Quantitation of Macropinocytosis in Glioblastoma Based on High-Content Analysis
Quantitation of Macropinocytosis in Glioblastoma Based on High-Content Analysis
复制标题
基于高内涵分析的胶质母细胞瘤巨胞饮定量
DOI：
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发表时间：
2021
影响因子：
3
通讯作者：
G. Yuan
中科院分区：
文献类型：
--
作者：
Bo Wang;X. Yao;Q. Dong;Xiao;Hang Yin;Qiao Li;Xiao;Yang Liu;Yanmo Pan;G. Yuan
背景
BACKGROUND
Macropinocytosis is a pathway utilized for the internalization of extracellular fluid, albumin and dissolved molecules. Assessing macropinocytosis has been challenging in the past because the combination of manual acquisition and visual evaluation of images is laborious, making this type of assessment difficult for high-throughput applications. Therefore, there is a need to develop sensitive and specific macropinocytosis evaluation methods.
METHODS
This paper proposed a quantitative and time-saving method for macropinocytosis detection based on high-content analysis (HCA). Additionally, cell proliferation was evaluated using CCK8 test.
RESULTS
The term "macropinosome index" was defined to estimate macropinocytosis and allow comparisons between different cell lines and treatments. Furthermore, we demonstrated that macropinocytosis can promote glioblastoma (GBM) cell survival under L-glutamine (L-Gln)-deficient conditions that resemble the tumour microenvironment.
CONCLUSIONS
HCA represents a novel, nonsubjective and high-throughput assay for macropinocytosis assessment. In addition, L-Gln deprivation increased the macropinosome index in GBM cells, suggesting that this process may be used to design GBM therapies.
AVAILABILITY OF DATA AND MATERIALS
The datasets supporting the conclusions of this article are included within the article and its supplementary materials.
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影响因子：
11.2
作者：
Kamphorst JJ;Nofal M;Commisso C;Hackett SR;Lu W;Grabocka E;Vander Heiden MG;Miller G;Drebin JA;Bar-Sagi D;Thompson CB;Rabinowitz JD
通讯作者：
Rabinowitz JD
影响因子：
28.2
作者：
Kim SM;Nguyen TT;Ravi A;Kubiniok P;Finicle BT;Jayashankar V;Malacrida L;Hou J;Robertson J;Gao D;Chernoff J;Digman MA;Potma EO;Tromberg BJ;Thibault P;Edinger AL
通讯作者：
Edinger AL
影响因子：
11.8
作者：
Lee, Szu-Wei;Zhang, Yijuan;Commissol, Cosimo
通讯作者：
Commissol, Cosimo
影响因子：
16
作者：
Reid, Michael A.;Wang, Wen-I;Kong, Mei
通讯作者：
Kong, Mei