Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

19.0K
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...
19.0K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.1K
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...
9.1K
Ribosome Profiling02:24

Ribosome Profiling

3.7K
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
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.7K
RNA-seq03:21

RNA-seq

10.6K
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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Circular RNA Expression Profiling by Microarray-A Technical and Practical Perspective.

Biomolecules·2023
Same author

Long Noncoding RNA Expression Profiling Using Arraystar LncRNA Microarrays.

Methods in molecular biology (Clifton, N.J.)·2016
Same author

Development of a rapid, reliable genetic test for pseudoxanthoma elasticum.

The Journal of molecular diagnostics : JMD·2007
Same author

AlbuBNP, a recombinant B-type natriuretic peptide and human serum albumin fusion hormone, as a long-term therapy of congestive heart failure.

Pharmaceutical research·2004
Same author

GDF-3 is an adipogenic cytokine under high fat dietary condition.

Biochemical and biophysical research communications·2004
Same author

Synleurin, a novel leucine-rich repeat protein that increases the intensity of pleiotropic cytokine responses.

Biochemical and biophysical research communications·2003

Related Experiment Video

Updated: Oct 23, 2025

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR qPCR Arrays
10:58

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR qPCR Arrays

Published on: December 3, 2010

17.5K

Long Non-coding RNA Expression Profiling Using Arraystar LncRNA Microarrays.

Yanggu Shi1, Jindong Shang2

  • 1Arraystar Inc., Rockville, MD, USA. Yanggus@arraystar.com.

Methods in Molecular Biology (Clifton, N.J.)
|August 21, 2021
PubMed
Summary

Arraystar LncRNA microarrays offer comprehensive transcriptome-wide gene expression profiling for long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs). This powerful tool enables accurate detection of variants and supports broad applications in biological and disease research.

Keywords:
ArraystarBiomarkerEpigeneticsExpression profilingGene expressionGene regulationLong non-coding RNAMicroarrayceRNAlincRNAlncRNA

More Related Videos

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.5K
Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
16:24

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells

Published on: February 21, 2014

20.4K

Related Experiment Videos

Last Updated: Oct 23, 2025

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR qPCR Arrays
10:58

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR qPCR Arrays

Published on: December 3, 2010

17.5K
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.5K
Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
16:24

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells

Published on: February 21, 2014

20.4K

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 essential for deciphering complex biological mechanisms and disease pathologies.
  • Existing methods may have limitations in comprehensively profiling both lncRNAs and mRNAs simultaneously.

Purpose of the Study:

  • To introduce and validate Arraystar LncRNA microarrays for simultaneous transcriptome-wide profiling of lncRNAs and mRNAs.
  • To demonstrate the capability of the microarrays in accurately detecting alternatively spliced transcript variants.
  • To showcase the utility of the microarrays in various applications including gene expression analysis, regulatory mechanism research, and biomarker discovery.

Main Methods:

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

Main Results:

  • The microarrays provide comprehensive profiling of both lncRNAs and canonical mRNAs on a single platform.
  • Accurate detection of alternatively spliced transcript isoforms and variants is achieved.
  • Standardized data analysis pipelines facilitate in-depth biological interpretation, including regulatory relationships and pathway enrichment.

Conclusions:

  • Arraystar LncRNA microarrays are a powerful and versatile tool for lncRNA and mRNA expression profiling.
  • The technology supports accurate variant detection and facilitates research into gene regulatory mechanisms.
  • Broad applications in basic research, disease study, and biomarker development are enabled by this microarray platform.