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Wendell A. Lim

Affiliations: 
1996- Cellular and Molecular Pharmacology University of California, San Francisco, San Francisco, CA 
Area:
Cellular Signaling Systems
Website:
http://cmp.ucsf.edu/faculty/wendell-lim/
Google:
"Wendell Alan Lim"
Bio:

http://medschool.ucsf.edu/wendell-lim-phd-appointed-new-chair-cellular-and-molecular-pharmacology
http://www.hhmi.org/scientists/wendell-lim
http://limlab.ucsf.edu/
http://jcb.rupress.org/content/198/6/956.full
http://www.ascb.org/files/0810profile.pdf
Lim, Wendell Alan, The role of hydrophobic core in protein folding, thesis MIT (1991)

Cross-listing: Computational Biology Tree - Chemistry Tree

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Parents

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Robert T. Sauer grad student 1991 MIT (Chemistry Tree)
 (The role of hydrophobic core in protein folding)
Frederic M. Richards post-doc 1996 Yale (Chemistry Tree)

Children

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Jonathan A Flores research assistant 2012-2012 University of California at San Francisco Medical Center (Chemistry Tree)
Jared Toettcher grad student UCSF (Neurotree)
Baruch Z. Harris grad student 2003 UCSF
Ali Zarrinpar grad student 2003 UCSF
Venizelos Papayannopoulos grad student 2004 UCSF
Roby P. Bhattacharyya grad student 2005 UCSF
John E. Dueber grad student 2005 UCSF
Keiko Y. Petrosky grad student 2006 UCSF
Nathan A. Sallee grad student 2007 UCSF
Brian J. Yeh grad student 2007 UCSF
Caleb J. Bashor grad student 2010 UCSF
Matthew C. Good grad student 2010 UCSF
Angela P. Won grad student 2010 UCSF
Angela H. Chau grad student 2011 UCSF
Jaline Gerardin grad student 2013 UCSF
Reid E. Williams grad student 2013 UCSF
Hersh K Bhargava grad student 2019-2024 UCSF
Rogelio Hernandez-Lopez post-doc UCSF (Chemistry Tree)
Kole Roybal post-doc UCSF (Chemistry Tree)
Jesse G. Zalatan post-doc 2008-2014 UCSF (Chemistry Tree)
Elias M. Puchner post-doc 2010-2014 UCSF (Chemistry Tree)

Collaborators

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Chao Tang collaborator UCSF (Physics Tree)
Shangying Wang collaborator 2020-2022 UCSF (Neurotree)
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Publications

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Allen GM, Frankel NW, Reddy NR, et al. (2022) Synthetic cytokine circuits that drive T cells into immune-excluded tumors. Science (New York, N.Y.). 378: eaba1624
Daniels KG, Wang S, Simic MS, et al. (2022) Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning. Science (New York, N.Y.). eabq0225
Choe JH, Watchmaker PB, Simic MS, et al. (2021) SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma. Science Translational Medicine. 13
Hernandez-Lopez RA, Yu W, Cabral KA, et al. (2021) T cell circuits that sense antigen density with an ultrasensitive threshold. Science (New York, N.Y.)
Huang X, Williams JZ, Chang R, et al. (2020) DNA scaffolds enable efficient and tunable functionalization of biomaterials for immune cell modulation. Nature Nanotechnology
Williams JZ, Allen GM, Shah D, et al. (2020) Precise T cell recognition programs designed by transcriptionally linking multiple receptors. Science (New York, N.Y.). 370: 1099-1104
Dannenfelser R, Allen GM, VanderSluis B, et al. (2020) Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies. Cell Systems
Gerardin J, Reddy NR, Lim WA. (2019) The Design Principles of Biochemical Timers: Circuits that Discriminate between Transient and Sustained Stimulation. Cell Systems
Toda S, Frankel NW, Lim WA. (2019) Engineering cell-cell communication networks: programming multicellular behaviors. Current Opinion in Chemical Biology. 52: 31-38
Lim W. (2019) Sensing and Sensibility: Programming Smarter Chimeric Antigen Receptor T Cells Blood. 134: SCI-24-SCI-24
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