Love

J. Christopher Love, B.S., PhD

Lab Info:

Principal Investigator: J. Christopher Love, B.S., PhD

Office/Location: MIT 76-253

Phone: (617) 324-2300

Email: clove@mit.edu

Category: Associate Members

J. Christopher Love is an Associate Professor in Chemical Engineering at MIT, a member of the Koch Institute for Integrative Cancer Research, an associate member at the Eli and Edythe L. Broad Institute, and an associate faculty at the Ragon Institute of MGH, MIT, and Harvard.

 

Dr. Love graduated with a B.S. degree in chemistry from the University of Virginia in 1999 and received his Ph.D. in 2004 in physical chemistry at Harvard University under the supervision of George Whitesides. Following completion of his doctoral studies, he extended his research into immunology at Harvard Medical School with Hidde Ploegh from 2004-2005, and at the Immune Disease Institute from 2005-2007. Dr. Love was a W.M. Keck Distinguished Young Scholar for Medical Research and a Dana Scholar for Human Immunology in 2009, a Life Sciences Research Foundation Postdoc Fellow (Gilead Sciences) in 2004, and a National Defense Science and Engineering Graduate Fellow from 1999-2002. He was also awarded the Foresight Distinguished Student Award in Nanotechnology in 2000.
Laboratory website

 

Research

Our interdisciplinary, team-oriented research combines principles from chemical engineering, interfacial chemistry, and materials science to develop new micro- and nanotechnologies for addressing biological questions in immunology, microbiology, systems biology, and bioprocess engineering. One broad research objective is to improve the design and implementation of quantitative bioanalytical processes in order to maximize the knowledge gained about the heterogeneities and dynamics of individual cells within a complex population. We employ these processes to characterize the pathogenesis and immunomodulation of complex immune responses in chronic human diseases, such as HIV/AIDS, multiple sclerosis, Type 1 diabetes, food allergies, and cancer.

 

We are exploring the heterogeneity present in populations of cells and characterizing the dynamic biological responses of individual cells subjected to defined perturbations. The Lab has developed a new approach called integrated single-cell analysis (iSCA) that allows the design and implementation of efficient and economical bioanalytical processes for analyzing large numbers of individual living cells quantitatively and dynamically. The Lab innovates and uses simple modular operations employing micro- and nanotechnologies to measure multiple characteristics of single cells. From the multidimensional data acquired, we aim to construct detailed profiles that describe the state and evolution of the cells themselves or the multicellular population of which it is a member. We employ these processes to characterize the pathogenesis and immunomodulation of complex immune responses in chronic human diseases, such as HIV/AIDS, multiple sclerosis, Type 1 diabetes, food allergies, and cancer. The Lab also seeks to improve the methods for discovering and manufacturing immunotherapeutics, such as monoclonal antibodies.

Publications of Interest

1. Story, C. M., Papa, E., Hu, C.-C. A., Ronan, J. L., Ploegh, H. L. & Love, J. C. Profiling antibody responses by multiparametric analysis of single B cells. Proc. Natl. Acad. Sci. U. S. A. 105, 17902-17907 (2008).
2. Ogunniyi, A. O., Story, C.M., Papa, E., Guillen, E., & Love, J.C. Screening individual hybridomas by microengraving to discover monoclonal antibodies. Nature Protocols 4, 767-782 (2009).
3. Love, K.R., Panagiotou, V., Jiang, B., Stadheim, T.A. & Love, J.C. Integrated single-cell analysis shows Pichia pastoris secretes protein stochastically. Biotechnol. Bioeng. 106 (2), 319-325 (2010).
4. Han, Q., Bradshaw, E.M., Nilsson, B., Hafler, D.A. & Love, J.C. Multidimensional analysis of the frequencies and rates of cytokine secretion from single cells by quantitative microengraving. Lab Chip 10, 1391-1400 (2010).
5. Gong, Y., Ogunniyi, A.O. & Love, J.C. Massively parallel detection of gene expression in single cells using subnanoliter wells. Lab Chip 10, 2334-2337 (2010).
6. Love, J.C. Integrated process design for single-cell analytical technologies. AIChE J. 56, 2496-2502 (2010).