Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3223
Title: Modeling Glyco-Collagen Conjugates Using a Host Guest Strategy To Alter Phenotypic Cell Migration and in Vivo Wound Healing
Authors: Sangabathuni, Sivakoti
Murthy, Raghavendra Vasudeva
GADE, MADHURI
BAVIREDDI, HARIKRISHNA
TORASKAR, SURAJ
Sonar, Mahesh V.
GANESH, KRISHNA N.
KIKKERI, RAGHAVENDRA
Dept. of Chemistry
Keywords: Modeling Glyco-Collagen
Host Guest Strategy
Phenotypic Cell Migration
Vivo Wound Healing
Carbohydrates
Collagen
Cyclodextrin
Mouse model
Self-assembly
Wound healing
2017
Issue Date: Dec-2017
Publisher: American Chemical Society
Citation: ACS Nano, 11 (12),11969-11977.
Abstract: The constructs and study of combinatorial libraries of structurally defined homologous extracellular matrix (ECM) glycopeptides can significantly accelerate the identification of cell surface markers involved in a variety of physiological and pathological processes. Herein, we present a simple and reliable host-guest approach to design a high-throughput glyco-collagen library to modulate the primary and secondary cell line migration process. 4-Amidoadamantyl-substituted collagen peptides and ?-cyclodextrin appended with mono- or disaccharides were used to construct self-assembled glyco-collagen conjugates (GCCs), which were found to be thermally stable, with triple-helix structures and nanoneedles-like morphologies that altered cell migration processes. We also investigated the glycopeptide-s mechanisms of action, which included interactions with integrins and cell signaling kinases. Finally, we report murine wound models to demonstrate the real-time application of GCCs. As a result of our observations, we claim that the host-guest model of ECM glycopeptides offers an effective tool to expedite identification of specific glycopeptides to manipulate cell morphogenesis, cell differentiation metastatic processes, and their biomedical applications.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3223
https://doi.org/10.1021/acsnano.7b01789
ISSN: 1936-0851
1936-086X
Appears in Collections:JOURNAL ARTICLES

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