TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution

Transposable elements (TEs) are repetitive DNA sequences typically silenced in normal tissues. Their dysregulation in cancer can significantly impact oncogene activation and tumorigenesis. However, due to their repetitive nature, TEs are often excluded from gene-centric single-cell analyses. Although recent advances have enabled single-cell TE quantification, a systematic resource for exploring single-cell TE dynamics in cancer has remained lacking. To address this, we developed TE-SCALE (https://ngdc.cncb.ac.cn/te-scale/), a single-cell database for integrative analysis and visualization of TE expression across human cancers. It incorporates over 1.3 million cells from 330 samples across 20 cancer types and 12 tissue origins. Built on our in-house pipeline scTEfinder, TE-SCALE provides a comprehensive pan-cancer TE expression atlas, enabling multi-scale exploration from tissue to cell population, supported by well-curated TE annotations. The platform offers three key analytical modules: differential TE expression, TE-gene co-expression network, and functional enrichment analysis. A user-friendly web interface supports flexible browsing, searching, analysis, and data download. Notably, TE-SCALE identifies tumor-specific TEs preferentially expressed in particular cancer types or disease states, underscoring their potential as biomarkers for diagnosis, monitoring, and immunotherapeutic targeting. Collectively, TE-SCALE provides an essential resource for decoding TE biology in cancer and expedites its translation into clinical applications.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-10-22
DOI
https://doi.org/10.1093/nar/gkaf1235
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
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article

TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution

Xiangjiang Meng, Jingyao Zeng, Na Ai, Lan Jiang et al.
1 citations
Nucleic Acids Research
Single-cell and spatial transcriptomics
0.81
article

TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution

Xiangjiang Meng, Jingyao Zeng, Na Ai, Lan Jiang, Qifei Wang, Yulan Deng, Yun Li, Zheng Huang, Guochao Li, Yiwen Hu, Jingfa Xiao, Yang Yuan, Zhi Nie
article en
1 citations

Abstract

Transposable elements (TEs) are repetitive DNA sequences typically silenced in normal tissues. Their dysregulation in cancer can significantly impact oncogene activation and tumorigenesis. However, due to their repetitive nature, TEs are often excluded from gene-centric single-cell analyses. Although recent advances have enabled single-cell TE quantification, a systematic resource for exploring single-cell TE dynamics in cancer has remained lacking. To address this, we developed TE-SCALE (https://ngdc.cncb.ac.cn/te-scale/), a single-cell database for integrative analysis and visualization of TE expression across human cancers. It incorporates over 1.3 million cells from 330 samples across 20 cancer types and 12 tissue origins. Built on our in-house pipeline scTEfinder, TE-SCALE provides a comprehensive pan-cancer TE expression atlas, enabling multi-scale exploration from tissue to cell population, supported by well-curated TE annotations. The platform offers three key analytical modules: differential TE expression, TE-gene co-expression network, and functional enrichment analysis. A user-friendly web interface supports flexible browsing, searching, analysis, and data download. Notably, TE-SCALE identifies tumor-specific TEs preferentially expressed in particular cancer types or disease states, underscoring their potential as biomarkers for diagnosis, monitoring, and immunotherapeutic targeting. Collectively, TE-SCALE provides an essential resource for decoding TE biology in cancer and expedites its translation into clinical applications.

Nucleic Acids ResearchVol. 54(D1)
Chinese Academy of Sciences (CN), Sichuan University (CN), China Tobacco (CN), Beijing Institute of Genomics (CN), Institute for Stem Cell Biology and Regenerative Medicine (IN), West China Hospital of Sichuan University (CN), Shanghai Center For Bioinformation Technology (CN), Beijing Academy of Science and Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
0.81
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