Podocalyxin (PC), the major sialoprotein of glomerular epithelial cells (GECs), helps maintain the characteristic architecture of the foot processes and the patency of the filtration slits. PC associates with actin via ezrin, a member of the ERM family of cytoskeletal linker proteins. Here we show that PC is linked to ezrin and the actin cytoskeleton via Na+/H+-exchanger regulatory factor 2 (NHERF2), a scaffold protein containing two PDZ (PSD-95/Dlg/ZO-1) domains and an ERM-binding region. The cytoplasmic tail of PC contains a C-terminal PDZ-binding motif (DTHL) that binds to the second PDZ domain of NHERF2 in yeast two-hybrid and in vitro pull-down assays. By immunocytochemistry NHERF2 colocalizes with PC and ezrin along the apical domain of the GEC plasma membrane. NHERF2 and ezrin form a multimeric complex with PC, as they coimmunoprecipitate with PC. The PC/NHERF2/ezrin complex interacts with the actin cytoskeleton, and this interaction is disrupted in GECs from puromycin aminonucleoside–, protamine sulfate–, or sialidase-treated rats, which show a dramatic loss of foot processes, comparable to that seen in the nephrotic syndrome. Thus NHERF2 appears to function as a scaffold protein linking PC to ezrin and the actin cytoskeleton. PC/NHERF2/ezrin/actin interactions are disrupted in pathologic conditions associated with changes in GEC foot processes, indicating their importance for maintaining the unique organization of this epithelium.
Tetsuro Takeda, Tammie McQuistan, Robert A. Orlando, Marilyn G. Farquhar
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 557 | 116 |
79 | 45 | |
Figure | 459 | 25 |
Citation downloads | 56 | 0 |
Totals | 1,151 | 186 |
Total Views | 1,337 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.