Mitochondrial-related gene expression profiles suggest an important role of PGC-1alpha in the compensatory mechanism of endemic dilated cardiomyopathy

Keshan disease (KD) is an endemic dilated cardiomyopathy with unclear etiology. In this study, we compared mitochondrial-related gene expression profiles of peripheral blood mononuclear cells (PBMCs) derived from 16 KD patients and 16 normal controls in KD areas. Total RNA was isolated, amplified, labeled and hybridized to Agilent human 4×44k whole genome microarrays. Mitochondrial-related genes were screened out by the Third-Generation Human Mitochondria-Focused cDNA Microarray (hMitChip3). Quantitative real-time PCR, immunohistochemical and biochemical parameters related mitochondrial metabolism were conducted to validate our microarray results. In KD samples, 34 up-regulated genes (ratios≥2.0) were detected by significance analysis of microarrays and ingenuity systems pathway analysis (IPA). The highest ranked molecular and cellular functions of the differentially regulated genes were closely related to amino acid metabolism, free radical scavenging, carbohydrate metabolism, and energy production. Using IPA, 40 significant pathways and four significant networks, involved mainly in apoptosis, mitochondrion dysfunction, and nuclear receptor signaling were identified. Based on our results, we suggest that PGC-1alpha regulated energy metabolism and anti-apoptosis might play an important role in the compensatory mechanism of KD. Our results may lead to the identification of potential diagnostic biomarkers for KD in PBMCs, and may help to understand the pathogenesis of KD.     

Identification of differential gene expression profiles in placentas from preeclamptic pregnancies versus normal pregnancies by DNA microarrays

The purpose of this study was to perform a comprehensive analysis of gene expression profiles in placentas from preeclamptic pregnancies versus normal placentas. Placental tissues were obtained immediately after delivery from women with normal pregnancies (n=6) and patients with preeclampsia (n=6). The gene expression profile was assessed by oligonucleotide-based DNA microarrays and validated by quantitative real-time RT-PCR. Functional relationships and canonical pathways/networks of differentially-expressed genes were evaluated by GeneSpring? GX 11.0 software, and ingenuity pathways analysis (IPA). A total of 939 genes were identified that differed significantly in expression: 483 genes were upregulated and 456 genes were downregulated in preeclamptic placentas compared with normal placentas (fold change ≥ 2 and p<0.05 by unpaired t-test corrected with Bonferroni multiple testing). The IPA revealed that the primary molecular functions of these genes are involved in cellular function and maintenance, cellular development, cell signaling, and lipid metabolism. Pathway analysis provided evidence that a number of biological pathways, including Notch, Wnt, NF-κB, and transforming growth factor-β (TGF-β) signaling pathways, were aberrantly regulated in preeclampsia. In conclusion, our microarray analysis represents a comprehensive list of placental gene expression profiles and various dysregulated signaling pathways that are altered in preeclampsia. These observations may provide the basis for developing novel predictive, diagnostic, and prognostic biomarkers of preeclampsia to improve reproductive outcomes and reduce the risk for subsequent cardiovascular disease.     

Influence of testosterone and a novel SARM on gene expression in whole blood of Macaca fascicularis

Anabolic hormones, including testosterone, have been suggested as a therapy for aging-related conditions, such as osteoporosis and sarcopenia. These therapies are sometimes associated with severe androgenic side effects. A promising alternative to testosterone replacement therapy are selective androgen receptor modulators (SARMs). SARMs have the potential to mimic the desirable central and peripheral androgenic anabolic effects of testosterone without having its side effects.In this study we evaluated the effects of LGD2941, in comparison to testosterone, on mRNA expression of selected target genes in whole blood in an non-human model. The regulated genes can act as potential blood biomarker candidates in future studies with AR ligands.Cynomolgus monkeys (Macaca fascicularis) were treated either with testosterone or LGD2941 for 90 days in order to compare their effects on mRNA expression in blood. Blood samples were taken before SARM application, on day 16 and on day 90 of treatment.Gene expression of 37 candidate genes was measured using quantitative real-time RT-PCR (qRT-PCR) technology.Our study shows that both testosterone and LGD2941 influence mRNA expression of 6 selected genes out of 37 in whole blood. The apoptosis regulators CD30L, Fas, TNFR1 and TNFR2 and the interleukins IL-12B and IL-15 showed significant changes in gene expression between control and the treatment groups and represent potential biomarkers for androgen receptor ligands in whole blood.     

