temporal coding
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Celogenomové sekvenační analýzy odhalily, že převážná část lidského genomu je transkribována, a identifikovaly tisíce protein nekódujících transkriptů. Nekódující RNA (ncRNA) se dělí na dvě hlavní skupiny: malé a dlouhé ncRNA. Tento přehledový článek je zaměřen na ncRNA s regulační funkcí, a to především na mikroRNA a dlouhé ncRNA. Tyto ncRNA regulují genovou expresi na transkripční a posttranskripční úrovni. V tomto kontextu ncRNA zasahují do regulace většiny buněčných procesů a jejich deregulace má vážné dopady na fenotyp. Již stovky studií prokázaly zapojení ncRNA do patogeneze mnoha onemocnění, od metabolických poruch přes onemocnění orgánových systémů až po různé typy nádorů. Z klinického hlediska patří ncRNA do nové generace diagnostických a prognostických biomarkerů s velkým potenciálem. Vzhledem k vysoké tkáňové specifciitě a schopnosti regulovat více genů často v rámci jedné signální dráhy představují ncRNA i atraktivní terapeutické cíle. Narůstající poznatky o širokém spektru působení ncRNA ukazují na klíčovou roli těchto transkriptů v regulaci exprese. Řada aspektů z biologie ncRNA ještě není objasněna a jejich pochopení nám poskytne nový pohled na komplexnost regulační sítě.
Whole-genome sequencing analyses revealed that the majority of the human genome is transcribed and identified thousands of protein non-coding transcripts. Non-coding RNAs (ncRNAs) are divided into two main groups: small and long ncRNAs. This review is focused on the regulatory ncRNAs mainly on microRNAs and long ncRNAs. These ncRNAs regulate gene expression at the transcriptional and post-transcriptional levels. In this context, ncRNAs are involved in the regulation of most cellular processes and their deregulation has serious impacts on the phenotype. Hundreds of studies have implicated ncRNAs in the pathogenesis of many diseases ranging from metabolic disorders to diseases of organ systems as well as various types of cancers. Clinically, ncRNAs belong to a new generation of diagnostic and prognostic biomarkers with a great potential. Due to high tissue specificity and ability to regulate multiple genes often within one signaling pathway, ncRNAs represent attractive therapeutic targets. Increasing knowledge about a wide spectrum of ncRNA actions demonstrate a pivotal role of these transcripts in expression regulation. Many aspects of the ncRNA biology are still unclear and their understanding will provide us a new perspective on the complexity of the regulatory network.
Cardiac arrhythmias represent wide and heterogenic group of disturbances in the cardiac rhythm. Pathophysiology of individual arrhythmias is highly complex and dysfunction in ion channels/currents involved in generation or spreading of action potential is usually documented. Non-coding RNAs (ncRNAs) represent highly variable group of molecules regulating the heart expression program, including regulation of the expression of individual ion channels and intercellular connection proteins, e.g. connexins.Within this chapter, we will describe basic electrophysiological properties of the myocardium. We will focus on action potential generation and spreading in pacemaker and non-pacemaker cells, including description of individual ion channels (natrium, potassium and calcium) and their ncRNA-mediated regulation. Most of the studies have so far focused on microRNAs, thus, their regulatory function will be described into greater detail. Clinical consequences of altered ncRNA regulatory function will also be described together with potential future directions of the research in the field.
- MeSH
- iontové kanály MeSH
- lidé MeSH
- mikro RNA MeSH
- nekódující RNA * MeSH
- srdce MeSH
- srdeční arytmie * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Osteoarthritis (OA) is a frequent musculoskeletal disorder affecting millions of people worldwide. Despite advances in understanding the pathogenesis of OA, prognostic biomarkers or effective targeted treatment are not currently available. Research on epigenetic factors has yielded some new insights as new technologies for their detection continue to emerge. In this context, non-coding RNAs, including microRNAs, long non-coding RNAs, circular RNAs, piwi-interacting RNAs, and small nucleolar RNAs, regulate intracellular signaling pathways and biological processes that have a crucial role in the development of several diseases. In this review, we present current knowledge on the role of epigenetic factors with a focus on non-coding RNAs in the development, prediction and treatment of OA. This article is categorized under: RNA in Disease and Development > RNA in Disease.
