Evidence map›Paper›PMID 27174936›Full record

ArticleNucleic acids research2016

An updated human snoRNAome.

Hadi Jorjani, Stephanie Kehr, Dominik J Jedlinski, Rafal Gumienny, Jana Hertel, Peter F Stadler, Mihaela Zavolan, Andreas R Gruber

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed
15.5field-weighted citation impact, top 1% of its field
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

164 citing papers in PubMed, 253 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. SnoRNA Expression and RNA 2'-O-Methylation inbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Genes & development · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Small nucleolar RNAs: the hidden precursors of cancer ribosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  20. The zebrafish (NAR genomics and bioinformatics · 2025
    Article

104 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

8 authors at 4 institutions in 4 countries.

Hadi JorjaniComputational and Systems Biology, Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel CH-4056, Switzerland.
Stephanie KehrBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107 Leipzig, Germany.
Dominik J JedlinskiComputational and Systems Biology, Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel CH-4056, Switzerland.
Rafal GumiennyComputational and Systems Biology, Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel CH-4056, Switzerland.
Jana HertelBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107 Leipzig, Germany.
Peter F StadlerBioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, D-04107 Leipzig, Germany Max Planck Institute for Mathematics in the Sciences, D-04103 Leipzig, Germany RNomics Group, Fraunhofer Institute for Cell Therapy and Immunology, D-04103 Leipzig, Germany Department of Theoretical Chemistry, University of Vienna, A-1090 Vienna, Austria Santa Fe Institute, NM-87501Santa Fe, USA.
Mihaela ZavolanComputational and Systems Biology, Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel CH-4056, Switzerland mihaela.zavolan@unibas.ch.
Andreas R GruberComputational and Systems Biology, Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel CH-4056, Switzerland agruber@tbi.univie.ac.at.
University of Basel · CHLeipzig University · DEFraunhofer Institute for Cell Therapy and Immunology · DESIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs that guide the post-transcriptional processing of other non-coding RNAs (mostly ribosomal RNAs), but have also been implicated in processes ranging from microRNA-dependent gene silencing to alternative splicing. In order to construct an up-to-date catalog of human snoRNAs we have combined data from various databases, de novo prediction and extensive literature review. In total, we list more than 750 curated genomic loci that give rise to snoRNA and snoRNA-like genes. Utilizing small RNA-seq data from the ENCODE project, our study characterizes the plasticity of snoRNA expression identifying both constitutively as well as cell type specific expressed snoRNAs. Especially, the comparison of malignant to non-malignant tissues and cell types shows a dramatic perturbation of the snoRNA expression profile. Finally, we developed a high-throughput variant of the reverse-transcriptase-based method for identifying 2'-O-methyl modifications in RNAs termed RimSeq. Using the data from this and other high-throughput protocols together with previously reported modification sites and state-of-the-art target prediction methods we re-estimate the snoRNA target RNA interaction network. Our current results assign a reliable modification site to 83% of the canonical snoRNAs, leaving only 76 snoRNA sequences as orphan.

Indexed as

Gene Expression ProfilingRNA Processing, Post-TranscriptionalRNA, Small NucleolarTranscriptomeCluster AnalysisComputational BiologyDatabases, Nucleic AcidGene Expression RegulationHumansMolecular Sequence AnnotationNucleic Acid ConformationRNA, UntranslatedRNA, Small NucleolarRNA, Untranslated

Identifiers

PMID27174936
PMCPMC4914119
OpenAlexW2382893801

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.