Microarray analysis of the gene expression profile in the midgut of silkworm infected with cytoplasmic polyhedrosis virus

In order to obtain an overall view on silkworm response to Bombyx mori cytoplasmic polyhedrosis virus (BmCPV) infection, a microarray system comprising 22,987 oligonucluotide 70-mer probes was employed to compare differentially expressed genes in the midguts of BmCPV-infected and normal silkworm larvae. At 72 h post-inoculation, 258 genes exhibited at least 2.0-fold differences in expression level. Out of these, 135 genes were up-regulated, while 123 genes were down-regulated. According to gene ontology (GO), 140 genes were classified into GO categories. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicates that 35 genes were involved in 10 significant (P < 0.05) KEGG pathways. The expressions of genes related to valine, leucine, and isoleucine degradation, retinol metabolism, and vitamin B6 metabolism were all down-regulated. The expressions of genes involved in ribosome and proteasome pathway were all up-regulated. Quantitative real-time polymerase chain reaction was performed to validate the expression patterns of 13 selected genes of interest. The results suggest that BmCPV infection resulted in the disturbance of protein and amino acid metabolism and a series of major physiological and pathological changes in silkworm. Our results provide new insights into the molecular mechanism of BmCPV infection and host cell response.     

Differential gene expression from microarray analysis distinguishes woven and lamellar bone formation in the rat ulna following mechanical loading

Formation of woven and lamellar bone in the adult skeleton can be induced through mechanical loading. Although much is known about the morphological appearance and structural properties of the newly formed bone, the molecular responses to loading are still not well understood. The objective of our study was to use a microarray to distinguish the molecular responses between woven and lamellar bone formation induced through mechanical loading. Rat forelimb loading was completed in a single bout to induce the formation of woven bone (WBF loading) or lamellar bone (LBF loading). A set of normal (non-loaded) rats were used as controls. Microarrays were performed at three timepoints after loading: 1 hr, 1 day and 3 days. Confirmation of microarray results was done for a select group of genes using quantitative real-time PCR (qRT-PCR). The micorarray identified numerous genes and pathways that were differentially regulated for woven, but not lamellar bone formation. Few changes in gene expression were evident comparing lamellar bone formation to normal controls. A total of 395 genes were differentially expressed between formation of woven and lamellar bone 1 hr after loading, while 5883 and 5974 genes were differentially expressed on days 1 and 3, respectively. Results suggest that not only are the levels of expression different for each type of bone formation, but that distinct pathways are activated only for woven bone formation. A strong early inflammatory response preceded an increase in angiogenic and osteogenic gene expression for woven bone formation. Furthermore, at later timepoints there was evidence of bone resorption after WBF loading. In summary, the vast coverage of the microarray offers a comprehensive characterization of the early differences in expression between woven and lamellar bone formation.     

Sexual dimorphism of rat liver gene expression: regulatory role of growth hormone revealed by deoxyribonucleic Acid microarray analysis

