Evidence map›Paper›PMID 27884178›Full record

ArticleGenome biology2016

Patterns of ribosomal protein expression specify normal and malignant human cells.

Joao C Guimaraes, Mihaela Zavolan

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

140 citing papers in PubMed, 263 citations in OpenAlex.

  1. Article
  2. RiboScreenBiomedicines · 2026
    Review
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  7. The ribosomal landscape in influenza A virus infection: from molecular mechanisms to clinical relevance.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
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  17. Ribosomal protein paralogues in ribosome specialization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  18. Specialized ribosomes: integrating new insights and current challenges.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  19. Article
  20. Article

80 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 at 1 institution in 1 country.

Joao C GuimaraesComputational and Systems Biology, Biozentrum, University of Basel, 4056, Basel, Switzerland. joaoguima@gmail.com.
Mihaela ZavolanComputational and Systems Biology, Biozentrum, University of Basel, 4056, Basel, Switzerland. mihaela.zavolan@unibas.ch.
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRibosomes are highly conserved molecular machines whose core composition has traditionally been regarded as invariant. However, recent studies have reported intriguing differences in the expression of some ribosomal proteins (RPs) across tissues and highly specific effects on the translation of individual mRNAs.

resultsTo determine whether RPs are more generally linked to cell identity, we analyze the heterogeneity of RP expression in a large set of human tissues, primary cells, and tumors. We find that about a quarter of human RPs exhibit tissue-specific expression and that primary hematopoietic cells display the most complex patterns of RP expression, likely shaped by context-restricted transcriptional regulators. Strikingly, we uncover patterns of dysregulated expression of individual RPs across cancer types that arise through copy number variations and are predictive for disease progression.

conclusionsOur study reveals an unanticipated plasticity of RP expression across normal and malignant human cell types and provides a foundation for future characterization of cellular behaviors that are orchestrated by specific RPs.

Indexed as

Gene Expression RegulationGene Expression Regulation, NeoplasticTranscriptomeCluster AnalysisGene Expression ProfilingGenetic HeterogeneityHematopoiesisHumansNeoplasmsOrgan SpecificityPromoter Regions, GeneticProteomicsRibosomal ProteinsRibosomal ProteinsCancerHematopoiesisRibosomal proteinsRibosome heterogeneityTranslation

Identifiers

PMID27884178
PMCPMC5123215
OpenAlexW2549527258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.