non-coding rnas (ncrnas) are emerging as an important player in the regulation of genome integrity and gene expression, and they have been implicated in the pathogenesis of many diseases. The aim of the present study ...
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non-coding rnas (ncrnas) are emerging as an important player in the regulation of genome integrity and gene expression, and they have been implicated in the pathogenesis of many diseases. The aim of the present study is to identify the repertoire of ncrnas expressed in the developing mouse lens. We previously reported the mouse lens transcriptome, including mrna and microrna (mirna) profiling at two embryonic (E15 and E18) and four postnatal (P0, P3, P6, and P9) time points. We analyzed the data from small rna-Seq and mrna-Seq libraries to investigate the ncrna profile. Our analysis revealed expression of 12 different classes of ncrna in the murine lens at six developmental time points. Annotation of small rna data showed expression of 1,756 antisense ncrna (asncrna) in the mouse lens transcriptome. Likewise, we identified 82 P-element-induced wimpy testis (PIWI)-interacting rna (pirna), 345 transfer rna (trna), 12 small nuclear rna (snrna), 167 small nucleolar rna (snorna), 19 small Cajal body specific rna (scarna), six ribosomal rna (rrna), 18 trna-like structures, one MALAT1-associated small cytoplasmic rna (mascrna), one Vault rna (vtrna), and one Y rna expressed in the developing mouse lens. In parallel, bioinformatic investigation of mrna-Seq data identified expression of 1,952 long intergenic ncrna (lincrna) in the developing mouse lens. In conclusion, we report a comprehensive ncrna profile in the murine lens at six developmental time points. To the best of our knowledge, this is first report investigating different classes of ncrnas in the developing mouse lens and will be monumental in elucidating processes essential for the development of the ocular lens and the maintenance of its transparency. (C) 2016 Elsevier Ltd. All rights reserved.
Dementia is a complex clinical syndrome characterised by progressive decline in cognitive function. It usually presents itself as impairment in memory, loss of judgement, abstract thinking and other disturbances that ...
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Small rnas are not only involved in post-transcriptional gene silencing in the cytoplasm, but also modulate activities of the nuclear genome. Although silencing of mrnas involves rna-rna base-pairing, it remains uncle...
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Small rnas are not only involved in post-transcriptional gene silencing in the cytoplasm, but also modulate activities of the nuclear genome. Although silencing of mrnas involves rna-rna base-pairing, it remains unclear whether the rnai machinery responsible for chromatin or DNA modification interacts with DNA or rna. The identification of an rna helicase required for chromatin-Argonaute protein interaction as well as the presence of Argonaute-associated long non-coding transcripts in Tetrahymena suggest the presence of rna-rna interactions prior to small rna-induced heterochromatin formation in ciliates.
Rfam is a database of non-coding rna families in which each family is represented by a multiple sequence alignment, a consensus secondary structure, and a covariance model. Using a combination of manual and literature...
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A hexanucleotide repeat expansion in the first intron/promoter region of C9orf72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Both sense and antisense tran...
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non-coding rnas(ncrnas)participate in multiple biological processes associated with cancers as tumor suppressors or oncogenic *** to their high stability in plasma,urine,and many other fluids,ncrnas have the potential...
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non-coding rnas(ncrnas)participate in multiple biological processes associated with cancers as tumor suppressors or oncogenic *** to their high stability in plasma,urine,and many other fluids,ncrnas have the potential to serve as key biomarkers for early diagnosis and screening of *** cancer progression,tumor heterogeneity plays a crucial role,and it is particularly important to understand the gene expression patterns of individual *** the development of single-cell rna sequencing(scrna-seq)technologies,uncovering gene expression in different cell types for human cancers has become feasible by profiling transcriptomes at the cellular ***,a well-organized and comprehensive online resource that provides access to the expression of genes corresponding to ncrna biomarkers in different cell types at the single-cell level is not available ***,we developed the SCancerrna database to summarize experimentally supported data on long ncrna,microrna,PIWI-interacting rna,small nucleolar rna,and circular rna biomarkers,as well as data on their differential expression at the cellular ***,we collected biological functions and clinical applications of biomarkers to facilitate the application of ncrna biomarkers to cancer diagnosis,as well as the monitoring of progression and targeted *** also allows users to explore interaction networks of different types of ncrnas,and build computational models in the *** is freely accessible at http://***/BioMarker.
Multisubunit rna polymerase (Pol) complexes are the core machinery for gene expression in eukaryotes. The enzymes Pol I, Pol II and Pol III transcribe distinct subsets of nuclear genes. This family of nuclear rna poly...
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Multisubunit rna polymerase (Pol) complexes are the core machinery for gene expression in eukaryotes. The enzymes Pol I, Pol II and Pol III transcribe distinct subsets of nuclear genes. This family of nuclear rna polymerases expanded in terrestrial plants by the duplication of Pol II subunit genes. Two Pol II-related enzymes, Pol IV and Pol V, are highly specialized in the production of regulatory, non-coding rnas. Pol IV and Pol V are the central players of rna-directed DNA methylation (RdDM), an rna interference pathway that represses transposable elements (TEs) and selected genes. Genetic and biochemical analyses of Pol IV/V subunits are now revealing how these enzymes evolved from ancestral Pol II to sustain non-coding rna biogenesis in silent chromatin. Intriguingly, Pol IV-RdDM regulates genes that influence flowering time, reproductive development, stress responses and plant-pathogen interactions. Pol IV target genes vary among closely related taxa, indicating that these regulatory circuits are often species-specific. Data from crops like maize, rice, tomato and Brassica rapa suggest that dynamic repositioning of TEs, accompanied by Pol IV targeting to TE-proximal genes, leads to the reprogramming of plant gene expression over short evolutionary timescales.
Head and neck cancer(HNC)is ranked as the sixth most common malignant tumor,and the overall survival rate with current treatment options remains concerning,primarily due to drug resistance that develops following anti...
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Head and neck cancer(HNC)is ranked as the sixth most common malignant tumor,and the overall survival rate with current treatment options remains concerning,primarily due to drug resistance that develops following antitumor *** studies indicate that non-coding rnas play a crucial role in drug resistance among HNC *** article systematically reviews the current research landscape,explores novel targets and treatment strategies related to non-coding rnas and HNC resistance,raises some unresolved issues,and discusses five promising research directions in this field:ferroptosis,nanomedicine,exosomes,proteolysis-targeting chimeras(PROTACs),and artificial *** hope that our work will contribute to advancing research on overcoming HNC resistance through the regulation of non-coding rnas.
Small non-coding rna genes have been shown to play important regulatory roles in a variety of cellular processes, but prediction of non-coding rna genes is a great challenge, using either an experimental or a computat...
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Small non-coding rna genes have been shown to play important regulatory roles in a variety of cellular processes, but prediction of non-coding rna genes is a great challenge, using either an experimental or a computational approach, due to the characteristics of srnas, which are that srnas are small in size, are not translated into proteins and show variable stability. Most known srnas have been identified in Escherichia coli and have been shown to be conserved in closely related organisms. We have developed an integrative approach that searches highly conserved intergenic regions among related bacterial genomes for combinations of characteristics that have been extracted from known E. coli srna genes. Support vector machines (SVM) were then used with these characteristics to predict novel srna genes. (c) 2010 Elsevier Ltd. All rights reserved.
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