RESUMO
Nerve growth factor (NGF) is a member of the neurotrophins, which are important regulators of embryonic development and adult function in the vertebrate nervous systems. The signaling elicited by NGF regulates diverse activities, including survival, axon growth, and synaptic plasticity. NGF action is mediated by engagement with two structurally unrelated transmembrane receptors, p75(NTR) and TrkA, which are co-expressed in a variety of cells. The functional interactions of these receptors have been widely demonstrated and include complex formation, convergence of signaling pathways, and indirect interaction through adaptor proteins. Each domain of the receptors was shown to be important for the formation of TrkA and p75(NTR) complexes, but only the intramembrane and transmembrane domains seemed to be crucial for the creation of high-affinity binding sites. However, whether these occur through a physical association of the receptors is unclear. In the present work, we demonstrate by Förster resonance energy transfer that p75(NTR) and TrkA are physically associated through their intracellular (IC) domains and that this interaction occurs predominantly at the cell membrane and prior to NGF stimulation. Our data suggest that there is a pool of receptors dimerized before NGF stimulus, which could contribute to the high-affinity binding sites. We modeled the three-dimensional structure of the TrkA IC domain by homology modeling, and with this and the NMR-resolved structure of p75(NTR), we modeled the heterodimerization of TrkA and p75(NTR) by docking methods and molecular dynamics. These models, together with the results obtained by Förster resonance energy transfer, provide structural insights into the receptors' physical association.
Assuntos
Fator de Crescimento Neural/química , Receptor de Fator de Crescimento Neural/química , Receptor trkA/química , Animais , Biologia Computacional , Transferência Ressonante de Energia de Fluorescência , Hipocampo/química , Camundongos , Células PC12 , Ligação Proteica , Domínios e Motivos de Interação entre Proteínas , Ratos , Homologia Estrutural de ProteínaRESUMO
The subcellular localization and physiological functions of biomolecules are closely related and thus it is crucial to precisely determine the distribution of different molecules inside the intracellular structures. This is frequently accomplished by fluorescence microscopy with well-characterized markers and posterior evaluation of the signal colocalization. Rigorous study of colocalization requires statistical analysis of the data, albeit yet no single technique has been established as a standard method. Indeed, the few methods currently available are only accurate in images with particular characteristics. Here, we introduce a new algorithm to automatically obtain the true colocalization between images that is suitable for a wide variety of biological situations. To proceed, the algorithm contemplates the individual contribution of each pixel's fluorescence intensity in a pair of images to the overall Pearsons correlation and Manders' overlap coefficients. The accuracy and reliability of the algorithm was validated on both simulated and real images that reflected the characteristics of a range of biological samples. We used this algorithm in combination with image restoration by deconvolution and time-lapse confocal microscopy to address the localization of MEK1 in the mitochondria of different cell lines. Appraising the previously described behavior of Akt1 corroborated the reliability of the combined use of these techniques. Together, the present work provides a novel statistical approach to accurately and reliably determine the colocalization in a variety of biological images.