Evidence map›Paper›PMID 39671433›Full record

ArticlePLoS genetics2024

The cells are all-right: Regulation of the Lefty genes by separate enhancers in mouse embryonic stem cells.

Tiegh Taylor, Hongyu Vicky Zhu, Sakthi D Moorthy, Nawrah Khader, Jennifer A Mitchell

Abstract read
In one paragraph

Article in PLoS genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tiegh TaylorDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Hongyu Vicky ZhuDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.ORCID 0009-0002-7433-1681
Sakthi D MoorthyDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Nawrah KhaderDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Jennifer A MitchellDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.ORCID 0000-0002-7147-4604

Funding

Computational approaches for comparative regulatory genomics to decipher long-range gene regulationR01HG010045 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI ROY, SUSHMITA · 2018 to 2021
$1.4M
NHGRI NIH HHS R01 HG010045
6 · The paper itself

Abstract

Enhancers play a critical role in regulating precise gene expression patterns essential for development and cellular identity; however, how gene-enhancer specificity is encoded within the genome is not clearly defined. To investigate how this specificity arises within topologically associated domains (TAD), we performed allele-specific genome editing of sequences surrounding the Lefty1 and Lefty2 paralogs in mouse embryonic stem cells. The Lefty genes arose from a tandem duplication event and these genes interact with each other in chromosome conformation capture assays which place these genes within the same TAD. Despite their physical proximity, we demonstrate that these genes are primarily regulated by separate enhancer elements. Through CRISPR-Cas9 mediated deletions to remove the intervening chromatin between the Lefty genes, we reveal a distance-dependent dosage effect of the Lefty2 enhancer on Lefty1 expression. These findings indicate a role for chromatin distance in insulating gene expression domains in the Lefty locus in the absence of architectural insulation.

Indexed as

ChromatinEnhancer Elements, GeneticLeft-Right Determination FactorsMouse Embryonic Stem CellsAnimalsCRISPR-Cas SystemsGene EditingGene Expression Regulation, DevelopmentalMiceChromatinLeft-Right Determination FactorsLefty1 protein, mouse

Identifiers

PMID39671433
PMCPMC11676945

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.