3D structure determination of protein using TEM single particle analysis

单粒子分析 粒子(生态学) 结构生物学 电子显微镜 电子晶体学 低温电子显微 蛋白质结构 透射电子显微镜 分辨率(逻辑) 化学 计算机科学 生物系统 生物物理学 计算生物学 纳米技术 材料科学 物理 生物 人工智能 生物化学 光学 气溶胶 有机化学 生态学 衍射 电子衍射
作者
Chikara Sato,Kazuhiro Mio,Masaaki Kawata,Toshihiko Ogura
出处
期刊:Microscopy [Oxford University Press]
卷期号:63 (suppl 1): i9-i10 被引量:2
标识
DOI:10.1093/jmicro/dfu074
摘要

Proteins play important roles in cell functions such as enzymes, cell trafficking, neurotransmission, muscle contraction and hormone secretion. However, some proteins are very difficult to be crystallized and their structures are undetermined. Several techniques have been developed to elucidate the structure of macromolecules; X-ray or electron crystallography, nuclear magnetic resonance spectroscopy, and high-resolution electron microscopy. Among them, electron microscopy based single particle reconstruction (SPA) technique is a computer-aided structure determination method. This method reconstructs the 3D structure from projection images of dispersed protein. A large number of two-dimensional particle images are picked up from EM films, aligned and classified to generate 2D averages, and used to reconstruct the 3D structure by assigning the Euler angle of each 2D average. Due to the necessity of elaborate collaboration between the classical biology and the innovative information technology including parallel computing, scientists needed to break unseen barriers to get a start of this analysis. However, recent progresses in electron microscopes, mathematical algorithms, and computational abilities greatly reduced the height of barriers and expanded targets that are considered to be primarily addressable using single particle analysis. Membrane proteins are one of these targets to which the single particle analysis is successfully applied for the understanding of their 3D structures. For this purpose, we have developed various SPA methods [1-5] and applied them to different proteins [6-8].Here, we introduce reconstructed proteins, and discuss the availability of this technique. The intramembrane-cleaving proteases (I-CLiPs) that sever the transmembrane domains of their substrates have been identified in a range of organisms and play a variety of roles in biological conditions. I-CLiPs have been classified into three groups: serine-, aspartyl- and metalloprotease-type. Signal peptide peptidase (SPP) is an atypical aspartic protease that hydrolyzes peptide bonds within the transmembrane domain of substrates and is implicated in several biological and pathological functions. The structure of human SPP was determined by SPA at a resolution of 22 Å [8]. SPP forms a slender, bullet-shaped homotetramer with dimensions of 85 x 85 x 130 Å. The SPP complex has four concaves on the rhombus-like sides, connected to a large chamber inside the molecule. For the tetrameric assembly, the N-terminal region of SPP was found to be sufficient. Moreover, when N-terminal region was overexpressed, the formation of the endogenous SPP tetramer was inhibited, which suppressed the proteolytic activity within cells. From these data, the N-terminal region is considered to work as the structural scaffold.Transmembrane (TM) translocation of newly synthesized secretion proteins and membrane proteins are carried out by a Sec translocon protein complex. The polypeptide-conducting pore is formed by the SecYEG-SecA complex in bacteria, and the membrane protein SecDF is necessary for the efficient transport of proteins. However the molecular mechanism how SecDF realized efficient transport is not clear. A previous X-ray structural study of the whole protein and subdomain suggest that SecDF has at least two conformational variants, which could reflect molecular dynamics of this protein. To confirm this hypothesis, we analyzed the 3D structure of SecDF using dark field STEM electron tomography and single particle reconstruction. We determined two different whole SecDF protein structures which well explains the X-ray data. From these data, we would like to propose the possible molecular mechanism of SecDF during polypeptide translocation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
宋璐宏完成签到,获得积分10
2秒前
2秒前
3秒前
dw完成签到,获得积分10
4秒前
HOLLOW发布了新的文献求助10
4秒前
JamesPei应助winfree采纳,获得10
4秒前
还没想好发布了新的文献求助10
5秒前
5秒前
5秒前
无极微光应助酷炫邑采纳,获得20
6秒前
HOLLOW完成签到,获得积分10
8秒前
lx发布了新的文献求助10
9秒前
ddbyb完成签到,获得积分10
10秒前
ding发布了新的文献求助10
10秒前
排列组合式文章完成签到,获得积分10
10秒前
10秒前
11秒前
上官若男应助毛毛弟采纳,获得10
11秒前
13秒前
13秒前
14秒前
14秒前
偶像的黄昏应助adeno采纳,获得30
14秒前
Copyright应助yyxy采纳,获得10
14秒前
今后应助yyxy采纳,获得10
14秒前
关关完成签到,获得积分10
15秒前
ddbyb发布了新的文献求助10
15秒前
SciGPT应助lx采纳,获得10
15秒前
长情的涔完成签到 ,获得积分0
16秒前
16秒前
Semy应助硕鼠烟酒牲采纳,获得10
17秒前
bill发布了新的文献求助15
18秒前
xywang发布了新的文献求助10
18秒前
NiL发布了新的文献求助10
19秒前
mkl完成签到 ,获得积分10
20秒前
酷波er应助毛毛弟采纳,获得10
20秒前
20秒前
啦啦啦完成签到,获得积分10
22秒前
逸思宸完成签到,获得积分10
23秒前
高分求助中
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
Direct and Iterative Linear System Solvers 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6904165
求助须知:如何正确求助?哪些是违规求助? 8598034
关于积分的说明 18252592
捐赠科研通 6306635
什么是DOI,文献DOI怎么找? 3063494
关于科研通互助平台的介绍 2085762
邀请新用户注册赠送积分活动 2041272