mTOR Activation by PI3K/Akt and ERK Signaling in Short ELF-EMF Exposed Human Keratinocytes

Several reports suggest that ELF-EMF exposures interact with biological processes including promotion of cell proliferation. However, the molecular mechanisms by which ELF-EMF controls cell growth are not completely understood. The present study aimed to investigate the effect of ELF-EMF on keratinocytes proliferation and molecular mechanisms involved. Effect of ELF-EMF (50 Hz, 1 mT) on HaCaT cell cycle and cells growth and viability was monitored by FACS analysis and BrdU assay. Gene expression profile by microarray and qRT-PCR validation was performed in HaCaT cells exposed or not to ELF-EMF. mTOR, Akt and MAPKs expressions were evaluated by Western blot analysis. In HaCaT cells, short ELF-EMF exposure modulates distinct patterns of gene expression involved in cell proliferation and in the cell cycle. mTOR activation resulted the main molecular target of ELF-EMF on HaCaT cells. Our data showed the increase of the canonical pathway of mTOR regulation (PI3K/Akt) and activation of ERK signaling pathways. Our results indicate that ELF-EMF selectively modulated the expression of multiple genes related to pivotal biological processes and functions that play a key role in physio-pathological mechanisms such as wound healing.     

Effects of hyperthermia on spermatogenesis, apoptosis, gene expression, and fertility in adult male mice.

Testicular heat shock was used to characterize cellular and molecular mechanisms involved in male fertility. This model is relevant because heat shock proteins (HSPs) are required for spermatogenesis and also protect cells from environmental hazards such as heat, radiation, and chemicals. Cellular and molecular methods were used to characterize effects of testicular heat shock (43 degrees C for 20 min) at different times posttreatment. Mating studies confirmed conclusions, based on histopathology, that spermatocytes are the most susceptible cell type. Apoptosis in spermatocytes was confirmed by TUNEL, and was temporally correlated with the expression of stress-inducible Hsp70-1 and Hsp70-3 proteins in spermatocytes. To further characterize gene expression networks associated with heat shock-induced effects, we used DNA microarrays to interrogate the expression of 2208 genes and thousands more expression sequence tags expressed in mouse testis. Of these genes, 27 were up-regulated and 151 were down-regulated after heat shock. Array data were concordant with the disruption of meiotic spermatogenesis, the heat-induced expression of HSPs, and an increase in apoptotic spermatocytes. Furthermore, array data indicated increased expression of four additional non-HSP stress response genes, and eight cell-adhesion, signaling, and signal-transduction genes. Decreased expression was recorded for 10 DNA repair and recombination genes; 9 protein synthesis, folding, and targeting genes; 9 cell cycle genes; 5 apoptosis genes; and 4 glutathione metabolism genes. Thus, the array data identify numerous candidate genes for further analysis in the heat-shocked testis model, and suggest multiple possible mechanisms for heat shock-induced infertility.     

Genome-wide analysis of gene expression in human embryonic tooth germ

While numerous genes that play important regulatory roles during tooth development in mice have been identified, little is known about gene expression profile and their function during human odontogenesis. To unveil expression profile of odontogenic genes in humans, we conducted genome-wide gene expression analysis by microarray assays to analyze differential gene expression between tooth germ and lip tissue from 11-week old human fetuses. We identified 167 genes that are strongly expressed in the cap stage tooth germ as compared to the lip tissue. Among them, 145 genes were further identified by gene ontology enrichment analysis that are highly represented in multiple gene ontology classes, include extracellular components, sequence-specific DNA binding proteins, Wnt-protein binding molecules, system development, organogenesis, and cell differentiation. Sixty-seven genes that are known to be associated with mammalian tooth development and tooth abnormalities were identified. Real-time PCR was further employed to validate microarray data. Moreover, in situ hybridization assay demonstrated tooth type specific expression of ISL1 and BARX1 in the incisor, canine, and molar respectively, consistent with microarray results. Our results represent a set of reliable data that could provide a solid base for future elaboration of molecular mechanisms underlying human tooth development.     

