Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Trends in Geneticsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Trends in Genetics
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
MPG.PuRe
Article . 2020
Data sources: MPG.PuRe
Trends in Genetics
Other literature type . 2020
http://dx.doi.org/10.1016/j.ti...
Article
License: Elsevier TDM
Data sources: Sygma
versions View all 5 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Genetics in Light of Transcriptional Adaptation

Authors: Kontarakis, Zacharias; Stainier, Didier Y.R.;

Genetics in Light of Transcriptional Adaptation

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.

Keywords

Gene Expression Regulation, Transcription, Genetic, RNA Stability, Animals, RNA, Messenger, Plants, Adaptation, Physiological, Models, Biological

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!