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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 A

PROVIDER: S-ECPF-GEOD-33443 | biostudies-other | 2012

REPOSITORIES: biostudies-other

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Project description:Tomato is one of the most economically and agriculturally important Solanaceous species and vegetable crops, serving as a model for examination of fruit biology and compound leaf development. Cytokinin is a plant hormone linked to the control of leaf development and is known to regulate a wide range of genes including many transcription factors. Currently there is little known of the leaf transcriptome in tomato and how it might be regulated by cytokinin. We employ high throughput mRNA sequencing technology and bioinformatic methodologies to robustly analyze cytokinin regulated tomato leaf transcriptomes. Leaf samples of two ages, 13d and 35d were treated with cytokinin or the solvent vehicle control dimethyl sulfoxide (DMSO) for 2 h or 24 h, after which RNA was extracted for sequencing. To confirm the accuracy of RNA sequencing results, we performed qPCR analysis of select transcripts identified as cytokinin regulated by the RNA sequencing approach. The resulting data provide the first hormone transcriptome analysis of leaves in tomato. Specifically we identified several previously untested tomato orthologs of cytokinin-related genes as well as numerous novel cytokinin-regulated transcripts in tomato leaves. Principal component analysis of the data indicates that length of cytokinin treatment and plant age are the major factors responsible for changes in transcripts observed in this study. Two hour cytokinin treatment showed a more robust transcript response indicated by both greater fold change of induced transcripts and the induction of twice as many cytokinin-related genes involved in signaling, metabolism, and transport in young vs. older leaves. This difference in transcriptome response in younger vs. older leaves was also found to a lesser extent with an extended (24 h) cytokinin treatment. Overall data presented here provides a solid foundation for future study of cytokinin and cytokinin regulated genes involved in compound leaf development or other developmental processes in tomato.

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

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