Insights Into Translatomics in the Nervous System.

Front Genet

Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Published: December 2020

AI Article Synopsis

  • * Analyzing transcriptomic and proteomic data is key to understanding this process, but limitations in correlating mRNA and protein levels complicate research efforts.
  • * The article highlights three main translatomics methods that help profile mRNAs linked to ribosome complexes, demonstrating their relevance in studying various neurological diseases.

Article Abstract

Most neurological disorders are caused by abnormal gene translation. Generally, dysregulation of elements involved in the translational process disrupts homeostasis in neurons and neuroglia. Better understanding of how the gene translation process occurs requires detailed analysis of transcriptomic and proteomic profile data. However, a lack of strictly direct correlations between mRNA and protein levels limits translational investigation by combining transcriptomic and proteomic profiling. The much better correlation between proteins and translated mRNAs than total mRNAs in abundance and insufficiently sensitive proteomics approach promote the requirement of advances in translatomics technology. Translatomics which capture and sequence the mRNAs associated with ribosomes has been effective in identifying translational changes by genetics or projections, ribosome stalling, local translation, and transcript isoforms in the nervous system. Here, we place emphasis on the main three translatomics methods currently used to profile mRNAs attached to ribosome-nascent chain complex (RNC-mRNA). Their prominent applications in neurological diseases including glioma, neuropathic pain, depression, fragile X syndrome (FXS), neurodegenerative disorders are outlined. The content reviewed here expands our understanding on the contributions of aberrant translation to neurological disease development.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779767PMC
http://dx.doi.org/10.3389/fgene.2020.599548DOI Listing

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