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Series GSE161393 Query DataSets for GSE161393
Status Public on Nov 13, 2020
Title Identification of genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells
Organism Homo sapiens
Experiment type Expression profiling by array
Summary It has been well-known that cancer cells acquire approximately three-fold radioresistance under hypoxia than under normoxia due to both radiation chemical and radiation biological mechanisms, causing a negative impact on the outcome of radiation therapy.
In the present study, to identify genes responsive to hypoxia in human cervical epithelial adenocarcinoma HeLa cells, global-scale gene expression analysis was carried out using a GeneChip® system.
 
Overall design Human cervical carcinoma cell line HeLa cells were used. Cells were cultured at 37°C in Dulbecco’s modified Eagle medium (DMEM) containing 10% FBS, 100 U/mL penicillin, and 100 μg/mL streptomycin. Cells were incubated in a well-humidified 5% CO2 and 95% air for the normoxic culture, or in a RUSKINN INVIVO2 500 for hypoxic culture at < 0.1% O2. Total RNA samples were prepared from the cells. Gene expression was analyzed by an Affymetrix GeneChip® system with a Human Genome U133-plus 2.0 array. Sample preparation for array hybridization was carried out as described in the manufacturer’s instructions.
 
Contributor(s) Tabuchi Y, Harada H
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Submission date Nov 12, 2020
Last update date Nov 15, 2020
Contact name Yoshiaki Tabuchi
E-mail(s) ytabu@cts.u-toyama.ac.jp
Organization name University of Toyama
Department Life Science Research Center
Lab Division of Molecular Genetics Research
Street address 2630 Sugitani
City Toyama
State/province Toyama
ZIP/Postal code 930-0194
Country Japan
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (2)
GSM4906423 normoxia
GSM4906424 hypoxia
Relations
BioProject PRJNA678012

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE161393_RAW.tar 9.7 Mb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table
Processed data provided as supplementary file

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