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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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TE-Seq: A Transposable Element Annotation and RNA-Seq Pipeline.

Maxfield M G Kelsey1, Radha L Kalekar1, John M Sedivy1

  • 1Center on the Biology of Aging, and the Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, United States.

Biorxiv : the Preprint Server for Biology
|October 28, 2024
PubMed
Summary
This summary is machine-generated.

The TE-Seq pipeline analyzes RNA and DNA sequencing data to study transposable elements (TEs), also known as the

Keywords:
Long read DNA-SeqPolymorphic lociRNA-SeqRetrotransposable elementsTransposable elements

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Transposable elements (TEs) are increasingly recognized for their significant roles in biological processes.
  • Analyzing the mobile 'dark genome' of TEs requires specialized computational approaches.
  • Existing methods may not fully capture the complexity of TE expression and genomic contribution.

Purpose of the Study:

  • To introduce the TE-Seq pipeline for comprehensive analysis of both genes and transposable elements (TEs) in sequencing data.
  • To enable detailed examination of TE expression at individual element and clade levels.
  • To facilitate the construction of TE-complete genomes using long-read DNA sequencing data for functional characterization.

Main Methods:

  • End-to-end analysis of RNA-sequencing data using the TE-Seq pipeline.
  • Implementation of current computational methods specifically designed for transposable element analysis.
  • Integration of long-read DNA sequencing data to identify and incorporate non-reference TE loci.

Main Results:

  • The TE-Seq pipeline provides a comprehensive analysis of both gene and transposable element expression.
  • It allows for high-resolution analysis of TE expression at both individual element and TE clade levels.
  • The pipeline generates TE-complete genomes, including polymorphic TE-loci from long-read data.

Conclusions:

  • The TE-Seq pipeline offers a robust solution for studying the 'dark genome' of transposable elements.
  • It enhances the functional characterization of evolutionarily young mobile elements.
  • This approach advances the comprehensive analysis of genomic and transcriptomic data concerning TEs.