Title |
Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing
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Published in |
Genome Medicine, May 2023
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DOI | 10.1186/s13073-023-01178-3 |
Pubmed ID | |
Authors |
Billy T. Lau, Alison Almeda, Marie Schauer, Madeline McNamara, Xiangqi Bai, Qingxi Meng, Mira Partha, Susan M. Grimes, HoJoon Lee, Gregory M. Heestand, Hanlee P. Ji |
Abstract |
Epigenetic characterization of cell-free DNA (cfDNA) is an emerging approach for detecting and characterizing diseases such as cancer. We developed a strategy using nanopore-based single-molecule sequencing to measure cfDNA methylomes. This approach generated up to 200 million reads for a single cfDNA sample from cancer patients, an order of magnitude improvement over existing nanopore sequencing methods. We developed a single-molecule classifier to determine whether individual reads originated from a tumor or immune cells. Leveraging methylomes of matched tumors and immune cells, we characterized cfDNA methylomes of cancer patients for longitudinal monitoring during treatment. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 10 | 20% |
United Kingdom | 7 | 14% |
Australia | 3 | 6% |
China | 2 | 4% |
Thailand | 1 | 2% |
Canada | 1 | 2% |
France | 1 | 2% |
Japan | 1 | 2% |
Mexico | 1 | 2% |
Other | 3 | 6% |
Unknown | 20 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 32 | 64% |
Scientists | 14 | 28% |
Science communicators (journalists, bloggers, editors) | 3 | 6% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 20% |
Student > Ph. D. Student | 9 | 11% |
Student > Bachelor | 5 | 6% |
Student > Postgraduate | 5 | 6% |
Other | 4 | 5% |
Other | 9 | 11% |
Unknown | 31 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 25 | 32% |
Agricultural and Biological Sciences | 12 | 15% |
Computer Science | 4 | 5% |
Engineering | 3 | 4% |
Unspecified | 2 | 3% |
Other | 3 | 4% |
Unknown | 30 | 38% |