2021 –
Nikitina, A.A., Roysam T., Kemp, M.L. “Early Dynamic Changes in iPSC Oxygen Consumption Rate Predict Future Cardiomyocyte Differentiation”. Bioengineering & Biotechnology, 1-6, DOI: 10.1002/bit.28489, 2023.
Kelvin, J.M., Chimenti, M.L., Zhang, D.Y., Williams, E.K., Moore, S.G., Humber, G.M., Baxter, T.A., Birnbaum, L.A., Qui, M., Zecca, H., Thapa, A., Jain, J., Jui, N.T., Wang, X., Fu, H., Du, Y., Kemp, M.L., Lam, W.A., Graham, D.K., DeRyckere, D., Dreaden, E.C. “Development of Constitutively Synergistic NanoFormulations to Enhance Chemosensitivity in T Cell Leukemia”. J. Controlled Release, v.361, pp 470-482, 2023.
Fey, M.E., Oshinowo, O., Iffrig, E., Fibben, K.S., Caruso, C., Hansen, S., Oakley, J.H., Valdez, J.M., Azer, S., Choi, H., Kanne, C.K., Zhang, D., Williams, E.K., Evans, E.N., Kemp, M.L., Sheehan, V.A., Carden, M.A., Bennett, C.M., Wood, D.K., Lam, W.A. “iCLOTS: open-source, artificial intelligence-enabled software for analyses of microscopy-based data in hematology”, Nature Communications, 14: 5022, 2023.
Geitgey, D.S., Melendez, A.J., Caldeira-Botelho, R., Kemp, M.L., Henry, C.J. “Purinergic signaling and purine base metabolism at the crossroads between immunity, metabolism, and cancer: A review”. ImmunoMedicine, 2023; e1044. DOI:10.1002/imed.1044.
Raddatz, A.D., Furdui, C.M., Bey, E., Kemp, M.L. “Single cell kinetic modeling of redox-based drug metabolism in head and neck squamous cell carcinoma”, Antioxidants, 12(3), p.741, 2023.
Nikitina, A.A., Van Grouw, A., Roysam, T., Huang, D., Fernandez, F.M., Kemp M.L. “Mass spectrometry imaging reveals early metabolic priming of cell lineage in differentiating human induced pluripotent stem cells”. Analytical Chemistry, March 10, 2023; doi: 10.1021/acs.analchem.2c04416.
Ji, Z., Moore J., Devarie-Baez, N.O., Lewis, J., Wu H., Shukla, K., Silva Lopez, E.I., Vitvitsky, V., Chuang Key C., Porosnicu M., Kemp, M.L., Banerjee, R., Parks J.S., Tsang A.W., Zhou, X., Furdui, C.M. “Redox integration of signaling and metabolism in a head and neck cancer model of radiation resistance using COSMRO” , Frontiers in Oncology, Jan 4;12:946320, 2023.
Cruz, D.A., Kemp, M.L. “Hybrid computational modeling methods for systems biology”. Progress in Biomedical Engineering, 4:012002, 2021.
Lewis, J.E., Kemp, M.L. “Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance”. Nature Communications, DOI: 10.1038/s41467-021-22989-1; 2021.
Lewis, J.E., Forshaw, T.E., Boothman, D.A., Furdui, C.M., Kemp, M.L. “Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors”. Cell Systems, doi: 10.1016/j.cels.2020.12.001, 2021.
2016 – 2020
Shukla, K., Singh, N., Lewis, J.E., Tsang, A.W., Kemp, M., C.M. Furdui, “MTHFD2 Blockade Enhances the Efficacy of β-Lapachone Chemotherapy with Ionizing Radiation in Head and Neck Squamous Cell Cancer”. Frontiers in Oncology, DOI: 10.3389/fonc.2020.536377; 2020.
Paudel B.B , Lewis J.E., Hardeman K.N., Hayford C.E. , Robbins C.J. , Codreanu G.S., Sherrod S.D., McLean J.A., Kemp M.L., Quaranta, V. “Elevated Redox Capacity Confers Drug-Insensitivity to BRAF inhibitors in Melanoma”. Cancer Research, DOI: 10.1158/0008-5472.CAN-19-3588, 2020.
