PubMed Health⌕ Search

Biomedical subjects

Mark J Forster

Publications and source records attributed to Mark J Forster.

4 recordsLinked to original sources

Characterization of the interaction between tumor necrosis factor-stimulated gene-6 and heparin: implications for the inhibition of plasmin in extracellular matrix microenvironments.

TSG-6, the secreted product of tumor necrosis factor-stimulated gene-6, is not constitutively expressed but is up-regulated in various cell-types during inflammatory and inflammation-like processes. The mature protein is comprised largely of contiguous Link and CUB modules, the former binding several matrix components such as hyaluronan (HA) and aggrecan. Here we show that this domain can also associate with the glycosaminoglycan heparin/heparan sulfate. Docking predictions and site-directed mutagenesis demonstrate that this occurs at a site distinct from the HA binding surface and is likely to involve extensive electrostatic contacts. Despite these glycosaminoglycans binding to non-overlapping sites on the Link module, the interaction of heparin can inhibit subsequent binding to HA, and it is possible that this occurs via an allosteric mechanism. We also show that heparin can modify another property of the Link module, i.e. its potentiation of the anti-plasmin activity of inter-alpha-inhibitor (IalphaI). Experiments using the purified components of IalphaI indicate that TSG-6 only binds to the bikunin chain and that this is at a site on the Link module that overlaps the HA binding surface. The association of heparin with the Link module significantly increases the anti-plasmin activity of the TSG-6.IalphaI complex. Changes in plasmin activity have been observed previously at sites of TSG-6 expression, and the results presented here suggest that TSG-6 is likely to contribute to matrix remodeling, at least in part, through down-regulation of the protease network, especially in locations containing heparin/heparan sulfate proteoglycans. The differential effects of HA and heparin on TSG-6 function provide a mechanism for its regulation and functional partitioning in particular tissue microenvironments.

Alpha-Globulins↗

Mapping the heparin-binding site on the 13-14F3 fragment of fibronectin.

Fibronectin, a multifunctional glycoprotein of the extracellular matrix, plays a major role in cell adhesion. Various studies have revealed that the human 13th and 14th fibronectin type III domains (labeled (13)F3 and (14)F3 here) contain a heparin-binding site. Mapping of the heparin-binding sites of (13-14)F3, (13)F3, and (14)F3 by NMR chemical shift perturbation, isothermal titration calorimetry, and molecular modeling show that (13)F3 provides the dominant heparin-binding site and that the residues involved are within the first 29 amino acids of (13)F3. Predictions from earlier biochemical and modeling studies as well as the x-ray structure of (12-14)F3 were tested. It was shown that the positively charged residues that project into the solvent from the ABE face of the triple-stranded beta sheet on (13)F3 are involved in binding, but (14)F3 does not appear to contribute significantly to heparin binding.

Amino Acid Sequence↗

Characterization of the binding site on heparan sulfate for macrophage inflammatory protein 1alpha.

The CC chemokine macrophage inflammatory protein 1alpha (MIP1alpha) is a key regulator of the proliferation and differentiation of hematopoietic progenitor cells. The activity of MIP1alpha appears to be modulated by its binding to heparan sulfate (HS) proteoglycans, ubiquitous components of the mammalian cell surface and extracellular matrix. In this study we show that HS has highest affinity for the dimeric form of MIP1alpha. The predominantly dimeric BB10010 MIP1alpha interacts with an 8.3-kDa sequence in the HS polysaccharide chain, which it protects from degradation by heparinase enzymes. The major structural motif of this HS fragment appears to consist of 2 sulfate-rich S-domains separated by a short central N-acetylated region. The optimum lengths of these S-domains seem to be 12 to 14 saccharides. We propose that this binding fragment may wrap around the MIP1alpha dimer in a horseshoe shape, facilitating the interaction of the S-domains with the heparin-binding domains on each monomer. Molecular modeling suggests that these S-domains are likely to interact with basic residues Arg 17, Arg 45, and Arg 47 and possibly with Lys 44 on MIP1alpha and that the interconnecting N-acetylated region is of sufficient length to allow the 2 S-domains to bind to these sites on opposite faces of the dimer. Elucidation of the structure of the HS-binding site for MIP1alpha may enable us to devise ways of enhancing its myeloprotective or peripheral blood stem cell mobilization properties, which can be used to improve cancer chemotherapy treatments.

Binding Sites↗

Molecular modelling in structural biology.

Molecular modelling is a powerful methodology for analysing the three dimensional structure of biological macromolecules. There are many ways in which molecular modelling methods have been used to address problems in structural biology. It is not widely appreciated that modelling methods are often an integral component of structure determination by NMR spectroscopy and X-ray crystallography. In this review we consider some of the numerous ways in which modelling can be used to interpret and rationalise experimental data and in constructing hypotheses that can be tested by experiment. Genome sequencing projects are producing a vast wealth of data describing the protein coding regions of the genome under study. However, only a minority of the protein sequences thus identified will have a clear sequence homology to a known protein. In such cases valuable three-dimensional models of the protein coding sequence can be constructed by homology modelling methods. Threading methods, which used specialised schemes to relate protein sequences to a library of known structures, have been shown to be able to identify the likely protein fold even in cases where there is no clear sequence homology. The number of protein sequences that cannot be assigned to a structural class by homology or threading methods, simply because they belong to a previously unidentified protein folding class, will decrease in the future as collaborative efforts in systematic structure determination begin to develop. For this reason, modelling methods are likely to become increasingly useful in the near future. The role of the blind prediction contests, such as the Critical Assessment of techniques for protein Structure Prediction (CASP), will be briefly discussed. Methods for modelling protein-ligand and protein-protein complexes are also described and examples of their applications given.

Databases, Protein↗