معرفی
Yanxiang Deng is an Assistant Professor in the Department of Pathology and Laboratory Medicine at the Perelman School of Medicine, University of Pennsylvania. His research pioneers spatial omics technologies to decode tissue architecture in development and disease, with seminal contributions including spatial-CUT&Tag and spatial-ATAC-seq for epigenetic mapping.
His educational background includes a PhD from Rensselaer Polytechnic Institute (2018) followed by postdoctoral training at Yale University (2018-2022). Key appointments span Cell and Molecular Biology and Genomics and Computational Biology graduate groups.
Deng's lab focuses on developing microfluidic platforms for spatial multi-omics, enabling pixel-level profiling of histone modifications, chromatin accessibility, and proteome-transcriptome interactions. His work bridges engineering and biomedicine to address cancer mechanisms and neurodegenerative disorders, with technologies allowing unprecedented resolution of cell-type-specific epigenetic landscapes in intact tissues.
Analysis of his 15 most recent publications (2023-2025) reveals accelerating innovation in multimodal spatial mapping, particularly FFPE tissue compatibility, DNA methylation-transcriptome co-profiling, and neuroscience applications. His methods increasingly integrate chromatin features with proteomic data, expanding from foundational 2022 Science and Nature papers to clinical translation in depression and cancer.
Major recognitions include:
- Blavatnik Awards for Young Scientists, Regional Laureate in Life Sciences (2023)
- Founders Award of Excellence, Rensselaer Polytechnic Institute (2015)
- National Scholarship (2008)
He actively mentors 8 trainees including 6 graduate students and 2 postdocs, with research supported by NIH grants and institutional funding. His lab's deterministic barcoding approach (DBiT-seq), highlighted as Nature Methods' "Method of the Year," underpins multiple high-impact collaborations in immunology and neuroscience.
The Deng Lab operates from Stellar Chance Laboratories, employing interdisciplinary teams to develop next-generation tools for spatial multi-omics. Current projects include Spatial-DMT for DNA methylation mapping and spatial-Mux-seq for quadruple-modality profiling, leveraging microfluidics expertise to unlock archival tissue repositories for disease research.