Changes of neuron-specific and apoptosis gene expression levels after ventromedial hypothalamic lesions in rat intestine

The intestinal epithelium is continuously renewed through a balance between cell proliferation and apoptosis. We identified genes of which expression profiles showed significant modulation, and we investigated the cellular mechanisms of this gene regulation in rat intestine after ventromedial hypothalamic (VMH) lesions. Total RNA was extracted, and differences in the gene expression profiles between rats at day 3 after VMH lesioning and in sham-VMH lesioned rats were investigated using DNA microarray analysis and real-time polymerase chain reaction (PCR) methods. DNA microarray analysis revealed that VMH lesions regulated the genes that were involved in functions predominantly related to neuronal development, cell proliferation and apoptosis. Real-time PCR also confirmed that gene expressions of Efnb1 were downregulated. Meanwhile, expression of Casp3 was similar. It is noted that the signaling networks of many gene families, including neuron-specific genes and apoptosis genes in the intestine were changed after VMH lesioning. VMH lesions may suppress mainly the caspase independent type II pathway for apoptosis and induce cell proliferation in the intestine.     

6天龄与10天龄大鼠的睾丸组织的基因差异表达

通过基因芯片技术,利用Roche-NimbleGen公司制作的大鼠12×135K全基因组表达谱芯片,对日龄为6d和10d的大鼠睾丸组织进行全基因组表达差异分析。结果显示:具有2倍以上的差异表达基因有4298个,其中表达上调的基因共1878个,表达下调的基因共2420个。这些差异表达的基因中有3154个基因具有基因本体注释,参与了154个生物学通路。进一步分析表明具有8倍以上差异表达的基因有13个,这些基因参与了生物学过程、细胞组分和分子功能等基因本体分类,进一步选择3个差异表达的基因,LOC686076、Cxcl6和Trib3,做了实时定量RT-PCR检测。其结果趋势与芯片数据一致。因此,我们初步认为精原干细胞的发生与增殖在大鼠早期的发育过程中已经有大量的基因参与,是一个多基因协调表达的过程。     

Effects of polysaccharides derived from Orostachys japonicus on induction of cell cycle arrest and apoptotic cell death in human colon cancer cells

Crude Orostachys japonicus polysaccharide extract (OJP) was prepared by hot steam extraction. Polysaccharides (OJPI) were separated from OJP by gel filtration chromatography and phenol-sulfuric acid assay. The average molecular weight of the OJPI was 30-50 kDa. The anti-proliferative effect of OJPI on HT-29 human colon cancer cells was investigated via morphology study, cell viability assay, apoptosis assay, cell cycle analysis, and cDNA microarray. OJPI inhibited proliferation and growth of HT29 cells and also stimulated apoptosis in a dose- and time-dependent manner. In cell cycle analysis, treatment with OJPI resulted in a marked increase of cells in the G0 (sub G1) and G2/M phases. To screen for genes involved in the induction of cell cycle arrest and apoptosis, the gene expression profiles of HT-29 cells treated with OJPI were examined by cDNA microarray, revealing that a number of genes were up- or down-regulated by OJPI. Whereas several genes involved in anti-apoptosis, cell proliferation and growth, and cell cycle regulation were down-regulated, expression levels of several genes involved in apoptosis, tumor suppression, and other signal transduction events were up-regulated. These results suggest that OJPI inhibits the growth of HT-29 human colon cancer cells by various apoptosis-aiding activities as well as apoptosis itself. Therefore, OJPI deserve further development as an effective agent exhibiting anticancer activity.     

Spotlight on differentially expressed genes in urinary bladder cancer

Introduction

We previously identified common differentially expressed (DE) genes in bladder cancer (BC). In the present study we analyzed in depth, the expression of several groups of these DE genes.

Materials and Methods

Samples from 30 human BCs and their adjacent normal tissues were analyzed by whole genome cDNA microarrays, qRT-PCR and Western blotting. Our attention was focused on cell-cycle control and DNA damage repair genes, genes related to apoptosis, signal transduction, angiogenesis, as well as cellular proliferation, invasion and metastasis. Four publicly available GEO Datasets were further analyzed, and the expression data of the genes of interest (GOIs) were compared to those of the present study. The relationship among the GOI was also investigated. GO and KEGG molecular pathway analysis was performed to identify possible enrichment of genes with specific biological themes.

