Evidence map›Paper›PMID 37466130›Full record

ReviewBriefings in bioinformatics2023

RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies.

Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article
  12. Article
  13. Review
  14. Review
  15. PTBP1 and Cancer: From RNA Regulation to Therapeutic Potential.Journal of cellular and molecular medicine · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. KCNN4 as a genomic determinant of cytosolic delivery by the attenuated cationic lytic peptide L17E.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    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

4 authors.

Jun WangBioinformatics Centre, Department of Biology, University of Copenhagen, København Ø 2100, Denmark.ORCID 0000-0002-9532-0917
Marc HorlacherComputational Health Center, Helmholtz Center, Munich, Germany.ORCID 0000-0002-7884-7135
Lixin ChengShenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medicine College of Jinan University, Shenzhen 518020, China.ORCID 0000-0002-9427-383X
Ole WintherBioinformatics Centre, Department of Biology, University of Copenhagen, København Ø 2100, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA localization is essential for regulating spatial translation, where RNAs are trafficked to their target locations via various biological mechanisms. In this review, we discuss RNA localization in the context of molecular mechanisms, experimental techniques and machine learning-based prediction tools. Three main types of molecular mechanisms that control the localization of RNA to distinct cellular compartments are reviewed, including directed transport, protection from mRNA degradation, as well as diffusion and local entrapment. Advances in experimental methods, both image and sequence based, provide substantial data resources, which allow for the design of powerful machine learning models to predict RNA localizations. We review the publicly available predictive tools to serve as a guide for users and inspire developers to build more effective prediction models. Finally, we provide an overview of multimodal learning, which may provide a new avenue for the prediction of RNA localization.

Indexed as

RNARNA TransportComputational BiologyMachine LearningRNAlocalizationmachine learningmultimodalityRNAsubcellular

Identifiers

PMID37466130
PMCPMC10516376

What OpenQuestion holds

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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.