TY - JOUR
T1 - Physicochemical code for quinary protein interactions in Escherichia coli
AU - Mu, Xin
AU - Choi, Seongil
AU - Lang, Lisa
AU - Mowray, David
AU - Dokholyan, Nikolay V.
AU - Danielsson, Jens
AU - Oliveberg, Mikael
N1 - Funding Information:
We thank Håkan Wennerström for valuable discussions. We thank Kjell Hultenby (Karolinska University Hospital at Huddinge) for help with the transmission electron microscopy. Support was provided by the Swedish Research Council, Hjärnfonden, the Knut and Alice Wallenberg Foundation, the Magnus Bergwall Foundation, the Bertil Hållsten Foundation, and by National Institutes of Health Grant R01GM080742 (to N.V.D.).
PY - 2017/6/6
Y1 - 2017/6/6
N2 - How proteins sense and navigate the cellular interior to find their functional partners remains poorly understood. An intriguing aspect of this search is that it relies on diffusive encounters with the crowded cellular background, made up of protein surfaces that are largely nonconserved. The question is then if/how this protein search is amenable to selection and biological control. To shed light on this issue, we examined the motions of three evolutionary divergent proteins in the Escherichia coli cytoplasm by in-cell NMR. The results show that the diffusive in-cell motions, after all, follow simplistic physicalchemical rules: The proteins reveal a common dependence on (i) net charge density, (ii) surface hydrophobicity, and (iii) the electric dipole moment. The bacterial protein is here biased to move relatively freely in the bacterial interior, whereas the human counterparts more easily stick. Even so, the in-cell motions respond predictably to surface mutation, allowing us to tune and intermix the protein's behavior at will. The findings show how evolution can swiftly optimize the diffuse background of protein encounter complexes by just single-point mutations, and provide a rational framework for adjusting the cytoplasmic motions of individual proteins, e.g., for rescuing poor in-cell NMR signals and for optimizing protein therapeutics.
AB - How proteins sense and navigate the cellular interior to find their functional partners remains poorly understood. An intriguing aspect of this search is that it relies on diffusive encounters with the crowded cellular background, made up of protein surfaces that are largely nonconserved. The question is then if/how this protein search is amenable to selection and biological control. To shed light on this issue, we examined the motions of three evolutionary divergent proteins in the Escherichia coli cytoplasm by in-cell NMR. The results show that the diffusive in-cell motions, after all, follow simplistic physicalchemical rules: The proteins reveal a common dependence on (i) net charge density, (ii) surface hydrophobicity, and (iii) the electric dipole moment. The bacterial protein is here biased to move relatively freely in the bacterial interior, whereas the human counterparts more easily stick. Even so, the in-cell motions respond predictably to surface mutation, allowing us to tune and intermix the protein's behavior at will. The findings show how evolution can swiftly optimize the diffuse background of protein encounter complexes by just single-point mutations, and provide a rational framework for adjusting the cytoplasmic motions of individual proteins, e.g., for rescuing poor in-cell NMR signals and for optimizing protein therapeutics.
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U2 - 10.1073/pnas.1621227114
DO - 10.1073/pnas.1621227114
M3 - Article
C2 - 28536196
AN - SCOPUS:85020409115
SN - 0027-8424
VL - 114
SP - E4556-E4563
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 23
ER -