Lithium (Li) is one of the most effective drugs for treating bipolar disorder (BD), however, there is presently no way to predict response to guide treatment. The aim of this study is to identify functional genes and pathways that distinguish BD Li responders (LR) from BD Li non-responders (NR). An initial Pharmacogenomics of Bipolar Disorder study (PGBD) GWAS of lithium response did not provide any significant results. As a result, we then employed network-based integrative analysis of transcriptomic and genomic data. In transcriptomic study of iPSC-derived neurons, 41 significantly differentially expressed (DE) genes were identified in LR vs NR regardless of lithium exposure. In the PGBD, post-GWAS gene prioritization using the GWA-boosting (GWAB) approach identified 1119 candidate genes. Following DE-derived network propagation, there was a highly significant overlap of genes between the top 500- and top 2000-proximal gene networks and the GWAB gene list (Phypergeometric = 1.28E-09 and 4.10E-18, respectively). Functional enrichment analyses of the top 500 proximal network genes identified focal adhesion and the extracellular matrix (ECM) as the most significant functions. Our findings suggest that the difference between LR and NR was a much greater effect than that of lithium. The direct impact of dysregulation of focal adhesion on axon guidance and neuronal circuits could underpin mechanisms of response to lithium, as well as underlying BD. It also highlights the power of integrative multi-omics analysis of transcriptomic and genomic profiling to gain molecular insights into lithium response in BD.

• MeSH
• antimanika farmakologie   terapeutické užití   MeSH
• bipolární porucha * farmakoterapie   genetika   MeSH
• celogenomová asociační studie * metody   MeSH
• farmakogenetika metody   MeSH
• fokální adheze * účinky léků   genetika   MeSH
• genomika metody   MeSH
• genové regulační sítě * účinky léků   genetika   MeSH
• indukované pluripotentní kmenové buňky účinky léků   metabolismus   MeSH
• lidé MeSH
• lithium * farmakologie   terapeutické užití   MeSH
• multiomika MeSH
• neurony metabolismus   účinky léků   MeSH
• sloučeniny lithia farmakologie   terapeutické užití   MeSH
• stanovení celkové genové exprese metody   MeSH
• transkriptom * genetika   účinky léků   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• antimanika MeSH
• lithium * MeSH
• sloučeniny lithia MeSH

The sarco/endoplasmic reticulum calcium ATPase (SERCA), which plays a key role in the maintenance of Ca2+ ion homeostasis, is an extensively studied enzyme, the inhibition of which has a considerable impact on cell life and death decision. To date, several SERCA inhibitors have been thoroughly studied and the most notable one, a derivative of the sesquiterpene lactone thapsigargin, is gradually approaching a clinical application. Meanwhile, new compounds with SERCA-inhibiting properties of natural, synthetic, or semisynthetic origin are being discovered and/or developed; some of these might also be suitable for the development of new drugs with improved performance. This review brings an up-to-date comprehensive overview of recently discovered compounds with the potential of SERCA inhibition, discusses their mechanism of action, and highlights their potential clinical applications, such as cancer treatment.

• MeSH
• antitumorózní látky chemie   farmakologie   terapeutické užití   MeSH
• genové regulační sítě účinky léků   genetika   MeSH
• inhibitory enzymů chemie   farmakologie   terapeutické užití   MeSH
• lidé MeSH
• nádory farmakoterapie   enzymologie   MeSH
• sarkoplazmatická Ca2+-ATPáza antagonisté a inhibitory   chemie   genetika   MeSH
• sekundární struktura proteinů MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• antitumorózní látky MeSH
• inhibitory enzymů MeSH
• sarkoplazmatická Ca2+-ATPáza MeSH

