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Related Concept Videos

RNA-seq03:21

RNA-seq

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 microarray-based...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Ribosome Profiling02:24

Ribosome Profiling

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 helps...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...

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Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
10:24

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Genes, behavior and next-generation RNA sequencing.

R Hitzemann1, D Bottomly, P Darakjian

  • 1Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239-3098, USA. hitzeman@ohsu.edu

Genes, Brain, and Behavior
|December 1, 2012
PubMed
Summary
This summary is machine-generated.

RNA-Seq offers a superior strategy for transcriptome analysis compared to microarrays, providing greater dynamic range and detecting more RNA types. This advanced sequencing method enhances our understanding of brain gene expression and the brain-behavior relationship.

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Area of Science:

  • Neuroscience
  • Genomics
  • Bioinformatics

Background:

  • Microarray technology has been widely used for brain-behavior studies.
  • Next-generation sequencing advances indicate RNA-Seq is becoming the preferred method for transcriptome analysis.

Purpose of the Study:

  • To review microarray use in brain-behavior research.
  • To illustrate the advantages of RNA-Seq over microarrays for transcriptome analysis.

Main Methods:

  • Comparative analysis of RNA-Seq and microarray technologies.
  • Review of existing literature and examples of RNA-Seq applications in brain gene expression studies.

Main Results:

  • RNA-Seq offers a greater dynamic range and detects coding/noncoding RNAs, alternative splicing, and allele-specific expression.
  • RNA-Seq can identify genotype information, including nonsynonymous coding single nucleotide polymorphisms.
  • RNA-Seq is superior for gene network construction compared to microarrays.

Conclusions:

  • RNA-Seq provides a more comprehensive understanding of the transcriptome, crucial for deciphering the brain-behavior relationship.
  • Despite high costs and computational challenges, RNA-Seq's ability to embrace transcriptome complexity is substantial.
  • RNA-Seq is poised to supplant microarrays for brain gene expression analysis.