RESUMEN

Most plasmalemmal proteins are organized into clusters to modulate various cellular functions. However, the machineries that regulate protein clustering remain largely unclear. Here, with EGFR as an example, we directly and in detail visualized the entire process of EGFR from synthesis to secretion onto the plasma membrane (PM) using a high-speed, high-resolution spinning-disk confocal microscope. First, colocalization imaging revealed that EGFR secretory vesicles underwent transport from the ER to the Golgi to the PM, eventually forming different distribution forms on the apical and basal membranes; that is, most EGFR formed larger clusters on the apical membrane than the basal membrane. A dynamic tracking image and further siRNA interference experiment confirmed that fusion of secretory vesicles with the plasma membrane led to EGFR clusters, and we showed that EGFR PM clustering may be intimately related to EGFR signaling and cell proliferation. Finally, we found that the size and origin of the secretory vesicles themselves may determine the difference in the distribution patterns of EGFR on the PM. More importantly, we showed that actin influenced the EGFR distribution by controlling the fusion of secretory vesicles with the PM. Collectively, a comprehensive understanding of the EGFR secretion process helps us to unravel the EGFR clustering process and elucidate the key factors determining the differences in the spatial distribution of EGFR PM, highlighting the correlation between EGFR secretion and its PM distribution pattern.

RESUMEN

Impaired insulin release is the key feature of type 2 diabetes. Insulin secretion, mainly mediated by SNARE proteins, is closely related to the blood glucose level. However, the mechanism underlying how glucose controls SNARE proteins to regulate insulin release is largely unexplained. Herein, we investigated the effects of glucose on the subcellular localization and spatial distribution on the plasma membrane (PM) of t-SNAREs (SNAP-25 and STX-1A) using a live-cell confocal microscope and the single-molecule localization imaging technique. Live-cell confocal and dSTORM imaging first revealed that SNAP-25 was mostly localized to the PM as clusters under the basal glucose concentration condition and demonstrated significant colocalization with STX-1A clusters. Furthermore, our data showed that the elevated glucose concentration increased the expression of SNAP-25 and induced more and larger SNAP-25 clusters on the PM, whereas glucotoxicity severely inhibited SNAP-25 transport to the PM and caused fewer and smaller SNAP-25 clusters on the PM. Additionally, we found that glucotoxicity also had an inhibitory effect on the colocalization between SNAP-25 and STX-1A, indicating a decrease of their interactions. Our study sheds light on the regulatory effects of glucose on the functional organization of t-SNAREs at a subcellular and molecular level, thus providing new insights into the mechanisms by which SNAREs regulate insulin release.

Asunto(s)

RESUMEN

Insulin receptor (INSR) is a key protein in the INSR signaling pathway and plays a critical role in biological processes, especially in the regulation of glucose homeostasis. Many metabolic diseases are often accompanied by abnormal INSR signaling. However, the specific effector mechanisms regulating insulin resistance and the distribution patterns of INSR during cell membrane activation remain unclear. Here, we investigated the changes in the distribution of INSR during activation using super-resolution imaging. By observing the connection between INSR activation and its distribution, we found that insulin resistance inhibits its receptor clustering. More importantly, we found that INSR has a highly co-localized relationship with the skeletal protein ßII-spectrin. Specific knockout of ßII-spectrin inhibited the interaction of INSR with GLUT4 and affected the normal metabolism of glucose. Our work elucidates the effects of insulin activation and insulin resistance on INSR distribution and reveals a potential relationship between INSR and cytoskeleton at the single molecule level, which promotes a deeper understanding of the roles associated with insulin signaling and insulin resistance.

Asunto(s)

RESUMEN

A major role of cell membranes is to provide an ideal environment for the constituent proteins to perform their biological functions. A deep understanding of the membrane proteins assembly process under physiological conditions is quite important to elucidate both the structure and the function of the cell membranes. Along these lines, in this work, a complete workflow of the cell membrane sample preparation and the correlated AFM and dSTORM imaging analysis methods are presented. A specially designed, angle-controlled sample preparation device was used to prepare the cell membrane samples. The correlated distributions of the specific membrane proteins with the topography of the cytoplasmic side of the cell membranes can be obtained by performing correlative AFM and dSTORM measurements. These methods are ideal for systematically studying the structure of the cell membranes. The proposed method of the sample characterization was not only limited to the measurement of the cell membrane but also can be applied for both biological tissue section analysis and detection.

RESUMEN

Membrane proteins tend to interact with each other in the cell membranes to form protein clusters and perform the corresponding physiological functions. However, because channel proteins are involved in many biological functions, their distribution and nano-organization in these protein clusters are unclear. To study the distribution patterns and relationships between the different channel proteins, we identified the locations of glucose transporter 1 (Glut1) and Band3 (anion transporter 1) precisely in the topography of the cytoplasmic side of the human red blood cell (hRBC) membranes using combined atomic force microscopy (AFM) and single-molecule localization microscopy (SMLM). The AFM results revealed that membrane proteins interacted with each other and aggregated into protein islands. The SMLM results showed that Glut1 and Band3 tended to form protein clusters in the hRBC membranes, and there was a strong colocalization between the two proteins. The results of the combined AFM and SMLM method indicated that the protein clusters of Glut1 and Band3 were mainly located in the protein islands of topography, and the protein islands in topography also interacted with each other to assemble into larger protein clusters or functional microdomains.

Asunto(s)