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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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lncRNA - Long Non-coding RNAs02:39

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR qPCR Arrays
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Long Noncoding RNA Expression Profiling Using Arraystar LncRNA Microarrays.

Yanggu Shi1, Jindong Shang2

  • 1Arraystar Inc., 9430 Keywest Ave., Suite 128, Rockville, MD, 20850, USA. Yanggus@arraystar.com.

Methods in Molecular Biology (Clifton, N.J.)
|January 2, 2016
PubMed
Summary

Arraystar LncRNA microarrays offer comprehensive gene expression profiling for long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs). These powerful tools enable accurate detection of transcript variants for broad applications in biology and disease research.

Keywords:
Gene expression profilingLncRNALong noncoding RNAMicroarraylincRNA

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Long non-coding RNAs (lncRNAs) play crucial roles in gene regulation and cellular processes.
  • Understanding lncRNA expression and function is vital for biological and disease research.
  • Simultaneous profiling of lncRNAs and messenger RNAs (mRNAs) provides a more holistic view of gene expression.

Purpose of the Study:

  • To introduce Arraystar LncRNA microarrays for global gene expression profiling.
  • To highlight the capability of detecting alternatively spliced transcript isoforms.
  • To present a comprehensive analysis workflow for microarray data.

Main Methods:

  • Utilizing splice junction-specific probes or unique exon sequences for transcript detection.
  • Employing highly optimized experimental protocols for sensitive and robust data generation.
  • Implementing standard bioinformatics analyses including data processing, quality control, and differential expression analysis.

Main Results:

  • Accurate and reliable detection of lncRNAs and mRNAs, including alternatively spliced variants.
  • Identification of differentially expressed lncRNAs and mRNAs.
  • Elucidation of regulatory relationships between lncRNAs and mRNAs.
  • Functional annotation through gene ontology and pathway analysis.

Conclusions:

  • Arraystar LncRNA microarrays are powerful tools for comprehensive gene expression profiling.
  • These microarrays facilitate the study of lncRNAs in biological systems and disease contexts.
  • Applications include gene regulatory mechanism research, functional discovery, and biomarker development.