Evidence map›Paper›PMID 38508188›Full record

ArticleCell reports methods2024

Epigenomic tomography for probing spatially defined chromatin state in the brain.

Zhengzhi Liu, Chengyu Deng, Zirui Zhou, Ya Xiao, Shan Jiang, Bohan Zhu, Lynette B Naler, Xiaoting Jia, Danfeng Daphne Yao, Chang Lu

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2024. 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
0.9field-weighted citation impact, top 27% of its field
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, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Sex-specific role of the 5-HTNature communications · 2025
    Article
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

10 authors at 1 institution in 1 country.

Zhengzhi LiuDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA.
Chengyu DengDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Zirui ZhouDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Ya XiaoDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Shan JiangBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA.
Bohan ZhuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Lynette B NalerDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA.
Xiaoting JiaBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA.
Danfeng Daphne YaoDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Chang LuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, VA, USA. Electronic address: changlu@vt.edu.
Virginia Tech · US

Funding

Low-input profiling of brain-region and cell-type specific epigenomic dynamics to understand gene-environment interactions in opioid addictionR01DA056187 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Julie A Blendy, Chang Lu · 2023 to 2026
$2.8M
3D multifunctional deep brain interface for seizure detection and interventionR01NS123069 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JIA, XIAOTING, SONTHEIMER, HARALD W · 2021 to 2025
$1.9M
A low-input microfluidic ChIRP-seq technology for studying endogenous lncRNA bindingR01GM141096 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LU, CHANG · 2021 to 2024
$1.1M
NIDA NIH HHS R01 DA056187NIGMS NIH HHS R01 GM141096NINDS NIH HHS R01 NS123069
6 · The paper itself

Abstract

Spatially resolved epigenomic profiling is critical for understanding biology in the mammalian brain. Single-cell spatial epigenomic assays were developed recently for this purpose, but they remain costly and labor intensive for examining brain tissues across substantial dimensions and surveying a collection of brain samples. Here, we demonstrate an approach, epigenomic tomography, that maps spatial epigenomes of mouse brain at the scale of centimeters. We individually profiled neuronal and glial fractions of mouse neocortex slices with 0.5 mm thickness. Tri-methylation of histone 3 at lysine 27 (H3K27me3) or acetylation of histone 3 at lysine 27 (H3K27ac) features across these slices were grouped into clusters based on their spatial variation patterns to form epigenomic brain maps. As a proof of principle, our approach reveals striking dynamics in the frontal cortex due to kainic-acid-induced seizure, linked with transmembrane ion transporters, exocytosis of synaptic vesicles, and secretion of neurotransmitters. Epigenomic tomography provides a powerful and cost-effective tool for characterizing brain disorders based on the spatial epigenome.

Indexed as

ChromatinNeocortexAnimalsEpigenomicsHistonesLysineMammalsMiceChromatinHistonesLysinechromatin immunoprecipitationclusteringCP: NeuroscienceCP: Systems biologyepigenomic tomographygene ontologyhistone modificationneocortexseizurespatial epigenome

Identifiers

PMID38508188
PMCPMC10985265
OpenAlexW4392951076

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.