Evidence map›Paper›PMID 34916523›Full record

ArticleNature communications2021

The long non-coding RNA landscape of Candida yeast pathogens.

Hrant Hovhannisyan, Toni Gabaldón

Abstract read
In one paragraph

Article in Nature communications, 2021. 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. TheBiology · 2026
    Article
  2. Review
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  6. bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
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  14. A vetiver-specific terpene synthaseProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Probing RNA structural landscapes acrossFrontiers in microbiology · 2024
    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

2 authors.

Hrant HovhannisyanLife Sciences Department, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, 08034, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2627-8505
Toni GabaldónLife Sciences Department, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, 08034, Barcelona, Spain. toni.gabaldon@bsc.es.ORCID http://orcid.org/0000-0001-6436-2914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) constitute a poorly studied class of transcripts with emerging roles in key cellular processes. Despite efforts to characterize lncRNAs across a wide range of species, these molecules remain largely unexplored in most eukaryotic microbes, including yeast pathogens of the Candida clade. Here, we analyze thousands of publicly available sequencing datasets to infer and characterize the lncRNA repertoires of five major Candida pathogens: Candida albicans, Candida tropicalis, Candida parapsilosis, Candida auris and Candida glabrata. Our results indicate that genomes of these species encode hundreds of lncRNAs that show levels of evolutionary constraint intermediate between those of intergenic genomic regions and protein-coding genes. Despite their low sequence conservation across the studied species, some lncRNAs are syntenic and are enriched in shared sequence motifs. We find co-expression of lncRNAs with certain protein-coding transcripts, hinting at potential functional associations. Finally, we identify lncRNAs that are differentially expressed during infection of human epithelial cells for four of the studied species. Our comprehensive bioinformatic analyses of Candida lncRNAs pave the way for future functional characterization of these transcripts.

Indexed as

Genome, FungalGenomicsCandidaCandida aurisComputational BiologyConserved SequenceEpithelial CellsGene Expression Regulation, FungalHumansRNA, Long NoncodingSyntenyTranscriptomeRNA, Long Noncoding

Identifiers

PMID34916523
PMCPMC8677757

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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.