Analysis of plasma protein adsorption onto DC-Chol-DOPE cationic liposomes by HPLC-CHIP coupled to a Q-TOF mass spectrometer
Type
ArticleAuthors
Capriotti, Anna LauraCaracciolo, Giulio
Caruso, Giuseppe
Cavaliere, Chiara
Pozzi, Daniela
Samperi, Roberto
Laganà, Aldo
KAUST Grant Number
KUK-F1-036-32Date
2010-09-22Online Publication Date
2010-09-22Print Publication Date
2010-12Permanent link to this record
http://hdl.handle.net/10754/597561
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Plasma protein adsorption is regarded as a key factor in the in vivo organ distribution of intravenously administered drug carriers, and strongly depends on vector surface characteristics. The present study aimed to characterize the "protein corona" absorbed onto DC-Chol-DOPE cationic liposomes. This system was chosen because it is one of the most efficient and widely used non-viral formulations in vitro and a potential candidate for in vivo transfection of genetic material. After incubation of human plasma with cationic liposomes, nanoparticle-protein complex was separated from plasma by centrifugation. An integrated approach based on protein separation by one-dimensional 12% polyacrylamide gel electrophoresis followed by the automated HPLC-Chip technology coupled to a high-resolution mass spectrometer was employed for protein corona characterization. Thirty gel lanes, approximately 2 mm, were cut, digested and analyzed by HPLC-MS/MS. Fifty-eight human plasma proteins adsorbed onto DC-Chol-DOPE cationic liposomes were identified. The knowledge of the interactions of proteins with liposomes can be exploited for future controlled design of colloidal drug carriers and possibly in the controlled creation of biocompatible surfaces of other devices that come into contact with proteins in body fluids. © 2010 Springer-Verlag.Citation
Capriotti AL, Caracciolo G, Caruso G, Cavaliere C, Pozzi D, et al. (2010) Analysis of plasma protein adsorption onto DC-Chol-DOPE cationic liposomes by HPLC-CHIP coupled to a Q-TOF mass spectrometer. Analytical and Bioanalytical Chemistry 398: 2895–2903. Available: http://dx.doi.org/10.1007/s00216-010-4104-y.Sponsors
This publication is based on work supported by Award No. KUK-F1-036-32, made by King Abdullah University of Science and Technology (KAUST).A special acknowledgment is given to Agilent Technologies and Agilent staff members, for their invaluable help and technical assistance. In particular, the authors wish to thank Alberto Stocco (Agilent Technologies) for his technical assistance and his infinite helpfulness.Publisher
Springer NaturePubMed ID
20859620ae974a485f413a2113503eed53cd6c53
10.1007/s00216-010-4104-y
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