Comment[GEAAccession]	E-GEAD-514
MAGE-TAB Version	1.1
Investigation Title	Antitumor effects of 9-oxo-10,12-ODAs on human cervical cancer cells: novel insights into CDK regulators and opportunities for cancer therapy
Experiment Description	We evaluated the growth inhibitory effects of 9-oxo-ODAs in cervical cancer caused by HPV infection. We confirmed the antitumor effects of 9-oxo-ODAs in vitro, identified their mechanisms of action using omics analysis, and verified their effects ex vivo and in vivo.
Experimental Design	compound treatment design
Experimental Factor Name	treatment
Experimental Factor Type	treatment
Person Last Name	Mogi
Person First Name	Kazumasa
Person Affiliation	Department of obstetrics and gynecology, Nagoya University, Graduate School of Medicine
Person Roles	submitter
Public Release Date	2022-07-25
Protocol Name	P-GEAD-1263	P-GEAD-1264	P-GEAD-1265	P-GEAD-1266	P-GEAD-1267
Protocol Type	sample collection protocol	nucleic acid extraction protocol	nucleic acid library construction protocol	nucleic acid sequencing protocol	normalization data transformation protocol
Protocol Description	HeLa cells were treated with vehicle (DMSO), 9-oxo-ODAs (25 mcM) or 9-oxo-ODAs (50 mcM) for 72 hours.	Total RNA was extracted from cell lines using the RNeasy Mini Kit (Qiagen) and subjected to qPCR. cDNA was synthesized from 1 ?g of total RNA using a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems) with oligo-dT primers.	Total RNA was extracted from cell lines using the RNeasy Mini Kit (Qiagen) and subjected to qPCR. cDNA was synthesized from 1 ?g of total RNA using a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems) with oligo-dT primers.	RNA integrity was confirmed using a NanoDrop spectrophotometer and Agilent Bioanalyzer 2100. Sequencing was performed using  NovaSeq 6000 instrument (Illumina, CA, USA).	We mapped the reads to a reference genome (Human, NCBI GRCh38) using Hisat2 (version 2.2.0) with default settings35. Relative gene expression levels were estimated by fragments per kilobase of transcript per million mapped reads using Stringtie (version 2.1.1) with default settings36. We used Genespring (version 14.9, Agilent) for expression analysis. To minimize noise, genes with low expression levels were filtered out by applying a minimum percentile of 20%.
SDRF File	E-GEAD-514.sdrf.txt
Comment[AEExperimentType]	RNA-seq of coding RNA
Comment[BioProject]	PRJDB14062
Comment[Last Update Date]	2022-07-25