Nikitina A., Huang D., Li L., Peterman N., Cleavenger S.E., Fernández F.M., and Kemp M.L. “A Co-registration Pipeline for Multimodal MALDI and Confocal Imaging Analysis of Stem Cell Colonies”. Journal of the American Society for Mass Spectrometry, doi: 10.1021/jasms.9b00094, 2020.
Norfleet, D.A., Park, E., Kemp, M.L. “Computational Modeling of Organoid Development”. Current Opinion in Biomedical Engineering, 13:113-118, doi: 10.1016/j.cobme.2019.12.014, 2020.
Jayaram D.T., Kumar A., Kippner L.E., Ho P-Y., Kemp M.L, Fan Y. and Payne C.K. “TiO2 nanoparticles generate superoxide and alter gene expression in human lung cells”. RSC Advances, 9, 25039-25047, doi: 10.1039/C9RA04037D, 2019.
He, L., Raddatz, A.D., Zhou, F., Hwang, H., Kemp, M.L., Lu, H. “Dynamic Mitochondrial Migratory Features Associated with Calcium Responses during T Cell Antigen Recognition”, Journal of Immunology, doi: 10.4049/jimmunol.1800299, 2019.
*Bailur, J.K., *McCachren, S., Doxie, D.B., Shrestha, M., Pendleton, K., Nooka, A.J., Neparidze, N., Parker, T.L., Bar, N., Kaufman, J.L., Hofmeister, C.C., Boise, L.H., Lonial, S., Kemp, M.L., †Dhodapkar, K.M., †Dhodapkar, M.V. “Early alterations in stem-like/resident T cells, innate and myeloid cells in the bone marrow in preneoplastic gammopathy”. JCI Insight, ;4(11):e127807, doi: 10.1172/jci.insight.127807, 2019.
Glen, C.M., Kemp, M.L., Voit, E.O. “Agent-based modeling of morphogenetic systems: Advantages and challenges”. PLoS Comput Biol, 15(3): e1006577. doi: 10.1371/journal.pcbi.1006577, 2019.
Forshaw T.E., Holmila R., Nelson K.J., Lewis J.E., Kemp M.L., Tsang A.W., L Poole L.B., Lowther W.T., Furdui C.M. “Peroxiredoxins in Cancer and Response to Radiation Therapies” Antioxidants 8(1). pii: E11. 2019.
Kamm, R.D, Bashir, R., Arora, N., Dar, R.D., Gillette, M.U., Griffith, L.G., Kemp, M.L., Kinlaw, K., Levin, M., Martin, A.C., McDevitt, T.C., Nerem, R.M., Powers, M.J., Saif, T.A., Sharpe, J., Takayama, S., Takeuchi, S., Weiss, R., Ye, K., Yevick, H.G., Zaman, M.H. “Perspective: The promise of multi-cellular engineered living systems”. APL Bioengineering, 2(4): 040901. doi: 10.1063/1.5038337, 2018.
*Lewis J.E., *Singh N., Holmila R.J., Sumer B.D., Williams N.S., Furdui C.M., Kemp M.L., Boothman DA. Targeting NAD+ metabolism to enhance radiation therapy responses. Seminars in Radiation Oncology, 29(1), p. 6-15, 2019.
Glen, C.M., McDevitt, T.C., Kemp, M.L. “Dynamic intercellular transport modulates the spatial patterning of differentiation during early neural commitment”. Nature Communications, 9(1): 4111. doi: 10.1038/s41467-018-06693-1, 2018.
Kippner, L., Kemp, M.L. “Oscillatory IL-2 Stimulus Reveals Pertinent Signaling Timescales of T Cell Responsiveness”. PLoS One, doi: 10.1371/journal.pone.0203759, 2018.
Lewis, J.E., Costantini, F., Mims, J., Chen, X., Furdui, C., Boothman, D.A., Kemp, M.L. “Genome-scale modeling of NADPH-driven β-lapachone sensitization in head and neck squamous cell carcinoma”. Antioxidant Redox Signaling, 29(2): pp. 937-952. doi:10.1089/ars.2017.7048, 2018.
*Chen, X., *Mims, J., Huang, X., Singh, N., Motea, E., Planchon-Pope, S.M., Beg, M., Tsang, A.W., Porosnicu, M., Kemp, M.L., Boothman, D.A., Furdui, C.A. “Modulators of Redox Metabolism in Head and Neck Cancer”. Antioxidants & Redox Signaling, doi: 10.1089/ars.2017.7423, 2017.