- MeSH
- kruhová RNA MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- osteoartróza * genetika MeSH
- Piwi-interagující RNA MeSH
- RNA dlouhá nekódující * genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
The majority of the human genome encodes RNAs that do not code for proteins. These non-coding RNAs (ncRNAs) affect normal expression of the genes, including oncogenes and tumour suppressive genes, which make them a new class of targets for drug development in cancer. Although microRNAs (miRNAs) are the most studied regulatory ncRNAs to date, and miRNA-targeted therapeutics have already reached clinical development, including the mimics of the tumour suppressive miRNAs miR-34 and miR-16, which reached phase I clinical trials for the treatment of liver cancer and mesothelioma, the importance of long non-coding RNAs (lncRNAs) is increasingly being recognised. Here, we describe obstacles and advances in the development of ncRNA therapeutics and provide the comprehensive overview of the ncRNA chemistry and delivery technologies. Furthermore, we summarise recent knowledge on the biological functions of miRNAs and their involvement in carcinogenesis, and discuss the strategies of their therapeutic manipulation in cancer. We review also the emerging insights into the role of lncRNAs and their potential as targets for novel treatment paradigms. Finally, we provide the up-to-date summary of clinical trials involving miRNAs and future directions in the development of ncRNA therapeutics.
- MeSH
- cílená molekulární terapie metody trendy MeSH
- lidé MeSH
- mikro RNA genetika MeSH
- modely genetické MeSH
- nádory farmakoterapie genetika MeSH
- nekódující RNA genetika MeSH
- protinádorové látky terapeutické užití MeSH
- regulace genové exprese u nádorů účinky léků MeSH
- RNA dlouhá nekódující genetika MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Understanding the neural systems underpinning social cognition is a primary focus of contemporary social neuroscience. Using functional magnetic resonance imaging (fMRI), the present study asked if brain activity reflecting socio-cognitive processes differs between individuals according to their social behavior; namely, between a group of drivers with frequent traffic offenses and a group with none. Socio-cognitive processing was elicited by employing videos from a traffic awareness campaign, consisting of reckless and anti-social driving behavior ending in tragic consequences, and control videos with analogous driving themes but without such catastrophic endings. We investigated whether relative increases in brain function during the observation of these campaign stimuli compared with control videos differed between these two groups. To develop the results of our previous study we focused our analyses on superior temporal sulcus/gyrus (STS/STG). This revealed a bigger increase in brain activity within this region during the campaign stimuli in safe compared with dangerous drivers. Furthermore, by thematically coding drivers' verbal descriptions of the stimuli, we also demonstrate differences in STS reactivity according to drivers' scores on two indices of socio-cognitive processing: subjects' perceived consequences of actors' actions, and their affective evaluation of the clips. Our results demonstrate the influence of social behavior and socio-cognitive processing on STS reactivity to social stimuli, developing considerably our understanding of the role of this region in social cognition.
- MeSH
- dopravní nehody psychologie MeSH
- dospělí MeSH
- lidé MeSH
- magnetická rezonanční tomografie MeSH
- mapování mozku * MeSH
- mladý dospělý MeSH
- počítačové zpracování obrazu MeSH
- řízení motorových vozidel psychologie MeSH
- sociální chování * MeSH
- spánkový lalok patofyziologie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
The circulating human transcriptome, which includes both coding and non-coding RNA (ncRNA) molecules, represents a rich source of potential biomarkers for colorectal cancer (CRC) that has only recently been explored. In particular, the release of RNA-containing extracellular vesicles (EVs), in a multitude of different in vitro cell systems and in a variety of body fluids, has attracted wide interest. The role of RNA species in EVs is still not fully understood, but their capacity to act as a form of distant communication between cells and their higher abundance in association with cancer demonstrated their relevance. In this review, we report the evidence from both in vitro and human studies on microRNAs (miRNAs) and other ncRNA profiles analysed in EVs in relation to CRC as diagnostic, prognostic and predictive markers. The studies so far highlighted that, in exosomes, the most studied category of EVs, several miRNAs are able to accurately discriminate CRC cases from controls as well as to describe the progression of the disease and its prognosis. Most of the time, the in vitro findings support the miRNA profiles detected in human exosomes. The expression profiles measured in exosomes and other EVs differ and, interestingly, there is a variability of expression also among different subsets of exosomes according to their proteic profile. On the other hand, evidence is still limited for what concerns exosome miRNAs as early diagnostic and predictive markers of treatment. Several other ncRNAs that are carried by exosomes, mostly long ncRNAs and circular RNAs, seem also to be dysregulated in CRC. Besides various technical challenges, such as the standardisation of EVs isolation methods and the optimisation of methodologies to characterise the whole spectrum of RNA molecules in exosomes, further studies are needed in order to elucidate their relevance as CRC markers.
