Evidence map›Paper›PMID 33575632›Full record

ArticleNAR genomics and bioinformatics2020

Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins.

Konstantinos A Kyritsis, Christos A Ouzounis, Lefteris Angelis, Ioannis S Vizirianakis

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Ribosomal protein paralogues in ribosome specialization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  4. Review
  5. 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

4 authors at 2 institutions in 2 countries.

Konstantinos A KyritsisLaboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, GR-54124 Thessalonica, Greece.ORCID 0000-0001-8035-341X
Christos A OuzounisBiological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, GR-57001 Thessalonica, Greece.ORCID 0000-0002-0086-8657
Lefteris AngelisDepartment of Informatics, Aristotle University of Thessaloniki, GR-54124 Thessalonica, Greece.
Ioannis S VizirianakisLaboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, GR-54124 Thessalonica, Greece.
Aristotle University of Thessaloniki · GRUniversity of Nicosia · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosomal genes produce the constituents of the ribosome, one of the most conserved subcellular structures of all cells, from bacteria to eukaryotes, including animals. There are notions that some protein-coding ribosomal genes vary in their roles across species, particularly vertebrates, through the involvement of some in a number of genetic diseases. Based on extensive sequence comparisons and systematic curation, we establish a reference set for ribosomal proteins (RPs) in eleven vertebrate species and quantify their sequence conservation levels. Moreover, we correlate their coordinated gene expression patterns within up to 33 tissues and assess the exceptional role of paralogs in tissue specificity. Importantly, our analysis supported by the development and use of machine learning models strongly proposes that the variation in the observed tissue-specific gene expression of RPs is rather species-related and not due to tissue-based evolutionary processes. The data obtained suggest that RPs exhibit a complex relationship between their structure and function that broadly maintains a consistent expression landscape across tissues, while most of the variation arises from species idiosyncrasies. The latter may be due to evolutionary change and adaptation, rather than functional constraints at the tissue level throughout the vertebrate lineage.

Identifiers

PMID33575632
PMCPMC7671327
OpenAlexW3094648042

What OpenQuestion holds

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LicenceCC BY
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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.