Literature DB >> 21791578

Direct saliva transcriptome analysis.

Yu-Hsiang Lee1, Hui Zhou, Jean K Reiss, Xinmin Yan, Lei Zhang, David Chia, David T W Wong.   

Abstract

BACKGROUND: Current standard operating procedures for salivary transcriptomic analysis require low temperatures and lengthy mRNA isolation, which substantially hamper its use in the clinic. We developed a streamlined, ambient-temperature processing, stabilization, and storage protocol for clinical analysis of salivary RNA.
METHODS: The direct saliva transcriptome analysis (DSTA) used cell-free saliva supernatant instead of isolated mRNA for saliva transcriptomic detection, and all procedures, including processing, stabilization, and storage of saliva samples, were performed at ambient temperature without a stabilizing reagent. We evaluated this streamlined protocol by comparing the mRNA expression levels of 3 saliva internal reference genes [glyceraldehyde-3-phosphate dehydrogenase (GAPDH); actin, beta (ACTB); and ribosomal protein S9 (RPS9)] to levels measured with standard procedures, and detecting the variation of their expression levels under long-term ambient temperature storage. The clinical utility of DSTA was assessed by use of 7 oral cancer salivary mRNA biomarkers in a clinical study.
RESULTS: Each saliva internal reference gene mRNA showed similar expression levels when assayed by the DSTA or standard procedures, and remained stable under ambient temperature storage for at least 10 weeks without significant degradation (P = 0.918, 0.288, and 0.242 for GAPDH, ACTB, and RPS9, respectively). Compared with standard procedures, the performance characteristics of oral cancer salivary transcriptomic markers were retained as assayed by DSTA after 10 weeks of storage at ambient temperature. These results indicate that the DSTA is a suitable alternative method for saliva transcriptomic analysis and is feasible for use in clinical cancer research applications.
CONCLUSIONS: The streamlined DSTA protocol can impact the saliva-handling method and improve the standard operating procedures for clinical saliva transcriptomic diagnostics.

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Year:  2011        PMID: 21791578     DOI: 10.1373/clinchem.2010.159210

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  22 in total

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2.  Acoustofluidic Salivary Exosome Isolation: A Liquid Biopsy Compatible Approach for Human Papillomavirus-Associated Oropharyngeal Cancer Detection.

Authors:  Zeyu Wang; Feng Li; Joseph Rufo; Chuyi Chen; Shujie Yang; Liang Li; Jinxin Zhang; Jordan Cheng; Yong Kim; Mengxi Wu; Elliot Abemayor; Michael Tu; David Chia; Rachel Spruce; Nikolaos Batis; Hisham Mehanna; David T W Wong; Tony Jun Huang
Journal:  J Mol Diagn       Date:  2020-01       Impact factor: 5.568

3.  Characterization of Human Salivary Extracellular RNA by Next-generation Sequencing.

Authors:  Feng Li; Karolina Elżbieta Kaczor-Urbanowicz; Jie Sun; Blanca Majem; Hsien-Chun Lo; Yong Kim; Kikuye Koyano; Shannon Liu Rao; So Young Kang; Su Mi Kim; Kyoung-Mee Kim; Sung Kim; David Chia; David Elashoff; Tristan R Grogan; Xinshu Xiao; David T W Wong
Journal:  Clin Chem       Date:  2018-04-23       Impact factor: 8.327

4.  Role of pancreatic cancer-derived exosomes in salivary biomarker development.

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Review 5.  The Neonatal Salivary Transcriptome.

Authors:  Jill L Maron
Journal:  Cold Spring Harb Perspect Med       Date:  2015-12-18       Impact factor: 6.915

6.  The landscape of microRNA, Piwi-interacting RNA, and circular RNA in human saliva.

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Review 7.  Salivary extracellular noncoding RNA: emerging biomarkers for molecular diagnostics.

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Journal:  Clin Ther       Date:  2015-03-18       Impact factor: 3.393

Review 8.  Salivary biomarkers in cancer detection.

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9.  Development of isotope labeling LC-MS for human salivary metabolomics and application to profiling metabolome changes associated with mild cognitive impairment.

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Journal:  Anal Chem       Date:  2012-12-06       Impact factor: 6.986

10.  Salivary exRNA biomarkers to detect gingivitis and monitor disease regression.

Authors:  Karolina E Kaczor-Urbanowicz; Harsh M Trivedi; Patricia O Lima; Paulo M Camargo; William V Giannobile; Tristan R Grogan; Frederico O Gleber-Netto; Yair Whiteman; Feng Li; Hyo Jung Lee; Karan Dharia; Katri Aro; Carmen Martin Carreras-Presas; Saarah Amuthan; Manjiri Vartak; David Akin; Hiba Al-Adbullah; Kanika Bembey; Perry R Klokkevold; David Elashoff; Virginia M Barnes; Rose Richter; William DeVizio; James G Masters; David T W Wong
Journal:  J Clin Periodontol       Date:  2018-06-15       Impact factor: 8.728

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