Evidence map›Paper›PMID 39681766›Full record

ArticleNature structural & molecular biology2025

Integrative analysis of the 3D genome and epigenome in mouse embryonic tissues.

Miao Yu, Nathan R Zemke, Ziyin Chen, Ivan Juric, Rong Hu, Ramya Raviram, Armen Abnousi, Rongxin Fang, Yanxiao Zhang, David U Gorkin and 11 more

Abstract read
In one paragraph

Article in Nature structural & molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

21 authors.

Miao Yu *State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China. miaoyu@fudan.edu.cn.ORCID http://orcid.org/0009-0003-2147-3413
Nathan R Zemke *Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
Ziyin Chen *State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-5760-4177
Ivan JuricDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Rong HuLudwig Institute for Cancer Research, La Jolla, CA, USA.
Ramya RaviramLudwig Institute for Cancer Research, La Jolla, CA, USA.
Armen AbnousiDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.ORCID http://orcid.org/0000-0003-1822-0928
Rongxin FangBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Yanxiao ZhangLudwig Institute for Cancer Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-9618-637X
David U GorkinCenter for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
Yang E LiLudwig Institute for Cancer Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6997-6018
Yuan ZhaoBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Lindsay LeeDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Shreya MishraDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Anthony D SchmittLudwig Institute for Cancer Research, La Jolla, CA, USA.
Yunjiang QiuLudwig Institute for Cancer Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0539-9714
Diane E DickelEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-5497-6824
Axel ViselEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-4130-7784
Len A PennacchioEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-8748-3732
Ming HuDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA. hum@ccf.org.ORCID http://orcid.org/0000-0003-0987-2916
Bing RenDepartment of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA. biren@health.ucsd.edu.ORCID http://orcid.org/0000-0002-5435-1127

Funding

Generation of an In Vivo Human Genome Transcriptional Enhancer DatasetR01HG003988 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Len Alexander Pennacchio · 2006 to 2026
$24.1M
San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2015 to 2019
$9.4M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
Model-based methods for single cell chromatin interactomic dataR35HG011922 · NHGRI · CLEVELAND CLINIC LERNER COM-CWRU · PI HU, MING · 2021 to 2025
$2.4M
NHGRI NIH HHS R01 HG003988NHGRI NIH HHS R35 HG011922NHGRI NIH HHS UM1 HG011585NIDDK NIH HHS U54 DK107977
6 · The paper itself

Abstract

While a rich set of putative cis-regulatory sequences involved in mouse fetal development have been annotated recently on the basis of chromatin accessibility and histone modification patterns, delineating their role in developmentally regulated gene expression continues to be challenging. To fill this gap, here we mapped chromatin contacts between gene promoters and distal sequences across the genome in seven mouse fetal tissues and across six developmental stages of the forebrain. We identified 248,620 long-range chromatin interactions centered at 14,138 protein-coding genes and characterized their tissue-to-tissue variations and developmental dynamics. Integrative analysis of the interactome with previous epigenome and transcriptome datasets from the same tissues revealed a strong correlation between the chromatin contacts and chromatin state at distal enhancers, as well as gene expression patterns at predicted target genes. We predicted target genes of 15,098 candidate enhancers and used them to annotate target genes of homologous candidate enhancers in the human genome that harbor risk variants of human diseases. We present evidence that schizophrenia and other adult disease risk variants are frequently found in fetal enhancers, providing support for the hypothesis of fetal origins of adult diseases.

Indexed as

EpigenomeGenomeAnimalsChromatinEmbryo, MammalianEnhancer Elements, GeneticGene Expression Regulation, DevelopmentalHumansMicePromoter Regions, GeneticSchizophreniaChromatin

Identifiers

PMID39681766
PMCPMC11919700

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.