Small interfering RNA against transcription factor STAT6 leads to increased cholesterol synthesis in lung cancer cell lines

STAT6 transcription factor has become a potential molecule for therapeutic intervention because it regulates broad range of cellular processes in a large variety of cell types. Although some target genes and interacting partners of STAT6 have been identified, its exact mechanism of action needs to b...

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Veröffentlicht in:PloS one 2011-12, Vol.6 (12), p.e28509-e28509
Hauptverfasser: Dubey, Richa, Chhabra, Ravindresh, Saini, Neeru
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Saini, Neeru
description STAT6 transcription factor has become a potential molecule for therapeutic intervention because it regulates broad range of cellular processes in a large variety of cell types. Although some target genes and interacting partners of STAT6 have been identified, its exact mechanism of action needs to be elucidated. In this study, we sought to further characterize the molecular interactions, networks, and functions of STAT6 by profiling the mRNA expression of STAT6 silenced human lung cells (NCI-H460) using microarrays. Our analysis revealed 273 differentially expressed genes after STAT6 silencing. Analysis of the gene expression data with Ingenuity Pathway Analysis (IPA) software revealed Gene expression, Cell death, Lipid metabolism as the functions associated with highest rated network. Cholesterol biosynthesis was among the most enriched pathways in IPA as well as in PANTHER analysis. These results have been validated by real-time PCR and cholesterol assay using scrambled siRNA as a negative control. Similar findings were also observed with human type II pulmonary alveolar epithelial cells, A549. In the present study we have, for the first time, shown the inverse relationship of STAT6 with the cholesterol biosynthesis in lung cancer cells. The present findings are potentially significant to advance the understanding and design of therapeutics for the pathological conditions where both STAT6 and cholesterol biosynthesis are implicated viz. asthma, atherosclerosis etc.
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Although some target genes and interacting partners of STAT6 have been identified, its exact mechanism of action needs to be elucidated. In this study, we sought to further characterize the molecular interactions, networks, and functions of STAT6 by profiling the mRNA expression of STAT6 silenced human lung cells (NCI-H460) using microarrays. Our analysis revealed 273 differentially expressed genes after STAT6 silencing. Analysis of the gene expression data with Ingenuity Pathway Analysis (IPA) software revealed Gene expression, Cell death, Lipid metabolism as the functions associated with highest rated network. Cholesterol biosynthesis was among the most enriched pathways in IPA as well as in PANTHER analysis. These results have been validated by real-time PCR and cholesterol assay using scrambled siRNA as a negative control. Similar findings were also observed with human type II pulmonary alveolar epithelial cells, A549. 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subjects Allergies
Alveoli
Analysis
Annexin A5 - pharmacology
Apoptosis
Arteriosclerosis
Asthma
Atherosclerosis
Biology
Biosynthesis
Cancer
Carcinoma - metabolism
Cell death
Cell Line, Tumor
Cholesterol
Cholesterol - chemistry
Cholesterol - metabolism
Computational Biology - methods
Cytokines
Data processing
Deoxyribonucleic acid
DNA
DNA microarrays
Down-Regulation
Epithelial cells
Fluorides
Forkhead Transcription Factors - metabolism
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Silencing
Genes
Genomics
Health aspects
Hepatitis
Humans
Inflammation
Kinases
Lipid metabolism
Lipids
Lung cancer
Lung diseases
Lung Neoplasms - metabolism
Lymphoma
Medicine
Metabolism
Molecular interactions
Oligonucleotide Array Sequence Analysis
Promoter Regions, Genetic
Proteins
Ribonucleic acid
RNA
RNA, Small Interfering - metabolism
Rodents
siRNA
Stat6 protein
STAT6 Transcription Factor - metabolism
Transcription factors
Transcription, Genetic
Tumor cell lines
title Small interfering RNA against transcription factor STAT6 leads to increased cholesterol synthesis in lung cancer cell lines
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