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Dataset on the response of Hut78 cells to novel rexinoids

This article presents the experimental data supporting analysis of differential gene expression of human cutaneous T cell lymphoma (CTCL) cell culture cells (Hut78) treated with bexarotene or a variety of rexinoids, in conjunction with “A Novel Gene Expression Analytics-based Approach to Structure A...

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Detalles Bibliográficos
Autores principales: Hackney Price, Jennifer, Hanish, Bentley J., Wagner, Carl E., Kaneko, Ichiro, Jurutka, Peter W., Marshall, Pamela A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169431/
https://www.ncbi.nlm.nih.gov/pubmed/30294626
http://dx.doi.org/10.1016/j.dib.2018.09.012
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author Hackney Price, Jennifer
Hanish, Bentley J.
Wagner, Carl E.
Kaneko, Ichiro
Jurutka, Peter W.
Marshall, Pamela A.
author_facet Hackney Price, Jennifer
Hanish, Bentley J.
Wagner, Carl E.
Kaneko, Ichiro
Jurutka, Peter W.
Marshall, Pamela A.
author_sort Hackney Price, Jennifer
collection PubMed
description This article presents the experimental data supporting analysis of differential gene expression of human cutaneous T cell lymphoma (CTCL) cell culture cells (Hut78) treated with bexarotene or a variety of rexinoids, in conjunction with “A Novel Gene Expression Analytics-based Approach to Structure Aided Design of Rexinoids for Development as Next-Generation Cancer Therapeutics” (Hanish et al. 2018). Data presented here include microarray gene expression analysis of a subset of genes. A novel method for analyzing gene expression in the context of a model of ligand mechanism, called the Divergence Score, is described. Analysis to identify the presence of potential retinoid response elements in putative promoter regions of the study genes is also presented.
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spelling pubmed-61694312018-10-05 Dataset on the response of Hut78 cells to novel rexinoids Hackney Price, Jennifer Hanish, Bentley J. Wagner, Carl E. Kaneko, Ichiro Jurutka, Peter W. Marshall, Pamela A. Data Brief Chemistry This article presents the experimental data supporting analysis of differential gene expression of human cutaneous T cell lymphoma (CTCL) cell culture cells (Hut78) treated with bexarotene or a variety of rexinoids, in conjunction with “A Novel Gene Expression Analytics-based Approach to Structure Aided Design of Rexinoids for Development as Next-Generation Cancer Therapeutics” (Hanish et al. 2018). Data presented here include microarray gene expression analysis of a subset of genes. A novel method for analyzing gene expression in the context of a model of ligand mechanism, called the Divergence Score, is described. Analysis to identify the presence of potential retinoid response elements in putative promoter regions of the study genes is also presented. Elsevier 2018-09-12 /pmc/articles/PMC6169431/ /pubmed/30294626 http://dx.doi.org/10.1016/j.dib.2018.09.012 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Chemistry
Hackney Price, Jennifer
Hanish, Bentley J.
Wagner, Carl E.
Kaneko, Ichiro
Jurutka, Peter W.
Marshall, Pamela A.
Dataset on the response of Hut78 cells to novel rexinoids
title Dataset on the response of Hut78 cells to novel rexinoids
title_full Dataset on the response of Hut78 cells to novel rexinoids
title_fullStr Dataset on the response of Hut78 cells to novel rexinoids
title_full_unstemmed Dataset on the response of Hut78 cells to novel rexinoids
title_short Dataset on the response of Hut78 cells to novel rexinoids
title_sort dataset on the response of hut78 cells to novel rexinoids
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169431/
https://www.ncbi.nlm.nih.gov/pubmed/30294626
http://dx.doi.org/10.1016/j.dib.2018.09.012
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