Characterization of the Extracellular Matrix of Normal and Diseased Tissues Using Proteomics.
Alexandra NabaOliver M T PearceAmanda Del RosarioDuanduan MaHuiming DingVinothini RajeevePedro R CutillasFrances R BalkwillRichard O HynesPublished in: Journal of proteome research (2017)
The extracellular matrix (ECM) is a complex meshwork of insoluble fibrillar proteins and signaling factors interacting together to provide architectural and instructional cues to the surrounding cells. Alterations in ECM organization or composition and excessive ECM deposition have been observed in diseases such as fibrosis, cardiovascular diseases, and cancer. We provide here optimized protocols to solubilize ECM proteins from normal or tumor tissues, digest the proteins into peptides, analyze ECM peptides by mass spectrometry, and interpret the mass spectrometric data. In addition, we present here two novel R-script-based web tools allowing rapid annotation and relative quantification of ECM proteins, peptides, and intensity/abundance in mass spectrometric data output files. We illustrate this protocol with ECMs obtained from two pairs of tissues, which differ in ECM content and cellularity: triple-negative breast cancer and adjacent mammary tissue, and omental metastasis from high-grade serous ovarian cancer and normal omentum. The complete proteomics data set generated in this study has been deposited to the public repository ProteomeXchange with the data set identifier: PXD005554.
Keyphrases
- extracellular matrix
- mass spectrometry
- high grade
- electronic health record
- gene expression
- big data
- cardiovascular disease
- healthcare
- randomized controlled trial
- low grade
- liquid chromatography
- type diabetes
- induced apoptosis
- squamous cell carcinoma
- mental health
- emergency department
- cell cycle arrest
- oxidative stress
- data analysis
- rna seq
- papillary thyroid
- machine learning
- ms ms
- cardiovascular events
- gas chromatography
- cardiovascular risk factors
- endoplasmic reticulum stress
- pi k akt