Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia

Drug discovery and development are often hampered by lack of target identification and clinical tractability. Repurposing of approved drugs to life-threatening diseases such as leukemia is emerging as a promising alternative approach. Connectivity mapping systems link approved drugs with disease-rel...

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Main Authors: Kettyle, Laura M.J., Liberante, Fabio G., Thompson, Alexander
Format: Article
Published: Springer Verlag 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/42819/
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author Kettyle, Laura M.J.
Liberante, Fabio G.
Thompson, Alexander
author_facet Kettyle, Laura M.J.
Liberante, Fabio G.
Thompson, Alexander
author_sort Kettyle, Laura M.J.
building Nottingham Research Data Repository
collection Online Access
description Drug discovery and development are often hampered by lack of target identification and clinical tractability. Repurposing of approved drugs to life-threatening diseases such as leukemia is emerging as a promising alternative approach. Connectivity mapping systems link approved drugs with disease-related gene signatures. Relevant preclinical models provide essential tools for system validation and proof-of-concept studies. Herein we describe procedures aimed at generating disease-based gene signatures and applying them to established cross-referencing databases of potential candidate drugs. As a proof of principle, we present the identification of Entinostat as a candidate drug for the treatment of HOX TALE-related leukemia.
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spelling nottingham-428192020-05-04T16:51:21Z https://eprints.nottingham.ac.uk/42819/ Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia Kettyle, Laura M.J. Liberante, Fabio G. Thompson, Alexander Drug discovery and development are often hampered by lack of target identification and clinical tractability. Repurposing of approved drugs to life-threatening diseases such as leukemia is emerging as a promising alternative approach. Connectivity mapping systems link approved drugs with disease-related gene signatures. Relevant preclinical models provide essential tools for system validation and proof-of-concept studies. Herein we describe procedures aimed at generating disease-based gene signatures and applying them to established cross-referencing databases of potential candidate drugs. As a proof of principle, we present the identification of Entinostat as a candidate drug for the treatment of HOX TALE-related leukemia. Springer Verlag 2014-07-08 Article PeerReviewed Kettyle, Laura M.J., Liberante, Fabio G. and Thompson, Alexander (2014) Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia. Methods in Molecular Biology, 1196 . pp. 349-370. ISSN 1940-6029 HOXA9 Meis1 Data mining Gene expression profiles Connectivity mapping (sscMap) Leukemia Entinostat Preclinical model https://link.springer.com/protocol/10.1007%2F978-1-4939-1242-1_21 doi:10.1007/978-1-4939-1242-1_21 doi:10.1007/978-1-4939-1242-1_21
spellingShingle HOXA9 Meis1 Data mining Gene expression profiles Connectivity mapping (sscMap) Leukemia Entinostat Preclinical model
Kettyle, Laura M.J.
Liberante, Fabio G.
Thompson, Alexander
Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title_full Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title_fullStr Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title_full_unstemmed Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title_short Rational drug repurposing using sscMap analysis in a HOX-TALE model of leukemia
title_sort rational drug repurposing using sscmap analysis in a hox-tale model of leukemia
topic HOXA9 Meis1 Data mining Gene expression profiles Connectivity mapping (sscMap) Leukemia Entinostat Preclinical model
url https://eprints.nottingham.ac.uk/42819/
https://eprints.nottingham.ac.uk/42819/
https://eprints.nottingham.ac.uk/42819/