No abstract

We have established that treatment of cultured human skin fibroblasts with tropoelastin or with heterogenic peptides, obtained after organo-alkaline or leukocyte elastase hydrolysis of insoluble elastin, induces a high expression of pro-collagenase-1 (pro-matrix metalloproteinase-1 (pro-MMP-1)). The identical effect was achieved after stimulation with a VGVAPG synthetic peptide, reflecting the elastin-derived domain known to bind to the 67-kDa elastin-binding protein. This clearly indicated involvement of this receptor in the described phenomenon. This notion was further reinforced by the fact that elastin peptides-dependent MMP-1 up-regulation has not been demonstrated in cultures preincubated with 1 mM lactose, which causes shedding of the elastin-binding protein and with pertussis toxin, which blocks the elastin-binding protein-dependent signaling pathway involving G protein, phospholipase C, and protein kinase C. Moreover, we demonstrated that diverse peptides maintaining GXXPG sequences can also induce similar cellular effects as a "principal" VGVAPG ligand of the elastin receptor. Results of our biophysical studies suggest that this peculiar consensus sequence stabilizes a type VIII ␤-turn in several similar, but not identical, peptides that maintain a sufficient conformation to be recognized by the elastin receptor. We have also established that GXXPG elastin-derived peptides, in addition to pro-MMP-1, cause up-regulation of pro-matrix metalloproteinase-3 (pro-stromelysin 1). Furthermore, we found that the presence of plasmin in the culture medium activated these MMP proenzymes, leading to a consequent degradation of collagen substrate. Our results may be, therefore, relevant to pathobiology of inflammation, in which elastin-derived peptides bearing the GXXPG conformation (created after leukocyte-dependent proteolysis) bind to the elastin receptor of local fibroblasts and trigger signals leading to expression and activation of MMP-1 and MMP-3, which in turn exacerbate local connective tissue damage.The extracellular matrix protein elastin is responsible for the elastic properties of tissues such as lung, skin, and large arteries (1-3). Due to its numerous cross-links and the extreme hydrophobicity of its tropoelastin chains, elastin is highly resistant to proteolysis. However, during inflammatory disorders, proteinases secreted from polymorphonuclear neutrophils, such as elastase, cathepsin G, and gelatinase B may cause significant elastolysis (4).It has been established that peptides derived from elastin or from the hydrophobic domains of tropoelastin interact with cells via a cell surface-resided 67-kDa elastin-binding protein identical to an enzymatically inactive, alternatively spliced form of ␤-galactosidase (5). The binding of elastin peptides to the elastin-binding protein (EBP) 1 has been shown to be responsible for chemotaxis to the peptides (6 -12), stimulation of cell proliferation (13-16), ions flux modifications (17, 18), vasorelaxation (19 -22), and enzymes secretion (23,24).Matrix metall...

We have developed a method that predicts both the presence and the type of beta-turns, using a straightforward approach based on propensities and multiple alignments. The propensities were calculated classically, but the way to use them for prediction was completely new: starting from a tetrapeptide sequence on which one wants to evaluate the presence of a beta-turn, the propensity for a given residue is modified by taking into account all the residues present in the multiple alignment at this position. The evaluation of a score is then done by weighting these propensities by the use of Position-specific score matrices generated by PSI-BLAST. The introduction of secondary structure information predicted by PSIPRED or SSPRO2 as well as taking into account the flanking residues around the tetrapeptide improved the accuracy greatly. This latter evaluated on a database of 426 reference proteins (previously used on other studies) by a sevenfold crossvalidation gave very good results with a Matthews Correlation Coefficient (MCC) of 0.42 and an overall prediction accuracy of 74.8%; this places our method among the best ones. A jackknife test was also done, which gave results within the same range. This shows that it is possible to reach neural networks accuracy with considerably less computional cost and complexity. Furthermore, propensities remain excellent descriptors of amino acid tendencies to belong to beta-turns, which can be useful for peptide or protein engineering and design. For beta-turn type prediction, we reached the best accuracy ever published in terms of MCC (except for the irregular type IV) in the range of 0.25-0.30 for types I, II, and I' and 0.13-0.15 for types VIII, II', and IV. To our knowledge, our method is the only one available on the Web that predicts types I' and II'. The accuracy evaluated on two larger databases of 547 and 823 proteins was not improved significantly. All of this was implemented into a Web server called COUDES (French acronym for: Chercher Ou Une Deviation Existe Surement), which is available at the following URL: http://bioserv.rpbs.jussieu.fr/Coudes/index.html within the new bioinformatics platform RPBS.

No abstract

Elastin is the macromolecular polymer of tropoelastin molecules responsible for the elastic properties of tissues. The understanding of its specific elasticity is uncertain because its structure is still unknown. Here, we report the first experimental quantitative determination of bovine elastin secondary structures as well as those of its corresponding soluble -elastin. Using circular dichroism and Fourier transform infrared and near infrared Fourier transform Raman spectroscopic data, we estimated the secondary structure contents of elastin to be ϳ10% ␣-helices, ϳ45% ␤-sheets, and ϳ45% undefined conformations. These values were very close to those we had previously determined for the free monomeric tropoelastin molecule, suggesting thus that elastin would be constituted of a closely packed assembly of globular ␤ structural class tropoelastin molecules crosslinked to form the elastic network (liquid drop model of elastin architecture). The presence of a strong hydration shell is demonstrated for elastin, and its possible contribution to elasticity is discussed.