Results

Unsupervised cluster analysis of DNA microarray data revealed a clear distinction in BC vs. control samples and low vs. high grade tumors. Genes with at least 2-fold differential expression in BC vs. controls, as well as in non-muscle invasive vs. muscle invasive tumors and in low vs. high grade tumors, were identified and ranked. Specific attention was paid to the changes in osteopontin (OPN, SPP1) expression, due to its multiple biological functions. Similarly, genes exhibiting equal or low expression in BC vs. the controls were scored. Significant pair-wise correlations in gene expression were scored. GO analysis revealed the multi-facet character of the GOIs, since they participate in a variety of mechanisms, including cell proliferation, cell death, metabolism, cell shape, and cytoskeletal re-organization. KEGG analysis revealed that the most significant pathway was that of Bladder Cancer (p = 1.5×10⁻³¹).

Conclusions

The present work adds to the current knowledge on molecular signature identification of BC. Such works should progress in order to gain more insight into disease molecular mechanisms.     

Microarray analysis of differentially expressed genes engaged in fruit development between table and wine grape

Microarray analysis of genes can provide individual gene-expression profiles and new insights for elucidating biological mechanisms responsible for fruit development. To obtain an overall view on expression profiles of metabolism-related genes involved in fruit development of table and wine grapes, a microarray system comprising 15,403 ESTs was used to compare the expressed genes. The expression patterns from the microarray analysis were validated with quantitative real-time polymerase chain reaction analysis of 18 selected genes of interest. During the entire fruit development stage, 2,493 genes exhibited at least 2.0-fold differences in expression levels with 1,244 genes being up-regulated and 1,249 being down-regulated. Following gene ontology analysis, only 929 differentially expressed (including 403 up-regulated and 526 down-regulated) genes were annotated in table and wine grapes. These differentially expressed genes were found to be mainly involved in carbohydrate metabolism, biosynthesis of secondary metabolites as well as energy, lipid and amino acid metabolism via KEGG. Our results provide new insights into the molecular mechanisms and expression profiles of genes in the fruit development stage of table and wine grapes.     

Cytotoxicity of sodium selenite in HaCaT cells induces cell death and alters the mRNA expression of PUMA,ATR, and mTOR genes

BackgroundBy identifying the molecular mechanisms underlying sodium selenite (Na₂SeO₃) cytotoxicity during exposure in non-tumor cells (HaCaT cells), we will improve the current understanding of its antiproliferative effects and modulation of gene expression in the main pathways related to the cell cycle, cell death, oxidative stress, and DNA damage and repair.MethodsNon-tumor HaCaT cells were treated with Na₂SeO₃ to induce cytotoxicity, and the effects were investigated using an MTT assay (cell viability), real-time cell analysis (profiling the cell index), flow cytometry (membrane integrity, cell cycle disruption, and apoptosis), a comet assay (genotoxicity, i.e., DNA damage), and RT-qPCR (mRNA expression of genes).ResultsTreatment with Na₂SeO₃ was cytotoxic at 10 μM, producing morphological changes in cells (cytoplasmic granulations); however, it did not have a genotoxic effect. Na₂SeO₃ induced cell membrane damage, cell death, and cell cycle arrest in HaCaT cells. It also altered the mRNA expression levels of PUMA, ATR, and mTOR genes. However, it had no effect on the mRNA expression of caspases or PARP1, BIRC5, BECN1, and c-MYC genes, suggesting that Na₂SeO₃ causes PUMA-dependent apoptosis in HaCaT cells. The mRNA expression of specific genes related to oxidative stress, DNA damage and repair, and cell cycle control were unchanged by Na₂SeO₃.ConclusionsWe demonstrated the cytotoxic effect of Na₂SeO₃ in HaCaT cells by analyzing mRNA expression patterns, changes in cell morphology, and proliferation kinetics.     

利用GenMAPP筛查鼻咽癌差异表达基因

利用GenMAPP软件对鼻咽癌和正常鼻咽上皮基因微阵列表达谱结果进行分析,筛查鼻咽癌差异表达基因. 结果显示：在17 000个基因中,与正常鼻咽上皮相比,在鼻咽癌中发生2倍以上差异表达的基因共有339个,其中有160个基因在鼻咽癌中表达上调,179个表达下调. 这些基因分别与细胞增殖、基因转录、凋亡、信号转导、DNA损伤修复、肿瘤分化和浸润转移及细胞周期调节等相关. 鼻咽癌的发生发展存在多基因表达调控的改变,对其差异表达基因的研究有助于阐明鼻咽癌发生发展机制.     

