Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Experimental and Computational Methodology to the Design and Construction of Translatomic Maps of Plants

Version 1 : Received: 1 September 2023 / Approved: 4 September 2023 / Online: 4 September 2023 (07:19:57 CEST)

How to cite: Goldenkova-Pavlova, I.V.; Mustafaev, O.N.; Fridman, V.A.; Deyneko, I.V.; Tyurin, A.A. Experimental and Computational Methodology to the Design and Construction of Translatomic Maps of Plants. Preprints 2023, 2023090137. https://doi.org/10.20944/preprints202309.0137.v1 Goldenkova-Pavlova, I.V.; Mustafaev, O.N.; Fridman, V.A.; Deyneko, I.V.; Tyurin, A.A. Experimental and Computational Methodology to the Design and Construction of Translatomic Maps of Plants. Preprints 2023, 2023090137. https://doi.org/10.20944/preprints202309.0137.v1

Abstract

Regulation at the level of translation plays an essential role in modulating gene expression. Given the importance of knowledge about translationally active mRNAs as an indicator of translation efficiency, it is crucial for researchers to have at their disposal organised sources of functional information on translation - plant translatomic maps similar to transcription maps. The development of a general experimental and computational methodology for constructing translatome maps is essential to address this challenge. In this manuscript, we discuss what researchers can do to design plant translatome maps, namely, we review: (i) experimental methods to obtain translationally active mRNA fractions, considering their advantages and limitations; (ii) additional methodological approaches to obtain complete pools of translationally active mRNAs; (iii) sequencing methods to qualitatively and quantitatively assess different mRNA fractions; and (iv) multivariate analyses of sequencing results by bioinformatics methods, including metrics for assessing mRNA translational activity.

Keywords

efficiency of translation; experimental approaches; computational algorithms; translatome maps

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

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