The influence of cell morphology on microfluidic single cell analysis.
Xuxin ZhangYanzhao LiHanshu FangHongquan WeiYing MuMing-Fei LangJing SunPublished in: RSC advances (2018)
Microfluidics has been widely used in single cell analysis. Current protocols allow either spread or round cells to be analyzed. However, the contribution of cell morphology to single cell analysis has not been noted. In this study, four proteins (EGFR, PTEN, pAKT, and pS6) in the EGFR signaling pathway are measured simultaneously using microfluidic image cytometry (MIC) in glioblastoma cells U87. The results show that the MIC technology can reveal different subsets of cells corresponding to the four protein expression levels no matter whether they are round or spread at the time of the measurements. However, sharper distinction is obtained from round cells, which implies that cellular heterogeneity can be better resolved with round cells during in situ protein quantification by imaging cytometry. This study calls attention to the role of cell morphology in single cell analysis. Future studies should examine whether differences in data interpretation resulting from cell morphology could reveal altered biological meanings.
Keyphrases
- single cell
- rna seq
- induced apoptosis
- high throughput
- cell cycle arrest
- signaling pathway
- small cell lung cancer
- endoplasmic reticulum stress
- pi k akt
- oxidative stress
- gene expression
- cell death
- mesenchymal stem cells
- cell proliferation
- small molecule
- epithelial mesenchymal transition
- dna methylation
- working memory
- genome wide
- mass spectrometry
- electronic health record
- deep learning
- big data
- binding protein
- protein protein