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The non-specific endocytic pathway of macropinocytosis allows cells to internalize a variety of extracellular components, including nutrients, proteins, antigens, and pathogens, through bulk uptake of extracellular fluid and its constituents1. Though important for the biology of numerous cell types, increasingly, the macropinocytosis pathway is described to play an essential role in tumor biology, where, through macropinocytic uptake, tumor cells are able to survive and proliferate in the presence of a nutrient-depleted microenvironment2,3. The uptake of extracellular macromolecules, including albumin and extracellular matrix, and necrotic cell debris, provides an alternative nutrient source for biomass production by creating amino acids, sugars, lipids and nucleotides through macropinosome and lysosome fusion-mediated cargo catabolism4,5,6,7,8.
The induction and regulation of macropinocytosis are complex and can vary depending on cellular context. Thus far, several inducers of macropinocytosis have been identified and include ligands, such as epidermal growth factor (EGF), platelet-derived growth factor (PDGF), galectin-3, and Wnt3A9,10,11,12,13. In addition, culturing conditions that mimic the tumor microenvironment can trigger activation of the pathway. Pancreatic ductal adenocarcinoma (PDAC) tumors are nutrient-deprived, especially for the amino acid glutamine, which causes both cancer cells and cancer-associated fibroblasts (CAFs) to rely on macropinocytosis for survival7,13,14,15. Moreover, tumor stresses, such as hypoxia and oxidative stress, can activate this scavenging pathway16. In addition to the numerous extrinsic influencers that can induce macropinocytosis, a variety of intracellular pathways control macropinosome formation. Oncogenic Ras-mediated transformation is sufficient to initiate the macropinocytic machinery, and multiple cancer types exhibit oncogenic Ras-driven constitutive macropinocytosis4,5,9,17. Alternatively, wild-type Ras activation and Ras-independent pathways have been identified to activate macropinocytosis in cancer cells and CAFs10,11,15,18. The use of various in vitro models in combination with inhibitor treatments has resulted in the identification of several macropinocytosis modulators, which include sodium-hydrogen exchangers, the small GTPase Rac1, phosphoinositide 3-kinase (PI3K), p21-activated kinase (Pak), and AMP-activated protein kinase (AMPK)4,13,15. However, given the multitude of described factors and conditions that regulate macropinocytosis, it is conceivable that many more modulators and stimuli remain undiscovered. The identification of novel modulators and stimuli can be facilitated by automated assessment of a multitude of conditions in a single experiment. This methodology can shed light on the factors involved in macropinosome formation and may allow for the discovery of novel small molecules or biologics that target this pathway.
Here, we have adapted our previously established protocol for determining the extent of macropinocytosis in cancer cells in vitro to a 96-well microplate format and automated imaging and quantification19,20. This protocol is based on fluorescent microscopy, which has become a standard in the field to determine macropinocytosis in vitro and in vivo4,5,6,7,9,10,11,12,13,15,16,17,18,19,20,21,22. Macropinosomes can be distinguished from other endocytic pathways through their ability to internalize large macromolecules, such as high molecular weight dextran (i.e., 70 kDa)2,3,4,20,21,22,23. Thus, macropinosomes can be defined through uptake of extracellularly administered fluorophore-labeled 70 kDa dextran. As a result, macropinocytic vesicles manifest as intracellular clusters of fluorescent puncta with sizes ranging from 0.2-5 µm. These puncta can be microscopically imaged and subsequently quantified to determine the extent of macropinocytosis in the cell - 'the macropinocytic index'.
In this protocol, the essential steps to visualize macropinosomes in adherent cells in vitro on a 96-well microplate and coverslips using standard laboratory equipment are described (Figure 1). In addition, the directions to automate the image acquisition and quantification of the macropinocytic index using a cell imaging multi-mode plate reader are provided. This automation reduces time, cost, and effort compared to our previously described protocols19,20. In addition, it avoids unintentionally biased imaging acquisition and analysis and thereby enhances reproducibility and reliability. This method can easily be adapted to different cell types or plate readers or be utilized to determine alternative macropinosome features, such as size, number, and location. The herein described method is especially suitable for the screening of cell culture conditions that induce macropinocytosis, the identification of novel modulators, or optimization of drug concentrations of known inhibitors.

Figure 1: Schematic of the automated assay to determine the 'macropinocytic index' in adherent cells. Created using BioRender. Please click here to view a larger version of this figure.