Department of Biological Chemistry, Weizmann Institute of Science, Rehovot 76100, Israel.
Proc Natl Acad Sci U S A. 2012 Jan 31;109(5):1461-6. doi: 10.1073/pnas.1112171109. Epub 2012 Jan 17.
Historically, rate constants were determined in vitro and it was unknown whether they were valid for in vivo biological processes. Here, we bridge this gap by measuring binding dynamics between a pair of proteins in living HeLa cells. Binding of a β-lactamase to its protein inhibitor was initiated by microinjection and monitored by Förster resonance energy transfer. Association rate constants for the wild-type and an electrostatically optimized mutant were only 25% and 50% lower than in vitro values, whereas no change in the rate constant was observed for a slower binding mutant. These changes are much smaller than might be anticipated considering the high macromolecular crowding within the cell. Single-cell analyses of association rate constants and fluorescence recovery after photobleaching reveals a naturally occurring variation in cell density, which is translated to an up to a twofold effect on binding rate constants. The data show that for this model protein interaction the intracellular environment had only a small effect on the association kinetics, justifying the extrapolation of in vitro data to processes in the cell.
从历史上看,速率常数是在体外确定的,人们不知道它们是否适用于体内的生物过程。在这里,我们通过测量活 HeLa 细胞中一对蛋白质之间的结合动力学来弥补这一差距。通过显微注射启动β-内酰胺酶与其蛋白抑制剂的结合,并通过Förster 共振能量转移进行监测。野生型和静电优化突变体的结合速率常数仅比体外值低 25%和 50%,而结合较慢的突变体的速率常数没有变化。考虑到细胞内的高分子拥挤程度很高,这些变化比预期的要小得多。对结合速率常数的单细胞分析和光漂白后荧光恢复表明,细胞密度存在自然变化,这会对结合速率常数产生高达两倍的影响。这些数据表明,对于这种模型蛋白相互作用,细胞内环境对结合动力学的影响很小,这证明了将体外数据外推到细胞内过程的合理性。