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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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Updated: Oct 21, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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Custom long non-coding RNA capture enhances detection sensitivity in different human sample types.

Annelien Morlion1,2, Celine Everaert1,2, Justine Nuytens1,2

  • 1OncoRNALab, Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, B-9000 Ghent, Belgium.

RNA Biology
|September 2, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel long non-coding RNA (lncRNA) capture sequencing method. This approach enhances the detection of lncRNAs in complex samples, improving diagnostic and therapeutic target identification.

Keywords:
FFPERNA abundanceRNA expressionRNA sequencingbiofluidlncRNAlncRNomeprobes

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Long non-coding RNAs (lncRNAs) are crucial regulators in cellular processes.
  • lncRNAs exhibit cell- and cancer-specific expression, making them valuable diagnostic and therapeutic targets.
  • Characterizing lncRNAs in bulk transcriptome data is difficult due to their low abundance.

Purpose of the Study:

  • To develop and evaluate a custom lncRNA capture sequencing approach.
  • To improve the detection and characterization of lncRNAs in diverse biological samples.

Main Methods:

  • Designed a custom capture sequencing method utilizing 565,878 probes for 49,372 human lncRNA genes.
  • Validated the approach on various sample types, including RNA mixtures, FFPE tissues, and biofluids.

Main Results:

  • The custom lncRNA capture method significantly enhanced lncRNA detection compared to standard RNA sequencing.
  • Demonstrated improved reproducibility and higher coverage for lncRNA identification.
  • Successfully characterized lncRNAs in challenging sample types like FFPE tissues and biofluids.

Conclusions:

  • The custom lncRNA capture sequencing approach offers a powerful tool for comprehensive lncRNA analysis.
  • This method facilitates the discovery of novel diagnostic and therapeutic targets through improved lncRNA characterization.