Subject
Biology
Lab
Laboratory of Lineage Tracing
"Let's venture into the wilderness of knowledge, filled with enthusiasm, curiosity, and fearlessness, and open up a beautiful new world!"
Biography
Dr. Shou-Wen Wang received his bachelor’s degree in Engineering Physics from Tsinghua University in 2013. He went on to obtain a PhD in Physics from Tsinghua University in 2018. During 2018-2022, Dr. Wang worked as a postdoctoral researcher in the Department of Systems Biology at Harvard Medical School. He was awarded the Quantitative Biology Award from the Damon Runyon Cancer Research Foundation during his postdoc. In 2023, he joined Westlake University as an assistant professor in the School of Life Sciences, with a joint appointment in the physics department at the School of Science. Dr. Wang pioneered the field of lineage tracing and developed MethylTree, the first non-invasive lineage tracing tool based on DNA methylation epimutations, which opens the door for single-cell multiomic lineage tracing in humans.
2020
the Quantitative Biology Award from the Damon Runyon Cancer Research Foundation
Research
Cell lineages, defined as the division history of cells within an organism, are essential for understanding the mechanisms underlying development, aging, and disease. Lineage tracing aims to reconstruct the division history of cells in the body. In the field of single-cell lineage tracing, Dr. Wang has made several groundbreaking contributions, including:
1. Developing CoSpar, a computational tool that integrates cellular lineage and transcriptomics to accurately predict cell fate (2022, Nature Biotechnology, first and co-corresponding author).
2. Co-developing the next-generation lineage-tracing mouse model DARLIN, the single-cell multi-omics technology Camellia-seq, and uncovering epigenetic clonal memory in hematopoietic stem cells (2023, Cell, co-corresponding author).
3. Creating MethylTree, a non-invasive lineage-tracing tool based on DNA methylation mutations (2025, Nature Methods, corresponding author).
The lab currently focuses on advancing single-cell DNA methylation research and lineage-tracing technologies. One focus is developing high-throughput, cost-effective single-cell DNA methylation profiling methods, improving the reliability of lineage-tracing algorithms, and applying these innovations to various human tissues to conduct multi-omics lineage tracing. These efforts aim to address previously unresolved fundamental scientific questions. Another focus is leveraging machine learning to extract deeper insights from DNA methylation data, offering a fresh perspective on development and aging at the epigenetic level.
Our lab is deeply interdisciplinary, blending experimental and computational approaches. We welcome individuals with backgrounds in experimental biology, computational biology, physics, computer science, and related fields to join us. For more information, please visit our website: https://www.shouwenwang-lab.com/.
Representative Publications
* These are corresponding authors.
+ These authors contribute equally.
1, L. Li+, S. Bowling+, H. Lin, D. Chen, S.-W. Wang*, F. D. Camargo*, DARLIN mouse for in vivo lineage tracing at high efficiency and clonal diversity, Nature Protocols (2025).
2, M. Chen+, R. Fu+, Y. Chen, L. Li* & S.-W. Wang*, High-resolution, noninvasive single-cell lineage tracing in mice and humans based on DNA methylation epimutations, Nature Methods (2025).
3, S.-W. Wang*, MethylTree: exploring epimutations for accurate and non-invasive lineage tracing, Nature Methods (2025).
4, L. Li, S. Bowling, S. E. McGeary, Q. Yu, B. Lemke, K. Alcedo, Y. Jia, X. Liu, M. Ferreira, A. M. Klein, S.-W. Wang*, F. D. Camargo*, A mouse model with high clonal barcode diversity for joint lineage, transcriptomic, and epigenomic profiling in single cells, Cell (2023).
5, S.-W. Wang*, M. J. Herriges, K. Hurley, D. N. Kotton, A. M. Klein*, CoSpar identifies early cell fate biases from single cell transcriptomic and lineage information, Nature Biotechnology (2022).
6, A. E. Rodriguez-Fraticelli, C. S. Weinreb, S.-W. Wang, R. P. Migueles, M. Jankovic, M. Usart, A. M. Klein, S. Lowell, F. D. Camargo*, Combined single cell lineage and transcriptome sequencing reveals Tcf15 as a master regulator of hematopoietic stem cell fate, Nature 583, 585 (2020).
7, S.-W. Wang*, and L.-H. Tang*, Emergence of collective oscillations in adaptive cells, Nature Communications 10, 5613 (2019).
8, S.-W. Wang, A.-F. Bitbol*, N. S. Wingreen*, Revealing evolutionary constraints on proteins through sequence analysis, PLOS Computational Biology 15, e1007010 (2019)
9, S.-W. Wang, K. Kawaguchi, S.-i. Sasa and L.-H. Tang, Entropy production of nanosystems with time scale separation, Physical Review Letters 117, 070601 (2016).
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