Runa, S., Lakadamyali, M., Kemp, M.L., Payne, C.K. “TiO2 Nanoparticle-Induced Oxidation of the Plasma Membrane: Importance of the Protein Corona”. Journal of Physical Chemistry Part B, 121: 8619−8625, 2017.
Kemp, M.L., Voit, E.O., Lee, R.C. “The Fundamental Value of Engineering Pedagogy for Realizing Personalized Medicine”. Journal of Regenerative Engineering and Translational Medicine, DOI: 10.1007/s40883-017-0039-6, Dec. 2017.
Jayaram, D.T., Runa, S. Kemp, M.L., Payne, C.K. “Nanoparticle-induced oxidation of the protein corona initiates an oxidative stress response in cells” Nanoscale, 9(22):7595-7601, 2017.
Kniss-James, A.S., Rivet, C.A., Chingozha, L., Lu, H., Kemp, M.L. “Single-cell resolution of intracellular T cell Ca2+ dynamics in response to frequency-based stimulation”. Integrative Biology, DOI: 10.1039/C6IB00186F, 2017.
Prasanphanich, A.F., White, D.E., Gran, M.E., Kemp, M.L. “Kinetic Modeling of ABCG2 Transporter Heterogeneity: A Quantitative, Single-Cell Analysis of the Side Population Assay”. PLoS Computational Biology, Nov 16;12(11):e1005188, 2016.
*Rivet, C.A., *Kniss, A., Gran, M.A., Potnis, A., Hill, A., Lu, H., Kemp, M.L. “Calcium dynamics of ex vivo long-term cultured CD8+ T cells are regulated by age related changes in redox metabolism”. PLoS One,11(8):e0159248, 2016.
Briers, D., Haghighi, I., White, D., Kemp, M.L. Belta, C. Pattern Synthesis in a 3D Agent-Based Model of Stem Cell Differentiation. 55th IEEE Conference on Decision and Control, 2016.
Runa, S., Khanal, D., Kemp, M., Payne, C. “TiO2 Nanoparticles Alter the Expression of Peroxiredoxin Anti-Oxidant Genes”. Journal of Physical Chemistry Part C, 120 (37), pp 20736–20742, 2016.
2010-2015
*Warren, E.A.K., *Netterfield, T.S., Sarkar, S., Kemp, ML, Payne, C.K.. “Spatially-resolved Intracellular Sensing of Hydrogen Peroxide in Living Cells”. Scientific Reports 5:16929, 2015.
Dwivedi, G., Gran, M.A., Bagchi, P., Kemp, M.L. “Dynamic Redox Regulation of IL-4 Signaling”. PLoS Computational Biology DOI:10.1371/journal.pcbi.1004582, 2015.
White, D.E., Sylvester J.B., Kinney M.A., Levario T.J., Lu, H., Streelman J.T., McDevitt, T.C., Kemp, M.L. “Quantitative Multivariate Analysis of Dynamic Multicellular Morphogenic Trajectories”, Integrative Biology, DOI:10.1039/c5ib00072f, 2015.
He L, Kniss A, San-Miguel A, Rouse T, Kemp ML, Lu H. “An automated platform enabling dynamic stimuli delivery and cellular response readout for high-throughput single-cell signaling studies”. Lab on a Chip, 15(6):1497-507, 2015.
Prasanphanich, A.F., Arencibia, C.A., Kemp, M.L. “Redox Processes Inform Multivariate Transdifferentiation Trajectories Associated with TGFβ-Induced Epithelial-Mesenchymal Transition”. Free Radical Biology & Medicine, 76:1-13, 2014.
Kippner, L.E., Kim, J., Gibson, G., Kemp, M.L. “Single Cell Transcriptional Analysis Reveals Novel Innate Immune Cell Types”. PeerJ 2:e452; DOI 10.7717/peerj.452, 2014.
Kniss, A., Lu, H., Jones, D.P., Kemp, M.L. “A microfluidic systems biology approach for live single-cell mitochondrial ROS imaging”. Methods in Enzymology, 526: 219-30, 2013.
White, D.E., Kinney, M.A., McDevitt, T.C., Kemp, M.L. “Spatial pattern dynamics of 3D stem cell differentiation via rules-based computational modeling.” PLoS Computational Biology, 9(3):e1002952, 2013.
