Connecting Longitudinal and Transverse Relaxation Rates in Live-Cell NMR
| Autor: | Fan Yang, Jens Danielsson, Mikael Oliveberg, Sarah Leeb |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Magnetic Resonance Spectroscopy
Apparent Size Population 010402 general chemistry 01 natural sciences Article Viscosity 0103 physical sciences Materials Chemistry Animals Physical and Theoretical Chemistry education Brownian motion Physics education.field_of_study 010304 chemical physics Mass distribution Relaxation (NMR) Proteins Apparent viscosity Magnetic Resonance Imaging 0104 chemical sciences Surfaces Coatings and Films Chemical physics Transient (oscillation) |
| Zdroj: | The Journal of Physical Chemistry. B |
| ISSN: | 1520-5207 1520-6106 |
| Popis: | In the cytosolic environment, protein crowding and Brownian motions result in numerous transient encounters. Each such encounter event increases the apparent size of the interacting molecules, leading to slower rotational tumbling. The extent of transient protein complexes formed in live cells can conveniently be quantified by an apparent viscosity, based on NMR-detected spin-relaxation measurements, that is, the longitudinal (T1) and transverse (T2) relaxation. From combined analysis of three different proteins and surface mutations thereof, we find that T2 implies significantly higher apparent viscosity than T1. At first sight, the effect on T1 and T2 seems thus nonunifiable, consistent with previous reports on other proteins. We show here that the T1 and T2 deviation is actually not a inconsistency but an expected feature of a system with fast exchange between free monomers and transient complexes. In this case, the deviation is basically reconciled by a model with fast exchange between the free-tumbling reporter protein and a transient complex with a uniform 143 kDa partner. The analysis is then taken one step further by accounting for the fact that the cytosolic content is by no means uniform but comprises a wide range of molecular sizes. Integrating over the complete size distribution of the cytosolic interaction ensemble enables us to predict both T1 and T2 from a single binding model. The result yields a bound population for each protein variant and provides a quantification of the transient interactions. We finally extend the approach to obtain a correction term for the shape of a database-derived mass distribution of the interactome in the mammalian cytosol, in good accord with the existing data of the cellular composition. |
| Databáze: | OpenAIRE |
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