NDLI: Rare osteosarcoma cell subpopulation protein array and profiling using imaging mass cytometry and bioinformatics analysis

Content Provider	Springer Nature : BioMed Central
Author	Batth, Izhar S. Meng, Qing Wang, Qi Torres, Keila E. Burks, Jared Wang, Jing Gorlick, Richard Li, Shulin
Abstract	Background Single rare cell characterization represents a new scientific front in personalized therapy. Imaging mass cytometry (IMC) may be able to address all these questions by combining the power of MS-CyTOF and microscopy. Methods We have investigated this IMC method using < 100 to up to 1000 cells from human sarcoma tumor cell lines by incorporating bioinformatics-based t-Distributed Stochastic Neighbor Embedding (t-SNE) analysis of highly multiplexed IMC imaging data. We tested this process on osteosarcoma cell lines TC71, OHS as well as osteosarcoma patient-derived xenograft (PDX) cell lines M31, M36, and M60. We also validated our analysis using sarcoma patient-derived CTCs. Results We successfully identified heterogeneity within individual tumor cell lines, the same PDX cells, and the CTCs from the same patient by detecting multiple protein targets and protein localization. Overall, these data reveal that our t-SNE-based approach can not only identify rare cells within the same cell line or cell population, but also discriminate amongst varied groups to detect similarities and differences. Conclusions This method helps us make greater inroads towards generating patient-specific CTC fingerprinting that could provide an accurate tumor status from a minimally-invasive liquid biopsy.
Related Links	https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-020-07203-7.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	14712407
DOI	10.1186/s12885-020-07203-7
Journal	BMC Cancer
Issue Number	1
Volume Number	20
Language	English
Publisher	BioMed Central
Publisher Date	2020-07-31
Access Restriction	Open
Subject Keyword	Cancer Research Oncology Surgical Oncology Health Promotion and Disease Prevention Biomedicine Medicine Public Health Imaging mass cytometry (IMC) Circulating tumor cells (CTCs) T-distributed stochastic neighbor embedding (t-SNE) Patient-derived xenograft (PDX) Copy number variations (CNV) Fluorescence associated cell-sorting (FACS) Fine needle aspirates (FNA) Cytometry time-of-flight (CyTOF) Cell surface vimentin (CSV) Smooth muscle actin (SMA) Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology Genetics
Journal Impact Factor	3.4/2023
5-Year Journal Impact Factor	3.8/2023

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