek Toms, Abdullah Al-Ani, Saud Sunba, Qing Yun (Victor) Tong, Matthew Workentine, Mark Ungrin
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00534/full