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DoG-derived Chimera RNAs and Circular RNAs in Cancers and Diseases

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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Arraystar rG4 Microarray – The Gold Standard of Profiling in vivo rG4s

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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Overview of Cancer Metabolism

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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mRNA/lncRNA Organized R-loops: An Active Player in Transcription Regulation

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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How to Choose the Appropriate Tool for Small RNA Modification Research?

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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The Challenges and Solutions of Studying Modified Small RNAs

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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Small RNA Modifications: Integral to Functions and Diseases

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 Introduction Small RNAs, including microRNAs (miRNAs) and tRNA-derived small RNAs (tsRNAs), harbor a diversity of RNA modifications. RNA modifications such as

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Limitations of m6A-seq and Solutions of Arraystar m6A Single Nucleotide Arrays

N6-methyladenosine is the most abundant RNA modification in mammalian mRNA and long non-coding RNA, occurring on average in three to five sites per transcript[1,2]. Profiling m6A at single nucleotide resolution has been challenging. m6A on lower abundance mRNAs/lncRNAs, the inert reactivity of the methyl group, and interference from RNA structure near the modification site further contribute

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