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<p>Regulating the occurrence and progression of tumor cells at the epigenetic level is a new insight of clear cell renal cell carcinoma (ccRCC). Chromatin accessibility is an important pathway of epigenetic regulation, which may explain the mystery of tumor occurrence. Assay for transposase-accessible chromatin sequencing (ATAC-seq) provides insight into the epigenetic regulatory features of ccRCC, especially at the single-cell level. In this study, we performed scATAC-seq of 3 ccRCC samples and captured a total of 18,703 high-quality cell nuclei and 104,818 unique peaks. Our protocol for nuclear extraction was reliable and stable, which can be used to deal with fresh and frozen single-cell suspensions. We presented basic methods for scATAC-seq data analysis, such as cell clustering, gene activity scoring, cell subtype specific peaks, transcription factors, motif and motif footprinting analysis. Taken together, our data indicated the valuable epigenetic features of ccRCC, which will provide more references for the study of ccRCC.</p>

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Single-cell assay for transposase-accessible chromatin sequencing of human clear cell renal cell carcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月25日

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  • Wenhao Lu,
  • Yixuan Liu,
  • Jiaping Li,
  • Shengzhu Huang,
  • Zheng Wen,
  • Cheng Su,
  • Zheng Lu,
  • Zengnan Mo,
  • Zhenyuan Yu

摘要

Regulating the occurrence and progression of tumor cells at the epigenetic level is a new insight of clear cell renal cell carcinoma (ccRCC). Chromatin accessibility is an important pathway of epigenetic regulation, which may explain the mystery of tumor occurrence. Assay for transposase-accessible chromatin sequencing (ATAC-seq) provides insight into the epigenetic regulatory features of ccRCC, especially at the single-cell level. In this study, we performed scATAC-seq of 3 ccRCC samples and captured a total of 18,703 high-quality cell nuclei and 104,818 unique peaks. Our protocol for nuclear extraction was reliable and stable, which can be used to deal with fresh and frozen single-cell suspensions. We presented basic methods for scATAC-seq data analysis, such as cell clustering, gene activity scoring, cell subtype specific peaks, transcription factors, motif and motif footprinting analysis. Taken together, our data indicated the valuable epigenetic features of ccRCC, which will provide more references for the study of ccRCC.