Keara Lane Assistant Professor

Research Interests

Bacterial infections are dynamic and heterogeneous, yet the bulk of our understanding of infectious disease has come from static, population-level measurements. What if we could just watch host and pathogen responses in individual cells as an infection progresses – what would we learn about infection? The Lane lab is focused on developing tools and approaches to explore the time dimension, or dynamics, of bacterial infection in individual cells. We take an interdisciplinary approach, integrating live-cell microscopy with global single-cell profiling technologies to make quantitative, dynamic, single-cell measurements during bacterial infection. Our goal is to determine how decisions made in individual host and bacterial cells influence infection outcome, with the long-term goal of identifying novel strategies to engineer cellular behavior to control infection outcome.


Selected Publications

Navigating environmental transitions: the role of phenotypic variation in bacterial responses. Spratt M, Lane K.M. mBio. 2022. e0221222.

Mechanically resolved imaging of bacteria using expansion microscopy. Lim Y, Shiver AL, Khariton M, Lane K.M., Ng KM, Bray SR, Qin J, Huang KC, and Wang B. PLoS Biology. 2019 October 17;17(10):e3000268.

Escalating Threat Levels of Bacterial Infection Can Be Discriminated by Distinct MAPK and NF-κB Signaling Dynamics in Single Host Cells. Lane K.M., Andres-Terre M, Kudo T, Monack DM, and Covert MW. Cell Systems. 2019 March 27;8(3):183-196.e4.

Combinatorial processing of bacterial and host-derived innate immune stimuli at the single-cell level. Gutschow MV, Mason JC, Lane K.M., Maayan I, Hughey JJ, Bajar BT, Amatya DN, Valle SD, and Covert MW. Molecular Biology of the Cell. 2019 January 15;30(2):282-292.

Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation. Lane K.M., Van Valen D, DeFelice MM, Macklin DN, Kudo T, Jaimovich A, Carr A, Meyer T, Pe'er D, Boutet SC, and Covert MW. Cell Systems. 2017 April 26;4(4):458-469.e5.

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. Van Valen DA, Kudo T, Lane K.M., Macklin DN, Quach NT, DeFelice MM, Maayan I, Tanouchi Y, Ashley EA, and Covert MW. PLoS Computational Biology. 2016 November 4;12(11):e1005177.


View all publications by Keara Lane listed in the National Library of Medicine (PubMed).