Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Microarray analysis of gene expression profiles in response to tomato leaves extract treatment in MCF-7 breast cancer cells


ABSTRACT: Microarray analysis was performed to evaluate the global gene expression profiles of MCF-7 breast cancer cells treated with tomato leaves extract (TLE) in 1 hr and 48 hrs of treatment. Several of genes with p < 0.05 and fold-change cut-off <2.00 from human genome had significantly changed after the treatments. Its showed the greatest roles in cancer cells growth and were found either to be down-regulated or up-regulated in cells after the treatment.TLE gave significant expression effects towards several genes such as CRYAB, PIM1, BTG1, CYR61, HIF1A, CEBP-beta, TXNIP, THBS1, HMG1L1 and HIST2H3D genes. These results demonstrate the potent activity of TLE as an anti-cancer agent. We analyzed untreated (0 hr) and treated MCF-7 breast cancer cells (after 1 hr and 48hrs) using the Affymetrix Human Exon 1.0 ST platform. Chip array was scanned by Affymetrix Microarray Suite/GCOS. Experiment were performed in triplicates. Raw data was processed by GeneSpringGX v7.2 (Agilent Technology, USA).

ORGANISM(S): Homo sapiens

SUBMITTER: Amid Azura 

PROVIDER: E-GEOD-33443 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Microarray and quantitative PCR analysis of gene expression profiles in response to treatment with tomato leaf extract in mcf-7 breast cancer cells.

Amid Azura A   Wan Chik Wan Dalila WD   Jamal Parveen P   Hashim Yumi Zuhanis Has-Yun YZ  

Asian Pacific journal of cancer prevention : APJCP 20120101 12


We previously found cytotoxic effects of tomato leaf extract (TLE) on the MCF-7 breast cancer cell line. The aim of this study was to ascertain the molecular mechanisms associated with the usage of TLE as an anticancer agent by microarray analysis using mRNA from MCF-7 breast cancer cells after treatment with TLE for 1 hr and 48 hrs. Approximately 991 genes out of the 30,000 genes in the human genome were significantly (p<0.05) changed after the treatment. Within this gene set, 88 were significa  ...[more]

Similar Datasets

2011-11-05 | GSE33443 | GEO
2023-07-04 | PXD036095 | Pride
2023-12-30 | PXD036101 | Pride
2010-05-15 | E-GEOD-16737 | biostudies-arrayexpress
2011-09-15 | E-GEOD-32161 | biostudies-arrayexpress
2011-09-25 | E-GEOD-24460 | biostudies-arrayexpress
2008-04-05 | E-GEOD-10879 | biostudies-arrayexpress
2008-11-22 | E-GEOD-9093 | biostudies-arrayexpress
2015-04-09 | E-GEOD-57637 | biostudies-arrayexpress
2014-01-24 | E-GEOD-54266 | biostudies-arrayexpress