MicroRNAs (miRNAs) are small noncoding RNAs that act as potent regulators of gene expression. The discovery of miRNAs with specific temporal and spatial expression patterns revealed a hidden layer of post-transcriptio...
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MicroRNAs (miRNAs) are small noncoding RNAs that act as potent regulators of gene expression. The discovery of miRNAs with specific temporal and spatial expression patterns revealed a hidden layer of post-transcriptional gene regulation. Furthermore, differential expression of miRNAs during disease progression identified miRNAs as relevant candidate genes in human pathologies. Currently the exact roles of miRNAs in human development and disease progression remain largely unknown. There have been recent efforts to study the loss of these genes in vivo and this review will discuss published miRNA knockout mouse models, highlighting their potential mechanisms of action in vivo.
Two recent papers have identified genetic variants in the noncoding gene RNU4-2 to cause a frequent neurodevelopmental disorder. This work will have a substantial impact on the rare disease community, leading to thous...
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Two recent papers have identified genetic variants in the noncoding gene RNU4-2 to cause a frequent neurodevelopmental disorder. This work will have a substantial impact on the rare disease community, leading to thousands of diagnoses worldwide. These studies also highlight the untapped diagnostic potential of noncoding regions.
Viral protein synthesis in poliovirus infected cells was found to be influenced by mutations in part of the viral 5'-non-coding region (NCR) in a temperature dependent manner. At elevated temperatures these mutati...
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Viral protein synthesis in poliovirus infected cells was found to be influenced by mutations in part of the viral 5'-non-coding region (NCR) in a temperature dependent manner. At elevated temperatures these mutations resulted in virus titre reductions that allowed selection of revertant viruses. Some revertants were found to have retained the 5'-NCR mutations but had compensating mutations in the 2A protease gene that were responsible for the suppression of the temperature sensitive phenotypes. The mutations in 2A enhanced viral protein synthesis at a stage when cap dependent translation was already abolished, suggesting that the virally encoded protein 2A is directly involved in the process of cap independent translation in addition to its role in abolishing cap dependent translation.
Liver fibrosis continues to be a major health problem worldwide due to lack of effective *** the etiology cannot be eliminated,liver fibrosis progresses to cirrhosis and eventually to liver failure or malignancy;both ...
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Liver fibrosis continues to be a major health problem worldwide due to lack of effective *** the etiology cannot be eliminated,liver fibrosis progresses to cirrhosis and eventually to liver failure or malignancy;both are associated with a fatal *** transplantation,the only curative therapy,is still mostly *** fibrosis was shown to be a reversible process;however,complete reversibility remains ***,the molecular markers of liver fibrosis were shown to be transmitted across *** mechanisms including DNA methylation,histone posttranslational modifications and noncoding RNA have emerged as major determinants of gene expression during liver fibrogenesis and ***,epigenetic mechanisms have been shown to be transmitted through mitosis and meiosis to daughter cells and subsequent ***,the exact epigenetic regulation of complete liver fibrosis resolution and inheritance has not been fully *** communication will highlight the recent advances in the search for delineating the mechanisms governing resolution of liver fibrosis and the potential for multigenerational and transgenerational transmission of fibrosis *** fact that epigenetic changes,unlike genetic mutations,are reversible and can be modulated pharmacologically underscores the unique opportunity to develop effective therapy to completely reverse liver fibrosis,to prevent the development of malignancy and to regulate heritability of fibrosis phenotype.
Ralstonia solanacearum, a bacterial plant pathogen, poses a significant threat to tomato (Solanum lycopersicum) production through destructive wilt disease. While noncoding RNA has emerged as a crucial regulator in pl...
