Translation Efficiency of Synaptic Proteins and Its Coding Sequence Determinants

Shelly Mahlab, Itai Linial, Michal Linial

2013

Abstract

The synapse is an organized structure that contains synaptic vesicles, mitochondria, receptors, transporters and stored proteins. About 10% of the mRNAs that are express in mammalian neurons are delivered to synaptic sites, where they are subjected to local translation. While neuronal plasticity, learning and memory occur at the synapse, the mechanisms that regulate post-transcriptional events and local translation are mostly unknown. We hypothesized that evolutional signals that govern translational efficiency are encoded in the mRNA of synaptic proteins. Specifically, we applied a measure of tRNA adaptation index (tAI) as an indirect proxy for translation rate and showed that ionic channels and ligand-binding receptors are specified by a global low tAI values. In contrast, the genuine proteins of the synaptic vesicles exhibit significantly higher tAI values. The expression of many of these proteins actually accompanied synaptic plasticity. Furthermore, in human, the local tAI values for the initial segment of mRNA coding differs for synaptic proteins in view of the rest of the human proteome. We propose that the translation of synaptic proteins is a robust solution for compiling with the high metabolic demands of the synapse.

Paper Citation

in Harvard Style

Mahlab S., Linial I. and Linial M. (2013). Translation Efficiency of Synaptic Proteins and Its Coding Sequence Determinants . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2013) ISBN 978-989-8565-35-8, pages 151-157. DOI: 10.5220/0004238401510157

in Bibtex Style

@conference{bioinformatics13,
author={Shelly Mahlab and Itai Linial and Michal Linial},
title={Translation Efficiency of Synaptic Proteins and Its Coding Sequence Determinants},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2013)},
year={2013},
pages={151-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004238401510157},
isbn={978-989-8565-35-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2013)
TI - Translation Efficiency of Synaptic Proteins and Its Coding Sequence Determinants
SN - 978-989-8565-35-8
AU - Mahlab S.
AU - Linial I.
AU - Linial M.
PY - 2013
SP - 151
EP - 157
DO - 10.5220/0004238401510157