Evidence map›Paper›PMID 38036857›Full record

ArticleNature methods2024

System-wide analysis of RNA and protein subcellular localization dynamics.

Eneko Villanueva, Tom Smith, Mariavittoria Pizzinga, Mohamed Elzek, Rayner M L Queiroz, Robert F Harvey, Lisa M Breckels, Oliver M Crook, Mie Monti, Veronica Dezi and 2 more

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Subcellular localization as a driver of protein function.Nature reviews. Molecular cell biology · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Spatially regulated mRNA translation enables functional membrane protein integration in synthetic cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

12 authors.

Eneko Villanueva *Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-3585-8846
Tom Smith *Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0697-8777
Mariavittoria Pizzinga *MRC Toxicology Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0585-7578
Mohamed ElzekMRC Toxicology Unit, University of Cambridge, Cambridge, UK.
Rayner M L QueirozCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Robert F HarveyMRC Toxicology Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0023-1146
Lisa M BreckelsCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8918-7171
Oliver M CrookDepartment of Statistics, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-5669-8506
Mie MontiMRC Toxicology Unit, University of Cambridge, Cambridge, UK.
Veronica DeziMRC Toxicology Unit, University of Cambridge, Cambridge, UK.
Anne E WillisMRC Toxicology Unit, University of Cambridge, Cambridge, UK. aew80@cam.ac.uk.ORCID http://orcid.org/0000-0002-1470-8531
Kathryn S LilleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK. k.s.lilley@bioc.cam.ac.uk.ORCID http://orcid.org/0000-0003-0594-6543

Funding

Biotechnology and Biological Sciences Research Council BB/G024618/1Biotechnology and Biological Sciences Research Council BB/H024247/1Medical Research Council MC_UU_00025/7Wellcome Trust
6 · The paper itself

Abstract

Although the subcellular dynamics of RNA and proteins are key determinants of cell homeostasis, their characterization is still challenging. Here we present an integrative framework to simultaneously interrogate the dynamics of the transcriptome and proteome at subcellular resolution by combining two methods: localization of RNA (LoRNA) and a streamlined density-based localization of proteins by isotope tagging (dLOPIT) to map RNA and protein to organelles (nucleus, endoplasmic reticulum and mitochondria) and membraneless compartments (cytosol, nucleolus and cytosolic granules). Interrogating all RNA subcellular locations at once enables system-wide quantification of the proportional distribution of RNA. We obtain a cell-wide overview of localization dynamics for 31,839 transcripts and 5,314 proteins during the unfolded protein response, revealing that endoplasmic reticulum-localized transcripts are more efficiently recruited to cytosolic granules than cytosolic RNAs, and that the translation initiation factor eIF3d is key to sustaining cytoskeletal function. Overall, we provide the most comprehensive overview so far of RNA and protein subcellular localization dynamics.

Indexed as

Endoplasmic ReticulumRNAProteomeSubcellular FractionsProteomeRNA

Identifiers

PMID38036857
PMCPMC10776395

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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.