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A microarray gene analysis of peripheral whole blood in normal adult male rats after long-term GH gene therapy.

Qin Y, Tian YP

Department of Clinical Biochemistry, Chinese PLA General Hospital, 28 Fu-Xing Road, Beijing, 100853, P.R. China, yqrr54@yahoo.com.cn.

The main aims of this study were to determine the effects of GH gene abuse/misuse in normal animals and to discover genes that could be used as candidate biomarkers for the detection of GH gene therapy abuse/misuse in humans. We determined the global gene expression profile of peripheral whole blood from normal adult male rats after long-term GH gene therapy using CapitalBio 27 K Rat Genome Oligo Arrays. Sixty one genes were found to be differentially expressed in GH gene-treated rats 24 weeks after receiving GH gene therapy, at a two-fold higher or lower level compared to the empty vector group (p < 0.05). These genes were mainly associated with angiogenesis, oncogenesis, apoptosis, immune networks, signaling pathways, general metabolism, type I diabetes mellitus, carbon fixation, cell adhesion molecules, and cytokine-cytokine receptor interaction. The results imply that exogenous GH gene expression in normal subjects is likely to induce cellular changes in the metabolism, signal pathways and immunity. A real-time qRT-PCR analysis of a selection of the genes confirmed the microarray data. Eight differently expressed genes were selected as candidate biomarkers from among these 61 genes. These 8 showed five-fold higher or lower expression levels after the GH gene transduction (p < 0.05). They were then validated in real-time PCR experiments using 15 single-treated blood samples and 10 control blood samples. In summary, we detected the gene expression profiles of rat peripheral whole blood after long-term GH gene therapy and screened eight genes as candidate biomarkers based on the microarray data. This will contribute to an increased mechanistic understanding of the effects of chronic GH gene therapy abuse/misuse in normal subjects.

Published 1 February 2010 in Cell Mol Biol Lett.
Full-text of this article is available online (may require subscription).


Articles on Microarrays published 1 February 2010:

SoFoCles: Feature filtering for microarray classification based on Gene Ontology.   J Biomed Inform, 43(1): 1-14.

Marker gene selection has been an important research topic in the classification analysis of gene expression data. Current methods try to reduce the "curse of dimensionality" by using statistical intra-feature set calculations, or classifiers that are based on the given dataset. In this paper, we present SoFoCles, an interactive tool that enables semantic feature filtering in microarray classification problems with the use of external, well-defined knowledge retrieved from the Gene ... [Abstract] [Full-text]

Pineal function: Impact of microarray analysis.   Mol Cell Endocrinol, 314(2): 170-83.

Microarray analysis has provided a new understanding of pineal function by identifying genes that are highly expressed in this tissue relative to other tissues and also by identifying over 600 genes that are expressed on a 24-h schedule. This effort has highlighted surprising similarity to the retina and has provided reason to explore new avenues of study including intracellular signaling, signal transduction, transcriptional cascades, thyroid/retinoic acid hormone signaling, metal biology, RNA ... [Abstract] [Full-text]

Development of a microarray for identification of pathogenic Clostridium spp.   Diagn Microbiol Infect Dis, 66(2): 140-147.

In recent years, Clostridium spp. have rapidly reemerged as human and animal pathogens. The detection and identification of pathogenic Clostridium spp. is therefore critical for clinical diagnosis and antimicrobial therapy. Traditional diagnostic techniques for clostridia are laborious, are time consuming, and may adversely affect the therapeutic outcome. In this study, we developed an oligonucleotide diagnostic microarray for pathogenic Clostridium spp. The microarray specificity was tested ... [Abstract] [Full-text]

Development and clinical evaluation of a microarray for hepatitis C virus genotyping.   J Virol Methods, 163(2): 269-275.

The hepatitis C virus (HCV) genotype is the most important factor in predicting the outcome of chronic hepatitis C treatment. Therefore, convenient and accurate HCV genotyping methods for routine laboratory testing are needed. In this study, to identify the HCV genotypes, an oligonucleotide DNA chip was designed using 15 probes from the 5'-untranslated region. Reverse transcription was combined with asymmetric polymerase chain reaction (PCR) to obtain an amplified product for hybridization ... [Abstract] [Full-text]

Gene expression profiles in the common marmoset brain determined using a newly developed common marmoset-specific DNA microarray.   Neurosci Res, 66(1): 62-85.

To facilitate common marmoset brain research, we produced a DNA microarray with 7557 probe sets derived from the common marmoset brain. Gene expression profiles in the frontal lobe, hippocampus, cerebellum and amygdaloid nucleus were then analyzed and the top 100 probe sets expressed in each structure were compared. The three lists for the frontal lobe, hippocampus and amygdaloid nucleus were very similar but the probe sets for the cerebellum demonstrated specific differences. Some of the genes ... [Abstract] [Full-text]

Ensemble gene selection by grouping for microarray data classification.   J Biomed Inform, 43(1): 81-87.

Selecting relevant and discriminative genes for sample classification is a common and critical task in gene expression analysis (e.g. disease diagnostic). It is desirable that gene selection can improve classification performance of learning algorithm effectively. In general, for most gene selection methods widely used in reality, an individual gene subset will be chosen according to its discriminative power. One of deficiencies of individual gene subset is that its contribution to ... [Abstract] [Full-text]

Whole genome microarray analysis of chicken embryo facial prominences.   Dev Dyn, 239(2): 574-91.

The face is one of the three regions most frequently affected by congenital defects in humans. To understand the molecular mechanisms involved, it is necessary to have a more complete picture of gene expression in the embryo. Here, we use microarrays to profile expression in chicken facial prominences, post neural crest migration and before differentiation of mesenchymal cells. Chip-wide analysis revealed that maxillary and mandibular prominences had similar expression profiles while the ... [Abstract] [Full-text]

A diagnostic oligonucleotide microarray for simultaneous detection of grapevine viruses.   J Virol Methods, 163(2): 445-451.

At least 58 viruses have been reported to infect grapevines causing economic damage globally. Conventional detection strategies based on serological assays, biological indexing and RT-PCR targeting one or few viruses in each assay are widely used. Grapevines are prone to contain mixed infections of several viruses, making the use of these techniques time-consuming. A 70-mer oligonucleotide microarray able to detect simultaneously a broad spectrum of known viruses as well as new viruses by ... [Abstract] [Full-text]


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Microarrays Books

Statistical Analysis of Gene Expression Microarray Data

Statistical Analysis of Gene Expression Microarray Data