Introduction Circular RNA (circRNA) is a novel type of RNA that, unlike linear RNA, forms a covalently closed continuous loop, and is highly represented in the eukaryotic transcriptome. Most of these circRNAs are generated from exonic sequences, are conserved across species, and often show tissue/developmental-stage-specific expression. Circular RNAs are more stable than linear RNAs […]
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Dysregulation of H3K36 tri-methylation In clear cell renal cell carcinoma (ccRCC), read-through transcription and DoG formation are extensive due to defective transcription termination and consequent aberrant splicing [1]. Notably, H3K36 methyl transferase gene SETD2 is frequently mutated. SETD2 knockout in ccRCC cells induced read-through transcription[1]. Read-through transcription has also been observed in a variety of cancers, underlining this transcription
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The functional roles of read-through transcription and DoG RNAs are currently the focus of active research, with several proposed mechanisms highlighting their involvement in gene regulation. DoG RNAs mediate transcriptional interference in cell senescence DoGs can act as antisense RNAs to control the gene expression of convergent protein-coding genes. In senescent cells, a family of
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Downstream-of-gene (DoG) RNAs are RNA transcripts that arise downstream of ~10% of host genes and are continuous with their upstream RNAs [1]. DoGs are defined as having a minimal length of 5 kb beyond the polyadenylation signal (PAS) at transcription end site (TES), with maximal length up to 200 kb in mammalian cells [1]. Due
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DoG-derived chimera RNAs A chimeraRNA is produced by Cis-Splicing between Adjacent Genes (cis-SAGe) when RNA polymerase II skips the stop signals, generating a read-through pre-transcript of two neighboring genes (Fig. 1). It is estimated that ~5% of the tandem gene pairs in the human genome can be transcribed into single precursor RNAs and eventually spliced into chimeric RNAs.
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The identification and quantification of RNA G-quadruplex (rG4) in vivo is an essential step to study rG4 in cell biology and human diseases. Next-generation sequencing (NGS)-based techniques, such as G4RP-seq [1], BG4 uvRIP-seq, and DMS-seq plus RT Stop profiling[2], have been employed to investigate in rG4 vivo landscapes across the transcriptome and to assess quantitative
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Cancer metabolism is one of the core hallmarks of cancer [1, 2]. Mainly driven by oncogenic signaling pathways and by amplified or alternatively spliced metabolic enzymes, the characteristic and profound metabolic alteration allows cancer cells to accommodate metabolic demands to sustain growth, proliferation, and survival in nutrient fluctuating environment [3, 4](Fig. 1). Enhanced uptake of
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Introduction R-loops are three-stranded RNA:DNA loops when the nascently transcribed RNA anneals with the template DNA strand and displaces the non-template DNA as unpaired single strand. Besides nascent mRNAs, long non-coding RNAs (lncRNAs) may also create and form R-loops. Mounting evidences now support cells can harness R-loops to regulate gene expression in ways including epigenetic regulation,
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Arraystar offers both tRNA Modification Seq-m1A/m3C/m1G/m2,2G and Small RNA Modification Microarray for small RNA modification profiling. The comparison chart below can help you choose the most appropriate tool for your research purpose. tRNA Modification Seq-m1A/m3C/m1G/m2,2G Small RNA Modification Microarray For tRNA only For multiple small RNA classes including miRNAs, pre-miRNAs, tRNAs and tsRNAs(tRFs and tiRNAs). Single-base resolution of modification sites, important info for
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How to Choose the Appropriate Tool for Small RNA Modification Research? Molecular Mechanisms of Small RNA Modifications Small RNA Modifications: Integral to Functions and Diseases The Challenges and Solutions of Studying Modified Small RNAs Profiling small RNA modifications is a key step in studying the increasingly important epitranscriptomics of the small RNA classes. However, not
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