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Mechanistically informed Phenotypic Screening to Advance New Therapeutic Treatments for Oesophageal Cancer Patients
Carragher, Neil
(Principal Investigator)
Hupp, Ted
(Co-investigator)
O'Neill, Robert
(Co-investigator)
Unciti-Broceta, Asier
(Co-investigator)
Deanery of Molecular, Genetic and Population Health Sciences
Deanery of Clinical Sciences
University of Edinburgh
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/09/17
→
31/01/20
Funding
UK-based charities:
£260,860.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Diseases
Pharmacology, Toxicology and Pharmaceutical Science
100%
Phenotype
Medicine and Dentistry
80%
Ionophore
Medicine and Dentistry
80%
Cells
Medicine and Dentistry
80%
Esophageal Cancer
Medicine and Dentistry
80%
Copper
Medicine and Dentistry
80%
Esophageal Adenocarcinoma
Medicine and Dentistry
80%
Esophagus Cancer
Pharmacology, Toxicology and Pharmaceutical Science
80%
Research output
Research output per year
2021
2021
2022
2022
2
Article
Research output per year
Research output per year
Multiparametric High-Content Cell Painting Identifies Copper Ionophores as Selective Modulators of Esophageal Cancer Phenotypes
Hughes, R. E.
,
Elliott, R. J. R.
,
Li, X.
,
Munro, A. F.
,
Makda, A.
,
Carter, R. N.
,
Morton, N. M.
,
Fujihara, K.
,
Clemons, N. J.
,
Fitzgerald, R.
,
O’neill, J. R.
,
Hupp, T.
&
Carragher, N. O.
,
13 Jun 2022
, (E-pub ahead of print)
In:
Acs chemical biology.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Esophageal Cancer
100%
Ionophore
100%
Esophageal Adenocarcinoma
100%
Cells
100%
Copper
100%
High content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need
Hughes, B.
,
Elliott, R.
,
Dawson, J. C.
&
Carragher, N. O.
,
18 Mar 2021
, (E-pub ahead of print)
In:
Cell Chemical Biology.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Drug Discovery
100%
Diseases
100%
Drug
25%
Molecule
25%