plosPLoS Comput BiolploscompPLoS Computational Biology1553-734X1553-7358Public Library of ScienceSan Francisco, USAPCOMPBIOL-D-14-0140710.1371/journal.pcbi.1003832CorrectionCorrection: The Self-Limiting Dynamics of TGF-β Signaling In Silico and In Vitro, with Negative Feedback through PPM1A UpregulationThe PLOS Computational Biology Staff82014882014108e10038322014The PLOS Computational Biology StaffThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.The Self-Limiting Dynamics of TGF-β Signaling In Silico and In Vitro, with Negative Feedback through PPM1A Upregulation
There are affiliations missing for the corresponding author. The full affiliation for Hanry Yu should read:
Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research, Singapore, Computational and Systems Biology, Singapore-MIT Alliance, Singapore, BioSyM, Singapore-MIT Alliance for Research and Technology, Singapore, Mechanobiology Institute, Singapore, NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Department of Physiology, National University of Singapore, Singapore, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
ReferenceWangJ, Tucker-KelloggL, NgIC, JiaR, ThiagarajanPS, et al. (2014) The Self-Limiting Dynamics of TGF-β Signaling In Silico and In Vitro, with Negative Feedback through PPM1A Upregulation. 10(6): e1003573doi:10.1371/journal.pcbi.1003573