Evidence map›Paper›PMID 39231948›Full record

ArticleNature communications2024

Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle.

Lucia Coscujuela Tarrero, Valeria Famà, Giacomo D'Andrea, Simone Maestri, Anna de Polo, Stefano Biffo, Mattia Furlan, Mattia Pelizzola

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

8 authors.

Lucia Coscujuela Tarrero *Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.
Valeria Famà *Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.ORCID 0000-0001-8295-5721
Giacomo D'AndreaIstituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milano, Italy.
Simone MaestriCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.ORCID 0000-0002-1192-0684
Anna de PoloCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.
Stefano BiffoIstituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milano, Italy.ORCID 0000-0002-3780-1050
Mattia FurlanCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy. mattia.furlan@iit.it.ORCID 0000-0002-5460-6660
Mattia PelizzolaCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy. mattia.pelizzola@iit.it.ORCID 0000-0001-6672-9636

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 24784Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 25399Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 26611
6 · The paper itself

Abstract

The coordinated action of transcriptional and post-transcriptional machineries shapes gene expression programs at steady state and determines their concerted response to perturbations. We have developed Nanodynamo, an experimental and computational workflow for quantifying the kinetic rates of nuclear and cytoplasmic steps of the RNA life cycle. Nanodynamo is based on mathematical modelling following sequencing of native RNA from cellular fractions and polysomes. We have applied this workflow to triple-negative breast cancer cells, revealing widespread post-transcriptional RNA processing that is mutually exclusive with its co-transcriptional counterpart. We used Nanodynamo to unravel the coupling between transcription, processing, export, decay and translation machineries. We have identified a number of coupling interactions within and between the nucleus and cytoplasm that largely contribute to coordinating how cells respond to perturbations that affect gene expression programs. Nanodynamo will be instrumental in unravelling the determinants and regulatory processes involved in the coordination of gene expression responses.

Indexed as

Cell NucleusCell Line, TumorCytoplasmHumansKineticsPolyribosomesRNARNA, MessengerRNA Processing, Post-TranscriptionalTranscription, GeneticTriple Negative Breast NeoplasmsRNARNA, Messenger

Identifiers

PMID39231948
PMCPMC11375098

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.