BACKGROUND: Pathway analysis methods, in which differentially expressed genes are mapped to databases of reference pathways and relative enrichment is assessed, help investigators to propose biologically relevant hypotheses. The last generation of pathway analysis methods takes into account the topological structure of a pathway, which helps to increase both specificity and sensitivity of the findings. Simultaneously, the RNA-Seq technology is gaining popularity and becomes widely used for gene expression profiling. Unfortunately, majority of topological pathway analysis methods remains without implementation and if an implementation exists, it is limited in various factors. RESULTS: We developed a new R/Bioconductor package ToPASeq offering uniform interface to seven distinct topology-based pathway analysis methods, of which three we implemented de-novo and four were adjusted from existing implementations. Apart this, ToPASeq offers a set of tailored visualization functions and functions for importing and manipulating pathways and their topologies, facilitating the application of the methods on different species. The package can be used to compare the differential expression of pathways between two conditions on both gene expression microarray and RNA-Seq data. The package is written in R and is available from Bioconductor 3.2 using AGPL-3 license. CONCLUSION: ToPASeq is a novel package that offers seven distinct methods for topology-based pathway analysis, which are easily applicable on microarray as well as RNA-Seq data, both in human and other species. At the same time, it provides specific tools for visualization of the results.

• MeSH
• genové regulační sítě * MeSH
• lidé MeSH
• počítačová grafika * MeSH
• RNA genetika   MeSH
• sekvenční analýza RNA metody   MeSH
• signální transdukce * MeSH
• software * MeSH
• stanovení celkové genové exprese metody   MeSH
• vysoce účinné nukleotidové sekvenování metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Pre-mRNA splicing represents an important regulatory layer of eukaryotic gene expression. In the simple budding yeast Saccharomyces cerevisiae, about one-third of all mRNA molecules undergo splicing, and splicing efficiency is tightly regulated, for example, during meiotic differentiation. S. cerevisiae features a streamlined, evolutionarily highly conserved splicing machinery and serves as a favourite model for studies of various aspects of splicing. RNA-seq represents a robust, versatile, and affordable technique for transcriptome interrogation, which can also be used to study splicing efficiency. However, convenient bioinformatics tools for the analysis of splicing efficiency from yeast RNA-seq data are lacking. We present a complete workflow for the calculation of genome-wide splicing efficiency in S. cerevisiae using strand-specific RNA-seq data. Our pipeline takes sequencing reads in the FASTQ format and provides splicing efficiency values for the 5' and 3' splice junctions of each intron. The pipeline is based on up-to-date open-source software tools and requires very limited input from the user. We provide all relevant scripts in a ready-to-use form. We demonstrate the functionality of the workflow using RNA-seq datasets from three spliceosome mutants. The workflow should prove useful for studies of yeast splicing mutants or of regulated splicing, for example, under specific growth conditions.

• MeSH
• databáze nukleových kyselin MeSH
• mutace genetika   MeSH
• prekurzory RNA genetika   MeSH
• průběh práce * MeSH
• Saccharomyces cerevisiae genetika   MeSH
• sekvenční analýza RNA metody   MeSH
• sestřih RNA genetika   MeSH
• spliceozomy genetika   MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• algoritmy MeSH
• databáze genetické MeSH
• lidé MeSH
• melanom chemie   genetika   mortalita   MeSH
• myši MeSH
• receptory antigenů T-buněk chemie   genetika   MeSH
• receptory antigenů * analýza   genetika   metabolismus   MeSH
• RNA analýza   genetika   MeSH
• sekvenční analýza RNA metody   MeSH
• stanovení celkové genové exprese metody   MeSH
• výpočetní biologie metody   MeSH
• vysoce účinné nukleotidové sekvenování MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• myši MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

