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== Citation ==

Cheng, Jing / Liu, Tong / You, Xin / Zhang, Fa / Sui, Sen-Fang / Wan, Xiaohua / Zhang, Xinzheng. Determining protein structures in cellular lamella at pseudo-atomic resolution by GisSPA. 2023. Nature Communications, Vol. 14, No. 1, p. 1282

== Abstract ==

Cryo-electron tomography is a major tool used to study the structure of
protein complexes in situ. However, the throughput of tilt-series image data
collection is still quite low. Here, we show that GisSPA, a GPU accelerated
program, can translationally and rotationally localize the target protein complex
in cellular lamellae, as prepared with a focused ion beam, using single
cryo-electron microscopy images without tilt-series, and reconstruct the
protein complex at near-atomic resolution. GisSPA allows high-throughput
data collection without the acquisition of tilt-series images and reconstruction
of the tomogram, which is essential for high-resolution reconstruction of
asymmetric or low-symmetry protein complexes. We demonstrate the power
of GisSPA with 3.4-Å and 3.9-Å resolutions of resolving phycobilisome and
tetrameric photosystem II complex structures in cellular lamellae, respectively.
In this work, we present GisSPA as a practical tool that facilitates highresolution
in situ protein structure determination.

== Keywords ==

== Links ==

https://www.nature.com/articles/s41467-023-36175-y

== Related software ==

== Related methods ==

== Comments ==

2023Cheng GisSPA - Revision history

WikiSysop: Created page with "== Citation == Cheng, Jing / Liu, Tong / You, Xin / Zhang, Fa / Sui, Sen-Fang / Wan, Xiaohua / Zhang, Xinzheng. Determining protein structures in cellular lamella at pseudo-a..."