Small Activating RNA Restores the Activity of the Tumor Suppressor HIC-1 on Breast Cancer

HIC-1 is a gene that is hypermethylated in cancer, and commonly downregulated in human breast cancer. However, the precise mechanisms and molecular pathways regulated by HIC-1 remain unclear. We assessed HIC-1 expression on a tissue microarray containing 80 cases of breast cancer. We also analyzed its biological function by restoring HIC-1 expression using 5-aza-2′ deoxycytidine (5-CdR) and small-activating RNAs for the reversal of HIC-1 tumor suppressive effects on MCF-7 and MDA-MB-231 cell lines. An Agilent Q44h global expressing microarray was probed after restoring the expression of HIC-1. Data demonstrated that HIC-1 expression was reduced significantly in breast cancer tissues. HIC-1 immunohistochemistry resulted in mean staining scores in cancer tissue and normal ductal epithelia of 3.54 and 8.2, respectively (p<0.01). 5-CdR partially reversed HIC-1 expression, and modulated cell growth and apoptosis. dsHIC1-2998, an saRNA, showed activating efficacy in breast cancer cells. A group of differentially expressed genes were characterized by cDNA microarray. Upon saRNA treatment, genes upregulated included those involved in immune activation, cell cycle interference, the induction of apoptosis, anti-metastasis, and cell differentiation. Downregulated genes included oncogenes and those that play roles in cell invasion, cell growth, and cell division. Our findings may provide valuable resources not only for gene functional studies, but also for potential clinical applications to develop novel drug targets.     

Bayesian modelling of shared gene function

MOTIVATION: Biological assays are often carried out on tissues that contain many cell lineages and active pathways. Microarray data produced using such material therefore reflect superimpositions of biological processes. Analysing such data for shared gene function by means of well-matched assays may help to provide a better focus on specific cell types and processes. The identification of genes that behave similarly in different biological systems also has the potential to reveal new insights into preserved biological mechanisms. RESULTS: In this article, we propose a hierarchical Bayesian model allowing integrated analysis of several microarray data sets for shared gene function. Each gene is associated with an indicator variable that selects whether binary class labels are predicted from expression values or by a classifier which is common to all genes. Each indicator selects the component models for all involved data sets simultaneously. A quantitative measure of shared gene function is obtained by inferring a probability measure over these indicators. Through experiments on synthetic data, we illustrate potential advantages of this Bayesian approach over a standard method. A shared analysis of matched microarray experiments covering (a) a cycle of mouse mammary gland development and (b) the process of in vitro endothelial cell apoptosis is proposed as a biological gold standard. Several useful sanity checks are introduced during data analysis, and we confirm the prior biological belief that shared apoptosis events occur in both systems. We conclude that a Bayesian analysis for shared gene function has the potential to reveal new biological insights, unobtainable by other means. AVAILABILITY: An online supplement and MatLab code are available at http://www.sykacek.net/research.html#mcabf     

Dynamic changes and molecular analysis of cell death in the spinal cord of SJL mice infected with the BeAn strain of Theiler’s murine encephalomyelitis virus

Theiler’s murine encephalomyelitis (TME) is caused by the TME virus (TMEV) and represents an important animal model for multiple sclerosis (MS). Oligodendroglial apoptosis and reduced apoptotic elimination of encephalitogenic leukocytes seem to participate in autoimmune demyelination in MS. The present study quantified apoptotic cells in BeAn–TMEV-induced spinal cord white matter lesions at 14, 42, 98, and 196 days post infection (dpi) using immunostaining. Apoptotic cells were identified by transmission electron microscopy and double-immunofluorescence. The mRNA expression of apoptosis-related genes was investigated using microarray analysis. Oligodendroglial apoptosis was already detected in the predemyelinating phase at 14 dpi. Apoptotic cell numbers peaked at 42 dpi and decreased until 196 dpi partly due to reduced T cell apoptosis. In addition to genes involved in the classical pathways of apoptosis induction, microarray analysis detected the expression of genes related to alternative mechanisms of cell death such as pyroptosis, necroptosis, and endoplasmic reticulum stress. Consequently, oligodendroglial apoptosis is involved in the initiation of the TME demyelination process, whereas the development of apoptosis resistance of T cells potentially favors the maintenance of inflammation and myelin loss.     

