An In-solution Ultrasonication-assisted Digestion Method for Improved Extracellular Matrix Proteome Coverage

Epithelial cell behavior is coordinated by the composition of the surrounding extracellular matrix (ECM); thus ECM protein identification is critical for understanding normal biology and disease states. Proteomic analyses of ECM proteins have been hindered by the insoluble and digestion-resistant nature of ECM. Here we explore the utility of combining rapid ultrasonication- and surfactant-assisted digestion for the detailed proteomics analysis of ECM samples. When compared with traditional overnight digestion, this optimized method dramatically improved the sequence coverage for collagen I, revealed the presence of hundreds of previously unidentified proteins in Matrigel, and identified a protein profile for ECM isolated from rat mammary glands that was substantially different from that found in Matrigel. In a three-dimensional culture assay to investigate epithelial cell-ECM interactions, mammary epithelial cells were found to undergo extensive branching morphogenesis when plated with mammary gland-derived matrix in comparison with Matrigel. Cumulatively these data highlight the tissue-specific nature of ECM composition and function and underscore the need for optimized techniques, such as those described here, for the proteomics characterization of ECM samples.Extracellular matrix (ECM)¹ is a critical component of the tissue microenvironment. ECM plays a pivotal role in embryonic stem cell development and differentiation (1, 2) as well as many physiological (3) and pathological processes, including cancer progression (4, 5). Cell regulation by ECM has been studied with high frequency in recent years (7, 8). However, our ability to globally characterize ECM composition both in vitro and in vivo has been severely limited because of several unique attributes of ECM proteins such as high molecular weight glycans and the presence of covalent protein cross-links (6, 9, 10). Traditional proteomics approaches have proven to be ineffective for the identification of ECM proteins as demonstrated by the fact that collagens, despite being the most abundant protein in mammals, are significantly underrepresented in tissue-based proteomics data sets.Ultrasonication has long been used for the digestion of bioorganic materials to allow for maximal and reproducible extraction and hence the accurate identification of small molecule and inorganic analytes (11). More recently, Capelo et al. (12) have used ultrasonic energy to catalyze tryptic digestion of proteins for subsequent mass spectrometry-based identification. Here we sought to determine whether this method could be optimized to prepare ECM samples for mass spectrometry-based analysis. For method development, we used rat tail collagen as a representative ECM protein for which current proteomics approaches have proven relatively unsuccessful. Type I collagen is defined as a right-handed triple helix heterotrimer comprising two identical α1 chains and one α2 chain that form a fibrillar network (6). The physical properties of the triple helical structure render the protein resistant to proteasch as trypsin (9). In this work, we focused our efforts on developing a digestion approach that improves our ability to perform proteomics analysis on a type I collagen preparation and then used this method to identify the protein composition of EHS murine chondrosarcoma matrix (10), herein referred to as Matrigel, and a matrix preparation from rat mammary tissue.In this study, we developed a digestion approach suitable for a two-dimensional liquid chromatography-tandem mass spectrometry-based analysis of ECM proteins. Our digestion approach involves three cycles of ultrasonication for rapid initial trypsin digestion followed by overnight digestion using an acid-labile surfactant. This approach resulted in significant improvement in collagen peptide identification and the identification of numerous ECM proteins previously uncharacterized in Matrigel and in mammary tissue. The application of our ECM-optimized ultrasonic assisted trypsin digestion method is anticipated to significantly advance the identification of tissue- and disease state-specific ECM proteins.