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Related Concept Videos

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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DNA Microarrays02:34

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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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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.
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Related Experiment Video

Updated: Apr 25, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq.

Kirk J Mantione1, Richard M Kream1, Hana Kuzelova2

  • 1Neuroscience Research Institute, State University of New York, College at Old Westbury, Old Westbury, USA.

Medical Science Monitor Basic Research
|August 24, 2014
PubMed
Summary
This summary is machine-generated.

DNA microarrays and RNA-Sequencing (RNA-Seq) are key for measuring gene expression. While microarrays are cost-effective for model organisms, RNA-Seq offers future potential, with both techniques complementing each other.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Gene expression control is fundamental to understanding genotype-phenotype relationships.
  • Accurate transcript abundance measurement is crucial in biological research.
  • Novel technologies like DNA microarrays and RNA-Sequencing (RNA-Seq) have been developed for this purpose.

Purpose of the Study:

  • To compare DNA microarrays and RNA-Seq for whole transcriptome gene expression profiling.
  • To evaluate the current and future roles of these two technologies.

Main Methods:

  • Review of existing literature and technologies for gene expression profiling.
  • Comparative analysis of DNA microarray and RNA-Seq methodologies.

Main Results:

  • DNA microarrays are reliable and cost-effective for gene expression profiling in model organisms.
  • RNA-Seq is poised for more routine use, though currently complementary to microarrays.
  • Microarrays will retain specific applications, not becoming entirely obsolete.

Conclusions:

  • Both DNA microarrays and RNA-Seq are valuable tools for gene expression analysis.
  • RNA-Seq shows significant promise for future bioinformatic data collection and analysis.
  • The techniques can be used together to provide comprehensive gene expression data.