The hop plant (Humulus lupulus L.) produces several valuable secondary metabolites, such as prenylflavonoid, bitter acids, and essential oils. These compounds are biosynthesized in glandular trichomes (lupulin glands) endowed with pharmacological properties and widely implicated in the beer brewing industry. The present study is an attempt to generate exhaustive information of transcriptome dynamics and gene regulatory mechanisms involved in biosynthesis and regulation of these compounds, developmental changes including trichome development at three development stages, namely leaf, bract, and mature lupulin glands. Using high-throughput RNA-Seq technology, a total of 61.13, 50.01, and 20.18 Mb clean reads in the leaf, bract, and lupulin gland libraries, respectively, were obtained and assembled into 43,550 unigenes. The putative functions were assigned to 30,996 transcripts (71.17%) based on basic local alignment search tool similarity searches against public sequence databases, including GO, KEGG, NR, and COG families, which indicated that genes are principally involved in fundamental cellular and molecular functions, and biosynthesis of secondary metabolites. The expression levels of all unigenes were analyzed in leaf, bract, and lupulin glands tissues of hop. The expression profile of transcript encoding enzymes of BCAA metabolism, MEP, and shikimate pathway was most up-regulated in lupulin glands compared with leaves and bracts. Similarly, the expression levels of the transcription factors and structural genes that directly encode enzymes involved in xanthohumol, bitter acids, and terpenoids biosynthesis pathway were found to be significantly enhanced in lupulin glands, suggesting that production of these metabolites increases after the leaf development. In addition, numerous genes involved in primary metabolism, lipid metabolism, photosynthesis, generation of precursor metabolites/energy, protein modification, transporter activity, and cell wall component biogenesis were differentially regulated in three developmental stages, suggesting their involvement in the dynamics of the lupulin gland development. The identification of differentially regulated trichome-related genes provided a new foundation for molecular research on trichome development and differentiation in hop. In conclusion, the reported results provide directions for future functional genomics studies for genetic engineering or molecular breeding for augmentation of secondary metabolite content in hop.

• MeSH
• flavonoidy biosyntéza   chemie   metabolismus   MeSH
• genová ontologie MeSH
• Humulus chemie   metabolismus   MeSH
• listy rostlin genetika   metabolismus   MeSH
• propiofenony chemie   metabolismus   MeSH
• regulace genové exprese u rostlin MeSH
• rostlinné proteiny genetika   metabolismus   MeSH
• sekvenování transkriptomu MeSH
• terpeny chemie   metabolismus   MeSH
• transkripční faktory metabolismus   MeSH
• transkriptom genetika   MeSH
• trichomy genetika   metabolismus   ultrastruktura   MeSH
• Publikační typ
• časopisecké články MeSH

Adult females of the genus Ixodes imbibe blood meals exceeding about 100 times their own weight within 7‒9 days. During this period, ticks internalise components of host blood by endocytic digest cells that line the tick midgut epithelium. Using RNA-seq, we aimed to characterise the midgut transcriptome composition in adult Ixodes ricinus females during early and late phase of engorgement. To address specific adaptations to the haemoglobin-rich diet, we compared the midgut transcriptomes of genetically homogenous female siblings fed either bovine blood or haemoglobin-depleted serum. We noted that tick gut transcriptomes are subject to substantial temporal-dependent expression changes between day 3 and day 8 of feeding. In contrast, the number of transcripts significantly affected by the presence or absence of host red blood cells was low. Transcripts relevant to the processes associated with blood-meal digestion were analysed and involvement of selected encoded proteins in the tick midgut physiology discussed. A total of 7215 novel sequences from I. ricinus were deposited in public databases as an additional outcome of this study. Our results broaden the current knowledge of tick digestive system and may lead to the discovery of potential molecular targets for efficient tick control.

