Evidence map›Paper›PMID 32928563›Full record

ReviewTrends in genetics : TIG2020

Genetics in Light of Transcriptional Adaptation.

Zacharias Kontarakis, Didier Y R Stainier

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  9. Loss ofJBMR plus · 2025
    Article
  10. Modelling Lowe syndrome and Dent-2 disease using zebrafish.Frontiers in cell and developmental biology · 2025
    Review
  11. Loss ofbioRxiv : the preprint server for biology · 2024
    Article
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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.

Zacharias KontarakisGenome Engineering and Measurement Laboratory, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland; Functional Genomics Center Zurich of ETH Zurich/University of Zurich, Zurich, Switzerland.. Electronic address: zkontarakis@ethz.ch.
Didier Y R StainierDepartment of Developmental Genetics, Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany. Electronic address: didier.stainier@mpi-bn.mpg.de.

Funding

European Research Council 694455
6 · The paper itself

Abstract

Genetics has recently benefited from the genome engineering revolution: genes can be knocked out, knocked down, or activated more easily than ever before. This range of genetic manipulations has also provided a range of outcomes, sometimes contradictory. But how much interesting biology hides within these discrepancies? Recent studies have shown that genetic compensation can be activated by some gene perturbations and not others, hinting that this phenomenon might skew our understanding of the genotype-phenotype relationship. We review the main findings regarding transcriptional adaptation, a newly discovered form of genetic compensation, and discuss their possible implications for establishing and analyzing animal and plant models to study gene function. We also touch upon how this new knowledge could benefit our understanding of disease-causing mutations and help explain cases of low penetrance or variable expressivity in human genetics.

Indexed as

Adaptation, PhysiologicalGene Expression RegulationModels, BiologicalTranscription, GeneticAnimalsPlantsRNA, MessengerRNA StabilityRNA, Messengeranimal modelsgene expressiongenetic compensationgenome engineeringtranscriptional adaptation

Identifiers

PMID32928563
PMCPMC7612536

What OpenQuestion holds

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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.