A comparative MudPIT analysis identifies different expression profiles in heart compartments.

Cardiomyopathies indistinctly affect atrial and ventricular cardiac compartments with alterations of their mechanical and/or electrical activity. To understand the main mechanisms involved in these pathological alterations, a detailed knowledge of the physiology of the healthy heart is critical. In the present work, we utilize multidimensional protein identification technology to characterize the murine left ventricle (LV), right ventricle (RV), and atria (A) proteomes, identifying thousands of distinct proteins. Moreover, using multidimensional algorithm protein map tool, relative abundances of proteins among the heart chambers were investigated. In sum, we found 16 and 55 proteins were more abundant in LV compared to RV and A, respectively; 47 and 60 proteins were more abundant in RV than LV and A, respectively; and, 81 and 74 proteins were more abundant in A than LV and RV, respectively. This detailed characterization of myocardial compartment proteome represents an important advancement in the knowledge of heart physiology, and may contribute to the identification of key features underlying the onset of cardiomyopathy.