Mycotoxins, produced by fungi, are secondary metabolites causing adverse, toxic and pathological effects on human and animals. Studies about the association between mycotoxins and microRNAs (miRNAs) were developed since miRNAs have been demonstrated to play a critical role in many developmental processes for regulating messenger RNA (mRNA). As published studies showed, dozens of miRNAs were influenced by mycotoxins, indicating that miRNAs can play important roles in the occurrence and development of mycotoxicosis. Besides, a hypothesis called competing endogenous RNA (ceRNA) was reported to indirectly modulate the expression of mRNA via miRNA response elements (MREs) to consequently regulate cell functions. As a result, four common miRNAs were focused to predict the corresponding ceRNAs based on their own characteristics and the effects of mycotoxins on them, in hope of providing potential ways or directions of miRNAs regulation for mycotoxicosis, and expanding the research field about mycotoxicosis from ceRNA.

• Klíčová slova
• Competing endogenous RNA, Hypothesis, MicroRNA, Mycotoxicosis, Mycotoxins,
• MeSH
• genové regulační sítě genetika   MeSH
• lidé MeSH
• messenger RNA genetika   MeSH
• mikro RNA genetika   MeSH
• mykotoxikóza genetika   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• messenger RNA MeSH
• mikro RNA MeSH

Nucleoside diphosphate kinase 7, non-metastatic cells 7 (NME7) is an acknowledged member of ciliome and is involved in the biogenesis or function of cilia. As obesity and diabetes are common in several ciliopathies, we aimed to analyze changes of gene expression within Nme7 interactome in genetically designed rat models of metabolic syndrome. We assessed the liver transcriptome by Affymetrix microarrays in adult males of 14 PXO recombinant inbred rat strains and their two progenitor strains, SHR-Lx and BXH2. In the strains with the lowest expression of Nme7, we have identified significant enrichment of transcripts belonging to Nme7 interactome. In the subsequent network analysis, we have identified three major upstream regulators - Hnf4a, Ppara and Nr1h4 and liver steatosis (p=0.0001) and liver necrosis/cell death (apoptosis of liver cells, p=0.0003) among the most enriched Tox categories. The mechanistic network reaching the top score showed substantial overlap with Assembly of non-motile cilium and Glucose metabolism disorder gene lists. In summary, we show in a genetic model of metabolic syndrome that rat strains with the lowest expression of Nme7 present gene expression shifts of Nme7 interactome that are perturbing networks relevant for carbohydrate and lipid metabolism as well as ciliogenesis.

• MeSH
• druhová specificita MeSH
• genové regulační sítě genetika   MeSH
• krysa rodu Rattus MeSH
• metabolický syndrom genetika   metabolismus   MeSH
• metabolismus lipidů fyziologie   MeSH
• modely nemocí na zvířatech * MeSH
• nukleosiddifosfátkinasa biosyntéza   genetika   MeSH
• potkani inbrední SHR MeSH
• stanovení celkové genové exprese metody   MeSH
• zvířata MeSH
• Check Tag
• krysa rodu Rattus MeSH
• mužské pohlaví MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• NME7 protein, human MeSH Prohlížeč
• nukleosiddifosfátkinasa MeSH

This study describes the meta-analysis and kinetic modelling of gene expression control by sigma factor SigA of Bacillus subtilis during germination and outgrowth based on microarray data from 14 time points. The analysis computationally models the direct interaction among SigA, SigA-controlled sigma factor genes (sigM, sigH, sigD, sigX), and their target genes. Of the >800 known genes in the SigA regulon, as extracted from databases, 311 genes were analysed, and 190 were confirmed by the kinetic model as being controlled by SigA. For the remaining genes, alternative regulators satisfying kinetic constraints were suggested. The kinetic analysis suggested another 214 genes as potential SigA targets. The modelling was able to (i) create a particular SigA-controlled gene expression network that is active under the conditions for which the expression time series was obtained, and where SigA is the dominant regulator, (ii) suggest new potential SigA target genes, and (iii) find other possible regulators of a given gene or suggest a new mechanism of its control by identifying a matching profile of unknown regulator(s). Selected predicted regulatory interactions were experimentally tested, thus validating the model.

