Literature DB >> 31560005

Quantitative profiling of integrin αvβ3 on single cells with quantum dot labeling to reveal the phenotypic heterogeneity of glioblastoma.

Tingting Wang1, Guang Li, Dianbing Wang, Feng Li, Dong Men, Tao Hu, Yan Xi, Xian-En Zhang.   

Abstract

The distribution, localization and density of individual molecules (e.g. drug-specific receptors) on single cells can offer profound information about cell phenotypes. Profiling this information is a new research direction within the field of single cell biology, but it remains technically challenging. Through the combined use of quantum dot labeling, structured illumination microscopy (SIM) and computer-aided local surface reconstruction, we acquired a 3D imaging map of a drug target molecule, integrin αvβ3, on glioblastoma cells at the single cell level. The results revealed that integrin αvβ3 exhibits discrete distribution on the surface of glioblastoma cells, with its density differing significantly among cell lines. The density is illustrated as the approximate number of target molecules per μm2 on the irregular cell surface, ranging from 0 to 1.6. Functional studies revealed that the sensitivity of glioblastoma cells to inhibitor molecules depends on the density of the target molecules. After inhibitor treatment, the viability and invasion ability of different glioblastoma cells were highly correlated with the density of integrin αvβ3 on their surfaces. This study not only provides a novel protocol for the quantitative analysis of surface proteins from irregular single cells, but also offers a clue for understanding the heterogeneity of tumor cells on the basis of molecular phenotypes. Thus, this work has potential significance in guiding targeted therapies for cancers.

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Year:  2019        PMID: 31560005     DOI: 10.1039/c9nr01105f

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

Review 1.  Fluorescent Nanoparticles for Super-Resolution Imaging.

Authors:  Wei Li; Gabriele S Kaminski Schierle; Bingfu Lei; Yingliang Liu; Clemens F Kaminski
Journal:  Chem Rev       Date:  2022-06-27       Impact factor: 72.087

2.  Advancing cell instructive biomaterials through increased understanding of cell receptor spacing and material surface functionalization.

Authors:  Stephanie A Maynard; Charles W Winter; Eoghan M Cunnane; Molly M Stevens
Journal:  Regen Eng Transl Med       Date:  2020-11-20

3.  [99mTc]Tc-Galacto-RGD2 integrin αvβ3-targeted imaging as a surrogate for molecular phenotyping in lung cancer: real-world data.

Authors:  Jingjing Fu; Yan Xie; Tong Fu; Fan Qiu; Fei Yu; Wei Qu; Xiaochen Yao; Aiping Zhang; Zhenhua Yang; Guoqiang Shao; Qingle Meng; Xiumin Shi; Yue Huang; Wei Gu; Feng Wang
Journal:  EJNMMI Res       Date:  2021-06-13       Impact factor: 3.138

  3 in total

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