Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-42407
PROVIDER: PRJNA181340 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from AK4 overexpression in CL1-0 lung cancer cell line and AK4 knockdown in CL1-5 lung cancer cell line
| PRJNA165139 | ENA
Project description:Expression data from PSAT1 overexpression in CL1-0 lung cancer cell line and PSAT1 knockdown in CL1-5 lung cancer cell line.
| PRJNA305871 | ENA
Project description:Expression data from FSTL1 antibody treatment for 6 hours in CL1-0 lung cancer cell line.
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Project description:A lung cancer cell model of invasive transformation was developed to select progressively invasive cell populations from a parental cell line of human lung adenocarcinoma, CL1. Five progressive sub-clones namely, CL1-1, CL1-2, CL1-3 CL1-4, and CL1-5 were selected using transwell and displayed increasing invasion potential (Chu et al, 1997). Here, we used microarrays to analyze and compare gene expression profiles between CL1-0 and CL1-5 for the identification of invasion/metastasis associated gene signatures.
2012-12-11 | GSE42407 | GEO
Project description:A lung cancer cell model of invasive transformation was developed to select progressively invasive cell populations from a parental cell line of human lung adenocarcinoma, CL1. Five progressive sub-clones namely, CL1-1, CL1-2, CL1-3 CL1-4, and CL1-5 were selected using transwell and displayed increasing invasion potential (Chu et al, 1997). Here, we used microarrays to analyze and compare gene expression profiles between CL1-0 and CL1-5 for the identification of invasion/metastasis associated gene signatures. CL1-0 and CL1-5 lung cancer cell lines were used for RNA extraction and hybridization on Affymetrix microarrays. A total of 6 chips were used for microarray analysis including three biological repeats from CL1-0 and three biological repeats from CL1-5.
2012-12-11 | E-GEOD-42407 | biostudies-arrayexpress
Project description:Expression data from CL1-0 and CL1-5 lung cancer cell line.
2015-08-25 | E-GEOD-42407 | ExpressionAtlas
Project description:Highly metastatic cancer cells have been observed to move directionally in response to direct current (dc) electric fields (EFs) of physiological strength. The phenomenon, which is called electrotaxis or galvanotaxis, suggests the involvement of physiological EF in cancer metastasis. To explore this conjecture, we compared the influence of dcEF on gene expressions of a highly invasive (CL1-5) and a low invasive (CL1-0) lung cancer cell lines. Gene expression of human lung cancer cells with (experimental samples) or without (control samples) dcEF stimulation in physiological strength was analyzed. Two cell lines, CL1-0 and CL1-5, were treated with the same condition and compared in this study. Each condition has three biological replicates for each cell line.
2013-01-01 | E-GEOD-33845 | biostudies-arrayexpress
Project description:Highly metastatic cancer cells have been observed to move directionally in response to direct current (dc) electric fields (EFs) of physiological strength. The phenomenon, which is called electrotaxis or galvanotaxis, suggests the involvement of physiological EF in cancer metastasis. To explore this conjecture, we compared the influence of dcEF on gene expressions of a highly invasive (CL1-5) and a low invasive (CL1-0) lung cancer cell lines.
2013-01-01 | GSE33845 | GEO
Project description:We demonstrate that AK4 down-regulation shRNAs significantly reduced cell migration and invasion in highly invasive lung cancer cell lines in vitro, as well as in lung metastases in vivo We used microarrays to analyze the AK4 regulated gene expression underlying invasion-metastasis cascade. CL1-0 lung adenocarcinoma cells with AK4 overexpression and CL1-5 cells with AK4 knockdown were selected for RNA extraction and hybridization on Affymetrix microarrays.
2012-12-03 | E-GEOD-37903 | biostudies-arrayexpress
Project description:MITF is a transcription factor and identified as a oncoprotein in melanoma, but its role in lung adenoacrcinoma is still unknown. This study sought to investigate the effects of MITF on the biological behavior and global gene expression profiles in lung adenocacinoma cells. We used expression microarrays to identify the global gene alterations in lung adenocacinoma cell line, CL1-0 cells after ectopic expressing three shRNA for knockdown MITF expression.
2023-03-12 | GSE146868 | GEO