• Klíčová slova
• Bacillus subtilis, Gene expression, Kinetic modelling, Regulatory network, Sigma A,
• MeSH
• Bacillus subtilis genetika   MeSH
• bakteriální proteiny genetika   MeSH
• genetická transkripce genetika   MeSH
• genové regulační sítě genetika   MeSH
• kinetika MeSH
• regulace genové exprese u bakterií genetika   MeSH
• sigma faktor genetika   MeSH
• spory bakteriální genetika   MeSH
• transkripční faktory genetika   MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• práce podpořená grantem MeSH
• Názvy látek
• bakteriální proteiny MeSH
• sigma faktor MeSH
• transkripční faktory MeSH

Combining genome-wide mapping of SNP-rich regions in schizophrenics and gene expression data in all brain compartments across the human life span revealed that genes with promoters most frequently mutated in schizophrenia are expression hubs interacting with far more genes than the rest of the genome. We summed up the differentially methylated "expression neighbors" of genes that fall into one of 108 distinct schizophrenia-associated loci with high number of SNPs. Surprisingly, the number of expression neighbors of the genes in these loci were 35 times higher for the positively correlating genes (32 times higher for the negatively correlating ones) than for the rest of the ~16000 genes. While the genes in the 108 loci have little known impact in schizophrenia, we identified many more known schizophrenia-related important genes with a high degree of connectedness (e.g. MOBP, SYNGR1 and DGCR6), validating our approach. Both the most connected positive and negative hubs affected synapse-related genes the most, supporting the synaptic origin of schizophrenia. At least half of the top genes in both the correlating and anti-correlating categories are cancer-related, including oncogenes (RRAS and ALDOA), providing further insight into the observed inverse relationship between the two diseases.

• MeSH
• extracelulární matrix - proteiny genetika   metabolismus   MeSH
• genetické lokusy MeSH
• genové regulační sítě genetika   MeSH
• jaderné proteiny MeSH
• jednonukleotidový polymorfismus * MeSH
• lidé MeSH
• metylace DNA MeSH
• mozek metabolismus   MeSH
• myelinové proteiny genetika   metabolismus   MeSH
• promotorové oblasti (genetika) MeSH
• schizofrenie genetika   patologie   MeSH
• synapse metabolismus   MeSH
• synaptogyriny genetika   metabolismus   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• DGCR6 protein, human MeSH Prohlížeč
• extracelulární matrix - proteiny MeSH
• jaderné proteiny MeSH
• MOBP protein, human MeSH Prohlížeč
• myelinové proteiny MeSH
• synaptogyriny MeSH
• SYNGR1 protein, human MeSH Prohlížeč

Lens induction is a classical developmental model allowing investigation of cell specification, spatiotemporal control of gene expression, as well as how transcription factors are integrated into highly complex gene regulatory networks (GRNs). Pax6 represents a key node in the gene regulatory network governing mammalian lens induction. Meis1 and Meis2 homeoproteins are considered as essential upstream regulators of Pax6 during lens morphogenesis based on their interaction with the ectoderm enhancer (EE) located upstream of Pax6 transcription start site. Despite this generally accepted regulatory pathway, Meis1-, Meis2- and EE-deficient mice have surprisingly mild eye phenotypes at placodal stage of lens development. Here, we show that simultaneous deletion of Meis1 and Meis2 in presumptive lens ectoderm results in arrested lens development in the pre-placodal stage, and neither lens placode nor lens is formed. We found that in the presumptive lens ectoderm of Meis1/Meis2 deficient embryos Pax6 expression is absent. We demonstrate using chromatin immunoprecipitation (ChIP) that in addition to EE, Meis homeoproteins bind to a remote, ultraconserved SIMO enhancer of Pax6. We further show, using in vivo gene reporter analyses, that the lens-specific activity of SIMO enhancer is dependent on the presence of three Meis binding sites, phylogenetically conserved from man to zebrafish. Genetic ablation of EE and SIMO enhancers demostrates their requirement for lens induction and uncovers an apparent redundancy at early stages of lens development. These findings identify a genetic requirement for Meis1 and Meis2 during the early steps of mammalian eye development. Moreover, they reveal an apparent robustness in the gene regulatory mechanism whereby two independent "shadow enhancers" maintain critical levels of a dosage-sensitive gene, Pax6, during lens induction.

