Prediction of Factors to Induce Cell Differentiation
Lead Research Organisation:
University of Bristol
Department Name: Computer Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
Julian Gough (Principal Investigator) |
Publications
FANTOM Consortium And The RIKEN PMI And CLST (DGT)
(2014)
A promoter-level mammalian expression atlas.
in Nature
Kamaraj US
(2016)
Computational methods for direct cell conversion.
in Cell cycle (Georgetown, Tex.)
Morikawa H
(2014)
Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation.
in Proceedings of the National Academy of Sciences of the United States of America
Rackham OJ
(2016)
A predictive computational framework for direct reprogramming between human cell types.
in Nature genetics
Sardar AJ
(2014)
The evolution of human cells in terms of protein innovation.
in Molecular biology and evolution
Description | We developed an algorithm, MOGRIFY, to predict which transcription factors are required to reprogram any human cell type into any other. We discovered that our combination works on fibroblast to keratinocyte and keratinoctye to microvascular endothelial cells. |
Exploitation Route | This will be of very high interest to anyone conducting reprogramming experiments in human cells. |
Sectors | Healthcare,Pharmaceuticals and Medical Biotechnology |
Description | This was a small grant funding essentially travel and collaboration. So the outputs are not direct, however indirectly work that has been enabled by the travel and collaboration has been a contributing factor in the formation of the company Mogrify Limited which will grow from 30-50 employees in 2020. We hope this company will have a positive economic impact on the UK biotech sector. |
First Year Of Impact | 2016 |
Sector | Pharmaceuticals and Medical Biotechnology |
Impact Types | Economic |
Title | Mogrify |
Description | Mogrify predicts reprogramming factors for cell differentiation |
Type Of Material | Data analysis technique |
Year Produced | 2016 |
Provided To Others? | Yes |
Impact | Too early |
URL | http://mogrify.net |
Description | FANTOM |
Organisation | RIKEN |
Country | Japan |
Sector | Public |
PI Contribution | Bioinformatics |
Collaborator Contribution | HIgh throughput data production. |
Impact | Multi-disciplinary bioinformatics and molecular biology. |
Company Name | Cell Mogrify |
Description | Cell Mogrify is starting out as in IP based biotech company for the purpose of translating and commercialising the Mogrify work published in Nature Genetics that is also the subject of a patent application. The company aims to generate novel cell conversions and work with partner companies to make industrial use of them. |
Year Established | 2016 |
Impact | The company was only formed recently and is in its infancy. |