Kenneth Hu
Department of Immunology, Division of Discovery Science
About Kenneth Hu
As a graduate student, I ventured into the field of mechanobiology and addressed the need for methods to both measure and apply cell-scale mechanical forces. In my graduate work with Dr. Manish Butte at Stanford University, I adapted atomic force microscopy towards measurement of single cell-generated forces and mechanical properties, developing novel methods, materials, and pipelines for analysis.
Upon joining Dr. Matthew Krummel’s laboratory as a postdoctoral scholar, I developed a technique, termed ZipSeq, using light controlled DNA barcode hybridization to map single cell transcriptomes onto regions defined by microscopy. This work led to a Nature Methods publication and is paving the way for several collaborative studies in multiple tissue models. We have also developed new instrumentation and protocols to make the technology more widely accessible to the life sciences community in general. To make the most of spatially resolved single cell data, I also applied a non-negative matrix factorization approach to spatiotemporally resolved wound healing single-cell ribonucleic acid sequencing (scRNA-seq) data to identify gene programs linked across diverse cell types.
Now as an Assistant Professor in the Department of Immunology at MDACC, I am focusing my independent studies on applying our cutting-edge spatial transcriptomics approaches to identifying mechanisms for emergence of intratumoral spatial heterogeneity and how this affects the propagation of checkpoint blockade. The laboratory will combine my background in immunology with my passion for tool development to create a multidisciplinary approach towards answering fundamental questions about cell-cell interactions in the tumor microenvironment (TME).
Website: kenhulab.org
Research Interests
My lab is broadly interested in developing and applying new tools for dissecting the spatial heterogeneity of the tumor microenvironment. We seek to integrate the wealth of data from imaging and single cell -omics to infer the cell-cell communication axes that drive the emergence of that spatial heterogeneity. Further, we seek to understand how this spatial heterogeneity affects the propagations of checkpoint blockade's effects in the tumor microenvironment. Our lab applies a wide range of approaches from bioengineering, imaging, single cell transcriptomics, preclinical mouse models of cancer, and computational analyses. We are always seeking motivated and passionate trainees with varied and diverse skills and educational backgrounds.
Education & Training
Degree-Granting Education
2017 | Stanford University, Stanford, CA, USA, PHD, Biophysics |
2012 | Massachusetts Institute of Technology, Cambridge, MA, USA, BS, Biology/Physics |
Postgraduate Training
2017-2023 | Research Fellowship, Tumor Immunology, UCSF, San Francisco, CA |
Selected Publications
Peer-Reviewed Articles
- Hu KH, Kuhn NF, Courau T, Tsui J, Samad B, Ha P, Kratz JR, Combes AJ, Krummel MF. Transcriptional space-time mapping identifies concerted immune and stromal cell patterns and gene programs in wound healing and cancer. Cell Stem Cell 30(6):885-903.e10, 2023. PMID: 37267918.
- Kersten K, Hu KH, Combes AJ, Samad B, Harwin T, Ray A, Rao AA, Cai E, Marchuk K, Artichoker J, Courau T, Shi Q, Belk J, Satpathy AT, Krummel MF. Spatiotemporal co-dependency between macrophages and exhausted CD8+ T cells in cancer. Cancer Cell 40(6):624-638.e9, 2022. e-Pub 2022. PMID: 35623342.
- Combes AJ, Courau T, Kuhn NF, Hu KH, Ray A, Chen WS, Chew NW, Cleary SJ, Kushnoor D, Reeder GC, Shen A, Tsui J, Hiam-Galvez KJ, Muñoz-Sandoval P, Zhu WS, Lee DS, Sun Y, You R, Magnen M, Rodriguez L, Im KW, Serwas NK, Leligdowicz A, Zamecnik CR, Loudermilk RP, Wilson MR, Ye CJ, Fragiadakis GK, Looney MR, Chan V, Ward A, Carrillo S, UCSF COMET Consortium, Matthay M, Erle DJ, Woodruff PG, Langelier C, Kangelaris K, Hendrickson CM, Calfee C, Rao AA, Krummel MF. Global absence and targeting of protective immune states in severe COVID-19. Nature 591(7848):124-130, 2021. e-Pub 2021. PMID: 33494096.
- Hu KH, Eichorst JP, McGinnis CS, Patterson DM, Chow ED, Kersten K, Jameson SC, Gartner ZJ, Rao AA, Krummel MF. ZipSeq: barcoding for real-time mapping of single cell transcriptomes. Nat Methods 17(8):833-843, 2020. e-Pub 2020. PMID: 32632238.
- Thauland TJ, Hu KH, Bruce MA, Butte MJ. Cytoskeletal adaptivity regulates T cell receptor signaling. Sci Signal 10(469), 2017. e-Pub 2017. PMID: 28270556.
- Hu KH, Butte MJ. T cell activation requires force generation. J Cell Biol 213(5):535-42, 2016. e-Pub 2016. PMID: 27241914.
- Gibson JL, Lombardo MJ, Thornton PC, Hu KH, Galhardo RS, Beadle B, Habib A, Magner DB, Frost LS, Herman C, Hastings PJ, Rosenberg SM. The sigma(E) stress response is required for stress-induced mutation and amplification in Escherichia coli. Mol Microbiol 77(2):415-30, 2010. e-Pub 2010. PMID: 20497332.
Patient Reviews
CV information above last modified April 01, 2024