Cited by 143Genomics and Chromatin DynamicsChromatin Remodeling and CancerNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index; none of the 22 sources its claims cite is checked for support yet.

Three-dimensional genome restructuring across timescales of activity-induced neuronal gene expression

Open access

Abstract

Neuronal activation induces rapid transcription of immediate early genes (IEGs) and longer-term chromatin remodeling around secondary response genes (SRGs). Here, we use high-resolution chromosome-conformation-capture carbon-copy sequencing (5C-seq) to elucidate the extent to which long-range chromatin loops are altered during short- and long-term changes in neural activity. We find that more than 10% of loops surrounding select IEGs, SRGs, and synaptic genes are induced de novo during cortical neuron activation. IEGs Fos and Arc connect to activity-dependent enhancers via singular short-range loops that form within 20 min after stimulation, prior to peak messenger RNA levels. By contrast, the SRG Bdnf engages in both pre-existing and activity-inducible loops that form within 1-6 h. We also show that common single-nucleotide variants that are associated with autism and schizophrenia are colocalized with distinct classes of activity-dependent, looped enhancers. Our data link architectural complexity to transcriptional kinetics and reveal the rapid timescale by which higher-order chromatin architecture reconfigures during neuronal stimulation.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Using 5C-seq across activity states and time points in mouse cortical neurons, this study shows that neuronal activation rapidly reconfigures long-range chromatin loops around immediate early genes and slower secondary response genes. It links de novo versus pre-existing loop classes to distinct transcriptional kinetics and to schizophrenia- or autism-associated noncoding variants.

Key findings

  • Within 12.2 Mb queried around *Arc*, *Bdnf*, *Fos*, *Nrxn1*, *Syt1*, and *Nlgn3*, the authors detected 215 activity-invariant, 29 activity-induced, and 9 activity-decommissioned loops; more than 10% of loops surrounding select IEGs, SRGs, and synaptic genes were induced de novo.
  • Activity-induced loops anchored by activity-induced enhancers (class 1, n = 11) connected to genes with a 24-fold activity-dependent expression increase, whereas pre-existing loops anchored by activity-induced enhancers (class 2, n = 41) connected to genes with a 1.3-fold increase.
  • *Fos* and *Arc* formed singular short-range loops with activity-dependent enhancers that peaked by 20 min after stimulation, before peak mRNA at 60 min; *Bdnf* engaged in longer class 1 loops of 840 kb and 1,700 kb and class 2 loops that formed at 60–360 min, with maximum signal at 360 min.
  • Schizophrenia-associated noncoding SNVs (n = 80, P < 5 × 10−8) preferentially colocalized with class 3 loops anchored by activity-decommissioned enhancers, while autism-associated SNVs (n = 126, P < 10−4) colocalized with class 2 loops anchored by activity-inducible enhancers.

Methods

  • Primary murine cortical neurons were cultured for 15 days in vitro and treated for 24 h with 10 μM bicuculline, 1 μM tetrodotoxin, or left untreated; acute time-course experiments used 24 h TTX followed by 0, 5, 20, 60, or 360 min of bicuculline.
  • The authors generated high-resolution 5C-seq maps across 12.2 Mb around selected genes, plus H3K27ac ChIP–seq, total RNA-seq, and reanalyzed published mouse and human Hi-C data; loops were called with 3DeFDR and Hi-C loop-calling methods, and enhancer–gene links were modeled with an adapted activity-by-contact approach.
  • Disease-variant analyses used GWAS summary statistics for schizophrenia and autism spectrum disorders, SNP matching, Fisher’s exact tests, and LD score regression.

Limitations

  • The paper states that future functional dissection with genome editing is required to test whether disease-associated variants disrupt enhancers or loop structure, and that genome-wide Hi-C under diverse activity-induction conditions is needed to estimate class effects more precisely.
  • The paper notes that published Hi-C data represent only the untreated activity state, so activity-induced class 1 loops could not be assessed genome-wide; it also calls for future human activity-dependent loop maps.
  • Evident from the text: the main architectural findings come from an in vitro mouse cortical neuron system and 5C maps limited to 12.2 Mb around selected loci, and the disease-variant results are colocalization/enrichment analyses rather than causal tests.

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Integrity signals

Registry

Crossref · 10.1038/s41593-020-0634-6

Cites

71 of 71 references verified0 citation errors · 0 not checkable

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Claims the paper makes

78 Own result · 19 Not checked yet · 19 Own interpretation · 15 Own method · 3 No basis given

Verify all 22 references — free account
  • It may state two separate claims as one. 24
  • Probably not a substantial claim. 21
38 of 38
  • The paper relies on this without support.

    H3K27ac signal correlates with enhancer and promoter activity.

    “As the histone mark H3 lysine 27 acetylation (H3K27ac) correlates with enhancer and promoter activity”
  • The paper relies on this without support.

    Activity-dependent enhancer classes identified in mouse cortical neurons correspond to functionally equivalent regulatory elements in human brain.

    “We lifted-over our activity-dependent enhancer classes to the human genome and classified 4,098 class 2 and 3,822 class 3 loops from human brain tissue”
2 of 2

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Metadata

Authors
Beagan, J. A., Pastuzyn, E. D., Fernandez, L. R., Guo, M. H., Feng, K., Titus, K. R., Chandrashekar, H., Shepherd, J. D., & Phillips-Cremins, J. E.
Affiliations
  • University of Pennsylvania (US)
  • University of Utah (US)
  • Hospital of the University of Pennsylvania (US)
Corresponding author
Shepherd, Jason D.
Venue
Nature Neuroscience
Published
2020-05-25
Volume
23
Issue
6
Pages
707-717
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W3027029189
Cited by
143
References
69
Citations by year
2026: 13 · 2025: 20 · 2024: 23 · 2023: 29 · 2022: 28 · 2021: 23 · 2020: 7
FWCI
7.06
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Heart, Lung, and Blood Institute (U01HL129998)
  • National Institute of Mental Health (DP2MH110247, R01MH112766)
  • National Institute of Neurological Disorders and Stroke (R01NS114226)
  • National Institute of Biomedical Imaging and Bioengineering (T32EB009384)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
3D genome organization, activity-dependent gene expression, immediate early genes, FOS, Arc, brain-derived neurotrophic factor, chromatin remodeling, transcriptional kinetics, single nucleotide variants, autism spectrum disorder, schizophrenia, cortical neurons
MeSH terms
Animals, Bicuculline, Cytoskeletal Proteins, Humans, Nerve Tissue Proteins, Neurons, Tetrodotoxin, Time Factors, Gene Expression, Genome, Proto-Oncogene Proteins c-fos, Brain-Derived Neurotrophic Factor, Chromatin Assembly and Disassembly, Mice

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