Project description:Gallic acid (also known as 3,4,5-trihydroxybenzoic acid, GA), a naturally occurring phenolic acid, is a major constituent of tea and red wine. It has been demonstrated that GA possess anti-cancer activities. We found the epigenetic effect of GA in tobacco-associated human cancer cell lines. In this dataset, we include the expression array data from human lung cancer H1299 cell line with or without the treatment of 5azaC or GA. These data were used to obtain genes upregulated in both 5azaC- orGA-treated H1299 cells.
Project description:Gallic acid is a natural phenolic compound that displays anti-cancer properties in clinically relevant cell culture and rodent models. To date, the molecular mechanism governing the gallic acid-induced cancer cell death process is largely unclear, thus hindering development of novel therapeutics. Therefore, we performed time-course long non-coding RNA sequencing (lncRNA-seq) to reveal the gene expression profiles at the early, middle, and late stages of the gallic acid-induced cell death process in human cervical cancer HeLa cells. This work provides a dataset with differentially expressed genes across different stages of cell death process during the gallic acid induction, which is important for further study on the control of this cell death mechanism.
Project description:MiR-138 has a variety of biological functions because of its capacity to act on different target genes in various cells and tissues; however, the targets of miR-138 in human non-small cell lung cancer cell line H1299 cannot be determined by bioinformatics alone. Thus, H1299 cells overexpressing miR-138 in H1299 cells were subjected to microarray analysis to analyse the differences of gene expression.
2016-05-06 | GSE69482 | GEO
Project description:Human NCI-H1299 non-small lung cancer cell line whole transcriptome sequencing
Project description:This microarray data was assessed in CNOT knockdown or non-treated non small lung cancer cells (A549 and H1299). This microarray data was assessed in melatonin treated compared to non-treated glioblastoma stem like cells (XO1 and XO2).
Project description:Knockdown LRRK1-CAPT in NCI-H1299 lung cancer cell line by two independent siRNAs, to investigate the mechanism of LRRK1-CAPT in regulation of cell proliferation.
Project description:To evaluate involvement of miR-221 and miR-222 in lung cancer, we investigated the effects of miR-221 and miR-222 overexpression on six lung cancer cell lines as well as one immortalized normal human bronchial epithelial cell line. Two cell lines, H3255 and H1299 with no replicates were studied. Cells were transfected with miR-221, miR-222, or miR control. Microarray analysis was done to identify genes differentially expressed in lung cancer cells after the transfection of miR-221 or miR-222.
Project description:We identifled FOSL1 and HDAC2 as master regulators of cancer cell metabolism. To validate their function, we knockdown FOSL1 in pancreatic adenocarcinoma cell line PANC-1 and HDAC2 in lung adenocarcinoma cell line H1299, respectively. Then RNA-seq was performed to investigate the alterations of metabolic genes.
Project description:Daidzein has been found to significantly inhibit the proliferation of lung cancer cells, while its potential molecular mechanisms remain unclear. To determine the molecular mechanism of daidzein on lung cancer cells, the Capital Bio Technology Human long non-coding (lnc)RNA Array v4, 4x180K chip was used to detect the gene expression profiles of 40,000 lncRNAs and 34,000 mRNAs in a human cancer cell line. Reverse transcription-quantitative (RT-q) PCR analysis was performed to detect the expression levels of target lncRNA and mRNAs in the H1299 cells treated with and without daidzein, using the lncRNA and mRNA gene chip. Bioinformatics analysis was performed to determine the differentially expressed genes from the results of the chip assays. There were 119 and 40 differentially expressed lncRNAs and mRNAs, respectively, that had a 2-fold change in expression level. A total of eight lncRNAs were upregulated in the H1299 lung cancer cells, while 111 lncRNAs were downregulated. Furthermore, five mRNAs were upregulated, and 35 mRNAs were downregulated. A total of six differentially expressed lncRNAs (ENST00000608897.1, ENST00000444196.1, ENST00000608741.1, XR_242163.1, ENST00000505196.1 and ENST00000498032.1) were randomly selected to validate the microarray data, which were consistent with the RT-qPCR analysis results. Differentially expressed mRNAs were enriched in important Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. Taken together, the results of the present study demonstrated that daidzein affected the expression level of lncRNAs in lung cancer cells, suggesting that daidzein may have potential effects on lung cancer cells.