Evidence map›Paper›PMID 39521797›Full record

ArticleNature communications2024

Uncovering functional lncRNAs by scRNA-seq with ELATUS.

Enrique Goñi, Aina Maria Mas, Jovanna Gonzalez, Amaya Abad, Marta Santisteban, Puri Fortes, Maite Huarte, Mikel Hernaez

Erratum issuedAbstract 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. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Deciphering the role ofWorld journal of hepatology · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Enrique GoñiCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.ORCID 0000-0003-1792-4018
Aina Maria MasCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.ORCID 0000-0002-1167-5025
Jovanna GonzalezCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.
Amaya AbadCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.
Marta SantistebanInstitute of Health Research of Navarra (IdiSNA), Pamplona, Spain.ORCID 0000-0003-0625-686X
Puri FortesCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain.ORCID 0000-0001-7571-6220
Maite HuarteCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain. maitehuarte@unav.es.ORCID 0000-0003-3753-6493
Mikel HernaezCenter for Applied Medical Research, University of Navarra, PIO XII 55 Ave, Pamplona, Spain. mhernaez@unav.es.ORCID 0000-0003-0443-2305

Funding

Departamento de Educación, Gobierno de Navarra (Department of Education, Government of Navarra) 0011-0537-2020-000038EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 898356"la Caixa" Foundation (Caixa Foundation) LCF/PR/HR21/00176
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) play fundamental roles in cellular processes and pathologies, regulating gene expression at multiple levels. Despite being highly cell type-specific, their study at single-cell (sc) level is challenging due to their less accurate annotation and low expression compared to protein-coding genes. Here, we systematically benchmark different preprocessing methods and develop a computational framework, named ELATUS, based on the combination of the pseudoaligner Kallisto with selective functional filtering. ELATUS enhances the detection of functional lncRNAs from scRNA-seq data, detecting their expression with higher concordance than standard methods with the ATAC-seq profiles in single-cell multiome data. Interestingly, the better results of ELATUS are due to its advanced performance with an inaccurate reference annotation such as that of lncRNAs. We independently confirm the expression patterns of cell type-specific lncRNAs exclusively detected with ELATUS and unveil biologically important lncRNAs, such as AL121895.1, a previously undocumented cis-repressor lncRNA, whose role in breast cancer progression is unnoticed by traditional methodologies. Our results emphasize the necessity for an alternative scRNA-seq workflow tailored to lncRNAs that sheds light on the multifaceted roles of lncRNAs.

Indexed as

RNA, Long NoncodingSingle-Cell AnalysisComputational BiologyGene Expression ProfilingHumansRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression AnalysisRNA, Long Noncoding

Identifiers

PMID39521797
PMCPMC11550465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.