Spatial-Omics and Machine Learning in Muscle Stem Cell Repair (Will Wang)

In this episode of the Epigenetics Podcast, we talked with Will Wang from Sanford Burnham Prebys about his work on muscle stem cell repair, regeneration, and aging, exploring spatial-omics and machine learning. We begin our conversation by exploring the traditional concepts of spatial biology and how they have evolved to play a critical role in disease research. Dr. Wang recounts his journey from a young student in a family of academics to becoming a leading figure in regenerative biology, highlighting how his early interests in life sciences, natural problem-solving abilities, and inspirations from mentorship set the stage for his current research trajectory. Throughout the discussion, we uncover key insights on how muscle stem cells transition from a quiescent state to a proliferative state in response to injury and how this dynamic process is governed by the epigenetic landscape and various signalling pathways. Dr. Wang emphasises the impact of external factors—be it microenvironment conditions or metabolic cues—on the fate and function of these stem cells, reflecting on the methodologies used to investigate these processes throughout his career. He shares fascinating findings from his PhD work, where he explored the regulatory role of transcription factors like PAX-7 in muscle stem cell activation, and how subsequent research developed in his postdoc at Stanford further illuminated the relationship between metabolism and histone acetylation. This pivotal work not only demonstrated how metabolic states dictate epigenetic modifications but also offered potential therapeutic insights for muscle degeneration and repair. As we move into more recent projects, Dr. Wang discusses the advances in multiplexed spatial proteomics and the insights garnered from a single-cell spatiotemporal atlas of muscle regeneration, which highlight the cellular heterogeneity in muscle tissue. He describes the use of novel computational tools, including neural networks, to uncover the regulatory mechanisms underlying stem cell function, particularly how prostaglandin signalling informs the regeneration process and how age impacts stem cell efficacy. The episode then wraps up with an engaging dialogue about the future implications of Dr. Wang’s work in addressing age-related muscle degradation and broader applications in regenerative medicine. References Yucel, N., Wang, Y. X., Mai, T., Porpiglia, E., Lund, P. J., Markov, G., Garcia, B. A., Bendall, S. C., Angelo, M., & Blau, H. M. (2019). Glucose Metabolism Drives Histone Acetylation Landscape Transitions that Dictate Muscle Stem Cell Function. Cell Reports, 27(13), 3939-3955.e6. Wang, Y. X., Palla, A. R., Ho, A. T. V., Robinson, D. C. L., Ravichandran, M., Markov, G. J., Mai, T., Still, C., Balsubramani, A., Nair, S., Holbrook, C. A., Yang, A. V., Kraft, P. E., Su, S., Burns, D. M., Yucel, N. D., Qi, L. S., Kundaje, A., & Blau, H. M. (2025). Multiomic profiling reveals that prostaglandin E2 reverses aged muscle stem cell dysfunction, leading to increased regeneration and strength. Cell Stem Cell, 32(7), 1154-1169.e9. Related Episodes Stem Cell Transcriptional Regulation in Naive vs. Primed Pluripotency (Christa Buecker) The Effect of Mechanotransduction on Chromatin Structure and Transcription in Stem Cells (Sara Wickström) Epigenetic Regulation of Stem Cell Self-Renewal and Differentiation (Peggy Goodell) Contact Epigenetics Podcast on Mastodon Epigenetics Podcast on Bluesky Dr. Stefan Dillinger on LinkedIn Active Motif on LinkedIn Active Motif on Bluesky Email: podcast@activemotif.com

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Spatial-Omics and Machine Learning in Muscle Stem Cell Repair (Will Wang) is an episode from Epigenetics Podcast by Active Motif.

This episode is 55:41 long.

This episode was published on Jan 15, 2026.

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