Towards Visual Proteomics at High Resolution

被引:50
作者
Baeuerlein, Felix J. B. [1 ,2 ,3 ]
Baumeister, Wolfgang [1 ]
机构
[1] Max Planck Inst Biochem, Dept Mol Struct Biol, Klopferspitz 18, D-82152 Planegg, Germany
[2] Georg August Univ, Inst Neuropathol, Robert Koch Str 40, D-37075 Gottingen, Germany
[3] Univ Gottingen, Cluster Excellence Multiscale Bioimaging Mol Mach, Gottingen, Germany
关键词
cryo electron tomography; cryo-FIB; cryo-CLEM; super-resolution light microscopy; machine learning; BEAM-INDUCED MOTION; CORRELATIVE SUPERRESOLUTION FLUORESCENCE; CRYOELECTRON MICROSCOPY; ELECTRON-MICROSCOPY; MOLECULAR SOCIOLOGY; CRYO-FLUORESCENCE; LOCALIZATION MICROSCOPY; PHASE PLATE; TOMOGRAPHY; CELLS;
D O I
10.1016/j.jmb.2021.167187
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Traditionally, structural biologists approach the complexity of cellular proteomes in a reductionist manner. Proteomes are fractionated, their molecular components purified and studied one-by-one using the experimental methods for structure determination at their disposal. Visual proteomics aims at obtaining a holistic picture of cellular proteomes by studying them in situ, ideally in unperturbed cellular environments. The method that enables doing this at highest resolution is cryo-electron tomography. It allows to visualize cellular landscapes with molecular resolution generating maps or atlases revealing the interaction networks which underlie cellular functions in health and in disease states. Current implementations of cryo ET do not yet realize the full potential of the method in terms of resolution and interpretability. To this end, further improvements in technology and methodology are needed. This review describes the state of the art as well as measures which we expect will help overcoming current limitations. (C) 2021 Published by Elsevier Ltd.
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页数:15
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