Different coexpressions of arthritis-relevant genes between different body organs and different brain regions in the normal mouse population

Structural changes in different parts of the brain in rheumatoid arthritis (RA) patients have been reported. RA is not regarded as a brain disease. Body organs such as spleen and lung produce RA-relevant genes. We hypothesized that the structural changes in the brain are caused by changes of gene expression in body organs. Changes in different parts of the brain may be affected by altered gene expressions in different body organs. This study explored whether an association between gene expressions of an organ or a body part varies in different brain structures. By examining the association of the 10 most altered genes from a mouse model of spontaneous arthritis in a normal mouse population, we found two groups of gene expression patterns between five brain structures and spleen. The correlation patterns between the prefrontal cortex, nucleus accumbens, and spleen were similar, while the associations between the other three parts of the brain and spleen showed a different pattern. Among overall patterns of the associations between body organs and brain structures, spleen and lung had a similar pattern, and patterns for kidney and liver were similar. Analysis of the five additional known arthritis-relevant genes produced similar results. Analysis of 10 nonrelevant-arthritis genes did not result in a strong association of gene expression or clearly segregated patterns. Our data suggest that abnormal gene expressions in different diseased body organs may influence structural changes in different brain parts.     

The RNA expression signature of the HepG2 cell line as determined by the integrated analysis of miRNA and mRNA expression profiles

Understanding miRNAs' regulatory networks and target genes could facilitate the development of therapies for human diseases such as cancer. Although much useful gene expression profiling data for tumor cell lines is available, microarray data for miRNAs and mRNAs in the human HepG2 cell line have only been compared with that of other cell lines separately. The relationship between miRNAs and mRNAs in integrated expression profiles for HepG2 cells is still unknown. To explore the miRNA–mRNA correlations in hepatocellular carcinoma (HCC) cells, we performed miRNA and mRNA expression profiling in HepG2 cells and normal liver HL-7702 cells at the genome scale using next-generation sequencing technology. We identified 193 miRNAs that are differentially expressed in these two cell lines. Of these, 89 miRNAs were down-regulated in HepG2 cells compared with HL-7702 cells, while 104 miRNAs were up-regulated. We also observed 3035 mRNAs that are significantly dys-regulated in HepG2 cells. We then performed an integrated analysis of the expression data for differentially expressed miRNAs and mRNAs and found several miRNA–mRNA pairs that are significantly correlated in HepG2 cells. Further analysis suggested that these differentially expressed genes were enriched in four tumorigenesis-related signaling pathways, namely, ErbB, JAK–STAT, mTOR, and WNT, which until now had not been fully reported. Our results could be helpful in understanding the mechanisms of HCC occurrence and development.     

Gene expression signature of human HepG2 cell line

Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and is associated with various clinico-pathological characteristics such as genetic mutations and viral infections. Therefore, numerous laboratories look out for identifying always new putative markers for the improvement of HCC diagnosis/prognosis. Many molecular profiling studies investigated gene expression changes related to HCC. HepG2 represents a pure cell line of human liver carcinoma, often used as HCC model due to the absence of viral infection. In this study we compare gene expression profiles associated with HepG2 (as HCC model) and normal hepatocyte cells by microarray technology. Hierarchical cluster analysis of genes evidenced that 2646 genes significantly down-regulated in HepG2 cells compared to hepatocytes whereas a further 3586 genes significantly up-regulated. By using the Ingenuity Pathway Analysis (IPA) program, we have classified the genes that were differently expressed and studied the functional networks correlating these genes in the complete human interactome. Moreover, to confirm the differentially expressed genes as well as the reliability of our microarray data, we performed a quantitative Real time RT-PCR analysis on 9 up-regulated and 11 down-regulated genes, respectively. In conclusion this work i) provides a gene signature of human hepatoma cells showing genes that change their expression as a consequence of liver cancer in the absence of any genetic mutations or viral infection, ii) evidences new differently expressed genes found in our signature compared to previous published studies and iii) suggests some genes on which to focus future studies to understand if they can be used to improve the HCC prognosis/diagnosis.     

Methyltransferase-inhibition interferes with neuronal differentiation of P19 embryonal carcinoma cells

We have analyzed the importance of substrate methylation by S-adenosylmethionine-dependent methyltransferases for neuronal differentiation of P19 embryonal carcinoma cells. We show that treatment of cells with methyltransferase inhibitor adenosine dialdehyde (AdOx) interferes with neuronal differentiation. Retinoic acid (RA) and AdOx co-treated cells had a decreased number of neurites and a flattened morphology compared with cells differentiated by RA. Also, the amount of neuronal class III tubulin (Tuj1) decreased from 76% to 9.6% with AdOx-treatment. Gene expression levels of wnt-1, brn-2, neuroD, and mash-1 were also down-regulated by AdOx-treatment. But AdOx-treatment did not up-regulate BMP-4 and GFAP genes. Treatment of RA decreased E-cadherin expression during neuronal differentiation. However, in AdOx/RA co-treated cells, E-cadherin expression was restored to the control level. Also, mRNA expression of N-cadherin decreased with AdOx-treatment. Taken together, these data show that methylation reactions might influence the cell-fate decision and neuronal differentiation of P19 cells.     

Dickkopf‐3 alters the morphological response to retinoic acid during neuronal differentiation of human embryonal carcinoma cells

Dickkopf‐3 (Dkk‐3) and Dkkl‐1 (Soggy) are secreted proteins of poorly understood function that are highly expressed in subsets of neurons in the brain. To explore their potential roles during neuronal development, we examined their expression in Ntera‐2 (NT2) human embryonal carcinoma cells, which differentiate into neurons upon treatment with retinoic acid (RA). RA treatment increased the mRNA and protein levels of Dkk‐3 but not of Dkkl‐1. Ectopic expression of both Dkk‐3 and Dkkl‐1 induced apoptosis in NT2 cells. Gene silencing of Dkk‐3 did not affect NT2 cell growth or differentiation but altered their response to RA in suspension cultures. RA treatment of NT2 cells cultured in suspension resulted in morphological changes that led to cell attachment and flattening out of cell aggregates. Although there were no significant differences in the expression levels of cell adhesion molecules in control and Dkk‐3‐silenced cells, this morphological response was not observed in Dkk‐3‐silenced cells. These findings suggest that Dkk‐3 plays a role in the regulation of cell interactions during RA‐induced neuronal differentiation. © 2014 Wiley Periodicals, Inc. Develop Neurobiol 74: 1243–1254, 2014