Y
Yapeng Su
Researcher at California Institute of Technology
Publications - 29
Citations - 1570
Yapeng Su is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 11, co-authored 18 publications receiving 641 citations. Previous affiliations of Yapeng Su include Institute for Systems Biology & Fred Hutchinson Cancer Research Center.
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Journal ArticleDOI
Multiple early factors anticipate post-acute COVID-19 sequelae
Yapeng Su,Dan Yuan,Daniel G. Chen,Rachel Ng,Kai Wang,Jongchan Choi,Sarah Li,Sunga Hong,Rongyu Zhang,Jingyi Xie,Sergey A. Kornilov,Kelsey Scherler,A.-J. Pavlovitch-Bedzyk,Shen Dong,Christopher Lausted,Inyoul Lee,Shannon Fallen,Chengzhen L. Dai,Priyanka Baloni,Brett Smith,Venkata R. Duvvuri,Kristin G. Anderson,Jing Wei Li,Fan Yang,Caroline J. Duncombe,Denise J. McCulloch,Clifford Rostomily,Pamela Troisch,Jing Zhou,Sean Mackay,Quinn DeGottardi,Damon May,Ruth T. Taniguchi,Rachel M. Gittelman,Mark Klinger,Thomas M. Snyder,Ryan Roper,Gladys Wojciechowska,Kim Murray,Rick Edmark,Simon Evans,Lesley Jones,Yon-gan Zhou,Lee Rowen,Rachel Xia-Ying Liu,William Chour,Heather Algren,William R. Berrington,Julie A. Wallick,Rebecca Cochran,Mary Micikas,Christos J. Petropoulos,Hunter Cole,Trevan D Fischer,Wei Wei,Dave S.B. Hoon,Nathan D. Price,Naeha Subramanian,Joshua A. Hill,Jenn J. Hadlock,Andrew T. Magis,Antoni Ribas,Lewis L. Lanier,Scott D. Boyd,Jeffrey A. Bluestone,Helen Y. Chu,Leroy Hood,Raphael Gottardo,Philip D. Greenberg,Mark M. Davis,Jason D Goldman,James R. Heath +71 more
TL;DR: Huang et al. as discussed by the authors performed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data and patient-reported symptoms.
Journal ArticleDOI
Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance.
Yapeng Su,Wei Wei,Wei Wei,Lidia Robert,Min Xue,Jennifer Tsoi,Angel Garcia-Diaz,Blanca Homet Moreno,Blanca Homet Moreno,Jungwoo Kim,Rachel Ng,Jihoon W. Lee,Richard C. Koya,Begonya Comin-Anduix,Thomas G. Graeber,Antoni Ribas,James R. Heath,James R. Heath +17 more
TL;DR: Biophysical insights are provided into how BRAF mutant melanoma cells adapt to the stress of MAPK inhibition via a series of reversible phenotypic transitions toward drug-tolerant or drug-resistant cell states enriched for neural-crest factors and mesenchymal signatures.
Journal ArticleDOI
Single-Cell Phosphoproteomics Resolves Adaptive Signaling Dynamics and Informs Targeted Combination Therapy in Glioblastoma
Wei Wei,Wei Wei,Young Shik Shin,Young Shik Shin,Min Xue,Tomoo Matsutani,Kenta Masui,Huijun Yang,Shiro Ikegami,Yuchao Gu,Ken Herrmann,Dazy Johnson,Xiangming Ding,Kiwook Hwang,Jungwoo Kim,Jian Zhou,Yapeng Su,Xin-Min Li,Bruno Bonetti,Rajesh Chopra,C. David James,Webster K. Cavenee,Timothy F. Cloughesy,Paul S. Mischel,James R. Heath,James R. Heath,Beatrice Gini +26 more
TL;DR: Single-cell phosphoproteomics is performed on a patient-derived in vivo GBM model of mTOR kinase inhibitor resistance and coupled it to an analytical approach for detecting changes in signaling coordination to identify actionable alterations in signal coordination that underlie adaptive resistance.
Journal ArticleDOI
T cell antigen discovery via trogocytosis.
Guideng Li,Guideng Li,Michael T. Bethune,Stephanie Wong,Alok V. Joglekar,Michael T. Leonard,Jessica Wang,Jocelyn T. Kim,Donghui Cheng,Songming Peng,Jesse M. Zaretsky,Yapeng Su,Yicheng Luo,James R. Heath,James R. Heath,Antoni Ribas,Owen N. Witte,David Baltimore +17 more
TL;DR: A cell-based selection platform for TCR ligand discovery that exploits a membrane transfer phenomenon called trogocytosis and allows the identification of neoepitopes targeted by T cell receptors with high sensitivity is developed.
Journal ArticleDOI
Single cell proteomics in biomedicine: High‐dimensional data acquisition, visualization, and analysis
TL;DR: The state‐of‐the‐art single cell proteomic tools with a particular focus on data acquisition and quantification are surveyed, followed by an elaboration of a number of statistical and computational approaches developed to date for dissecting the high‐dimensional single cell data.