Unlike protein coding genes, publically available long non-coding RNAs (lncRNAs) are often scantily annotated, partial in scope and scattered in collection. Arraystar maintains high quality proprietary transcriptome and lncRNA databases to extensively collect lncRNAs through our lncRNA discovery pipelines, external data sources, and knowledge-based mining of scientific publications. Arraystar Human LncRNA Array V4.0 has a total of […]
Microarrays have been used for decades as the standard technology platform for gene expression profiling. In recent years, Next Generation Sequencing (NGS), which measures gene expression levels by quantifying transcript read densities in the whole transcriptome, has become increasingly popular for gene expression studies. Long non-coding RNAs (LncRNAs) are non-protein coding transcripts longer than 200
LncRNA Arrays: Better Than RNA-seq for LncRNA Expression Profiling Read More »
LncPath™ Pathway Focused LncRNA Arrays Long non-coding RNAs (LncRNAs) are non-coding RNA transcripts longer than 200 nt. LncRNAs play important roles in a wide range of biological processes. Dysregulated LncRNAs are associated with many complex human diseases such as cancers, Alzheimer’s disease, and heart diseases. To facilitate the functional study of LncRNAs and the understanding
Discover New Players in Pathways Diseases – LncRNAs and Their Target Genes Read More »
Introduction In higher eukaryotes, multi-exon genes can encode different transcript isoforms via alternative splicing (AS), greatly increasing the diversity of proteins. A vast variety of isoforms generated by alternative splicing have specific roles in tissues or stages of development., Further, changes in normal isoform expression have phenotypic consequences and have been associated with disease [1]. For example,
LncRNAs are RNA transcripts that resemble protein-coding messenger RNAs (mRNAs) in practically every way except that they do not encode proteins. LncRNAs have recently emerged as major players in governing fundamental biological processes. Profiling expression levels of LncRNAs poses a number of special challenges, including: • Lack of comprehensive and reliable public LncRNA databases • Low expression
Long Non-Coding RNA Profiling Challenges and Solutions Read More »
Introduction Long non-coding RNAs (LncRNAs) are evolutionarily conserved, longer than 200nt, non-coding RNA molecules found in eukaryotes. Growing evidence suggests that LncRNAs have emerged as important regulators for diverse functions1. LncRNAs are involved in a surprisingly wide variety of cellular functions, including epigenetic silencing, transcriptional regulation, RNA processing, and RNA modification2. In addition, LncRNAs have
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
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.
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
Why Use Microarray Over RNA-seq for Circular RNA Expression Profiling? Read More »
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