کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6484279 | 1416085 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Metabolic glycan labeling and chemoselective functionalization of native biomaterials
ترجمه فارسی عنوان
برچسب زدن متابولیک گلیکان و عملکرد فیزیکی مولکولی مواد زیستی مادری
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کلمات کلیدی
ماتریکس خارج سلولی سلولزی شده، برچسب زدن متابولیک، کاربرد سازی شیمیایی، شیمی کلیک کنید
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
Decellularized native extracellular matrix (ECM) biomaterials are widely used in tissue engineering and have reached clinical application as biomesh implants. To enhance their regenerative properties and postimplantation performance, ECM biomaterials could be functionalized via immobilization of bioactive molecules. To facilitate ECM functionalization, we developed a metabolic glycan labeling approach using physiologic pathways to covalently incorporate click-reactive azide ligands into the native ECM of a wide variety of rodent tissues and organs in vivo, and into the ECM of isolated rodent and porcine lungs cultured ex vivo. The incorporated azides within the ECM were preserved after decellularization and served as chemoselective ligands for subsequent bioconjugation via click chemistry. As proof of principle, we generated alkyne-modified heparin, immobilized it onto azide-incorporated acellular lungs, and demonstrated its bioactivity by Antithrombin III immobilization and Factor Xa inhibition. The herein reported metabolic glycan labeling approach represents a novel platform technology for manufacturing click-reactive native ECM biomaterials, thereby enabling efficient and chemoselective functionalization of these materials to facilitate tissue regeneration and repair.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomaterials - Volume 182, November 2018, Pages 127-134
Journal: Biomaterials - Volume 182, November 2018, Pages 127-134
نویسندگان
Xi Ren, Daniele Evangelista-Leite, Tong Wu, Konrad T. Rajab, Philipp T. Moser, Kentaro Kitano, Konstantinos P. Economopoulos, Daniel E. Gorman, Jordan P. Bloom, Jun Jie Tan, Sarah E. Gilpin, Haiyang Zhou, Douglas J. Mathisen, Harald C. Ott,