Author: Jacob W. Myerson; Priyal N. Patel; Nahal Habibi; Landis R. Walsh; Yi-Wei Lee; David C. Luther; Laura T. Ferguson; Michael H. Zaleski; Marco E. Zamora; Oscar A. Marcos-Contreras; Patrick M. Glassman; Ian Johnston; Elizabeth D. Hood; Tea Shuvaeva; Jason V. Gregory; Raisa Y. Kiseleva; Jia Nong; Kathryn M. Rubey; Colin F. Greineder; Samir Mitragotri; George S. Worthen; Vincent M. Rotello; Joerg Lahann; Vladimir R. Muzykantov; Jacob S. Brenner
Title: Supramolecular Organization Predicts Protein Nanoparticle Delivery to Neutrophils for Acute Lung Inflammation Diagnosis and Treatment Document date: 2020_4_18
ID: ezrkg0dc_44
Snippet: As an exception, DBCO(20X)-IgG liposomes were considered as a unique class of particle and the linear discriminant analysis indicated that the inflammation-specific liposomes had in vivo behavior resembling that of LDNGs or PONI-GFP nanoparticles. This analysis of the liposome biodistributions supports the classification of DBCO(20X)-IgG liposomes as NAPs. IgG-coated polystyrene nanoparticles and DBCO(10X)-IgG liposomes were part of the k-means c.....
Document: As an exception, DBCO(20X)-IgG liposomes were considered as a unique class of particle and the linear discriminant analysis indicated that the inflammation-specific liposomes had in vivo behavior resembling that of LDNGs or PONI-GFP nanoparticles. This analysis of the liposome biodistributions supports the classification of DBCO(20X)-IgG liposomes as NAPs. IgG-coated polystyrene nanoparticles and DBCO(10X)-IgG liposomes were part of the k-means cluster without inflammation specificity, but data for these two particles resided close to the Voronoi boundary distinguishing the two clusters.
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