Seminar Time ：September 21, 2026 (Monday), 14:00
Seminar Venue ：Room 308-309, Building 6, HIAS
Seminar Title ：Scalable methylome-transcriptome profiling resolves clonal organization in human hematopoiesis
Speaker ：Shou-Wen Wang, PhD, Principal Investigator, Westlake University
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 and center for interdisciplinary studies. Dr. Wang is an expert in lineage tracing.
Seminar Abstract
Understanding human tissue maintenance and remodeling requires linking clonal ancestry to molecular state, yet scalable joint measurement remains challenging. Here, we introduce Droplet-MT and an integrated computational workflow for joint transcriptome and methylome profiling at ~10,000 cells per library. Methylation epimutations enable mutation-independent clonal reconstruction from high-coverage methylomes, while reference-based label transfer assigns cells to established clones at ~0.2% CpG coverage, reducing sequencing cost. Clone-aggregated somatic variants provide genetic annotation without additional single-cell genotyping. Across ~21,000 paired profiles from healthy blood and longitudinal acute myeloid leukemia, we resolved small and expanded clones with heterogeneous lineage output. In leukemia, the framework distinguished changes in malignant clonal abundance, state remodeling within persistent clones, and recovery of healthy polyclonal hematopoiesis. Malignant monocytes remained transcriptionally and epigenetically distinct from healthy and recovery-associated cells despite treatment-associated remodeling. Droplet-MT enables scalable analysis of human tissues by linking clonal organization with molecular state and retrospective genetic annotation.
All faculty and students are welcome.
