Quantitative analysis of denatured collagen by collagenase digestion and subsequent MALDI-TOF mass spectrometry

Cell Tissue Res. 2011 Mar;343(3):605-17. doi: 10.1007/s00441-010-1113-2. Epub 2011 Jan 29.

Abstract

Collagens are the most abundant proteins in vertebrate tissues and constitute significant moieties of the extracellular matrix (ECM). The determination of the collagen content is of relevance not only in the field of native tissue research, but also regarding the quality assessment of bioengineered tissues. Here, we describe a quantitative method to assess small amounts of collagen based on MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry (MS) subsequent to digestion of collagen with clostridial collagenase (clostridiopeptidase A) in order to obtain characteristic oligopeptides. Among the resulting peptides, Gly-Pro-Hyp, which is highly indicative of collagen, has been used to assess the amount of collagen by comparing the Gly-Pro-Hyp peak intensities with the intensities of a spiked tripeptide (Arg-Gly-Asp). The approach presented herein is both simple and convenient and allows the determination of collagen in microgram quantities. In tissue samples such as cartilage, the actual collagen content has additionally been determined for comparative purposes by nuclear magnetic resonance spectroscopy subsequent to acidic hydrolysis. Both methods give consistent data within an experimental error of ±10%. Although the differentiation of the different collagen types cannot be achieved by this approach, the overall collagen contents of tissues can be easily determined.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Collagen / chemistry*
  • Collagen / metabolism*
  • Collagenases / metabolism*
  • Magnetic Resonance Spectroscopy
  • Peptides / chemistry
  • Protein Conformation*
  • Protein Denaturation
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*

Substances

  • Peptides
  • Collagen
  • Collagenases