ReviewWiley interdisciplinary reviews. RNA2021
Control of translation by eukaryotic mRNA transcript leaders-Insights from high-throughput assays and computational modeling.
Review in Wiley interdisciplinary reviews. RNA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- NaP-TRAP: A Versatile and Accessible Workflow to Dissect Principles of Translational Regulation and mRNA Stability.Current protocols · 2026Article
- NaP-TRAP: A versatile and accessible workflow to dissect principles of translational regulation and mRNA stability.bioRxiv : the preprint server for biology · 2026Article
- Remodelled ribosomal populations synthesize a specific proteome in proliferating plant tissue during cold.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Deciphering the landscape of cis-acting sequences in natural yeast transcript leaders.Nucleic acids research · 2025Article
- Deciphering thebioRxiv : the preprint server for biology · 2024Article
- Protein translation: biological processes and therapeutic strategies for human diseases.Signal transduction and targeted therapy · 2024Review
- Tailor made: the art of therapeutic mRNA design.Nature reviews. Drug discovery · 2024Review
- Evidence for selection on SARS-CoV-2 RNA translation revealed by the evolutionary dynamics of mutations in UTRs and CDSs.RNA biology · 2022Article
- Article
- Combined nanopore and single-molecule real-time sequencing survey of human betaherpesvirus 5 transcriptome.Scientific reports · 2021Article
- How Many Messenger RNAs Can Be Translated by the START Mechanism?International journal of molecular sciences · 2020Article
- Understanding GEMIN5 Interactions: From Structural and Functional Insights to Selective Translation.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Eukaryotic gene expression is tightly regulated during translation of mRNA to protein. Mis-regulation of translation can lead to aberrant proteins which accumulate in cancers and cause neurodegenerative diseases. Foundational studies on model genes established fundamental roles for mRNA 5' transcript leader (TL) sequences in controlling ribosome recruitment, scanning, and initiation. TL cis-regulatory elements and their corresponding trans-acting factors control cap-dependent initiation under unstressed conditions. Under stress, cap-dependent initiation is suppressed, and specific mRNA structures and sequences promote translation of stress-responsive transcripts to remodel the proteome. In this review, we summarize current knowledge of TL functions in translation initiation. We focus on insights from high-throughput analyses of ribosome occupancy, mRNA structure, RNA Binding Protein occupancy, and massively parallel reporter assays. These data-driven approaches, coupled with computational analyses and modeling, have paved the way for a comprehensive understanding of TL functions. Finally, we will discuss areas of future research on the roles of mRNA sequences and structures in translation. This article is categorized under: Translation > Translation Mechanisms RNA Evolution and Genomics > Computational Analyses of RNA RNA Structure and Dynamics > Influence of RNA Structure in Biological Systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.