Evidence map›Paper›PMID 32819422›Full record

ArticleGenome biology2020

Cis and trans effects differentially contribute to the evolution of promoters and enhancers.

Kaia Mattioli, Winona Oliveros, Chiara Gerhardinger, Daniel Andergassen, Philipp G Maass, John L Rinn, Marta Melé

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 73 citations in OpenAlex.

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  6. Utilising genomic association data for causal inference in anorexia nervosa.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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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

7 authors at 4 institutions in 3 countries.

Kaia MattioliDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
Winona OliverosLife Sciences Department, Barcelona Supercomputing Center, 08034, Barcelona, Catalonia, Spain.
Chiara GerhardingerDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
Daniel AndergassenDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
Philipp G MaassGenetics and Genome Biology Program, SickKids Research Institute, Toronto, ON, M5G 0A4, Canada.
John L RinnDepartment of Biochemistry, University of Colorado, BioFrontiers Institute, Boulder, CO, 80301, USA.
Marta MeléLife Sciences Department, Barcelona Supercomputing Center, 08034, Barcelona, Catalonia, Spain. marta.mele@bsc.es.ORCID 0000-0001-8874-6453
Harvard University · USBarcelona Supercomputing Center · ESUniversity of Colorado Boulder · USUniversity of Toronto · CA

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

backgroundGene expression differences between species are driven by both cis and trans effects. Whereas cis effects are caused by genetic variants located on the same DNA molecule as the target gene, trans effects are due to genetic variants that affect diffusible elements. Previous studies have mostly assessed the impact of cis and trans effects at the gene level. However, how cis and trans effects differentially impact regulatory elements such as enhancers and promoters remains poorly understood. Here, we use massively parallel reporter assays to directly measure the transcriptional outputs of thousands of individual regulatory elements in embryonic stem cells and measure cis and trans effects between human and mouse.

resultsOur approach reveals that cis effects are widespread across transcribed regulatory elements, and the strongest cis effects are associated with the disruption of motifs recognized by strong transcriptional activators. Conversely, we find that trans effects are rare but stronger in enhancers than promoters and are associated with a subset of transcription factors that are differentially expressed between human and mouse. While we find that cis-trans compensation is common within promoters, we do not see evidence of widespread cis-trans compensation at enhancers. Cis-trans compensation is inversely correlated with enhancer redundancy, suggesting that such compensation may often occur across multiple enhancers.

conclusionsOur results highlight differences in the mode of evolution between promoters and enhancers in complex mammalian genomes and indicate that studying the evolution of individual regulatory elements is pivotal to understand the tempo and mode of gene expression evolution.

Indexed as

Enhancer Elements, GeneticEvolution, MolecularGene Expression Regulation, DevelopmentalPromoter Regions, GeneticAnimalsConserved SequenceGenes, ReporterHumansMiceRegulatory Elements, TranscriptionalTranscription FactorsTranscription FactorsCis and trans effectsGene expression evolutionMassively parallel reporter assaysRegulatory element evolution

Identifiers

PMID32819422
PMCPMC7439725
OpenAlexW3080928337

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.