<p>Circulating cell-free RNA (cfRNA) in plasma represents a promising avenue for cancer detection. We report low-input multiple methylation sequencing, a method for profiling modification patterns in cfRNA, enabling the detection of diverse transfer RNAs and small noncoding RNAs derived from both the human genome and the microbiome. RNA modification patterns in microbiome-derived cfRNA accurately reflect host microbiota activity and hold potential for the early detection of colorectal cancer.</p>

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Modifications of microbiome-derived cell-free RNA in plasma discriminates colorectal cancer samples

  • Cheng-Wei Ju,
  • Ruitu Lyu,
  • Han Li,
  • Jiangbo Wei,
  • Alberto J. Parra Vitela,
  • Urszula Dougherty,
  • Akushika Kwesi,
  • Alexander Luna,
  • Xuanhao Zhu,
  • Shenghai Shen,
  • Yunzheng Liu,
  • Liangliang Wang,
  • Xiaolong Cui,
  • Yuzhi Xu,
  • Bochen Jiang,
  • Yiyi Ji,
  • Peng Xia,
  • Diana C. West-Szymanski,
  • Chenxi Sun,
  • Yuhao Zhong,
  • Chang Ye,
  • Angelica Moran,
  • Christopher Lehmann,
  • Eric Pamer,
  • Wei Zhang,
  • Marc Bissonnette,
  • Li-Sheng Zhang,
  • Chuan He

摘要

Circulating cell-free RNA (cfRNA) in plasma represents a promising avenue for cancer detection. We report low-input multiple methylation sequencing, a method for profiling modification patterns in cfRNA, enabling the detection of diverse transfer RNAs and small noncoding RNAs derived from both the human genome and the microbiome. RNA modification patterns in microbiome-derived cfRNA accurately reflect host microbiota activity and hold potential for the early detection of colorectal cancer.