Expression Of Various Pathways Research Articles

Comprehensive analysis of the long noncoding RNA HOXA11-AS gene interaction regulatory network in NSCLC cells.

BackgroundLong noncoding RNAs (lncRNAs) are related to different biological processes in non-small cell lung cancer (NSCLC). However, the possible molecular mechanisms underlying the effects of the long noncoding RNA HOXA11-AS (HOXA11 antisense RNA) in NSCLC are unknown.MethodsHOXA11-AS was knocked down in the NSCLC A549 cell line and a high throughput microarray assay was applied to detect changes in the gene profiles of the A549 cells. Bioinformatics analyses (gene ontology (GO), pathway, Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses) were performed to investigate the potential pathways and networks of the differentially expressed genes. The molecular signatures database (MSigDB) was used to display the expression profiles of these differentially expressed genes. Furthermore, the relationships between the HOXA11-AS, de-regulated genes and clinical NSCLC parameters were verified by using NSCLC patient information from The Cancer Genome Atlas (TCGA) database. In addition, the relationship between HOXA11-AS expression and clinical diagnostic value was analyzed by receiver operating characteristic (ROC) curve.ResultsAmong the differentially expressed genes, 277 and 80 genes were upregulated and downregulated in NSCLC, respectively (fold change ≥2.0, P < 0.05 and false discovery rate (FDR) < 0.05). According to the degree of the fold change, six upregulated and three downregulated genes were selected for further investigation. Only four genes (RSPO3, ADAMTS8, DMBT1, and DOCK8) were reported to be related with the development or progression of NSCLC based on a PubMed search. Among all possible pathways, three pathways (the PI3K-Akt, TGF-beta and Hippo signaling pathways) were the most likely to be involved in NSCLC development and progression. Furthermore, we found that HOXA11-AS was highly expressed in both lung adenocarcinoma and squamous cell carcinoma based on TCGA database. The ROC curve showed that the area under curve (AUC) of HOXA11-AS was 0.727 (95% CI 0.663–0.790) for lung adenocarcinoma and 0.933 (95% CI 0.906–0.960) for squamous cell carcinoma patients. Additionally, the original data from TCGA verified that ADAMTS8, DMBT1 and DOCK8 were downregulated in both lung adenocarcinoma and squamous cell carcinoma, whereas RSPO3 expression was upregulated in lung adenocarcinoma and downregulated in lung squamous cell carcinoma. For the other five genes (STMN2, SPINK6, TUSC3, LOC100128054, and C8orf22), we found that STMN2, TUSC3 and C8orf22 were upregulated in squamous cell carcinoma and that STMN2 and USC3 were upregulated in lung adenocarcinoma. Furthermore, we compared the correlation between HOXA11-AS and de-regulated genes in NSCLC based on TCGA. The results showed that the HOXA11-AS expression was negatively correlated with DOCK8 in squamous cell carcinoma (r = −0.124, P = 0.048) and lung adenocarcinoma (r = −0.176, P = 0.005). In addition, RSPO3, ADAMTS8 and DOCK8 were related to overall survival and disease-free survival (all P < 0.05) of lung adenocarcinoma patients in TCGA.ConclusionsOur results showed that the gene profiles were significantly changed after HOXA11-AS knock-down in NSCLC cells. We speculated that HOXA11-AS may play an important role in NSCLC development and progression by regulating the expression of various pathways and genes, especially DOCK8 and TGF-beta pathway. However, the exact mechanism should be verified by functional experiments.

Proteomic analysis of Brucella suis under oxygen deficiency reveals flexibility in adaptive expression of various pathways

Low oxygen tension was proposed to be one of the environmental parameters characteristic of the patho-physiological conditions of natural infections by Brucella suis. We previously showed that various respiratory pathways may be used by B. suis in response to microaerobiosis and anaerobiosis. Here, we compare the whole proteome of B. suis exposed to such low-oxygenated conditions to that obtained from bacteria grown under ambient air using 2-D DIGE. Data showed that the reduction of basal metabolism was in line with low or absence of growth of B. suis. Under both microaerobiosis and anaerobiosis, glycolysis and denitrification were favored. In addition, fatty acid oxidation and possibly citrate fermentation could also contribute to energy production sufficient for survival under anaerobiosis. When oxygen availability changed and became limiting, basic metabolic processes were still functional and variability of respiratory pathways was observed to a degree unexpected for a strictly aerobic microorganism. This highly flexible respiration probably constitutes an advantage for the survival of Brucella under the restricted oxygenation conditions encountered within host tissue.

Derepression of colicin E1 synthesis in the constitutive tif mutant strain (spr tif sfi) and in a tif sfi mutant strain of Escherichia coli K-12

We show here that expression of the colicin gene of the ColE1 plasmid is greatly derepressed in Escherichia coli K-12 strain DM1187 spr tif sfi, which is a constitutive tif mutant, altered in the lexA gene, and which shows constitutive expression of various pathways of the recA-dependent, lexA-blocked (SOS) repair system. In this strain colicin E1 synthesis is at least 100-fold greater than that observed in uninduced control strains (spr+ tif sfi and spr+ tif+ sfi). This result confirms the regulatory role of the lexA product in colicin E1 synthesis. Colicin yields by the uninduced strain DM1187 are as high as the maximum yields from mitomycin-induced control strains and often are several-fold higher. When the nonconstitutive tif sfi strain GC467 is raised to 43 degrees C to induce the SOS system, a low level of colicin synthesis is observed which is less than one-tenth of the yield obtained by induction with mitomycin C. Addition of adenine at the time of shift-up can increase the colicin yield of tif sfi to about one-third of the yield obtained with mitomycin C. We have also found that colicin overproduction can be detected by altered colony appearance in an overlay assay with colicin-sensitive bacteria. In addition, the lethality of the process of colicin synthesis is observed here without the use of bacteriostatic inducing agents.