Division of Chemistry and Chemical Engineering, California Institute of Technology and Howard Hughes Medical Institute, 1200 East California Boulevard, Pasadena, CA 91125, USA.
Proc Natl Acad Sci U S A. 2011 Jun 14;108(24):9747-52. doi: 10.1073/pnas.1102962108. Epub 2011 May 31.
Glycosaminoglycan polysaccharides play critical roles in many cellular processes, ranging from viral invasion and angiogenesis to spinal cord injury. Their diverse biological activities are derived from an ability to regulate a remarkable number of proteins. However, few methods exist for the rapid identification of glycosaminoglycan-protein interactions and for studying the potential of glycosaminoglycans to assemble multimeric protein complexes. Here, we report a multidisciplinary approach that combines new carbohydrate microarray and computational modeling methodologies to elucidate glycosaminoglycan-protein interactions. The approach was validated through the study of known protein partners for heparan and chondroitin sulfate, including fibroblast growth factor 2 (FGF2) and its receptor FGFR1, the malarial protein VAR2CSA, and tumor necrosis factor-α (TNF-α). We also applied the approach to identify previously undescribed interactions between a specific sulfated epitope on chondroitin sulfate, CS-E, and the neurotrophins, a critical family of growth factors involved in the development, maintenance, and survival of the vertebrate nervous system. Our studies show for the first time that CS is capable of assembling multimeric signaling complexes and modulating neurotrophin signaling pathways. In addition, we identify a contiguous CS-E-binding site by computational modeling that suggests a potential mechanism to explain how CS may promote neurotrophin-tyrosine receptor kinase (Trk) complex formation and neurotrophin signaling. Together, our combined microarray and computational modeling methodologies provide a general, facile means to identify new glycosaminoglycan-protein-protein interactions, as well as a molecular-level understanding of those complexes.
糖胺聚糖多糖在许多细胞过程中发挥着关键作用,从病毒入侵和血管生成到脊髓损伤。它们的多种生物活性源于调节大量蛋白质的能力。然而,目前很少有方法可以快速鉴定糖胺聚糖-蛋白相互作用,并研究糖胺聚糖组装多聚体蛋白复合物的潜力。在这里,我们报告了一种结合新的碳水化合物微阵列和计算建模方法的多学科方法,以阐明糖胺聚糖-蛋白相互作用。该方法通过研究肝素和软骨素硫酸盐的已知蛋白伴侣得到了验证,包括成纤维细胞生长因子 2(FGF2)及其受体 FGFR1、疟原虫蛋白 VAR2CSA 和肿瘤坏死因子-α(TNF-α)。我们还应用该方法鉴定了软骨素硫酸盐上特定硫酸化表位 CS-E 与神经营养因子之间以前未描述的相互作用,神经营养因子是一个关键的生长因子家族,参与脊椎动物神经系统的发育、维持和存活。我们的研究首次表明 CS 能够组装多聚体信号复合物并调节神经营养因子信号通路。此外,我们通过计算建模确定了一个连续的 CS-E 结合位点,这表明了一种潜在的机制,可以解释 CS 如何促进神经营养因子-酪氨酸受体激酶(Trk)复合物的形成和神经营养因子信号。总之,我们结合的微阵列和计算建模方法为鉴定新的糖胺聚糖-蛋白-蛋白相互作用提供了一种通用、简便的方法,并为这些复合物提供了分子水平的理解。