Evidence map›Paper›PMID 39486574›Full record

ArticleJournal of molecular biology2024

Translation Complex Profile Sequencing Allows Discrimination of Leaky Scanning and Reinitiation in Upstream Open Reading Frame-controlled Translation.

Dmitri E Andreev, Jack A S Tierney, Pavel V Baranov

Abstract read
In one paragraph

Article in Journal of molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dmitri E AndreevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, RAS, 117997 Moscow, Russia; Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119992 Moscow, Russia.
Jack A S TierneySchool of Biochemistry and Cell Biology, University College Cork, Cork T12 K8AF, Ireland; SFI Centre for Research Training in Genomics Data Science, University College Cork, Cork T12 K8AF, Ireland.
Pavel V BaranovSchool of Biochemistry and Cell Biology, University College Cork, Cork T12 K8AF, Ireland. Electronic address: p.baranov@ucc.ie.

Funding

Wellcome TrustWellcome Trust Biomedical Research Partnership 210692/Z/18/
6 · The paper itself

Abstract

Upstream open reading frames (uORFs) are a class of translated regions (translons) in mRNA 5' leaders. uORFs are believed to be pervasive regulators of the translation of mammalian mRNAs. Some uORFs are highly repressive but others have little or no impact on downstream mRNA translation either due to inefficient recognition of their start codon(s) or/and due to efficient reinitiation after uORF translation. While experiments with uORF reporter constructs proved to be instrumental in the investigation of uORF-mediated mechanisms of translation control, they can have serious limitations as manipulations with uORF sequences can yield various artefacts. Here we propose a general approach for using translation complex profiling (TCP-seq) data for exploring uORF regulatory characteristics. Using several examples, we show how TCP-seq could be used to estimate both repressiveness and modes of action of individual uORFs. We demonstrate how this approach could be used to assess the mechanisms of uORF-mediated translation control in the mRNA of several human genes, including EIF5, IFRD1, MDM2, MIEF1, PPP1R15B, TAF7, and UCP2.

Indexed as

Open Reading FramesProtein BiosynthesisRNA, MessengerCodon, InitiatorGene Expression RegulationHumansPeptide Chain Initiation, TranslationalCodon, InitiatorRNA, Messengerleaky scanningreinitiationribo-seqTCP-sequORF

Identifiers

PMID39486574
PMCPMC7619398

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.