Unraveling cell populations in tumors by single-cell mass cytometry. Di Palma, S. & Bodenmiller, B. Current Opinion in Biotechnology, August, 2014. 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}
}
Downloads: 0
{"_id":"YKaPpd62AWJ8D8JWm","bibbaseid":"dipalma-bodenmiller-unravelingcellpopulationsintumorsbysinglecellmasscytometry-2014","downloads":0,"creationDate":"2015-12-06T02:40:36.497Z","title":"Unraveling cell populations in tumors by single-cell mass cytometry","author_short":["Di Palma, S.","Bodenmiller, B."],"year":2014,"bibtype":"article","biburl":"https://www.dropbox.com/s/6cn84hmkr6b4v53/cytof-uk.bib?dl=1","bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Di","Palma"],"firstnames":["Serena"],"suffixes":[]},{"propositions":[],"lastnames":["Bodenmiller"],"firstnames":["Bernd"],"suffixes":[]}],"month":"August","year":"2014","bibtex":"@article{di_palma_unraveling_2014,\n\ttitle = {Unraveling cell populations in tumors by single-cell mass cytometry},\n\tissn = {0958-1669},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0958166914001323},\n\tdoi = {10.1016/j.copbio.2014.07.004},\n\tabstract = {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.},\n\turldate = {2014-08-27},\n\tjournal = {Current Opinion in Biotechnology},\n\tauthor = {Di Palma, Serena and Bodenmiller, Bernd},\n\tmonth = aug,\n\tyear = {2014}\n}\n\n","author_short":["Di Palma, S.","Bodenmiller, B."],"key":"di_palma_unraveling_2014","id":"di_palma_unraveling_2014","bibbaseid":"dipalma-bodenmiller-unravelingcellpopulationsintumorsbysinglecellmasscytometry-2014","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S0958166914001323"},"metadata":{"authorlinks":{}}},"search_terms":["unraveling","cell","populations","tumors","single","cell","mass","cytometry","di palma","bodenmiller"],"keywords":[],"authorIDs":[],"dataSources":["ecCZozqh2XtJTyxgF"]}