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      The Pol III transcriptome: Basic features, recurrent patterns, and emerging roles in cancer

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          Abstract

          The RNA polymerase III (Pol III) transcriptome is universally comprised of short, highly structured noncoding RNA (ncRNA). Through RNA–protein interactions, the Pol III transcriptome actuates functional activities ranging from nuclear gene regulation (7SK), splicing (U6, U6atac), and RNA maturation and stability (RMRP, RPPH1, Y RNA), to cytoplasmic protein targeting (7SL) and translation (tRNA, 5S rRNA). In higher eukaryotes, the Pol III transcriptome has expanded to include additional, recently evolved ncRNA species that effectively broaden the footprint of Pol III transcription to additional cellular activities. Newly evolved ncRNAs function as riboregulators of autophagy (vault), immune signaling cascades (nc886), and translation (Alu, BC200, snaR). Notably, upregulation of Pol III transcription is frequently observed in cancer, and multiple ncRNA species are linked to both cancer progression and poor survival outcomes among cancer patients. In this review, we outline the basic features and functions of the Pol III transcriptome, and the evidence for dysregulation and dysfunction for each ncRNA in cancer. When taken together, recurrent patterns emerge, ranging from shared functional motifs that include molecular scaffolding and protein sequestration, overlapping protein interactions, and immunostimulatory activities, to the biogenesis of analogous small RNA fragments and noncanonical miRNAs, augmenting the function of the Pol III transcriptome and further broadening its role in cancer.

          This article is categorized under:

          RNA in Disease and Development > RNA in Disease

          RNA Processing > Processing of Small RNAs

          RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications

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          Most cited references270

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          Initial sequencing and analysis of the human genome.

          The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
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            Understanding alternative splicing: towards a cellular code.

            In violation of the 'one gene, one polypeptide' rule, alternative splicing allows individual genes to produce multiple protein isoforms - thereby playing a central part in generating complex proteomes. Alternative splicing also has a largely hidden function in quantitative gene control, by targeting RNAs for nonsense-mediated decay. Traditional gene-by-gene investigations of alternative splicing mechanisms are now being complemented by global approaches. These promise to reveal details of the nature and operation of cellular codes that are constituted by combinations of regulatory elements in pre-mRNA substrates and by cellular complements of splicing regulators, which together determine regulated splicing pathways.
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              GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes

              Transfer RNAs represent the largest, most ubiquitous class of non-protein coding RNA genes found in all living organisms. The tRNAscan-SE search tool has become the de facto standard for annotating tRNA genes in genomes, and the Genomic tRNA Database (GtRNAdb) was created as a portal for interactive exploration of these gene predictions. Since its published description in 2009, the GtRNAdb has steadily grown in content, and remains the most commonly cited web-based source of tRNA gene information. In this update, we describe not only a major increase in the number of tRNA predictions (>367000) and genomes analyzed (>4370), but more importantly, the integration of new analytic and functional data to improve the quality and biological context of tRNA gene predictions. New information drawn from other sources includes tRNA modification data, epigenetic data, single nucleotide polymorphisms, gene expression and evolutionary conservation. A richer set of analytic data is also presented, including better tRNA functional prediction, non-canonical features, predicted structural impacts from sequence variants and minimum free energy structural predictions. Views of tRNA genes in genomic context are provided via direct links to the UCSC genome browsers. The database can be searched by sequence or gene features, and is available at http://gtrnadb.ucsc.edu/.
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                Author and article information

                Journal
                101536955
                38433
                Wiley Interdiscip Rev RNA
                Wiley Interdiscip Rev RNA
                Wiley interdisciplinary reviews. RNA
                1757-7004
                1757-7012
                22 May 2023
                Sep-Oct 2023
                08 February 2023
                28 September 2023
                : 14
                : 5
                : e1782
                Affiliations
                [1 ]Department of Cell and Developmental Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
                [2 ]Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
                Author notes

                AUTHOR CONTRIBUTIONS

                Sihang Zhou: Visualization (equal); writing – original draft (equal); writing – review and editing (equal). Kevin Van Bortle: Visualization (equal); writing – original draft (equal); writing – review and editing (equal).

                Correspondence Kevin Van Bortle, Department of Cell and Developmental Biology, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA. kvbortle@ 123456illinois.edu
                Author information
                http://orcid.org/0000-0002-7132-1560
                http://orcid.org/0000-0003-0733-083
                Article
                NIHMS1899266
                10.1002/wrna.1782
                10498592
                36754845
                6e96a542-1108-458b-862c-578dd395d2a3

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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                Categories
                Article

                rna polymerase iii,small rna,noncoding rna,cancer biology,transcription

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