Gene expression of rat alveolar type II cells during hyperoxia exposure and early recovery

Alveolar epithelial cell (AEC) injury and repair during hyperoxia exposure and recovery have been investigated for decades, but the molecular mechanisms of these processes are not clear. To identify potentially important genes involved in lung injury and repair, we studied the gene expression profiles of isolated AEC II from control, 48-h hyperoxia-exposed (>95% O(2)), and 1-7 day recovering rats using a DNA microarray containing 10,000 genes. Fifty genes showed significant differential expression between two or more time points (P<0.05, fold change >2). These genes can be classified into 8 unique gene expression patterns. Real-time PCR verified 14 selected genes in three patterns related to hyperoxia exposure and early recovery. The change in the protein level for two of the selected genes, bmp-4 and retnla, paralleled that of the mRNA level. Many of these genes were found to be involved in cell proliferation and differentiation. In an in vitro AEC trans-differentiation culture model using AEC II isolated from control and 48-h hyperoxia-exposed rats, the expressions of the cell proliferation and differentiation genes identified above were consistent with their predicted roles in the trans-differentiation of AEC. These data indicate that a coordinated mechanism may control AEC differentiation during in vivo hyperoxia exposure and recovery as well as during in vitro AEC culture.     

Expression and Functional Studies of Ubiquitin C-Terminal Hydrolase L1 Regulated Genes

Deubiquitinating enzymes (DUBs) have been increasingly implicated in regulation of cellular processes, but a functional role for Ubiquitin C-terminal Hydrolases (UCHs), which has been largely relegated to processing of small ubiquitinated peptides, remains unexplored. One member of the UCH family, UCH L1, is expressed in a number of malignancies suggesting that this DUB might be involved in oncogenic processes, and increased expression and activity of UCH L1 have been detected in EBV-immortalized cell lines. Here we present an analysis of genes regulated by UCH L1 shown by microarray profiles obtained from cells in which expression of the gene was inhibited by RNAi. Microarray data were verified with subsequent real-time PCR analysis. We found that inhibition of UCH L1 activates genes that control apoptosis, cell cycle arrest and at the same time suppresses expression of genes involved in proliferation and migration pathways. These findings are complemented by biological assays for apoptosis, cell cycle progression and migration that support the data obtained from microarray analysis, and suggest that the multi-functional molecule UCH L1 plays a role in regulating principal pathways involved in oncogenesis.     

Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo

MOTIVATION: Gene expression profiling is a powerful approach to identify genes that may be involved in a specific biological process on a global scale. For example, gene expression profiling of mutant animals that lack or contain an excess of certain cell types is a common way to identify genes that are important for the development and maintenance of given cell types. However, it is difficult for traditional computational methods, including unsupervised and supervised learning methods, to detect relevant genes from a large collection of expression profiles with high sensitivity and specificity. Unsupervised methods group similar gene expressions together while ignoring important prior biological knowledge. Supervised methods utilize training data from prior biological knowledge to classify gene expression. However, for many biological problems, little prior knowledge is available, which limits the prediction performance of most supervised methods. RESULTS: We present a Bayesian semi-supervised learning method, called BGEN, that improves upon supervised and unsupervised methods by both capturing relevant expression profiles and using prior biological knowledge from literature and experimental validation. Unlike currently available semi-supervised learning methods, this new method trains a kernel classifier based on labeled and unlabeled gene expression examples. The semi-supervised trained classifier can then be used to efficiently classify the remaining genes in the dataset. Moreover, we model the confidence of microarray probes and probabilistically combine multiple probe predictions into gene predictions. We apply BGEN to identify genes involved in the development of a specific cell lineage in the C. elegans embryo, and to further identify the tissues in which these genes are enriched. Compared to K-means clustering and SVM classification, BGEN achieves higher sensitivity and specificity. We confirm certain predictions by biological experiments. AVAILABILITY: The results are available at http://www.csail.mit.edu/~alanqi/projects/BGEN.html.