TY - JOUR
T1 - Maskiton
T2 - Interactive, web-based classification of single-particle electron microscopy images
AU - Yoshioka, Craig
AU - Lyumkis, Dmitry
AU - Carragher, Bridget
AU - Potter, Clinton S.
N1 - Funding Information:
This project was supported by a grant from National Institute of General Medical Sciences ( 9 P41 GM103310-11 ) from the National Institutes of Health.
PY - 2013/5
Y1 - 2013/5
N2 - Electron microscopy (EM) is an important tool for determining the composition, arrangement and structure of biological macromolecules. When studying structurally heterogeneous samples using EM, classification is a critical step toward achieving higher resolution and identifying biologically significant conformations. We have developed an interactive, web-based tool, called Maskiton, for creating custom masks and performing 2D classifications on aligned single-particle EM images. The Maskiton interface makes it considerably easier and faster to explore the significance of heterogeneity in single-particle datasets. Maskiton features include: resumable uploads to facilitate transfer of large datasets to the server, custom mask creation in the browser, continual progress updates, and interactive viewing of classification results. To demonstrate the value of this tool, we provide examples of its use on several experimental datasets and include analyses of the independent terminus mobility within the Ltn1 E3 ubiquitin ligase, the in vitro assembly of 30S ribosomal subunits, and classification complexity reduction within Immunoglobulin M. This work also serves as a proof-of-concept for the development of future cross-platform, interactive user interfaces for electron microscopy data processing.
AB - Electron microscopy (EM) is an important tool for determining the composition, arrangement and structure of biological macromolecules. When studying structurally heterogeneous samples using EM, classification is a critical step toward achieving higher resolution and identifying biologically significant conformations. We have developed an interactive, web-based tool, called Maskiton, for creating custom masks and performing 2D classifications on aligned single-particle EM images. The Maskiton interface makes it considerably easier and faster to explore the significance of heterogeneity in single-particle datasets. Maskiton features include: resumable uploads to facilitate transfer of large datasets to the server, custom mask creation in the browser, continual progress updates, and interactive viewing of classification results. To demonstrate the value of this tool, we provide examples of its use on several experimental datasets and include analyses of the independent terminus mobility within the Ltn1 E3 ubiquitin ligase, the in vitro assembly of 30S ribosomal subunits, and classification complexity reduction within Immunoglobulin M. This work also serves as a proof-of-concept for the development of future cross-platform, interactive user interfaces for electron microscopy data processing.
KW - 30S
KW - Electron microscopy
KW - IgM
KW - Ltn1
KW - Single-particle classification
KW - Software
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U2 - 10.1016/j.jsb.2013.02.007
DO - 10.1016/j.jsb.2013.02.007
M3 - Article
C2 - 23428431
AN - SCOPUS:84876711162
SN - 1047-8477
VL - 182
SP - 155
EP - 163
JO - Journal of Structural Biology
JF - Journal of Structural Biology
IS - 2
ER -