GH has diverse physiological actions and regulates the tissue-specific expression of numerous genes involved in growth, metabolism, and differentiation. Several of the effects of GH on somatic growth and gene expression are sex dependent and are regulated by pituitary GH secretory patterns, which are sexually differentiated. The resultant sex differences in plasma GH profiles are particularly striking in rodents and are the major determinant of sex differences in pubertal body growth rates and the expression in liver of several cytochrome P450 (CYP) enzymes that metabolize steroids, drugs, and environmental chemicals of importance to endocrinology, pharmacology, and toxicology. DNA microarray analysis was used to identify rat liver-expressed genes that show sexual dimorphism, and to ascertain the role of GH as a regulator of their sexually dimorphic expression. Adult male and female rats were untreated or were treated with GH by 7-d continuous infusion using an Alzet osmotic minipump. Poly(A) RNA was purified from individual livers and Cy3- and Cy5-labeled cDNA probes cohybridized to Pan Rat Liver and 5K Rat Oligonucleotide microarrays representing 5889 unique rat genes. Analysis of differential gene expression profiles identified 37 liver-expressed, female-predominant genes; of these, 27 (73%) were induced by continuous GH treatment of male rats. Moreover, only three of 30 genes up-regulated in male rat liver by continuous GH treatment did not display female-dominant expression. Further analysis revealed that 44 of 49 male-predominant genes (90%) were down-regulated in the livers of continuous GH-treated male rats compared with untreated male rats, whereas only five of 49 genes that were down-regulated in male rats by continuous GH treatment were not male dominant in their expression. Real-time PCR analysis applied to a sampling of 10 of the sexually dimorphic genes identified in the microarray analysis verified their sex- and GH-dependent patterns of regulation. Taken together, these studies establish that GH-regulated gene expression is the major mechanistic determinant of sexually dimorphic gene expression in the rat liver model.     

Transcriptional profiling of Francisella tularensis infected peripheral blood mononuclear cells: a predictive tool for tularemia

In this study, we analyzed temporal gene expression patterns in human peripheral blood mononuclear cells (PBMCs) infected with the Francisella tularensis live vaccine strain from 1 to 24 h utilizing a whole human Affymetrix gene chip. We found that a considerable number of induced genes had similar expression patterns and functions as reported previously for gene expression profiling in patients with ulceroglandular tularemia. Among the six uniquely regulated genes reported for tularemia patients as being part of the alarm signal gene cluster, five, namely caspase 1, PSME2, TAP-1, GBP1, and GCH1, were induced in vitro. We also detected four out of the seven potential biomarkers reported in tularemia patients, namely TNFAIP6 at 4 h and STAT1, TNFSF10, and SECTM1 at 16 and 24 h. These observations underscore the value of using microarray expression profiling as an in vitro tool to identify potential biomarkers for human infection and disease. Our results indicate the potential involvement of several host pathways/processes in Francisella infection, notably those involved in calcium, zinc ion binding, PPAR signaling, and lipid metabolism, which further refines the current knowledge of F. tularensis infection and its effects on the human host. Ultimately, this study provides support for utilizing in vitro microarray gene expression profiling in human PBMCs to identify biomarkers of infection and predict in vivo immune responses to infectious agents.     

A computational approach to measuring coherence of gene expression in pathways

This study uses a computational approach to analyze coherence of expression of genes in pathways. Microarray data were analyzed with respect to coherent gene expression in a group of genes defined as a pathway in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Our hypothesis is that genes in the same pathway are more likely to be coordinately regulated than a randomly selected gene set. A correlation coefficient for each pair of genes in a pathway was estimated based on gene expression in normal or tumor samples, and statistically significant correlation coefficients were identified. The coherence indicator was defined as the ratio of the number of gene pairs in the pathway whose correlation coefficients are significant, divided by the total number of gene pairs in the pathway. We defined all genes that appeared in the KEGG pathways as a reference gene set. Our analysis indicated that the mean coherence indicator of pathways is significantly larger than the mean coherence indicator of random gene sets drawn from the reference gene set. Thus, the result supports our hypothesis. The significance of each individual pathway of n genes was evaluated by comparing its coherence indicator with coherence indicators of 1000 random permutation sets of n genes chosen from the reference gene set. We analyzed three data sets: two Affymetrix microarrays and one cDNA microarray. For each of the three data sets, statistically significant pathways were identified among all KEGG pathways. Seven of 96 pathways had a significant coherence indicator in normal tissue and 14 of 96 pathways had a significant coherence indicator in tumor tissue in all three data sets. The increase in the number of pathways with significant coherence indicators may reflect the fact that tumor cells have a higher rate of metabolism than normal cells. Five pathways involved in oxidative phosphorylation, ATP synthesis, protein synthesis, or RNA synthesis were coherent in both normal and tumor tissue, demonstrating that these are essential genes, a high level of expression of which is required regardless of cell type.     