Sarkar, S., Payne, C.K., Kemp, M.L. “Conditioned media downregulates expression of Nrf2”. Cellular Molecular Bioengineering, 6(2):130-137, 2013.
Nair, R. Ngangan, A.V., Kemp, M.L., McDevitt, T.C. “Gene expression signatures of extracellular matrix and growth factors during embryonic stem cell differentiation. PLoS One, 7(10): e42580, 2012.
Li, Y., Dwivedi, G., Huang, W., Kemp, M.L., Yi, Y. “Quantification of degeneracy in biological systems for characterization of functional interactions between modules”. Journal of Theoretical Biology, 302:29-38, 2012.
Dwivedi, G., Kemp, M.L. “Systemic redox regulation of cellular information processing”. Antioxidants & Redox Signaling, 16(4):374, 2012.
Platt, M.O., Kemp, M.L. “T-cell phosphokinome as a fingerprint of graft versus leukemia”. Frontiers in Bioscience, Jan 1(4):721, 2012.
Finn, N.A., Kemp, M.L. “Pro-oxidant and antioxidant effects of N-acetylcysteine regulate doxorubicin-induced NF-kB activity in leukemic cells”. Molecular Biosystems, 8(2):650, 2011.
Chung, K., Rivet, C.A., Kemp, M.L. Lu, H. “Imaging single-cell signaling dynamics with a deterministic high-density single-cell trap array”. Analytical Chemistry, 83(18):7044-52, 2011.
Kippner, L.E., Finn, N.A., Shukla, S., Kemp, M.L. “Systemic remodeling of the redox regulatory network due to RNAi perturbations of glutaredoxin 1, thioredoxin 1, and glucose-6-phosphate dehydrogenase”. BMC Systems Biology, 13(5): 164, 2011.
Finn, N.A., Findley, H.W., Kemp, M.L. “A switching mechanism in doxorubicin bioactivation can be exploited to control doxorubicin toxicity”. PLoS Computational Biology, 7(9):e1002151, 2011.
Rivet, C.A., Hill, A.S., Lu, H., Kemp, M.L. “Predicting cytotoxic T cell age from multivariate analysis of static and dynamic biomarkers” Molecular and Cellular Proteomics, 10(3), 2011.
Adimora N.J., Jones, D.P., Kemp, M.L. “A model of redox kinetics implicates the thiol proteome in cellular hydrogen peroxide responses”. Antioxidants & Redox Signaling, 13(6):731-43, 2010.
pre-2010
Hirsch, A., Rivet, C., Zhang, B., Kemp, M.L., Lu, H. “Parallel multi-time point cell stimulation and lysis on-chip for studying early signaling events in T-cell activation”, Lab on a Chip, 9:536-544, 2009.
Kemp, M., Go, Y.M., Jones, D.P. “Non-equilibrium thermodynamics of thiol/disulfide redox systems: A perspective on redox systems biology”. Free Radical Biology and Medicine, 44(6):921-37, 2008.
Wille, L., Kemp, M.L., Sandy, P., Lewis, C.L., Lauffenburger, D.A. “Epi-allelic Erk1 and Erk2 knockdown series for quantitative analysis of T cell Erk regulation and IL-2 production”. Molecular Immunology, 44(12):3085-91, 2007.
Kemp, M.L., Wille, L., Lewis, C.L., Nicholson, L., Lauffenburger, D.A. “Quantitative network signal combinations downstream of TCR activation can predict IL-2 production response”. Journal of Immunology, 178(8):4984-92, 2007.
Vinnakota, K., Kemp, M.L., Kushmerick, M.J. “Dynamics of Muscle Glycogenolysis Modeled with pH Time-Course Computation and pH Dependent Reaction Equilibria and Enzyme Kinetics”. Biophysical Journal, 91(4):1264-87, 2006.
Lambeth, M.J., Kushmerick, M.J., Marcinek, D.J., Conley, K.E. “Basal glycogenolysis in mouse skeletal muscle: in vitro model predicts in vivo fluxes”. Molecular Biology Reports, 29 (1-2):135-139, 2002.
Lambeth, M.J., Kushmerick, M.J. “A computational model for glycogenolysis in skeletal muscle”. Annals of Biomedical Engineering, 30 (6):808-827, 2002