Evidence map›Paper›PMID 40116043›Full record

ReviewRNA biology2025

Coupling mechanisms coordinating mRNA translation with stages of the mRNA lifecycle.

Valeria Famà, Lucia Coscujuela Tarrero, Roberto Albanese, Lorenzo Calviello, Stefano Biffo, Mattia Pelizzola, Mattia Furlan

Abstract readReview
In one paragraph

Review in RNA biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Valeria FamàCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.
Lucia Coscujuela TarreroCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.ORCID 0000-0001-5889-6100
Roberto AlbaneseHuman Technopole, Milan, Italy.ORCID 0009-0008-5256-1682
Lorenzo CalvielloHuman Technopole, Milan, Italy.ORCID 0000-0002-5600-0988
Stefano BiffoNational Institute of Molecular Genetics, Fondazione Romeo ed Enrica Invernizzi, INGM, Milan, Italy.ORCID 0000-0002-3780-1050
Mattia PelizzolaCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.ORCID 0000-0001-6672-9636
Mattia FurlanCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.ORCID 0000-0002-5460-6660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression involves a series of consequential processes, beginning with mRNA synthesis and culminating in translation. Traditionally studied as a linear sequence of events, recent findings challenge this perspective, revealing coupling mechanisms that coordinate key steps of gene expression, even when spatially and temporally distant. In this review, we focus on translation, the final stage of gene expression, and examine its coupling with key stages of mRNA metabolism: synthesis, processing, export, and decay. For each of these processes, we provide an overview of known instances of coupling with translation. Furthermore, we discuss the role of high-throughput technologies in uncovering these intricate interactions on a genome-wide scale. Finally, we highlight key challenges and propose future directions to advance our understanding of how coupling mechanisms orchestrate robust and adaptable gene expression programs.

Indexed as

Protein BiosynthesisRNA, MessengerAnimalsGene Expression RegulationHumansRibosomesRNA Processing, Post-TranscriptionalRNA StabilityRNA, MessengercouplingdecayexportprocessingtranscriptionTranslation

Identifiers

PMID40116043
PMCPMC11934187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.