Transcriptome and DNA methylation analysis reveals molecular mechanisms underlying intrahepatic cholangiocarcinoma progression

Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy with increasing incidence. It has been suggested that DNA methylation drives cancer development. However, the molecular mechanisms underlying iCCA progression and the roles of DNA methylation still remain elusive. In this study, weighted correlation networks were constructed to identify gene modules and hub genes associated with the tumour stage. We identified 12 gene modules, two of which were significantly positively or negatively related to the tumour stage, respectively. Key hub genes SLC2A1, CDH3 and EFHD2 showed increased expression across the tumour stage and were correlated with poor survival, whereas decrease of FAM171A1, ONECUT1 and PHYHIPL was correlated with better survival. Pathway analysis revealed hedgehog pathway was activated in CDH3 up-regulated tumours, and chromosome separation was elevated in tumours expressing high EFHD2. JAK-STAT pathway was overrepresented in ONECUT1 down-regulated tumours, whereas Rho GTPases-formins signalling was activated in PHYHIPL down-regulated tumours. Finally, significant negative associations between expression of EFHD2, PHYHIPL and promoter DNA methylation were detected, and alterations of DNA methylation were correlated with tumour survival. In summary, we identified key genes and pathways that may participate in progression of iCCA and proposed putative roles of DNA methylation in iCCA.     

Proteomics analysis reveals multiple regulatory mechanisms in response to selenium in rice

Selenium (Se) shows both beneficial and toxic effects on plant growth. Rice (Oryza sativa L.) seedlings cultivated under lower concentrations of sodium selenite showed enhanced growth, whereas higher concentrations of sodium selenite repressed seedling growth. To acquire detailed regulatory mechanisms underlying these effects, a comparative proteomics study using 2-dimensional gel electrophoresis and MALDI-TOF/TOF MS was performed. By comparison of gel images between Se treatments and control, 66 and 97 differentially expressed proteins were identified in shoot and root, respectively under at least one of the Se treatment concentrations. Gene Ontology and Clustering analysis reveal primary metabolism, photosynthesis and redox homeostasis are the most highly affected biological processes by Se treatments. Lower Se treatments (2 and 6 mg/L sodium selenite) activated antioxidative system, enhanced photosynthesis and primary metabolism. However, higher Se treatment (10 mg/L sodium selenite) damaged photosynthesis apparatus, inhibited photosynthesis and primary metabolism. Protein ubiquitination and phosphorylation may also play important roles in Se response in rice. In conclusion, our study provided novel insights into Se response in rice at the proteome level, which are expected to be highly useful for dissecting the Se response pathways in higher plants and for producing Se enriched rice cultivars in the future.     

Single-cell analysis reveals a novel uncultivated magnetotactic bacterium within the candidate division OP3

Magnetotactic bacteria (MTB) are a diverse group of prokaryotes that orient along magnetic fields using membrane-coated magnetic nanocrystals of magnetite (Fe(3) O(4) ) or greigite (Fe(3) S(4) ), the magnetosomes. Previous phylogenetic analysis of MTB has been limited to few cultivated species and most abundant members of natural populations, which were assigned to Proteobacteria and the Nitrospirae phyla. Here, we describe a single cell-based approach that allowed the targeted phylogenetic and ultrastructural analysis of the magnetotactic bacterium SKK-01, which was low abundant in sediments of Lake Chiemsee. Morphologically conspicuous single cells of SKK-01 were micromanipulated from magnetically collected multi-species MTB populations, which was followed by whole genome amplification and ultrastructural analysis of sorted cells. Besides intracellular sulphur inclusions, the large ovoid cells of SKK-01 harbour ～175 bullet-shaped magnetosomes arranged in multiple chains that consist of magnetite as revealed by TEM and EDX analysis. Sequence analysis of 16 and 23S rRNA genes from amplified genomic DNA as well as fluorescence in situ hybridization assigned SKK-01 to the candidate division OP3, which so far lacks any cultivated representatives. SKK-01 represents the first morphotype that can be assigned to the OP3 group as well as the first magnetotactic member of the PVC superphylum.     

Defining a minimal cell: essentiality of small ORFs and ncRNAs in a genome-reduced bacterium

Identifying all essential genomic components is critical for the assembly of minimal artificial life. In the genome-reduced bacterium Mycoplasma pneumoniae, we found that small ORFs (smORFs; < 100 residues), accounting for 10% of all ORFs, are the most frequently essential genomic components (53%), followed by conventional ORFs (49%). Essentiality of smORFs may be explained by their function as members of protein and/or DNA/RNA complexes. In larger proteins, essentiality applied to individual domains and not entire proteins, a notion we could confirm by expression of truncated domains. The fraction of essential non-coding RNAs (ncRNAs) non-overlapping with essential genes is 5% higher than of non-transcribed regions (0.9%), pointing to the important functions of the former. We found that the minimal essential genome is comprised of 33% (269,410 bp) of the M. pneumoniae genome. Our data highlight an unexpected hidden layer of smORFs with essential functions, as well as non-coding regions, thus changing the focus when aiming to define the minimal essential genome.     

