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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 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...
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Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA
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Realizing the potential of full-length transcriptome sequencing.

Ashley Byrne1, Charles Cole2, Roger Volden2

  • 1Department of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|October 8, 2019
PubMed
Summary
This summary is machine-generated.

Long-read sequencing offers affordable transcriptome analysis for non-model organisms, overcoming short-read limitations. Further research is needed to address remaining molecular and computational challenges for broader application.

Keywords:
Oxford Nanopore TechnologiesPacific Bioscienceslong-read sequencingtranscriptome analysis

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Short-read sequencing has limitations in transcriptome analysis, especially for non-model organisms.
  • Long-read sequencing technology presents a cost-effective alternative for transcriptome annotation.
  • Unicellular eukaryotes often lack extensive transcriptome data due to reliance on large consortia.

Purpose of the Study:

  • To review the limitations of short-read sequencing in transcriptome analysis.
  • To highlight how long-read sequencing overcomes these limitations.
  • To identify and suggest solutions for current challenges in long-read sequencing for transcriptomics.

Main Methods:

  • Comparative analysis of short-read and long-read sequencing technologies.
  • Literature review of current challenges and proposed solutions in long-read transcriptomics.
  • Discussion of applications in single-cell ecology and non-model organisms.

Main Results:

  • Long-read sequencing effectively addresses limitations of short-read sequencing for transcriptome annotation.
  • Several molecular and computational challenges persist for long-read sequencing applications.
  • Potential applications are significant for under-researched organisms and single-cell studies.

Conclusions:

  • Long-read sequencing is a promising, affordable tool for transcriptome analysis of non-model organisms.
  • Overcoming current challenges will unlock the full potential of long-read sequencing in transcriptomics.
  • This technology will greatly benefit research in areas like single-cell ecology.