• MeSH
• klíště genetika   metabolismus   MeSH
• sekvenční analýza RNA * MeSH
• skot MeSH
• stanovení celkové genové exprese * MeSH
• střeva metabolismus   patologie   MeSH
• transkriptom fyziologie   MeSH
• zvířata MeSH
• Check Tag
• skot MeSH
• ženské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Intramural MeSH

Monografie dává ucelený přehled o současných technologiích aplikovaných v oblasti molekulární bioinformatiky a slouží k lepší orientaci ve statistických metodách v klinickém a bioinformatickém výzkumu nejen pro mladé a začínající vědce, ale i pro jednooborově zaměřené specialisty. Může pomoci vysokoškolským učitelům lékařských a přírodovědeckých fakult v pregraduálním, postgraduálním i celoživotním vzdělávání, výzkumným pracovníkům v biomedicínských oborech, lékařům a dalším zdravotnickým pracovníkům.

• MeSH
• databáze nukleových kyselin MeSH
• genomika MeSH
• molekulární biologie MeSH
• výpočetní biologie MeSH

• Konspekt
• Biochemie. Molekulární biologie. Biofyzika
• NLK Obory
• biologie
• NLK Publikační typ
• kolektivní monografie

Few germline mutations are known to affect lung cancer risk. We performed analyses of rare variants from 39,146 individuals of European ancestry and investigated gene expression levels in 7,773 samples. We find a large-effect association with an ATM L2307F (rs56009889) mutation in adenocarcinoma for discovery (adjusted Odds Ratio = 8.82, P = 1.18 × 10-15) and replication (adjusted OR = 2.93, P = 2.22 × 10-3) that is more pronounced in females (adjusted OR = 6.81 and 3.19 and for discovery and replication). We observe an excess loss of heterozygosity in lung tumors among ATM L2307F allele carriers. L2307F is more frequent (4%) among Ashkenazi Jewish populations. We also observe an association in discovery (adjusted OR = 2.61, P = 7.98 × 10-22) and replication datasets (adjusted OR = 1.55, P = 0.06) with a loss-of-function mutation, Q4X (rs150665432) of an uncharacterized gene, KIAA0930. Our findings implicate germline genetic variants in ATM with lung cancer susceptibility and suggest KIAA0930 as a novel candidate gene for lung cancer risk.

• MeSH
• adenokarcinom genetika   MeSH
• alely MeSH
• ATM protein genetika   MeSH
• běloši genetika   MeSH
• databáze genetické MeSH
• genetická predispozice k nemoci MeSH
• genotypizační techniky MeSH
• heterozygot MeSH
• lidé středního věku MeSH
• lidé MeSH
• missense mutace MeSH
• nádory plic genetika   MeSH
• odds ratio MeSH
• rizikové faktory MeSH
• rodokmen MeSH
• sekvenční analýza hybridizací s uspořádaným souborem oligonukleotidů MeSH
• sekvenování transkriptomu MeSH
• senioři MeSH
• zárodečné mutace MeSH
• židé genetika   MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH

Silene vulgaris possesses ecotype-specific tolerance to high levels of copper in the soil. Although this was reported a few decades ago, little is known about this trait on a molecular level. The aim of this study was to analyze the transcription response to elevated copper concentrations in two S. vulgaris ecotypes originating from copper-contrasting soil types - copper-tolerant Lubietova and copper-sensitive Stranska skala. To reveal if plants are transcriptionally affected, we first analyzed the HMA7 gene, a known key player in copper metabolism. Based on BAC library screening, we identified a BAC clone containing a SvHMA7 sequence with all the structural properties specific for plant copper-transporting ATPases. The functionality of the gene was tested using heterologous complementation in yeast mutants. Analyses of SvHMA7 transcription patterns showed that both ecotypes studied up-regulated SvHMA7 transcription after the copper treatment. Our data are supported by analysis of appropriate reference genes based on RNA-Seq databases. To identify genes specifically involved in copper response in the studied ecotypes, we analyzed transcription profiles of genes coding Cu-transporting proteins and genes involved in the prevention of copper-induced oxidative stress in both ecotypes. Our data show that three genes (APx, POD and COPT5) differ in their transcription pattern between the ecotypes with constitutively increased transcription in Lubietova. Taken together, we have identified transcription differences between metallifferous and non-metalliferous ecotypes of S. vulgaris, and we have suggested candidate genes participating in metal tolerance in this species.

