Atomic structure of human adenovirus by cryo-EM reveals interactions among protein networks.
Atomic structure of human adenovirus by cryo-EM reveals interactions among protein networks.
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通过冷冻电镜研究人类腺病毒的原子结构揭示蛋白质网络之间的相互作用
DOI:
10.1126/science.1187433
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发表时间:
2010-08-27
期刊:
影响因子:
--
通讯作者:
Zhou ZH
中科院分区:
文献类型:
--
作者:
Liu H;Jin L;Koh SB;Atanasov I;Schein S;Wu L;Zhou ZH
Human Adenovirus Structures Human adenoviruses may be a common cause of acute infections in humans, but they can also be used as vectors for vaccine and therapeutic gene transfer. Rational engineering of safe adenovirus vectors has been hampered by a lack of high-resolution structural information. Two papers now describe the structure of human adenovirus using complementary techniques. Reddy et al. (p. 1071; see the Perspective by Harrison) have determined the crystal structure at 3.5 angstrom resolution, while Liu et al. (p. 1038; see the Perspective by Harrison) solved the structure to 3.6 angstrom resolution by electron microscopy. Together the structures provide insights into viral assembly, stabilization, and cell entry mechanisms. High-resolution structures provide a basis for optimizing adenovirus as a vaccine and gene-therapy vector. Construction of a complex virus may involve a hierarchy of assembly elements. Here, we report the structure of the whole human adenovirus virion at 3.6 angstroms resolution by cryo–electron microscopy (cryo-EM), revealing in situ atomic models of three minor capsid proteins (IIIa, VIII, and IX), extensions of the (penton base and hexon) major capsid proteins, and interactions within three protein-protein networks. One network is mediated by protein IIIa at the vertices, within group-of-six (GOS) tiles—a penton base and its five surrounding hexons. Another is mediated by ropes (protein IX) that lash hexons together to form group-of-nine (GON) tiles and bind GONs to GONs. The third, mediated by IIIa and VIII, binds each GOS to five surrounding GONs. Optimization of adenovirus for cancer and gene therapy could target these networks.
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影响因子:
5.6
作者:
Perez-Berna, Ana J.;Marabini, Roberto;Scheres, Sjors H. W.;Menendez-Conejero, Rosa;Dmitriev, Igor P.;Curiel, David T.;Mangel, Walter F.;Flint, S. Jane;San Martin, Carmen
通讯作者:
San Martin, Carmen
影响因子:
11.4
作者:
Fabry, CMS;Rosa-Calatrava, M;Schoehn, G
通讯作者:
Schoehn, G
影响因子:
64.8
作者:
Abrescia, NGA;Cockburn, JJB;Bamford, JKH
通讯作者:
Bamford, JKH
影响因子:
5.4
作者:
Saban, Susan D.;Silvestry, Mariena;Stewart, Phoebe L.
通讯作者:
Stewart, Phoebe L.
影响因子:
4
作者:
Ostapchuk, P;Hearing, P
通讯作者:
Hearing, P