Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes

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Pysyväisosoite

http://hdl.handle.net/10138/235204

Lähdeviite

Huiskonen , J T 2018 , ' Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes ' , Bioscience Reports , vol. 38 , no. 2 , 20170203 . https://doi.org/10.1042/BSR20170203

Julkaisun nimi: Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes
Tekijä: Huiskonen, Juha T.
Tekijän organisaatio: Laboratory of Structural Biology
Helsinki Institute of Life Science HiLIFE
Molecular and Integrative Biosciences Research Programme
Päiväys: 2018-04-27
Kieli: eng
Sivumäärä: 13
Kuuluu julkaisusarjaan: Bioscience Reports
ISSN: 0144-8463
DOI-tunniste: https://doi.org/10.1042/BSR20170203
URI: http://hdl.handle.net/10138/235204
Tiivistelmä: Cryogenic transmission electron microscopy (cryo-TEM) is a high-resolution biological imaging method, whereby biological samples, such as purified proteins, macromolecular complexes, viral particles, organelles and cells, are embedded in vitreous ice preserving their native structures. Due to sensitivity of biological materials to the electron beam of the microscope, only relatively low electron doses can be applied during imaging. As a result, the signal arising from the structure of interest is overpowered by noise in the images. To increase the signal-to-noise ratio, different image processing-based strategies that aim at coherent averaging of signal have been devised. In such strategies, images are generally assumed to arise from multiple identical copies of the structure. Prior to averaging, the images must be grouped according to the view of the structure they represent and images representing the same view must be simultaneously aligned relatively to each other. For computational reconstruction of the 3D structure, images must contain different views of the original structure. Structures with multiple symmetry-related substructures are advantageous in averaging approaches because each image provides multiple views of the substructures. However, the symmetry assumption may be valid for only parts of the structure, leading to incoherent averaging of the other parts. Several image processing approaches have been adapted to tackle symmetry-mismatched substructures with increasing success. Such structures are ubiquitous in nature and further computational method development is needed to understanding their biological functions.
Avainsanat: CRYO-EM STRUCTURE
CRYOELECTRON-MICROSCOPY
POLYMERASE COMPLEX
CHAPERONIN TRIC/CCT
DSRNA VIRUS
IN-SITU
PARTICLE
REVEALS
GENOME
RECONSTRUCTION
1182 Biochemistry, cell and molecular biology
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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