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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.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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Related Experiment Video

Updated: May 22, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Multiple insert size paired-end sequencing for deconvolution of complex transcriptomes.

Lisa M Smith1, Lisa Hartmann, Philipp Drewe

  • 1Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.

RNA Biology
|May 23, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a modified Illumina protocol for strand-specific, paired-end (SS-PE) sequencing, enhancing transcriptomic analysis. The new method significantly improves the detection of alternative splicing events and natural antisense transcripts.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Deep sequencing of transcriptomes is crucial for analyzing RNA species, including expression levels, splicing variants, and transcriptional start/stop sites.
  • Standard Illumina protocols lack strand-specificity and multiple insert sizes, limiting comprehensive transcriptomic analysis, particularly for alternative splicing in eukaryotes.

Purpose of the Study:

  • To modify the Illumina RNA ligation protocol for strand-specific, paired-end (SS-PE) sequencing.
  • To generate parallel libraries with varying insert sizes to improve the deconvolution of alternative splicing events.
  • To characterize natural antisense transcription in C. elegans.

Main Methods:

  • Computational modeling to demonstrate the benefits of multiple insert sizes and SS-PE sequencing.
  • Modification of the Illumina RNA ligation protocol using a custom pre-adenylated 3' adaptor for SS-PE sequencing.
  • Generation of parallel libraries with differing insert sizes for transcriptomic analysis.

Main Results:

  • The modified protocol enables SS-PE sequencing, increasing transcriptomic information gained.
  • The number of annotated intron retention and exon skipping events in C. elegans increased by 127% and 121%, respectively.
  • The protocol demonstrates competitive library quality compared to established benchmarks.

Conclusions:

  • Parallel libraries with a range of insert sizes enhance transcriptomic information obtained through sequencing.
  • The developed SS-PE sequencing protocol offers improved detection of alternative splicing and natural antisense transcripts.
  • This advancement provides a more comprehensive analysis of transcriptomes, particularly in complex organisms.