Evidence map›Paper›PMID 41535307›Full record

ArticleNature communications2026

Simultaneous epigenomic profiling and regulatory activity measurement using e2MPRA.

Zicong Zhang, Ilias Georgakopoulos-Soares, Guillaume Bourque, Nadav Ahituv, Fumitaka Inoue

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

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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

5 · Who and what money

Authors and funding

5 authors.

Zicong ZhangInstitute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-1444-5054
Ilias Georgakopoulos-SoaresInstitute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.ORCID http://orcid.org/0000-0003-3641-1488
Guillaume BourqueInstitute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-3933-9656
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. nadav.ahituv@ucsf.edu.ORCID http://orcid.org/0000-0002-7434-8144
Fumitaka InoueInstitute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan. inoue.fumitaka.7a@kyoto-u.ac.jp.ORCID http://orcid.org/0000-0003-0657-434X

Funding

Japan Agency for Medical Research and Development (AMED) JP24gm7010002Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP24K02004Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP24K18101U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) 1R21HG010683U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) 1UM1HG009408U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) 1UM1HG011966
6 · The paper itself

Abstract

Using various biochemical assays that identify transcription factor (TF) binding and histone modifications, cis-regulatory elements (CREs) can be annotated in a genome-wide manner. However, these assays are descriptive and require functional validation. To the best of our knowledge, no technology can simultaneously analyze the regulatory function and epigenomic modifications of a specific sequence. Here, we develop an enrichment followed by epigenomic profiling massively parallel reporter assay (e2MPRA). This technique uses lentivirus to enrich for the integration of specific CREs into the genome and applies MPRA, Cut&Tag or ATAC-seq on them enabling simultaneous, high-throughput analysis of regulatory activity, protein binding, and epigenetic modification. We demonstrate that e2MPRA can dissect the epigenetic functions of TF motifs arranged within synthetic enhancers and evaluate the effects of sequence perturbation on epigenetic states. In summary, e2MPRA advances our understanding of the regulatory code, its effect on the epigenome and how its alteration leads to phenotypic effects.

Indexed as

Epigenesis, GeneticEpigenomicsEnhancer Elements, GeneticHigh-Throughput Nucleotide SequencingHistonesHumansProtein BindingTranscription FactorsHistonesTranscription Factors

Identifiers

PMID41535307
PMCPMC12913623

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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.