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Series GSE135279 Query DataSets for GSE135279
Status Public on Aug 02, 2022
Title Genome-wide high-throughput sequencing analysis of TLR4-overexpressing ovarian cancer cells treated with taxol and curcumin
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The purpose of this study is to approach overexpression of TLR4 which contributes the drug resistance in ovarian cancer cells. However, curcumin overcomes this effects. Comparison of the transcriptional regulated genes were performed: (1) analysis of TLR4-overexpressing (T4) and mock (MCS) SKOV3 cells by taxol treatment; (2) assay of taxol alone and combined with curcumin treatments in TLR4-overexpressing (T4) SKOV3 cells. Differential expression analysis was performed with ≥ 2-fold or ≤0.5-fold (p<0.05) changed expression for pathway enrichment analysis.
 
Overall design TLR4-overexpressing (T4) and mock (MCS) SKOV3 cells were treated with taxol. In addition, treatment of taxol combined with curcumin was performed in TLR4-overexpressing cells as well. All samples were prepared in duplicates.
 
Contributor(s) Sun N, Huang S
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Aug 02, 2019
Last update date Aug 02, 2022
Contact name Nian Kang Sun
E-mail(s) nksun@mail.cgust.edu.tw
Phone +886-3-2118999
Organization name Chang Gung University of Science and Technology
Department Division of Biomedical Sciences
Street address No.261, Wenhua 1st Rd.Guishan Dist
City Taoyuan
ZIP/Postal code 333
Country Taiwan
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (6)
GSM4002645 MCS_Tx_1
GSM4002646 MCS_Tx_2
GSM4002647 T4_Tx_1
Relations
BioProject PRJNA558231
SRA SRP217112

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
GSE135279_T4_Tx_Cur_vs_T4_Tx_FC2X_detail.xlsx 7.7 Mb (ftp)(http) XLSX
GSE135279_T4_Tx_vs_MCS_Tx_FC2X_detail.xlsx 7.8 Mb (ftp)(http) XLSX
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Raw data are available in SRA
Processed data are available on Series record

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