Transcriptome analysis reveals a role of interferon-gamma in human neointima formation

The most effective immediate cure for coronary stenosis is stent-supported angioplasty. Restenosis due to neointima proliferation represents a major limitation. We investigated the expression of 2435 genes in atherectomy specimens and blood cells of patients with restenosis, normal coronary artery specimens, and cultured human smooth muscle cells (SMCs). Of the 223 differentially expressed genes, 37 genes indicated activation of interferon-gamma (IFN-gamma) signaling in neointimal SMCs. In cultured SMCs, IFN-gamma inhibited apoptosis. Genetic disruption of IFN-gamma signaling in a mouse model of restenosis significantly reduced the vascular proliferative response. Our data suggest an important role of IFN-gamma in the control of neointima proliferation.     

Computational prediction of intronic microRNA targets using host gene expression reveals novel regulatory mechanisms

Approximately half of known human miRNAs are located in the introns of protein coding genes. Some of these intronic miRNAs are only expressed when their host gene is and, as such, their steady state expression levels are highly correlated with those of the host gene's mRNA. Recently host gene expression levels have been used to predict the targets of intronic miRNAs by identifying other mRNAs that they have consistent negative correlation with. This is a potentially powerful approach because it allows a large number of expression profiling studies to be used but needs refinement because mRNAs can be targeted by multiple miRNAs and not all intronic miRNAs are co-expressed with their host genes.Here we introduce InMiR, a new computational method that uses a linear-Gaussian model to predict the targets of intronic miRNAs based on the expression profiles of their host genes across a large number of datasets. Our method recovers nearly twice as many true positives at the same fixed false positive rate as a comparable method that only considers correlations. Through an analysis of 140 Affymetrix datasets from Gene Expression Omnibus, we build a network of 19,926 interactions among 57 intronic miRNAs and 3,864 targets. InMiR can also predict which host genes have expression profiles that are good surrogates for those of their intronic miRNAs. Host genes that InMiR predicts are bad surrogates contain significantly more miRNA target sites in their 3' UTRs and are significantly more likely to have predicted Pol II and Pol III promoters in their introns.We provide a dataset of 1,935 predicted mRNA targets for 22 intronic miRNAs. These prediction are supported both by sequence features and expression. By combining our results with previous reports, we distinguish three classes of intronic miRNAs: Those that are tightly regulated with their host gene; those that are likely to be expressed from the same promoter but whose host gene is highly regulated by miRNAs; and those likely to have independent promoters.     

Heritability of symbiont density reveals distinct regulatory mechanisms in a tripartite symbiosis

Beneficial eukaryotic–bacterial partnerships are integral to animal and plant evolution. Understanding the density regulation mechanisms behind bacterial symbiosis is essential to elucidating the functional balance between hosts and symbionts. Citrus mealybugs, Planococcus citri (Risso), present an excellent model system for investigating the mechanisms of symbiont density regulation. They contain two obligate nutritional symbionts, Moranella endobia, which resides inside Tremblaya princeps, which has been maternally transmitted for 100–200 million years. We investigate whether host genotype may influence symbiont density by crossing mealybugs from two inbred laboratory‐reared populations that differ substantially in their symbiont density to create hybrids. The density of the M. endobia symbiont in the hybrid hosts matched that of the maternal parent population, in keeping with density being determined either by the symbiont or the maternal genotype. However, the density of the T. princeps symbiont was influenced by the paternal host genotype. The greater dependency of T. princeps on its host may be due to its highly reduced genome. The decoupling of T. princeps and M. endobia densities, in spite of their intimate association, suggests that distinct regulatory mechanisms can be at work in symbiotic partnerships, even when they are obligate and mutualistic.     

Transcriptome analysis reveals GPNMB as a potential therapeutic target for gastric cancer

Gastric cancer has the fifth highest incidence of disease and is the third leading cause of cancer-associated mortality in the world. The etiology of gastric cancer is complex and needs to be fully elucidated. Thus, it is necessary to explore potential pathogenic genes and pathways that contribute to gastric cancer. Gene expression profiles of the GSE33335 and GSE54129 datasets were downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were compared and identified using R software. The DEGs were then subjected to gene set enrichment analysis and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Survival analyses based on The Cancer Genome Atlas database were used to further screen the essential DEGs. A knockdown assay was performed to determine the function of the candidate gene in gastric cancer. Finally, the association between the candidate gene and immune-related genes was investigated. We found that GPNMB serves as an essential gene, with a high expression level, and predicts a worse outcome of gastric cancer. Knockdown of GPNMB inhibited gastric cancer cell proliferation and migration. In addition, GPNMB may augment the immunosuppressive ability of gastric cancer by recruiting immunosuppressive cells and promoting immune cell exhaustion through PI3K/AKT/CCL4 signaling axis. Collectively, these data suggest that GPNMB acts as an important positive mediator of tumor progression in gastric cancer, and GPNMB could exert multimodality modulation of gastric cancer-mediated immune suppression.     

Transcriptome profiling of a curdlan-producing <Emphasis Type="Italic">Agrobacterium</Emphasis> reveals conserved regulatory mechanisms of exopolysaccharide biosynthesis

Background  

The ability to synthesize exopolysaccharides (EPS) is widespread among microorganisms, and microbial EPS play important roles in biofilm formation, pathogen persistence, and applications in the food and medical industries. Although it is well established that EPS synthesis is invariably in response to environmental cues, it remains largely unknown how various environmental signals trigger activation of the biochemical synthesis machinery.