Autophagy dysfunction and senescence are established drivers of aging, but their potential interaction remains poorly understood. Here we show that age-related decline of chaperone-mediated autophagy (CMA), a pathway for selective lysosomal protein degradation, changes senescent cell properties and impairs their immune...
Rebecca Sereda, Kristen Lindenau, Antonio Díaz et al.· Nature Aging· 1 citation
EmitGCL is developed, a deep-learning framework to predict metastasis and related biomarkers using cancer single-cell sequencing data, enabling and validating the discovery of occult metastases and breast cancer metastasis biomarkers.
Xiaoying Wang, Maoteng Duan, Anthony J. Snyder et al.· Nature Communications· 0 citations
EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding biomarkers, is presented and YY1 transcription factor is demonstrated as a key driver of breast cancer metastasis which was validated through in-silico and CRISPR-based migration assays, suggesting that YY1 is a potentia...
Xiaoying Wang, Maoteng Duan, Po-Lan Su et al.· bioRxiv· 0 citations
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