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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...

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Related Experiment Video

Updated: May 30, 2026

Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

Direct saliva transcriptome analysis.

Yu-Hsiang Lee1, Hui Zhou, Jean K Reiss

  • 1School of Dentistry and Dental Research Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.

Clinical Chemistry
|July 28, 2011
PubMed
Summary
This summary is machine-generated.

A new streamlined saliva protocol enables ambient-temperature processing for salivary transcriptomic analysis. This method maintains RNA stability and biomarker performance for at least 10 weeks, improving clinical diagnostics.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Standard salivary transcriptomic analysis requires cold temperatures and lengthy mRNA isolation, limiting clinical applications.
  • Current methods are time-consuming and not easily adaptable for point-of-care diagnostics.

Purpose of the Study:

  • To develop and evaluate a streamlined, ambient-temperature protocol for salivary RNA analysis.
  • To assess the stability and clinical utility of this new protocol for diagnostics.

Main Methods:

  • Developed Direct Saliva Transcriptome Analysis (DSTA) using cell-free saliva supernatant at ambient temperature.
  • Compared DSTA with standard procedures for 3 internal reference genes (GAPDH, ACTB, RPS9).
  • Assessed stability under long-term ambient storage and clinical utility using oral cancer biomarkers.

Main Results:

  • DSTA showed comparable mRNA expression levels to standard procedures for reference genes.
  • Reference gene mRNA remained stable for at least 10 weeks at ambient temperature.
  • Oral cancer biomarker performance was retained after 10 weeks of ambient storage using DSTA.

Conclusions:

  • The streamlined DSTA protocol offers a viable alternative for saliva transcriptomic analysis.
  • This method significantly improves saliva sample handling for clinical diagnostics and research.