Binding of epidermal growth factor (EGF) to its receptor induces rapid internalization and degradation of both ligand and receptor via the lysosomal pathway. To study the mechanism of intracellular sorting of EGF-EGF receptor complexes to lysosomes, NIH 3T3 cells transfected with wild-type and mutant EGF receptors were employed. The kinetics of 125I-EGF trafficking was analyzed using low concentrations of the ligand to avoid saturation of the specific sorting system. The relative size of the pool of internalized 125I-EGF-receptor complexes that were capable of recycling decreased as receptors traversed the endosomal system. The rate of 125I-EGF sequestration from the recycling pathway correlated with the rate of 125I-EGF transition from early to late endosomes as measured by Percoll gradient fractionation. Deletion of the last 63 amino acids of the EGF receptor cytoplasmic tail did not inhibit the process of sequestration and targeting to the late endosomes and lysosomes. Truncation of the 123 residues, however, resulted in impaired lysosomal targeting and increased recycling of EGF. Receptor mutant in which 165 residues were deleted displayed maximal ability to recycle and a minimal extent of sorting to the late endosomes. The data suggest that two regions of the EGF receptor molecule, residues 1022-1063 and to a lesser extent residues 1063-1123, contribute in the regulation of routing of EGF receptors to the degradation pathway. The kinase-negative receptor mutant recycled EGF more intensively compared with the wild-type receptor, and the transport of this mutant to late endosomes was inhibited. These results support the view that the receptor kinase activity is important for ligand-induced sorting of EGF receptors to the pathway of lysosomal degradation.

Early endosomes, regarded as the main sorting station on endocytic pathway, are characterized by high frequency of homotypic fusions mediated by tethering protein EEA1. Despite intensive investigations, biogenesis of endosomes, boundaries between early and late endosomes, and process of cargo transition though them remain obscure. Here, using EGF/EGFR endocytosis as a model and confocal microscopy of fixed and live cells, we provide evidence favoring EEA1-vesicles being pre-existed vesicular compartment, that maintains its resident proteins’ level and is sensitive to biosynthetic, but not endocytic pathway disturbance. EEA1-vesicles directly fuse with incoming EGF/EGFR-vesicles into hybrid endosomes with separated EEA1- and EGFR-domains, thus providing a platform for rapid achievement of an excess of surface-derived membrane that is used to form intraluminal vesicles (ILVs). Thus, multivesicular structures colocalized with EEA1 are still early endosomes. “EEA1-cycle” ends by exclusion of EGFR-containing domains with ILVs inside that turns into MVE and restoration of initial EEA1-vesicles population.

In this report, we present implementation and validation of machine-learning classifiers for distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis, apoptosis) based on the analysis of optical parameters derived from cell phase images. Validation of the developed classifier shows the accuracy for distinguishing between the three cell types of about 93% and between different cell states of the same cell line of about 89%. In the field test of the developed algorithm, we demonstrate successful evaluation of the temporal dynamics of relative amounts of live, apoptotic and necrotic cells after photodynamic treatment at different doses.