Cloning and functional analysis of the Gβ gene Mgb1 and the Gγ gene Mgg1 in Monascus ruber

The ascomycetous fungus Monascus ruber is one of the most well-known species widely used to produce Monascus-fermentation products for natural food colorants and medicine. Our previous research on the Gα subunit Mga1 and the regulator of G protein signaling MrflbA indicated that heterotrimeric G protein signaling pathways were involved in aspects of growth, sporulation and secondary metabolite production in M. ruber. To better understand the G protein signaling pathways in this fungus, a Gβ subunit gene (Mgb1) and a GΓ subunit gene (Mgg1) were cloned and investigated in the current study. The predicted Mgb1 protein consisted of 353 amino acids and Mgg1 consisted of 94 amino acids, sharing marked similarity with Aspergillus Gβ and GΓ subunits, respectively. Targeted deletion (Δ) of Mgb1 or Mgg1 resulted in phenotypic alterations similar to those resulting from ΔMga1, i.e., restricted vegetative growth, lowered asexual sporulation, impaired cleistothecial formation, and enhanced citrinin and pigment production. Moreover, deletion of Mgg1 suppressed the defects in asexual development and in biosynthesis of citrinin and pigment caused by the absence of MrflbA function. These results provide evidence that Mgb1 and Mgg1 form a functional GβΓ dimer and the dimer interacts with Mga1 to mediate signaling pathways, which are negatively controlled by MrflbA, for growth, reproduction and citrinin and pigment biosynthesis in M. ruber.     

Gene–gene and gene–environment interactions in ulcerative colitis

Genome-wide association studies (GWAS) have identified at least 133 ulcerative colitis (UC) associated loci. The role of genetic factors in clinical practice is not clearly defined. The relevance of genetic variants to disease pathogenesis is still uncertain because of not characterized gene–gene and gene–environment interactions. We examined the predictive value of combining the 133 UC risk loci with genetic interactions in an ongoing inflammatory bowel disease (IBD) GWAS. The Wellcome Trust Case–Control Consortium (WTCCC) IBD GWAS was used as a replication cohort. We applied logic regression (LR), a novel adaptive regression methodology, to search for high-order interactions. Exploratory genotype correlations with UC sub-phenotypes [extent of disease, need of surgery, age of onset, extra-intestinal manifestations and primary sclerosing cholangitis (PSC)] were conducted. The combination of 133 UC loci yielded good UC risk predictability [area under the curve (AUC) of 0.86]. A higher cumulative allele score predicted higher UC risk. Through LR, several lines of evidence for genetic interactions were identified and successfully replicated in the WTCCC cohort. The genetic interactions combined with the gene-smoking interaction significantly improved predictability in the model (AUC, from 0.86 to 0.89, P = 3.26E?05). Explained UC variance increased from 37 to 42 % after adding the interaction terms. A within case analysis found suggested genetic association with PSC. Our study demonstrates that the LR methodology allows the identification and replication of high-order genetic interactions in UC GWAS datasets. UC risk can be predicted by a 133 loci and improved by adding gene–gene and gene–environment interactions.     

Temperature-dependent STIM1 activation induces Ca²+ influx and modulates gene expression

Intracellular Ca(2+) is essential for diverse cellular functions. Ca(2+) entry into many cell types including immune cells is triggered by depleting endoplasmic reticulum (ER) Ca(2+), a process termed store-operated Ca(2+) entry (SOCE). STIM1 is an ER Ca(2+) sensor. Upon Ca(2+) store depletion, STIM1 clusters at ER-plasma membrane junctions where it interacts with and gates Ca(2+)-permeable Orai1 ion channels. Here we show that STIM1 is also activated by temperature. Heating cells caused clustering of STIM1 at temperatures above 35 °C without depleting Ca(2+) stores and led to Orai1-mediated Ca(2+) influx as a heat off-response (response after cooling). Notably, the functional coupling of STIM1 and Orai1 is prevented at high temperatures, potentially explaining the heat off-response. Additionally, physiologically relevant temperature shifts modulate STIM1-dependent gene expression in Jurkat T cells. Therefore, temperature is an important regulator of STIM1 function.     

Interleukin 1β gene single-nucleotide polymorphisms and susceptibility to pancreatic neuroendocrine tumors

Pancreatic neuroendocrine tumors (pNETs) are rare neoplasms with not fully understood etiology. Interleukin 1β (IL1β) plays an important role in pancreatic pathology, especially carcinogenesis, but its role in pNET development remains unknown. The aim of this study was to analyze the association between IL1β polymorphisms and susceptibility to pNETs. IL1β -511 C/T and +3954 C/T single-nucleotide polymorphisms (SNPs) were analyzed by real-time polymerase chain reaction-SNP analysis. IL1β serum values in pNET patients were also determined. Association between high-expression C/T -511 IL1β genotype and susceptibility to pNET (p=0.042) was found, especially with functional pNET (p=0.014), where it was associated with the T allele (p=0.016). Combination of genotype analyses confirmed carriers of -511/+3954 CTCT to be at risk of developing functional pNETs (p=0.006) and carriers of -511/+3954 CTCC at risk of developing nonfunctional pNETs (p=0.019). IL1β serum levels of all patients were below the limit of detection. Our results suggest IL1β involvement in pNET development, and we also found association between the IL1β -511 SNP and susceptibility to pNET, especially functional pNETs. Nonfunctional pNETs seem to have inferior prognosis when compared with functional pNETs. It is possible that they differ in tumor microenvironment and that nonfunctional tumors share similarities with adenocarcinoma. We believe that our findings will contribute to understanding of the etiology and possible novel prognostic markers for pNETs when future studies investigating the serum and tumor tissue IL1β levels are done.     

