Mapping Optimal Charge Density and Length of ROMP-Based PTDMs for siRNA Internalization.
Mapping Optimal Charge Density and Length of ROMP-Based PTDMs for siRNA Internalization.
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DOI:
10.1021/acs.biomac.6b00900
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发表时间:
2016-10-10
影响因子:
6.2
通讯作者:
Tew, Gregory N.
中科院分区:
文献类型:
--
作者:
Caffrey, Leah M.;deRonde, Brittany M.;Minter, Lisa M.;Tew, Gregory N.
A fundamental understanding of how polymer structure impacts internalization and delivery abilities of biologically relevant cargoes, particularly siRNA, is of critical importance to the successful design of improved delivery reagents. Herein we report the use of ring-opening metathesis polymerization (ROMP) methods to synthesize two series of guanidinium-rich protein transduction domain mimics (PTDMs): one based on an imide scaffold that contains one guanidinium moiety per repeat unit and another based on a diester scaffold that contains two guanidinium moieties per repeat unit. By varying both the degree of polymerization and, in effect, the relative number of cationic charges in each PTDM, the performances of the two ROMP backbones for siRNA internalization were evaluated and compared. Internalization of fluorescently labeled siRNA into Jurkat T cells demonstrated that FITC-siRNA internalization had a charge content dependence, with PTDMs containing approximately 40 to 60 cationic charges facilitating the most internalization. Despite this charge content dependence, the imide scaffold yielded much lower viabilities in Jurkat T cells than the corresponding diester PTDMs with similar numbers of cationic charges, suggesting that the diester scaffold is preferred for siRNA internalization and delivery applications. These developments not only improve our understanding of the structural factors necessary for optimal siRNA internalization, but will also guide the future development of optimized PTDMs for siRNA internalization and delivery.
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DOI:
10.1073/pnas.1211361109
发表时间:
2012-08-14
影响因子:
11.1
作者:
Geihe, Erika I.;Cooley, Christina B.;Wender, Paul A.
通讯作者:
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影响因子:
6.2
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Tew GN
影响因子:
7.3
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Heitz F;Morris MC;Divita G
通讯作者:
Divita G
影响因子:
2.9
作者:
deRonde BM;Tew GN
通讯作者:
Tew GN
影响因子:
15
作者:
Bang EK;Gasparini G;Molinard G;Roux A;Sakai N;Matile S
通讯作者:
Matile S