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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...
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...
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...
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.

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Related Experiment Video

Updated: Jun 10, 2026

Comparative RNA Structure Analysis of Nascent and Mature Transcripts in Saccharomyces cerevisiae
09:12

Comparative RNA Structure Analysis of Nascent and Mature Transcripts in Saccharomyces cerevisiae

Published on: February 27, 2026

Comprehensive comparative analysis of strand-specific RNA sequencing methods.

Joshua Z Levin1, Moran Yassour, Xian Adiconis

  • 1Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, USA. jlevin@broadinstitute.org

Nature Methods
|August 17, 2010
PubMed
Summary

Comparing RNA sequencing methods, this study found dUTP second-strand marking and Illumina RNA ligation to be leading protocols for accurate transcript discovery and expression profiling.

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Related Experiment Videos

Last Updated: Jun 10, 2026

Comparative RNA Structure Analysis of Nascent and Mature Transcripts in Saccharomyces cerevisiae
09:12

Comparative RNA Structure Analysis of Nascent and Mature Transcripts in Saccharomyces cerevisiae

Published on: February 27, 2026

AQRNA-seq for Quantifying Small RNAs
05:12

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Strand-specific RNA sequencing (RNA-seq) is crucial for transcript discovery, genome annotation, and expression profiling.
  • Multiple RNA-seq library preparation methods exist, but a consensus on the best approach is lacking.

Purpose of the Study:

  • To develop a computational pipeline for comparing RNA-seq library quality metrics.
  • To evaluate and compare seven different strand-specific RNA-seq library construction protocols.

Main Methods:

  • Development of a comprehensive computational pipeline for assessing RNA-seq library quality.
  • Comparative analysis of seven library construction protocols using the Saccharomyces cerevisiae transcriptome as a benchmark.
  • Evaluation of metrics including strand specificity, library complexity, coverage, annotation agreement, and expression profiling accuracy.

Main Results:

  • Significant variations were observed among the seven tested RNA-seq protocols in terms of strand specificity, library complexity, coverage, and accuracy.
  • The dUTP second-strand marking and Illumina RNA ligation methods were identified as the leading protocols.
  • Paired-end sequencing particularly benefits the dUTP second-strand marking method.

Conclusions:

  • The developed computational pipeline provides a benchmark for assessing RNA-seq protocols.
  • The dUTP second-strand marking and Illumina RNA ligation methods are recommended for strand-specific RNA-seq.
  • The pipeline is adaptable for evaluating future RNA-seq protocols in various organisms.