Reviews

Efficient and Robust Labeling System

In traditional gene expression profiling experiments, RNA labeling is typically initiated by oligo-dT-primed reverse transcription, which cannot generate Cy3- or Cy5-labeled antisense RNAs along the entire length of the transcript without 3′ bias. Furthermore, this labeling method excludes a significant fraction (>25%) of RNA molecules that lack a classical poly(A) tail [1, 2]. To solve […]

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LncRNA Array Performance

Comprehensive & Reliable Collection •   Arraystar’s LncRNA Arrays are designed using our comprehensive and reliable Long non-coding RNAs database, which integrates the lncRNAs carefully collected from the most authoritative databases, such as Refseq, UCSC known genes, Ensembl and many relative literatures. Most importantly, our database is continually updated to ensure that all the latest annotated LncRNAs are being covered.

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Why Use Microarray Over RNA-seq for Circular RNA Expression Profiling?

circular RNA expression profiling by RNA-seq faces major numerical and practical challenges.  Numerically, circular RNAs as a population are typically present at much lower abundance levels, at about 5~10% of linear RNAs (Fig. 1A). The cross circular junction sequences necessary for circular RNA identification are even lower as a fraction of the full length transcripts

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Why Study Circular RNA?

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 owing

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