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使用微米和纳米聚焦同步加速器光束的光栅扫描串行蛋白质晶体学。

Raster-scanning serial protein crystallography using micro- and nano-focused synchrotron beams.

作者信息

Coquelle Nicolas, Brewster Aaron S, Kapp Ulrike, Shilova Anastasya, Weinhausen Britta, Burghammer Manfred, Colletier Jacques Philippe

机构信息

Université Grenoble Alpes, IBS, 38044 Grenoble, France.

Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

出版信息

Acta Crystallogr D Biol Crystallogr. 2015 May;71(Pt 5):1184-96. doi: 10.1107/S1399004715004514. Epub 2015 Apr 25.

Abstract

High-resolution structural information was obtained from lysozyme microcrystals (20 µm in the largest dimension) using raster-scanning serial protein crystallography on micro- and nano-focused beamlines at the ESRF. Data were collected at room temperature (RT) from crystals sandwiched between two silicon nitride wafers, thereby preventing their drying, while limiting background scattering and sample consumption. In order to identify crystal hits, new multi-processing and GUI-driven Python-based pre-analysis software was developed, named NanoPeakCell, that was able to read data from a variety of crystallographic image formats. Further data processing was carried out using CrystFEL, and the resultant structures were refined to 1.7 Å resolution. The data demonstrate the feasibility of RT raster-scanning serial micro- and nano-protein crystallography at synchrotrons and validate it as an alternative approach for the collection of high-resolution structural data from micro-sized crystals. Advantages of the proposed approach are its thriftiness, its handling-free nature, the reduced amount of sample required, the adjustable hit rate, the high indexing rate and the minimization of background scattering.

摘要

使用欧洲同步辐射装置(ESRF)的微米和纳米聚焦光束线上的光栅扫描串联蛋白质晶体学,从溶菌酶微晶(最大尺寸为20微米)中获得了高分辨率结构信息。在室温(RT)下从夹在两个氮化硅晶片之间的晶体收集数据,从而防止其干燥,同时限制背景散射和样品消耗。为了识别晶体命中情况,开发了一种新的基于多处理和图形用户界面(GUI)驱动的Python预分析软件,名为NanoPeakCell,它能够读取各种晶体学图像格式的数据。使用CrystFEL进行进一步的数据处理,并将所得结构精修至1.7 Å分辨率。数据证明了在同步加速器上进行室温光栅扫描串联微米和纳米蛋白质晶体学的可行性,并验证了它作为从微米尺寸晶体收集高分辨率结构数据的替代方法。所提出方法的优点包括节俭、无需处理、所需样品量减少、命中率可调、索引率高以及背景散射最小化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364e/4427202/8aaaff110c17/d-71-01184-fig1.jpg

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