• MeSH
• dánio pruhované genetika   MeSH
• ektoderm růst a vývoj   patologie   MeSH
• genové regulační sítě genetika   MeSH
• homeodoménové proteiny genetika   metabolismus   MeSH
• lidé MeSH
• myši MeSH
• nádorové proteiny genetika   metabolismus   MeSH
• oči růst a vývoj   metabolismus   patologie   MeSH
• oční čočka růst a vývoj   metabolismus   patologie   MeSH
• transkripční faktor Meis1 MeSH
• transkripční faktor PAX6 genetika   metabolismus   MeSH
• vazebná místa MeSH
• vývojová regulace genové exprese MeSH
• zesilovače transkripce genetika   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• myši MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• homeodoménové proteiny MeSH
• MEIS1 protein, human MeSH Prohlížeč
• Meis1 protein, mouse MeSH Prohlížeč
• Mrg1 protein, mouse MeSH Prohlížeč
• nádorové proteiny MeSH
• Pax6 protein, mouse MeSH Prohlížeč
• transkripční faktor Meis1 MeSH
• transkripční faktor PAX6 MeSH

Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental-in silico computational based approach was adopted for the identification and characterization of miRNAs in Humulus lupulus (hop), which is widely cultivated for use by the brewing industry and apart from, used as a medicinal herb. A total of 22 miRNAs belonging to 17 miRNA families were identified in hop following comparative computational approach and EST-based homology search according to a series of filtering criteria. Selected miRNAs were validated by end-point PCR and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), confirmed the existence of conserved miRNAs in hop. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 47 potential miRNA targets were identified in hop. Strikingly, the majority of predicted targets were belong to transcriptional factors which could regulate hop growth and development, including leaf, root and even cone development. Moreover, the identified miRNAs may also be involved in other cellular and metabolic processes, such as stress response, signal transduction, and other physiological processes. The cis-regulatory elements relevant to biotic and abiotic stress, plant hormone response, flavonoid biosynthesis were identified in the promoter regions of those miRNA genes. Overall, findings from this study will accelerate the way for further researches of miRNAs, their functions in hop and shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available.

• Klíčová slova
• Comparative genomics, Expressed sequence tags, Humulus lupulus, Posttranscriptional gene regulation, microRNA,
• MeSH
• databáze genetické MeSH
• exprimované sekvenční adresy * MeSH
• genové regulační sítě genetika   MeSH
• Humulus genetika   MeSH
• mikro RNA genetika   MeSH
• polymerázová řetězová reakce s reverzní transkripcí MeSH
• regulace genové exprese u rostlin genetika   MeSH
• rostlinné geny genetika   MeSH
• software * MeSH
• stanovení celkové genové exprese MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• mikro RNA MeSH

