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  A transformation clustering algorithm and its application in polyribosomes structural profiling

Jiang, W., Wagner, J., Du, W., Plitzko, J., Baumeister, W., Beck, F., et al. (2022). A transformation clustering algorithm and its application in polyribosomes structural profiling. Nucleic Acids Research, gkac547. doi:10.1093/nar/gkac547.

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 Creators:
Jiang, Wenhong1, Author
Wagner, Jonathan1, Author
Du, Wenjing1, Author
Plitzko, Jürgen2, Author           
Baumeister, Wolfgang1, Author
Beck, Florian2, Author           
Guo, Qiang1, Author
Affiliations:
1external, ou_persistent22              
2Plitzko, Jürgen / Cryo-EM Technology, Max Planck Institute of Biochemistry, Max Planck Society, ou_3390616              

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Free keywords: CRYOELECTRON TOMOGRAPHY; MOLECULAR SOCIOLOGY; SECONDARY STRUCTURE; MESSENGER-RNA; ELECTRON-MICROSCOPE; RIBOSOME; TRANSLATION; ORGANIZATION; TOOLBOX; REVEALSBiochemistry & Molecular Biology;
 Abstract: Improvements in cryo-electron tomography sample preparation, electron-microscopy instrumentations, and image processing algorithms have advanced the structural analysis of macromolecules in situ. Beyond such analyses of individual macromolecules, the study of their interactions with functionally related neighbors in crowded cellular habitats, i.e. 'molecular sociology', is of fundamental importance in biology. Here we present a NEighboring Molecule TOpology Clustering (NEMO-TOC) algorithm. We optimized this algorithm for the detection and profiling of polyribosomes, which play both constitutive and regulatory roles in gene expression. Our results suggest a model where polysomes are formed by connecting multiple nonstochastic blocks, in which translation is likely synchronized.
Lay Summary Improvements in cryo-electron tomography sample preparation, electron-microscopy instrumentations, and image processing algorithms have advanced the structural analysis of macromolecules in situ. Beyond such analyses of individual macromolecules, the study of their interactions with functionally related neighbors in crowded cellular habitats, i.e. "molecular sociology", is of fundamental importance in biology. Here we present a NEighboring Molecule TOpology Clustering (NEMO-TOC) algorithm. We optimized this algorithm for the detection and profiling of polyribosomes, which play both constitutive and regulatory roles in gene expression. Our results suggest a model where polysomes are formed by connecting multiple nonstochastic blocks, in which translation is likely synchronized.

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Language(s): eng - English
 Dates: 2022-06-10
 Publication Status: Published online
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000822547900001
DOI: 10.1093/nar/gkac547
 Degree: -

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Title: Nucleic Acids Research
  Other : Nucleic Acids Res.
Source Genre: Journal
 Creator(s):
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Pages: - Volume / Issue: - Sequence Number: gkac547 Start / End Page: - Identifier: ISSN: 0301-5610
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000262810