Growth arrest-specific gene 1 is downregulated and inhibits tumor growth in gastric cancer

Gastric cancer is one of the leading causes of malignancy-related mortality in the world, and malignant growth is a crucial characteristic in gastric cancer. In our previous study, we found that growth arrest-specific gene?1 (GAS1) suppression was involved in making gastric cancer cells multidrug-resistant by protecting them from drug-induced apoptosis. In the present study, we investigated the potential role of GAS1 in the growth and proliferation of gastric cancer. We demonstrated that GAS1 expression was decreased in gastric cancer, and patients without GAS1 expression showed shorter survival times than those with GAS1 expression. Both gain-of-function (by overexpression of GAS1) and loss-of-function (by GAS1-specific small interfering RNA knockdown) studies showed that increased GAS1 expression significantly reduced the colony-forming ability of gastric cancer cells in?vitro and reduced cell growth in?vivo, whereas decreased GAS1 expression had the opposite effects. Moreover, upregulation of GAS1 induced cell apoptosis, and downregulation of GAS1 inhibited apoptosis. Furthermore, we demonstrated that GAS1 could induce gastric cancer cell apoptosis, at least in part through modulating the Bcl-2/Bax ratio and the activity of caspase-3. Taken together, our results strongly indicate that GAS1 expression was decreased in gastric cancer and was predictive of a poor prognosis. Restoration of GAS1 expression inhibited cell growth and promoted apoptosis of gastric cancer cells, at least in part through modulating the Bcl-2/Bax ratio and activating caspase-3, suggesting that GAS1 might be used as a novel therapeutic candidate for gastric cancer.     

Characterization of rat 17β-hydroxysteroid dehydrogenase type 1 gene and mRNA transcripts

In the present study, the gene encoding rat 17β-hydroxysteroid dehydrogenase type 1 (rHSD17B1 gene) was cloned and characterized. Like the analogous human gene (hHSD17B1), rHSD17B1 contains six exons and five introns spanning approximately 2.2 kb. The identity between the exons and introns of the two genes ranges from 58% to 82% and 42% to 57%, respectively. In contrast to hHSD17B1, rHSD17B1 is not duplicated. The cap site for rHSD17B1 was localized to position −41 upstream of the ATG translation initiation codon. Sequence comparison of the first 200 bp upstream of the cap site showed 72% identity between the human and rat HSD17B1 genes, including a conserved GC-rich area. Further upstream, no significant identity between the two genes was observed and several, cis-acting elements known to modulate the expression of hHSD17B1 are not conserved in the rat gene. Rat HSD17B1 unlike hHSD17B1 with two cap sites, possesses two polyadenylation signals, thus resulting in two mRNAs.     

Comparison of β-adrenergic and glucocorticoid signaling on clock gene and osteoblast-related gene expressions in human osteoblast

Most living organisms exhibit circadian rhythms that are generated by endogenous circadian clocks, the master one being present in the suprachiasmatic nuclei (SCN). Output signals from the SCN are believed to transmit standard circadian time to peripheral tissue through sympathetic nervous system and humoral routes. Therefore, the authors examined the expression of clock genes following treatment with the β-adrenergic receptor agonist, isoprenaline, or the synthetic glucocorticoid, dexamethasone, in cultured human osteoblast SaM-1 cells. Cells were treated with 10(-6) M isoprenaline or 10(-7) M dexamethasone for 2?h and gene expressions were determined using real-time polymerase chain reaction (PCR) analysis. Treatment with isoprenaline or dexamethasone induced the circadian expression of clock genes human period 1 (hPer1), hPer2, hPer3, and human brain and muscle Arnt-like protein 1 (hBMAL1). Isoprenaline or dexamethasone treatment immediately increased hPer1 and hPer2 and caused circadian oscillation of hPer1 and hPer2 with three peaks within 48?h. hPer3 expression had one peak after isoprenaline or dexamethasone treatment. hBMAL expression had two peaks after isoprenaline or dexamethasone treatment, the temporal pattern being in antiphase to that of the other clock genes. Dexamethasone treatment delayed the oscillation of all clock genes for 2-6?h compared with isoprenaline treatment. The authors also examined the expression of osteoblast-related genes hα-1 type I collagen (hCol1a1), halkaline phosphatase (hALP), and hosteocalcin (hOC). Isoprenaline induced oscillation of hCol1a1, but not hALP and hOC. On the other hand, dexamethasone induced oscillation of hCol1a1 and hALP, but not hOC. Isoprenaline up-regulated hCol1a1 expression, but dexamethasone down-regulated hCol1a1 and hALP expression in the first phase.