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Dataset Information

A transcriptomic dataset used to derive biomarkers of chemically induced histone deacetylase inhibition (HDACi) in human TK6 cells.


ABSTRACT: Transcriptomic biomarkers facilitate mode of action analysis of toxicants by detecting specific patterns of gene expression perturbations. We identified an 81-gene transcriptomic biomarker of histone deacetylase inhibitors (HDACi) using whole transcriptome data sets of TK6 human lymphoblastoid cells generated by Templated Oligo-Sequencing (TempO-Seq) after 4 h of exposure to 20 reference compounds (10 HDACi and 10 non-HDACi) [1]. The biomarker, named TGx-HDACi, was derived using the nearest shrunken centroid (NSC) method and can distinguish HDACi from non-HDACi compounds based on the expression pattern across the 81 genes. The classification capability of TGx-HDACi was evaluated by NSC probability analysis of 11 external validation compounds (4 HDACi and 7 non-HDACi) with a probability cut

SUBMITTER: Cho E 

PROVIDER: S-EPMC8138725 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature