Evidence map›Paper›PMID 37492103›Full record

ArticleCell genomics2023

Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes.

Fangming Xie, Ethan J Armand, Zizhen Yao, Hanqing Liu, Anna Bartlett, M Margarita Behrens, Yang Eric Li, Jacinta D Lucero, Chongyuan Luo, Joseph R Nery and 9 more

Abstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. EpiATLAS - a reference for human epigenomic research.bioRxiv : the preprint server for biology · 2026
    Article
  2. Distinguishing causal from tagging enhancers using single-cell multiome data.medRxiv : the preprint server for health sciences · 2026
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  10. International journal of molecular sciences · 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

19 authors.

Fangming XieDepartment of Physics, University of California San Diego, La Jolla, CA 92037, USA.
Ethan J ArmandDepartment of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA.
Zizhen YaoAllen Institute for Brain Science, Seattle, WA 98109, USA.
Hanqing LiuGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Anna BartlettGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
M Margarita BehrensComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Yang Eric LiDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Jacinta D LuceroComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Chongyuan LuoDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA.
Joseph R NeryGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Antonio Pinto-DuarteComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Olivier B PoirionDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Sebastian PreisslDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Angeline C RivkinGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA 98109, USA.
Hongkui ZengAllen Institute for Brain Science, Seattle, WA 98109, USA.
Bing RenDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Joseph R EckerGenomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Eran A MukamelDepartment of Cognitive Science, University of California San Diego, La Jolla, CA 92037, USA.

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
Molecular SignaturesU19MH114831 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CALLAWAY, EDWARD M, ECKER, JOSEPH R · 2017 to 2021
$24.6M
Epigenomic cell-type classification and regulatory element identification in the human brainU01MH121282 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BEHRENS, M MARGARITA, ECKER, JOSEPH R · 2019 to 2021
$5.4M
Single Neuron Analyzer for Multi-modal, Cross-dataset (Epi)genomic Cell Type DatasetsRF1MH120015 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MUKAMEL, ERAN A · 2019 to 2019
$1.2M
3/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric diseaseR01MH122592 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MUKAMEL, ERAN A · 2023 to 2024
$251k
NIMH NIH HHS R01 MH122592NIMH NIH HHS RF1 MH120015NIMH NIH HHS U01 MH121282
6 · The paper itself

Abstract

Single-cell sequencing could help to solve the fundamental challenge of linking millions of cell-type-specific enhancers with their target genes. However, this task is confounded by patterns of gene co-expression in much the same way that genetic correlation due to linkage disequilibrium confounds fine-mapping in genome-wide association studies (GWAS). We developed a non-parametric permutation-based procedure to establish stringent statistical criteria to control the risk of false-positive associations in enhancer-gene association studies (EGAS). We applied our procedure to large-scale transcriptome and epigenome data from multiple tissues and species, including the mouse and human brain, to predict enhancer-gene associations genome wide. We tested the functional validity of our predictions by comparing them with chromatin conformation data and causal enhancer perturbation experiments. Our study shows how controlling for gene co-expression enables robust enhancer-gene linkage using single-cell sequencing data.

Indexed as

brainchromatin accessibilityDNA methylationenhancerepigenome

Identifiers

PMID37492103
PMCPMC10363915

What OpenQuestion holds

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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.