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Characterization of the Extracellular Matrix of Normal and Diseased Tissues Using Proteomics
- Source :
- J Proteome Res
- Publication Year :
- 2022
- Publisher :
- University of Illinois at Chicago, 2022.
-
Abstract
- 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.
- Subjects :
- Proteomics
0301 basic medicine
Triple Negative Breast Neoplasms
Biology
Bioinformatics
Biochemistry
Mass Spectrometry
Article
Extracellular matrix
03 medical and health sciences
0302 clinical medicine
Fibrosis
medicine
Humans
Breast
Uncategorized
Ovarian Neoplasms
Extracellular Matrix Proteins
Cancer
Molecular Sequence Annotation
General Chemistry
medicine.disease
Mass spectrometric
Extracellular Matrix
Cell biology
Serous fluid
030104 developmental biology
Solubilization
030220 oncology & carcinogenesis
Omental metastasis
Female
Omentum
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- J Proteome Res
- Accession number :
- edsair.doi.dedup.....0d5b73a9117024e3cee92e1a8aa9f57c
- Full Text :
- https://doi.org/10.25417/uic.21137026