- MeSH
- exozómy genetika metabolismus MeSH
- extracelulární vezikuly genetika metabolismus MeSH
- kolorektální nádory krev diagnóza genetika metabolismus MeSH
- lidé MeSH
- mikro RNA genetika metabolismus MeSH
- nádorové biomarkery genetika metabolismus MeSH
- nekódující RNA genetika metabolismus MeSH
- progrese nemoci MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
The significance of long non-coding RNAs (lncRNAs) in the development and progression of human cancers has attracted increasing attention in recent years of investigations. Having versatile interactions and diverse functions, lncRNAs can act as oncogenes or tumor-suppressors to actively regulate cell proliferation, survival, stemness, drug resistance, invasion and metastasis. LINC00467, an oncogenic member of long intergenic non-coding RNAs, is upregulated in numerous malignancies and its high expression is often related to poor clinicopathological features. LINC00467 facilitates the progression of cancer via sponging tumor-suppressive microRNAs, inhibiting cell death cascade, modulating cell cycle controllers, and regulating signalling pathways including AKT, STAT3, NF-κB and Wnt/β-catenin. A growing number of studies have revealed that LINC00467 may serve as a novel prognostic biomarker and its inhibitory targeting has a valuable therapeutic potential to suppress the malignant phenotypes of cancer cells. In the present review, we discuss the importance of LINC00467 and provide a comprehensive collection of its functions and molecular mechanisms in a variety of cancer types.
- MeSH
- beta-katenin genetika MeSH
- biologické markery MeSH
- karcinogeneze genetika MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- nádorové buněčné linie MeSH
- nádory * genetika MeSH
- NF-kappa B MeSH
- onkogeny genetika MeSH
- proliferace buněk genetika MeSH
- protoonkogenní proteiny c-akt genetika MeSH
- regulace genové exprese u nádorů MeSH
- RNA dlouhá nekódující * genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Cells must change their properties in order to adapt to a constantly changing environment. Most of the cellular sensing and regulatory mechanisms described so far are based on proteins that serve as sensors, signal transducers, and effectors of signalling pathways, resulting in altered cell physiology. In recent years, however, remarkable examples of the critical role of non-coding RNAs in some of these regulatory pathways have been described in various organisms. In this review, we focus on all classes of non-coding RNAs that play regulatory roles during stress response, starvation, and ageing in different yeast species as well as in structured yeast populations. Such regulation can occur, for example, by modulating the amount and functional state of tRNAs, rRNAs, or snRNAs that are directly involved in the processes of translation and splicing. In addition, long non-coding RNAs and microRNA-like molecules are bona fide regulators of the expression of their target genes. Non-coding RNAs thus represent an additional level of cellular regulation that is gradually being uncovered.
- MeSH
- mikro RNA * genetika MeSH
- RNA dlouhá nekódující * genetika MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Genomic regions that encode small RNA genes exhibit characteristic patterns in their sequence, secondary structure, and evolutionary conservation. Convolutional Neural Networks are a family of algorithms that can classify data based on learned patterns. Here we present MuStARD an application of Convolutional Neural Networks that can learn patterns associated with user-defined sets of genomic regions, and scan large genomic areas for novel regions exhibiting similar characteristics. We demonstrate that MuStARD is a generic method that can be trained on different classes of human small RNA genomic loci, without need for domain specific knowledge, due to the automated feature and background selection processes built into the model. We also demonstrate the ability of MuStARD for inter-species identification of functional elements by predicting mouse small RNAs (pre-miRNAs and snoRNAs) using models trained on the human genome. MuStARD can be used to filter small RNA-Seq datasets for identification of novel small RNA loci, intra- and inter- species, as demonstrated in three use cases of human, mouse, and fly pre-miRNA prediction. MuStARD is easy to deploy and extend to a variety of genomic classification questions. Code and trained models are freely available at gitlab.com/RBP_Bioinformatics/mustard.
- MeSH
- algoritmy MeSH
- genomika metody MeSH
- lidé MeSH
- malá jadérková RNA genetika MeSH
- mikro RNA genetika MeSH
- myši MeSH
- nekódující RNA genetika MeSH
- neuronové sítě MeSH
- software MeSH
- výpočetní biologie metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
