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.
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.
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
Authors: Chang Lau; Yong Kim; David Chia; Nadine Spielmann; Guido Eibl; David Elashoff; Fang Wei; Yi-Ling Lin; Aune Moro; Tristan Grogan; Samantha Chiang; Eric Feinstein; Christopher Schafer; James Farrell; David T W Wong Journal: J Biol Chem Date: 2013-07-23 Impact factor: 5.157
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