Identification of novel GH-regulated genes in C2C12 cells

Growth hormone (GH) is the main regulator of longitudinal growth before puberty, and treatment with human recombinant (rh) GH can increase muscle strength. Nevertheless, molecular mechanisms responsible remain mostly unknown. Many physiological effects of GH require hormone-mediated changes in gene expression. In an attempt to gain insight into the mechanism of GH action in muscle cells we evaluated the effects of rhGH on gene expression profile in a murine skeletal muscle cell line C2C12. The objective of the work was to identify changes in gene expression in the murine skeletal muscle cell line C2C12 after rGH treatment using microarray assays. C2C12 murine skeletal muscle cell cultures were differentiated during 4 days. After 16?h growing in serum-free medium, C2C12 myotubes were stimulated during 6?h with 500?ng/ml rhGH. Four independent sets of experiments were performed to identify GH-regulated genes. Total RNA was isolated and subjected to analysis. To validate changes candidate genes were analyzed by real-time quantitative polymerase chain reaction. One hundred and fifty-four differentially expressed genes were identified; 90 upregulated and 64 downregulated. Many had not been previously identified as GH-responsive. Real-time PCR in biological replicates confirmed the effect of rGH on 15 genes: Cish, Serpina3g, Socs2, Bmp4, Tnfrsf11b, Rgs2, Tgfbr3, Ugdh, Npy1r, Gbp6, Tgfbi, Tgtp, Btc, Clec3b, and Bcl6. This study shows modifications in the gene expression profile of the C2C12 cell line after rhGH exposure. In vitro and gene function analysis revealed genes involved in skeletal and muscle system as well as cardiovascular system development and function.     

Differential gene expression of human keratinocyte HaCaT cells induced by fibroblast growth factor 10 treatment

Fibroblast growth factor 10 (FGF10) has multiple biological activities involved in angiogenesis, mitogenesis, cellular differentiation, development, and tissue injury repair. Our previous studies revealed that treatment of FGF10 remarkably stimulated HaCaT cell proliferation and abbreviated cell apoptosis. However, the molecular mechanisms remain largely unknown. The aim of this study was to investigate FGF10-induced modifications in gene expression in the HaCaT cells by using the cDNA microarray technique. The microarray data showed that FGF10 modified the expression of 2117 genes, 861 being up-regulated and 1256 down-regulated, using a threshold of twofold. Eight of nine candidate genes, validated by real-time quantitative polymerase chain reaction (qPCR), were correlated well with the array data. The GenMAPP and MappFinder software packages were further used for pathway analysis of these significantly altered genes. In support of multiple biological functions for FGF10, several gene pathways were found to be involved in processes of cell cycle, DNA repair, apoptosis, development, and wound healing. These data also provide a basis to further investigation of FGF10 molecular mechanisms.     

Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma

Results obtained from expression profilings of renal cell carcinoma using different “ome”‐based approaches and comprehensive data analysis demonstrated that proteome‐based technologies and cDNA microarray analyses complement each other during the discovery phase for disease‐related candidate biomarkers. The integration of the respective data revealed the uniqueness and complementarities of the different technologies. While comparative cDNA microarray analyses though restricted to up‐regulated targets largely revealed genes involved in controlling gene/protein expression (19%) and signal transduction processes (13%), proteomics/PROTEOMEX‐defined candidate biomarkers include enzymes of the cellular metabolism (36%), transport proteins (12%), and cell motility/structural molecules (10%). Candidate biomarkers defined by proteomics and PROTEOMEX are frequently shared, whereas the sharing rate between cDNA microarray and proteome‐based profilings is limited. Putative candidate biomarkers provide insights into their cellular (dys)function and their diagnostic/prognostic value but still warrant further validation in larger patient numbers. Based on the fact that merely three candidate biomarkers were shared by all applied technologies, namely annexin A4, tubulin α‐1A chain, and ubiquitin carboxyl‐terminal hydrolase L1, the analysis at a single hierarchical level of biological regulation seems to provide only limited results thus emphasizing the importance and benefit of performing rather combinatorial screenings which can complement the standard clinical predictors.