Single‐Cell Transcriptome Meta‐Analysis Reveals Epigenomic and Chromatin Dysregulation in Developing Neurons Derived From Human <scp>ESCs</scp> With 1q21.1 <scp>CNVs</scp>

Recent efforts to construct disease-specific multimodal omics databases at single-cell resolution, along with advances in reconstructive technologies such as brain organoids, have opened up opportunities to elucidate the molecular basis of complex human neuropsychiatric diseases. In this study, we performed a meta-analysis to characterize disease-associated regulatory modules by performing single-cell transcriptome analysis of developing neurons from reciprocal human ESC models of CNV in the distal 1q21.1 region. As a result, we observed significant directional enrichment of a series of genes in neuronal cells associated with autism spectrum disorder (ASD), bipolar disorder, and schizophrenia. Correlation analyses revealed that the disease-associated signature primarily targeted epigenetic regulatory mechanisms. We also identified Bromodomain PHD Finger Transcription Factor (BPTF), a key component of the NURF chromatin remodeling complex, as a potential target responsible for transcriptome changes related to human neuropsychiatric diseases, including ASD. We provide a practical and straightforward analytical workflow for utilizing both public data and in-house single-cell omics data from disease models.

Authors

Institutions

Publication Details

Journal
Autism Research
Published
2025-12-24
DOI
https://doi.org/10.1002/aur.70156
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single‐Cell Transcriptome Meta‐Analysis Reveals Epigenomic and Chromatin Dysregulation in Developing Neurons Derived From Human ESCs With 1q21.1 CNVs

Kosuke Torigata, Toru Takumi, Jun Nomura
Autism Research
Single-cell and spatial transcriptomics
article

Single‐Cell Transcriptome Meta‐Analysis Reveals Epigenomic and Chromatin Dysregulation in Developing Neurons Derived From Human ESCs With 1q21.1 CNVs

Kosuke Torigata, Toru Takumi, Jun Nomura
article en

Abstract

Recent efforts to construct disease-specific multimodal omics databases at single-cell resolution, along with advances in reconstructive technologies such as brain organoids, have opened up opportunities to elucidate the molecular basis of complex human neuropsychiatric diseases. In this study, we performed a meta-analysis to characterize disease-associated regulatory modules by performing single-cell transcriptome analysis of developing neurons from reciprocal human ESC models of CNV in the distal 1q21.1 region. As a result, we observed significant directional enrichment of a series of genes in neuronal cells associated with autism spectrum disorder (ASD), bipolar disorder, and schizophrenia. Correlation analyses revealed that the disease-associated signature primarily targeted epigenetic regulatory mechanisms. We also identified Bromodomain PHD Finger Transcription Factor (BPTF), a key component of the NURF chromatin remodeling complex, as a potential target responsible for transcriptome changes related to human neuropsychiatric diseases, including ASD. We provide a practical and straightforward analytical workflow for utilizing both public data and in-house single-cell omics data from disease models.

Autism ResearchVol. 19(1)
Kobe University (JP)
National Center of Neurology and Psychiatry, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Partnerships for the goals
Openalex Percentile: Top 36%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Single‐Cell Transcriptome Meta‐Analysis Reveals Epigenomic and Chromatin Dysregulation in Developing Neurons Derived From Human <scp>ESCs</scp> With 1q21.1 <scp>CNVs</scp> — Kosuke Torigata, Toru Takumi, et al. · Autism Research (2025) | TGRS Research Map | TGRS