Evidence map›Paper›PMID 33128445›Full record

ArticleJournal of experimental zoology. Part B, Molecular and developmental evolution2021

System-level analyses of keystone genes required for mammalian tooth development.

Outi Hallikas, Rishi Das Roy, Mona M Christensen, Elodie Renvoisé, Ana-Marija Sulic, Jukka Jernvall

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Overcoming antifungal resistance inFrontiers in cellular and infection microbiology · 2025
    Review
  6. Review
  7. Article
  8. Vole genomics links determinate and indeterminate growth of teeth.bioRxiv : the preprint server for biology · 2024
    Article
  9. The developmental basis for scaling of mammalian tooth size.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Gene expression detection in developing mouse tissue using in situ hybridization and µCT imaging.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Developmental influence on evolutionary rates and the origin of placental mammal tooth complexity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. System-level analyses of keystone genes required for mammalian tooth development.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2021
    Article
  18. Article
  19. Mapping molar shapes on signaling pathways.PLoS computational biology · 2020
    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

6 authors at 1 institution in 1 country.

Outi HallikasInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Rishi Das RoyInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3276-7279
Mona M ChristensenInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Elodie RenvoiséInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Ana-Marija SulicInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Jukka JernvallInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6575-8486
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When a null mutation of a gene causes a complete developmental arrest, the gene is typically considered essential for life. Yet, in most cases, null mutations have more subtle effects on the phenotype. Here we used the phenotypic severity of mutations as a tool to examine system-level dynamics of gene expression. We classify genes required for the normal development of the mouse molar into different categories that range from essential to subtle modification of the phenotype. Collectively, we call these the developmental keystone genes. Transcriptome profiling using microarray and RNAseq analyses of patterning stage mouse molars show highly elevated expression levels for genes essential for the progression of tooth development, a result reminiscent of essential genes in single-cell organisms. Elevated expression levels of progression genes were also detected in developing rat molars, suggesting evolutionary conservation of this system-level dynamics. Single-cell RNAseq analyses of developing mouse molars reveal that even though the size of the expression domain, measured in the number of cells, is the main driver of organ-level expression, progression genes show high cell-level transcript abundances. Progression genes are also upregulated within their pathways, which themselves are highly expressed. In contrast, a high proportion of the genes required for normal tooth patterning are secreted ligands that are expressed in fewer cells than their receptors and intracellular components. Overall, even though expression patterns of individual genes can be highly different, conserved system-level principles of gene expression can be detected using phenotypically defined gene categories.

Indexed as

AnimalsBiological EvolutionGene Expression ProfilingGene Expression Regulation, DevelopmentalOdontogenesisSingle-Cell AnalysisToothUp-Regulationessential geneskeystone genessingle-cell RNAseqtooth developmenttranscript abundancetranscriptomes

Identifiers

PMID33128445
PMCPMC7894285
OpenAlexW3095821261

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.