L. Alamillo, D. C. Ng, J. Currie, A. Black, B. Pandi, V. Manda, J. Pavelka, P. Schaal, J. G. Travers, T. A. McKinsey, M. P. Lam, and E. Lau. Deuterium labeling enables proteome-wide turnover kinetics analysis in cell culture. Cell Reports Methods, volume 5, issue 7, pages 101104, July 2025.

J. Currie, D. C. M. Ng, B. Pandi, A. Black, Manda V, C. Durham, J. Pavelka, M. P. Y. Lam, and E. Lau. Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection. Journal of Proteome Research, March 2025.

J. Currie, V. Manda, S. K. Robinson, C. Lai, V. Agnihotri, V. Hidalgo, R. W. Ludwig, K. Zhang, J. Pavelka, Z. V. Wang, J. W. Rhee, M. P. Y. Lam, and E. Lau. Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions. Nat Commun, volume 15, issue 1, pages 2207, March 2024.

V. Hidalgo, N. Kastury, C. W. Durham, J. Currie, M. Amaya, M. P. Y. Lam, and E. Lau. Co-culture with normal and senescent AC16 cardiomyocytes modulates fibrotic response in primary human ventricular fibroblasts. MicroPubl Biol, volume 2023, June 2023.

H. Srivastava, M. J. Lippincott, J. Currie, R. Canfield, M. P. Y. Lam, and E. Lau. Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners. PLoS Comput Biol, volume 18, issue 11, pages e1010702, November 2022.