Evidence map›Paper›PMID 42320529›Full record

ArticleG3 (Bethesda, Md.)2026

Enhancer RNA transcription near segmentation gene enhancers can be analyzed in situ using FISH.

Christine Mau, Benjamin Schmid, Ezzat El-Sherif

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

3 authors.

Christine MauDepartment of Evolutionary Developmental Genetics, Georg-August-University Göttingen, Justus-von-Liebig-Weg 11, Göttingen 37077, Lower Saxony, Germany.ORCID 0000-0002-2192-2229
Benjamin SchmidFAU Competence Centre Optical Imaging Centre Erlangen, Cauerstr. 3, Erlangen 91058, Bavaria, Germany.ORCID 0000-0002-9327-2296
Ezzat El-SherifSchool of Integrative Biological and Chemical Sciences (SIBCS), The University of Texas Rio Grande Valley, Science Building, 1201 W. University Dr., Edinburg, TX 78541, United States.

Funding

DFG EL 870/2-1DFG MA 10550/2-1German Academic Scholarship Foundation
6 · The paper itself

Abstract

Enhancer RNAs (eRNAs) are non-coding transcripts produced at enhancer regions, which appear to be involved in transcriptional regulation. Up to date, these have been primarily investigated using labor- and cost-intensive genomic techniques. However, the precise mechanisms by which eRNA transcription or eRNA transcripts themselves mediate transcriptional regulation remain unclear. Here, we present a novel experimental approach that allows us to analyze characteristics of eRNA transcription in fixed and live whole Drosophila melanogaster embryos. We employ the anterior-posterior patterning genes as a model system to investigate the dynamics of eRNA expression, utilizing an imaging-based approach. We combined high-sensitivity fluorescence in situ hybridization chain reaction with high-resolution confocal microscopy to detect eRNA and mRNA molecules. Through this experimental assay, we identified foci of elevated transcriptional activity that generate eRNA transcripts correlated with mRNA production at the same gene locus. We could show that this eRNA transcription is independent of promoter activity. Additionally, we demonstrate that insulators can influence eRNA transcription, resulting in loss of eRNA transcription. Moreover, we observe that eRNAs can originate both within classical enhancer regions and outside of them, including from foreign bacterial sequences when these are placed near enhancer sequences, underscoring the strong influence of local regulatory context on eRNA initiation. In live embryos using MS2-MCP live imaging, our analysis of insulators showed a modest reduction in mRNA burst intensity accompanied by a slight increase in burst frequency. Overall, our imaging-based approach offers a novel platform for dissecting enhancer-eRNA interactions and could be adapted for wider applications.

Indexed as

Enhancer Elements, GeneticEnhancer RNAsIn Situ Hybridization, FluorescenceTranscription, GeneticAnimalsBody PatterningDrosophila melanogasterDrosophila ProteinsEmbryo, NonmammalianGene Expression Regulation, DevelopmentalPromoter Regions, GeneticRNA, MessengerDrosophila ProteinsEnhancer RNAsRNA, Messengerchromatin insulatorsDrosophila melanogasterenhancer RNA (eRNA)FISH/HCR imagingMS2-MCP live imagingtranscriptional bursting

Identifiers

PMID42320529
PMCPMC13439931

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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.