Unraveling cell populations in tumors by single-cell mass cytometry. Di Palma, S. & Bodenmiller, B. Current Opinion in Biotechnology, August, 2014.
Unraveling cell populations in tumors by single-cell mass cytometry [link]Paper  doi  abstract   bibtex   
The development of new biotechnologies for the analysis of individual cells in heterogeneous populations is an important direction of life science research. This review provides a critical overview of relevant and recent advances in the field of single-cell mass cytometry, focusing on the latest applications in the study of cell heterogeneity. New approaches for multiparameter single-cell imaging, alongside advanced computational tools for deep mining of high-dimensional mass cytometric data, are facilitating the visualization of specific cell types and their interactions in complex cellular assemblies, such as tumors, potentially revealing new insights into cancer biology.
@article{di_palma_unraveling_2014,
	title = {Unraveling cell populations in tumors by single-cell mass cytometry},
	issn = {0958-1669},
	url = {http://www.sciencedirect.com/science/article/pii/S0958166914001323},
	doi = {10.1016/j.copbio.2014.07.004},
	abstract = {The development of new biotechnologies for the analysis of individual cells in heterogeneous populations is an important direction of life science research. This review provides a critical overview of relevant and recent advances in the field of single-cell mass cytometry, focusing on the latest applications in the study of cell heterogeneity. New approaches for multiparameter single-cell imaging, alongside advanced computational tools for deep mining of high-dimensional mass cytometric data, are facilitating the visualization of specific cell types and their interactions in complex cellular assemblies, such as tumors, potentially revealing new insights into cancer biology.},
	urldate = {2014-08-27},
	journal = {Current Opinion in Biotechnology},
	author = {Di Palma, Serena and Bodenmiller, Bernd},
	month = aug,
	year = {2014}
}

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