• MeSH
• adenosintrifosfatasy genetika   metabolismus   MeSH
• databáze nukleových kyselin MeSH
• ekotyp MeSH
• genová knihovna MeSH
• kořeny rostlin účinky léků   genetika   růst a vývoj   fyziologie   MeSH
• měď metabolismus   farmakologie   MeSH
• orgánová specificita MeSH
• proteiny přenášející kationty genetika   metabolismus   MeSH
• regulace genové exprese u rostlin * MeSH
• RNA rostlin chemie   genetika   MeSH
• rostlinné proteiny genetika   metabolismus   MeSH
• sekvenční analýza RNA MeSH
• Silene účinky léků   genetika   růst a vývoj   fyziologie   MeSH
• transkriptom * MeSH
• výhonky rostlin účinky léků   genetika   růst a vývoj   fyziologie   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Although humic acids (HA) are involved in many biological processes in soils and thus their ecological importance has received much attention, the degradative pathways and corresponding catalytic genes underlying the HA degradation by bacteria remain unclear. To unveil those uncertainties, we analyzed transcriptomes extracted from Pseudomonas sp. PAMC 26793 cells time-dependently induced in the presence of HA in a lab flask. Out of 6288 genes, 299 (microarray) and 585 (RNA-seq) were up-regulated by > 2.0-fold in HA-induced cells, compared with controls. A significant portion (9.7% in microarray and 24.1% in RNA-seq) of these genes are predicted to function in the transport and metabolism of small molecule compounds, which could result from microbial HA degradation. To further identify lignin (a surrogate for HA)-degradative genes, 6288 protein sequences were analyzed against carbohydrate-active enzyme database and a self-curated list of putative lignin degradative genes. Out of 19 genes predicted to function in lignin degradation, several genes encoding laccase, dye-decolorizing peroxidase, vanillate O-demethylase oxygenase and reductase, and biphenyl 2,3-dioxygenase were up-regulated > 2.0-fold in RNA-seq. This induction was further confirmed by qRT-PCR, validating the likely involvement of these genes in the degradation of HA.

• MeSH
• bakteriální geny MeSH
• biodegradace MeSH
• databáze proteinů MeSH
• huminové látky mikrobiologie   MeSH
• lignin metabolismus   MeSH
• metabolické sítě a dráhy * MeSH
• Pseudomonas genetika   metabolismus   MeSH
• půdní mikrobiologie * MeSH
• regulace genové exprese u bakterií MeSH
• stanovení celkové genové exprese * MeSH
• tundra * MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Identifying regulons of sigma factors is a vital subtask of gene network inference. Integrating multiple sources of data is essential for correct identification of regulons and complete gene regulatory networks. Time series of expression data measured with microarrays or RNA-seq combined with static binding experiments (e.g., ChIP-seq) or literature mining may be used for inference of sigma factor regulatory networks. RESULTS: We introduce Genexpi: a tool to identify sigma factors by combining candidates obtained from ChIP experiments or literature mining with time-course gene expression data. While Genexpi can be used to infer other types of regulatory interactions, it was designed and validated on real biological data from bacterial regulons. In this paper, we put primary focus on CyGenexpi: a plugin integrating Genexpi with the Cytoscape software for ease of use. As a part of this effort, a plugin for handling time series data in Cytoscape called CyDataseries has been developed and made available. Genexpi is also available as a standalone command line tool and an R package. CONCLUSIONS: Genexpi is a useful part of gene network inference toolbox. It provides meaningful information about the composition of regulons and delivers biologically interpretable results.

• MeSH
• Bacteria genetika   MeSH
• časové faktory MeSH
• databáze genetické * MeSH
• Eukaryota genetika   MeSH
• genové regulační sítě * MeSH
• lidé MeSH
• regulace genové exprese * MeSH
• regulon genetika   MeSH
• reprodukovatelnost výsledků MeSH
• Saccharomyces cerevisiae genetika   MeSH
• software * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH