Dataset on the response of Hut78 cells to novel rexinoids

Jennifer Hackney Price; Bentley J. Hanish; Carl Wagner; Ichiro Kaneko; Peter Jurutka; Pamela Marshall

doi:10.1016/j.dib.2018.09.012

Dataset on the response of Hut78 cells to novel rexinoids

Jennifer Hackney Price, Bentley J. Hanish, Carl Wagner, Ichiro Kaneko, Peter Jurutka, Pamela Marshall

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	1797-1803
Number of pages	7
Journal	Data in Brief
Volume	20
DOIs	https://doi.org/10.1016/j.dib.2018.09.012
State	Published - Oct 2018

ASJC Scopus subject areas

General

Access to Document

10.1016/j.dib.2018.09.012

Cite this

@article{82b3f9d52a4649b090a7cc2b0d088d0a,

title = "Dataset on the response of Hut78 cells to novel rexinoids",

abstract = "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.",

author = "{Hackney Price}, Jennifer and Hanish, {Bentley J.} and Carl Wagner and Ichiro Kaneko and Peter Jurutka and Pamela Marshall",

note = "Funding Information: This work was supported by the National Institutes of Health National Cancer Institute (Grant 1 R15 CA139364-01A2 ) and a Women and Philanthropy Grant (ASU Foundation LTR 3/16/15), both to CEW, PWJ, and PAM. Thanks to Julie Furmick for initial microarray experimental work. PAM wishes to thank the Genome Consortium for Active Teaching for initial microarray training and support for this project. We thank AzTE for ongoing intellectual property support of our work. Publisher Copyright: {\textcopyright} 2018",

year = "2018",

month = oct,

doi = "10.1016/j.dib.2018.09.012",

language = "English (US)",

volume = "20",

pages = "1797--1803",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Dataset on the response of Hut78 cells to novel rexinoids

AU - Hackney Price, Jennifer

AU - Hanish, Bentley J.

AU - Wagner, Carl

AU - Kaneko, Ichiro

AU - Jurutka, Peter

AU - Marshall, Pamela

N1 - Funding Information: This work was supported by the National Institutes of Health National Cancer Institute (Grant 1 R15 CA139364-01A2 ) and a Women and Philanthropy Grant (ASU Foundation LTR 3/16/15), both to CEW, PWJ, and PAM. Thanks to Julie Furmick for initial microarray experimental work. PAM wishes to thank the Genome Consortium for Active Teaching for initial microarray training and support for this project. We thank AzTE for ongoing intellectual property support of our work. Publisher Copyright: © 2018

PY - 2018/10

Y1 - 2018/10

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85053821050&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053821050&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2018.09.012

DO - 10.1016/j.dib.2018.09.012

M3 - Article

AN - SCOPUS:85053821050

SN - 2352-3409

VL - 20

SP - 1797

EP - 1803

JO - Data in Brief

JF - Data in Brief

ER -

Dataset on the response of Hut78 cells to novel rexinoids

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this