BACKGROUND: The transcription factor p63 belongs to the p53/p63/p73 family and plays key functional roles during normal epithelial development and differentiation and in pathological states such as squamous cell carcinomas. The human TP63 gene, located on chromosome 3q28 is driven by two promoters that generate the full-length transactivating (TA) and N-terminal truncated (ΔN) isoforms. Furthermore alternative splicing at the C-terminus gives rise to additional α, β, γ and likely several other minor variants. Teasing out the expression and biological function of each p63 variant has been both the focus of, and a cause for contention in the p63 field. RESULTS: Here we have taken advantage of a burgeoning RNA-Seq based genomic data-sets to examine the global expression profiles of p63 isoforms across commonly utilized human cell-lines and major tissues and organs. Consistent with earlier studies, we find ΔNp63 transcripts, primarily that of the ΔNp63α isoforms, to be expressed in most cells of epithelial origin such as those of skin and oral tissues, mammary glands and squamous cell carcinomas. In contrast, TAp63 is not expressed in the majority of normal cell-types and tissues; rather it is selectively expressed at moderate to high levels in a subset of Burkitt's and diffuse large B-cell lymphoma cell lines. We verify this differential expression pattern of p63 isoforms by Western blot analysis, using newly developed ΔN and TA specific antibodies. Furthermore using unsupervised clustering of human cell lines, tissues and organs, we show that ΔNp63 and TAp63 driven transcriptional networks involve very distinct sets of molecular players, which may underlie their different biological functions. CONCLUSIONS: In this study we report comprehensive and global expression profiles of p63 isoforms and their relationship to p53/p73 and other potential transcriptional co-regulators. We curate publicly available data generated in part by consortiums such as ENCODE, FANTOM and Human Protein Atlas to delineate the vastly different transcriptomic landscapes of ΔNp63 and TAp63. Our studies help not only in dispelling prevailing myths and controversies on p63 expression in commonly used human cell lines but also augur new isoform- and cell type-specific activities of p63.

• MeSH
• Burkittův lymfom genetika   MeSH
• difúzní velkobuněčný B-lymfom genetika   MeSH
• genové regulační sítě genetika   MeSH
• lidé MeSH
• nádorové buněčné linie MeSH
• nádorové supresorové proteiny genetika   MeSH
• protein - isoformy genetika   MeSH
• regulace genové exprese u nádorů genetika   MeSH
• spinocelulární karcinom genetika   MeSH
• transkripční faktory genetika   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• nádorové supresorové proteiny MeSH
• protein - isoformy MeSH
• TP63 protein, human MeSH Prohlížeč
• transkripční faktory MeSH

Nutrigenomics investigates relationships between nutrients and all genome-encoded molecular entities. This holistic approach requires systems biology to scrutinize the effects of diet on tissue biology. To decipher the adipose tissue (AT) response to diet induced weight changes we focused on key molecular (lipids and transcripts) AT species during a longitudinal dietary intervention. To obtain a systems model, a network approach was used to combine all sets of variables (bio-clinical, fatty acids and mRNA levels) and get an overview of their interactions. AT fatty acids and mRNA levels were quantified in 135 obese women at baseline, after an 8-week low calorie diet (LCD) and after 6 months of ad libitum weight maintenance diet (WMD). After LCD, individuals were stratified a posteriori according to weight change during WMD. A 3 steps approach was used to infer a global model involving the 3 sets of variables. It consisted in inferring intra-omic networks with sparse partial correlations and inter-omic networks with regularized canonical correlation analysis and finally combining the obtained omic-specific network in a single global model. The resulting networks were analyzed using node clustering, systematic important node extraction and cluster comparisons. Overall, AT showed both constant and phase-specific biological signatures in response to dietary intervention. AT from women regaining weight displayed growth factors, angiogenesis and proliferation signaling signatures, suggesting unfavorable tissue hyperplasia. By contrast, after LCD a strong positive relationship between AT myristoleic acid (a fatty acid with low AT level) content and de novo lipogenesis mRNAs was found. This relationship was also observed, after WMD, in the group of women that continued to lose weight. This original system biology approach provides novel insight in the AT response to weight control by highlighting the central role of myristoleic acid that may account for the beneficial effects of weight loss.

• MeSH
• dospělí MeSH
• genové regulační sítě genetika   MeSH
• hmotnostní úbytek genetika   fyziologie   MeSH
• kalorická restrikce * MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladý dospělý MeSH
• obezita metabolismus   MeSH
• stanovení celkové genové exprese MeSH
• tuková tkáň metabolismus   MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladý dospělý MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH