CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics

Oligodendrocytes are the myelinating cells within the central nervous system, but the mechanisms by which transcription factors (TFs) cooperate for gene regulation in oligodendrocytes remain unclear. We introduce coTF-reg, an analytical framework that integrates scRNA-seq and scATAC-seq data to identify cooperative TFs co-regulating the target gene (TG). First, we identify co-binding TF pairs in the same oligodendrocyte-specific regulatory regions. Next, we train a deep learning model to predict each TG expression using the co-binding TFs' expressions. Shapley interaction scores reveal high interactions between co-binding TF pairs, such as SOX10-TCF12. Validation using oligodendrocyte eQTLs and their eGenes that are regulated by these cooperative TFs show potential regulatory roles for genetic variants. Experimental validation using ChIP-seq data confirms some cooperative TF pairs, such as SOX10-OLIG2. Prediction performance of our models is evaluated through holdout data and additional datasets, and an ablation study is also conducted. The results demonstrate stable and consistent performance.

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Publication Details

Journal
Communications Biology
Published
2025-02-05
DOI
https://doi.org/10.1038/s42003-025-07570-6
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

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article

CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics

Jerome J. Choi, John Svaren, Daifeng Wang
3 citations
Communications Biology
Single-cell and spatial transcriptomics
2.42
article

CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics

Jerome J. Choi, John Svaren, Daifeng Wang
article en
3 citations

Abstract

Oligodendrocytes are the myelinating cells within the central nervous system, but the mechanisms by which transcription factors (TFs) cooperate for gene regulation in oligodendrocytes remain unclear. We introduce coTF-reg, an analytical framework that integrates scRNA-seq and scATAC-seq data to identify cooperative TFs co-regulating the target gene (TG). First, we identify co-binding TF pairs in the same oligodendrocyte-specific regulatory regions. Next, we train a deep learning model to predict each TG expression using the co-binding TFs' expressions. Shapley interaction scores reveal high interactions between co-binding TF pairs, such as SOX10-TCF12. Validation using oligodendrocyte eQTLs and their eGenes that are regulated by these cooperative TFs show potential regulatory roles for genetic variants. Experimental validation using ChIP-seq data confirms some cooperative TF pairs, such as SOX10-OLIG2. Prediction performance of our models is evaluated through holdout data and additional datasets, and an ablation study is also conducted. The results demonstrate stable and consistent performance.

Communications BiologyVol. 8(1)
University of Wisconsin–Madison (US)
National Science Foundation, Waisman Center, National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, Division of Biological Infrastructure
Zero hunger
Openalex Percentile: Top 13%
Single-cell and spatial transcriptomics
2.42
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