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Recent evidence has altered the understanding of the roles of the many regulatory mechanisms that occur after mRNA synthesis. Indeed, translational, post-transcriptional, and proteolytic processes can regulate protein abundance and function. The dogma – which says that mRNA concentrations are proxies to those of the corresponding proteins, assuming that transcript levels are the main determinant of protein abundance – has been partially revised.Indeed, transcript levels only partially predict protein abundance, suggesting that post-transcriptional events occur to regulate the proteins within cells1,2.
Furthermore, proteins ultimately dictate the function of the cell and therefore dictate its phenotype, which can undergo dynamic changes in response to autocrine, paracrine, and endocrine factors; blood-borne mediators; temperature; drug treatment; and disease development. Thus, an expression analysis focused on the protein level is useful to characterize the proteome and to unravel the critical changes that occur to it as part of disease pathogenesis3.
Therefore, the opportunities that proteomics present to clarify health and disease conditions are formidable, despite the existing technological challenges. The particularly promising areas of research to which proteomics can contributeinclude: the identification of altered protein expression at any level (i.e., whole cells or tissue, subcellular compartments, and biological fluids); the identification, verification, and validation of novel biomarkers useful for the diagnosis and prognosis of disease; and, hopefully, the identification of new protein targets that can be used for therapeutic purposes, as well as for the assessment of drug efficacy and toxicity4.
Capturing the complexity of the proteome represents a technological challenge. The current proteomic tools offer the opportunity to perform large-scale, high-throughput analysis for the identification, quantification, and validation of altered protein levels. In addition, the introduction of fractionation and enrichment techniques, aimed at avoiding the interference caused by the most abundant proteins, has also improved protein identification by including the least abundant proteins. Finally, proteomics has been complemented by the analysis of post-translational modifications, which progressively emerge as important modulators of protein function.
However, the sample preparation and protein recovery in the biological specimens under analysis still remain the limiting steps in the proteomic workflow and increase the potential for possible pitfalls5. Indeed,in most of the molecular biology techniques that must be optimized, the first steps are tissue homogenization and cell lysis, especially during the analysis of low-abundance proteins for which amplification methods do not exist. In addition, the chemical nature of proteins can influence their own recovery. For example, the analysis of highly hydrophobic proteins is very challenging, because they easily precipitate during isoelectric focusing, while trans-membrane proteins are almost insoluble (reviewed in Reference 5). Furthermore, the tissue composition variability creates a significant barrier to developing a universal extraction method. Finally, because almost all of the clinical specimens are of limited quantity, it is essential to enable protein preparation with maximal recovery and reproducibility from minimal sample amounts6.
This work describes an optimized protocol for protein extraction from the normal human cardiac mitral valve, which represents a very challenging sample for proteomic analysis. The normal mitral valve is a complex structure lying between the left atrium and the left ventricle of the heart (Figure 1). It plays an important role in the control of blood flow from the atrium to the ventricle, preventing backflow and ensuring the proper level of oxygen supply to the whole body, thus maintaining an adequate cardiac output. However, it is often considered to be an "inactive" tissue, with a low cellularity and few components, mainly in the extracellular matrix. This is because, in normal conditions, the resident valvular interstitial cells (VICs) present a quiescent phenotype with a low protein biosynthesis rate7.
However, it has been demonstrated that, in a pathological state, the number of VICs in the spongiosa increases and their protein synthesis is activated, together with other functional and phenotypical changes8. Therefore, it is not surprising that the minimal data available in the literature focus on the analysis of pathological mitral valves9,10, in which the increased number of activated VICs might explain the relatively high number of identified proteins.
In conclusion, the present protocol may serve to develop the understanding of the pathogenic mechanisms responsible for mitral valve diseases through the study of mitral valve protein components. Indeed, a greater understanding of the underlying pathological processes could help to improve the clinical management of valve diseases, whose current indications for intervention are largely predicated on hemodynamic considerations.