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. 2022 Mar;16(2):e2100050.
doi: 10.1002/prca.202100050. Epub 2021 Dec 1.

Descriptive proteomics of paired human vocal fold and buccal mucosa tissue

Affiliations

Descriptive proteomics of paired human vocal fold and buccal mucosa tissue

Tanja Grossmann et al. Proteomics Clin Appl. 2022 Mar.

Abstract

The vast majority of voice disorders is associated with changes of the unique, but delicate, human vocal fold mucosa. The ability to develop new effective treatment methods is significantly limited by the physical inaccessibility and the extremely rare occasions under which healthy tissue biopsies can be obtained. Therefore, the interest in laryngological research has shifted to human oral (buccal) mucosa, a similar and more easily available tissue. The harvesting process is less invasive and accompanied with faster healing and less scarring, compared to vocal fold mucosa. Here we report a descriptive proteomic comparison of paired human buccal and vocal fold mucosa by high-resolution mass spectrometry (CID-MS/MS). Our study identified a total of 1575 proteins detected within both tissues that are highly consistent in several crucial biological processes, cellular components, and molecular functions. Hence, our proteomic analysis will provide a fundamental resource for the laryngological research community.

Keywords: descriptive proteomics; human tissue; oral buccal mucosa; vocal folds.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Proteomic profiling of paired tissue samples (vocal fold, buccal mucosa) of three donors. Number of unique and robustly detected proteins across distinct samples (A). Proteomic heatmap showing proteins detected solely in BM tissue samples (B). Venn diagram depicting the number of proteins detected solely in VF tissue samples, solely in BM tissue samples, and in both tissue types (C). Proteomic heatmap showing proteins detected solely in VF tissue samples (D). Proteins are specified by gene symbols and sorted in a decreasing manner according to their mean LFQ intensity values (B, D)
FIGURE 2
FIGURE 2
Proteomic profiling of paired tissue samples (vocal fold, buccal mucosa) of three donors. Heat map with hierarchical clustering showing log2 transformed LFQ intensity values for proteins detected in both tissue types for biological replicates (A). Statistical analysis was performed using a paired t‐test (original FDR method of Benjamini and Hochberg, Q = 1%). Scatter plots showing log2 transformed LFQ intensity values for proteins detected in both tissue types for biological replicates (B, C, and D)
FIGURE 3
FIGURE 3
GO enrichment analysis data of paired tissue samples (vocal fold, buccal mucosa) of three donors. Major categories of proteins detected solely in VF tissue samples (A) or solely in BM tissue samples (B)

References

    1. Roy, N. , Merrill, R. M. , Gray, S. D. , & Smith, E. M. (2005). Voice disorders in the general population: Prevalence, risk factors, and occupational impact. The Laryngoscope, 115(11), 1988–1995. - PubMed
    1. Ramig, L. O. , & Verdolini, K. (1998). Treatment efficacy: Voice disorders. Journal of Speech, Language, and Hearing Research: JSLHR, 41(1), S101‐116. - PubMed
    1. Benninger, M. S. , Holy, C. E. , Bryson, P. C. , & Milstein, C. F. (2017). Prevalence and occupation of patients presenting with dysphonia in the united states. Journal of Voice: Official Journal of the Voice Foundation, 31(5), 594–600. - PubMed
    1. Miri, A. K. , Li, N. Y. K. , Avazmohammadi, R. , Thibeault, S. L. , Mongrain, R. , & Mongeau, L. (2015). Study of extracellular matrix in vocal fold biomechanics using a two‐phase model. Biomechanics and Modeling in Mechanobiology, 14(1), 49–57. - PMC - PubMed
    1. Walimbe, T. , Panitch, A. , & Sivasankar, P. M. (2017). A review of hyaluronic acid and hyaluronic acid‐based hydrogels for vocal fold tissue engineering. Journal of Voice: Official Journal of the Voice Foundation, 31(4), 416–423. - PMC - PubMed

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