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Ralstonia solanacearum, a bacterial plant pathogen, poses a significant threat to tomato (Solanum lycopersicum) production through destructive wilt disease. While noncoding RNA has emerged as a crucial regulator in plant disease, its specific involvement in tomato bacterial wilt remains limited. Here, we conducted a comprehensive analysis of the transcriptional landscape, encompassing both mRNAs and noncoding RNAs, in a tomato resistant line ('ZRS_7') and a susceptible line ('HTY_9') upon R. solanacearum inoculation using high-throughput RNA sequencing. Differential expression (DE) analysis revealed significant alterations in 7506 mRNAs, 997 lncRNAs, and 69 miRNAs between 'ZRS_7' and 'HTY_9' after pathogen exposure. Notably, 4548 mRNAs, 367 lncRNAs, and 26 miRNAs exhibited genotype-specific responses to R. solanacearum inoculation. GO and KEGG pathway analyses unveiled the potential involvement of noncoding RNAs in the response to bacterial wilt disease, targeting receptor-like kinases, cell wall-related genes, glutamate decarboxylases, and other key pathways. Furthermore, we constructed a comprehensive competing endogenous RNA (ceRNA) network incorporating 13 DE-miRNAs, 30 DE-lncRNAs, and 127 DEGs, providing insights into their potential contributions to the response against bacterial inoculation. Importantly, the characterization of possible endogenous target mimics (eTMs) of Sly-miR482e-3p via VIGS technology demonstrated the significant impact of eTM482e-3p-1 silencing on tomato's sensitivity to R. solanacearum. These findings support the existence of an eTM482e-3p-1-Sly-miR482e-3p-NBS-LRRs network in regulating tomato's response to the pathogen. Collectively, our findings shed light on the intricate interactions among lncRNAs, miRNAs, and mRNAs as underlying factors in conferring resistance to R. solanacearum in tomato.
The classification of human gene sequences into exons and introns is a difficult problem in DNA sequence analysis. In this paper, we define a set of features, called the simple Z (SZ) features, which is derived from t...
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The classification of human gene sequences into exons and introns is a difficult problem in DNA sequence analysis. In this paper, we define a set of features, called the simple Z (SZ) features, which is derived from the Z-curve features for the recognition of human exons and introns. The classification results show that SZ features, while fewer in numbers (three in total), can preserve the high recognition rate of the original nine Z-curve features. Since the size of SZ features is one-third of the Z-curve features, the dimensionality of the feature space is much smaller, and better recognition efficiency is achieved. If the stop codon feature is used together with the three SZ features, a recognition rate of up to 92% for short sequences of length <140bp can be obtained.
We address the problem of the statistical analysis of a time series generated by complex dynamics with the diffusion entropy analysis (DEA) [N. Scafetta, P. Hamilton, and P. Grigolini, Fractals 9, 193 (2001)]. This me...
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We address the problem of the statistical analysis of a time series generated by complex dynamics with the diffusion entropy analysis (DEA) [N. Scafetta, P. Hamilton, and P. Grigolini, Fractals 9, 193 (2001)]. This method is based on the evaluation of the Shannon entropy of the diffusion process generated by the time series imagined as a physical source of fluctuations, rather than on the measurement of the variance of this diffusion process, as done with the traditional methods. We compare the DEA to the traditional methods of scaling detection and prove that the DEA is the only method that always yields the correct scaling value, if the scaling condition applies. Furthermore, DEA detects the real scaling of a time series without requiring any form of detrending. We show that the joint use of DEA and variance method allows to assess whether a time series is characterized by Lévy or Gauss statistics. We apply the DEA to the study of DNA sequences and prove that their large-time scales are characterized by Lévy statistics, regardless of whether they are coding or noncoding sequences. We show that the DEA is a reliable technique and, at the same time, we use it to confirm the validity of the dynamic approach to the DNA sequences, proposed in earlier work.
Amongst endonuclease, the homodimeric variety is found in many prokaryotes for processing of the introns out from pre-RNAs. But as the variety and the complexity of introns rise with evolution, do the homodimeric endo...
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Amongst endonuclease, the homodimeric variety is found in many prokaryotes for processing of the introns out from pre-RNAs. But as the variety and the complexity of introns rise with evolution, do the homodimeric endonuclease adapt to the changes? The correlations between evolving pre-RNAs and adapting homodimeric endonuclease in lower prokaryotes is investigated in this paper. First, we construct and observe the appearance of a long branch in the phylogeny based on homodimeric endonuclease. To appreciate the finer aspects of accelerating evolution near this long branch, we delve deeper into the pre-RNA substrates of the endonuclease. Computational evidence of an as-yet-unreported noncoding RNA gene then emerges from this study. The capabilities of homodimeric endonuclease and the complexities of its pre-RNA substrates appear to evolve in steps together.
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