Microarray analysis: a novel research tool for cardiovascular scientists and physicians

Napoli, Claudio; Lerman, LO; Sica, Vincenzo; Lerman, Amir; Tajana, G; Nigris, Filomena de

doi:10.1136/heart.89.6.597

Cited by 66 publications

(39 citation statements)

References 80 publications

(55 reference statements)

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“…Changes in the multigene patterns of expression can provide further clues about responses in regulatory mechanisms (Napoli et al, 2003). Microg environments have been shown to elicit both up-or down-regulation of specific genes in a rather wide assay of cell types.…”

Section: Introductionmentioning

confidence: 99%

Effect of simulated microgravity on oxidation-sensitive gene expression in PC12 cells

Kwon

Sartor

Tomlinson

et al. 2006

Advances in Space Research

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Oxygen utilization by and oxygen dependence of cellular processes may be different in biological systems that are exposed to microgravity (micro-g). A baseline in which cellular changes in oxygen sensitive molecular processes occur during micro-g conditions would be important to pursue this question. The objective of this research is to analyze oxidation-sensitive gene expression in a model cell line [rat pheochromocytoma (PC12)] under simulated micro-g conditions. The PC12 cell line is well characterized in its response to oxygen, and is widely recognized as a sensitive model for studying the responses of oxygen-sensitive molecular and cellular processes. This study uses the rotating wall vessel bioreactor (RWV) designed at NASA to simulate micro-g. Gene expression in PC12 cells in response to micro-g was analyzed by DNA microarray technology. The microarray analysis of PC12 cells cultured for 4 days under simulated micro-g under standardized oxygen environment conditions revealed more than 100 genes whose expression levels were changed at least twofold (up-regulation of 65 genes and down-regulation of 39 genes) compared with those from cells in the unit gravity (unit-g) control. This study observed that genes involved in the oxidoreductase activity category were most significantly differentially expressed under micro-g conditions. Also, known oxidation-sensitive transcription factors such as hypoxia-inducible factor-2α, c-myc, and the peroxisome proliferator-activated receptor-γ were changed significantly. Our initial results from the gene expression microarray studies may provide a context in which to evaluate the effect of varying oxygen environments on the background of differential gene regulation of biological processes under variable gravity conditions.

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Section: Introductionmentioning

confidence: 99%

Effect of simulated microgravity on oxidation-sensitive gene expression in PC12 cells

Kwon

Sartor

Tomlinson

et al. 2006

Advances in Space Research

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“…We have a long trust experience with genomics and microarray analysis (reviewed in refs. 23,24). Total RNAs were extracted using Trizol solution (Invitrogen) according to the manufacturer's instructions.…”

Section: Introductionmentioning

confidence: 99%

“…Briefly, 5 Ag of total RNAs from a pool of siRNAYY1-SaOs-2 clones were used to obtain labeled cDNA. The first-and second-strand cDNA synthesis was performed using the GeneChip One-Cycle cDNA Synthesis kit (Affymetrix), as described previously in detail (23,24). Labeled cRNA was prepared using the GeneChip IVT Labeling kit (Affymetrix) according to the manufacturer's instructions.…”

Section: Introductionmentioning

confidence: 99%

Deletion of Yin Yang 1 Protein in Osteosarcoma Cells on Cell Invasion and CXCR4/Angiogenesis and Metastasis

Nigris¹,

Rossiello²,

Schiano³

et al. 2008

Cancer Research

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We know that the Yin Yang 1 protein (YY1) overexpression is positively and strongly correlated with the degree of malignancy of bone tumors. Therefore, we questioned whether we could influence cell invasiveness by deleting YY1 in human osteosarcoma cells (SaOs-2), as tested in Matrigel-coated filters and metastasis implantation of such osteosarcoma cells in vivo, by serial analysis with nuclear magnetic resonance. Moreover, we focused our work on the chemokine receptor CXCR4 and its inhibition by T22 antibody, as well as on systemic (direct in vivo assay) and computer-assisted imaging of angiogenesis-related metastasis. Results showed that cell invasiveness and metastasis implantation by wild-type SaOs-2 cells, as evaluated by histology and immunohistochemistry, are associated with up-regulation of CXCR4 expression, which in turn was significantly reduced by T22. In addition, deletion of YY1 (siRNAYY1-SaOs-2) induced a significant decrease of cell invasion and metastasis growth. This phenomenon was associated with decreased vascular endothelial growth factor (VEGF)/angiogenesis and a complex rearrangement of the gene expression profile as evaluated by microarray analysis. In conclusion, YY1 and VEGF/CXCR4 seem to intervene in the pathogenesis of the malignant phenotype of osteosarcoma by acting on cell invasiveness and metastasis growth. [Cancer Res 2008;68(6):1797-808]

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“…Gene expression data could offer a remarkable detailed patient phenotype that could be used to correctly classify patient populations as to their disease risk or response to therapies. In both cases, genomic data represent a means to distinguish between patients who are otherwise alike by classical clinical variables (Cook and Rosenzweig, 2002;Goldsmith and Dhanasekaran, 2004;Napoli et al, 2003). This is still a work in progress in cardiovascular medical research.…”

Section: Microarray Technologymentioning

confidence: 99%

“…If DNA defines the inherent genetic make up of a person, it is the transcription of the DNA into RNA (that could be translated into protein) that integrates the dynamic interaction of an individual with the environment. Consequently, microarrays provide us with an opportunity to measure mRNA abundance that correlate with a particular disease state, clinical outcome, or therapeutic response, giving us an unprecedented opportunity to investigate the genomic contribution to cardiovascular diseases (Cook and Rosenzweig, 2002;Goldsmith and Dhanasekaran, 2004;Napoli et al, 2003).…”

Section: Gene Expression Profilingmentioning

confidence: 99%

Gene Expression Profiling - A New Approach in the Study of Congenital Heart Disease

Ghorbel¹,

Angelini²,

Caputo³

2012

Front Lines of Thoracic Surgery

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Microarray analysis: a novel research tool for cardiovascular scientists and physicians

Cited by 66 publications

References 80 publications

Effect of simulated microgravity on oxidation-sensitive gene expression in PC12 cells

Effect of simulated microgravity on oxidation-sensitive gene expression in PC12 cells

Deletion of Yin Yang 1 Protein in Osteosarcoma Cells on Cell Invasion and CXCR4/Angiogenesis and Metastasis

Gene Expression Profiling - A New Approach in the Study of Congenital Heart Disease

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