Comparative evaluation of saliva collection methods for proteome analysis

Golatowski, Claas; Salazar, Manuela Gesell; Dhople, Vishnu M.; Hammer, Elke; Kocher, Thomas; Jehmlich, Nico; Völker, Uwe

doi:10.1016/j.cca.2013.01.013

Cited by 88 publications

(74 citation statements)

References 9 publications

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“…Saliva collection with the PG resulted in a higher volume of saliva (4.1 ± 0.8 ml) compared to the SV (1.9 ± 0.1 ml), which is in accordance with a previous report [22], and yielded also higher protein levels (Supplemental Table 3).…”

supporting

confidence: 92%

“…A principal component analysis showed that the inter-subject variability was by far larger (PG_P_P: 31%; PG_P_SN: 31.6%) than the technical variance of the analysis (Figure 2(c,d)) and that the technical variance for the PG_P_P (14.9%) fraction was higher in comparison to the PG_P_SN fraction (13.4%). This technical variance is in accordance with a previous study [22]. The results imply that the PG_P_SN fraction is to be favoured due to the highest protein identification of all fractions and its technical reproducibility.…”

supporting

confidence: 91%

“…Regarding the human proteome, we refer to the paper by Golatowski et al [22], which has extensively examined the human proteome data generated by SV and PG preparations. Compared to the previous study, we identified more human proteins, which is expected since we used more advanced instrumentation (QExactive plus vs. Orbitrap Velos).…”

mentioning

confidence: 99%

“…Compared to the previous study, we identified more human proteins, which is expected since we used more advanced instrumentation (QExactive plus vs. Orbitrap Velos). However, an overlap of around 76.0% was reached comparing the same fractions (Supplemental Figure 2) [22]. …”

mentioning

confidence: 99%

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Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Rabe

Salazar

Fuchs

et al. 2018

Journal of Oral Microbiology

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supporting

confidence: 92%

supporting

confidence: 91%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Rabe

Salazar

Fuchs

et al. 2018

Journal of Oral Microbiology

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“…Saliva may be collected as whole saliva or glandspecific saliva (67 ) ( Table 6). Whole-mouth saliva collection may be obtained by different techniques in a resting mode (draining/passive drooling, spitting, suction, swab) or with stimulation (with sugar, paraffin gum, acid) (71)(72)(73). Specific glandular collection is invasive, more complex, and requires skilled personnel.…”

Section: Salivamentioning

confidence: 99%

Preanalytical Variables Affecting the Integrity of Human Biospecimens in Biobanking

Ellervik

Vaught²

2015

Clinical Chemistry

139

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BACKGROUND Most errors in a clinical chemistry laboratory are due to preanalytical errors. Preanalytical variability of biospecimens can have significant effects on downstream analyses, and controlling such variables is therefore fundamental for the future use of biospecimens in personalized medicine for diagnostic or prognostic purposes. CONTENT The focus of this review is to examine the preanalytical variables that affect human biospecimen integrity in biobanking, with a special focus on blood, saliva, and urine. Cost efficiency is discussed in relation to these issues. SUMMARY The quality of a study will depend on the integrity of the biospecimens. Preanalytical preparations should be planned with consideration of the effect on downstream analyses. Currently such preanalytical variables are not routinely documented in the biospecimen research literature. Future studies using biobanked biospecimens should describe in detail the preanalytical handling of biospecimens and analyze and interpret the results with regard to the effects of these variables.

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Salivary analysis: An emerging paradigm for non‐invasive healthcare diagnosis and monitoring

Liao

Chen

2023

Interdisciplinary Medicine

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As an emerging non-invasive and easy-to-use toolkit, salivary analysis has garnered significant attention recently. By leveraging the latest discoveries in salivary biomarkers, salivary analysis has the potential to revolutionize the field of healthcare by providing valuable information for monitoring an individual's health status, diagnosing disease progression, and enabling personalized treatment. However, the transitional development of breakthrough salivary analysis remains an intriguing challenge. Only a few innovations have progressed to new transformative healthcare diagnosis and monitoring tools. In this review, we attempt to illustrate a bird's eye view of the emerging field of salivary analysis by exploring an assorted selection of seminar progress that can potentially shape the developing trajectory of the field of salivary analysis. The fundamental nature of saliva and the versatile robust uses of salivary analysis as a novel non-invasive method in various healthcare diagnostic and monitoring fields will be thoroughly discussed. To inspire next-stage development in this thriving and fruitful field, we also crystalize key findings, pinpoint challenges that remain to be addressed and present an outlook on the future transitional development of salivary analysis, invigorating future research of groundbreaking non-invasive healthcare diagnosis and monitoring strategies, and beyond.

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Comparative evaluation of saliva collection methods for proteome analysis

Cited by 88 publications

References 9 publications

Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Preanalytical Variables Affecting the Integrity of Human Biospecimens in Biobanking

Salivary analysis: An emerging paradigm for non‐invasive healthcare diagnosis and monitoring

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