Antigen folding improves loading efficiency and antitumor efficacy of PC7A nanoparticle vaccine.
Antigen folding improves loading efficiency and antitumor efficacy of PC7A nanoparticle vaccine.
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DOI:
10.1016/j.jconrel.2020.11.056
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发表时间:
2021-01-10
期刊:
影响因子:
--
通讯作者:
Gao J
中科院分区:
文献类型:
--
作者:
Wilhelm J;Quiñones-Pérez M;Wang J;Wang X;Basava VS;Gao J
Cancer vaccines hold great promise to produce antigen-specific T cell immunity for personalized therapy of cancer. Previously, we reported an ultra-pH-sensitive nanoparticle, PC7A, capable of priming an efficacious immune response without significant systemic toxicity. Despite the early success, the relationship between antigen properties and encapsulation efficiency for downstream immune activation remains poorly understood. In this study, we investigated a small library of melanoma antigens and the effects of several formulation methods on the efficiency of peptide loading inside PC7A nanoparticles. Results show loading efficiency is not highly dependent on the formulation methods, but instead mainly driven by the peptide antigen properties. In particular, we identified a phase transition event, namely the folding of antigenic peptides from random coils to α-helical structure, is important for antigen loading inside PC7A nanoparticles. Mutation of a peptide that abrogates the formation of helical structure resulted in poor loading efficiency. Antitumor efficacy studies in melanoma-bearing mice demonstrate the importance of peptide loading in vaccine-induced antitumor immunity. This study highlights the contribution of phase transition of peptide antigens on vaccine formulation in order to make widespread use of personalized nanoparticle vaccines feasible.
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DOI:
10.1056/nejmoa1003466
发表时间:
2010-08-19
期刊:
The New England journal of medicine
影响因子:
--
作者:
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通讯作者:
Urba WJ
影响因子:
33.5
作者:
Liu Z;Zhou C;Qin Y;Wang Z;Wang L;Wei X;Zhou Y;Li Q;Zhou H;Wang W;Fu YX;Zhu M;Liang W
通讯作者:
Liang W
DOI:
10.1038/nrc3239
发表时间:
2012-03-22
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Pardoll DM
通讯作者:
Pardoll DM
影响因子:
38.3
作者:
Luo M;Wang H;Wang Z;Cai H;Lu Z;Li Y;Du M;Huang G;Wang C;Chen X;Porembka MR;Lea J;Frankel AE;Fu YX;Chen ZJ;Gao J
通讯作者:
Gao J
影响因子:
82.9
作者:
通讯作者:
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