Evidence map›Paper›PMID 30745363›Full record

ArticleRNA (New York, N.Y.)2019

Predictive models of subcellular localization of long RNAs.

Binyamin Zuckerman, Igor Ulitsky

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Intron Retention Controls Localization of lncRNAsbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. LINC01271 promotes fracture healing via regulating miR-19a-3p/PIK3CA axis.Journal of orthopaedic surgery and research · 2025
    Article
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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

2 authors.

Binyamin ZuckermanDepartment of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel.
Igor UlitskyDepartment of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0003-0555-6561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Export to the cytoplasm is a key regulatory junction for both protein-coding mRNAs and long noncoding RNAs (lncRNAs), and cytoplasmic enrichment varies dramatically both within and between those groups. We used a new computational approach and RNA-seq data from human and mouse cells to quantify the genome-wide association between cytoplasmic/nuclear ratios of both gene groups and various factors, including expression levels, splicing efficiency, gene architecture, chromatin marks, and sequence elements. Splicing efficiency emerged as the main predictive factor, explaining up to a third of the variability in localization. Combination with other features allowed predictive models that could explain up to 45% of the variance for protein-coding genes and up to 34% for lncRNAs. Factors associated with localization were similar between lncRNAs and mRNAs with some important differences. Readily accessible features can thus be used to predict RNA localization.

Indexed as

GenomeModels, GeneticRNA SplicingAnimalsBase SequenceBiological TransportCell LineCell NucleusChromatinCytoplasmExonsGene OntologyHeLa CellsHep G2 CellsHumansIntronsChromatinRNA, Long NoncodingRNA, Messengerintron retentionlong noncoding RNAsnuclear exportpost-transcriptional regulationRNA localization

Identifiers

PMID30745363
PMCPMC6467007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.