The combination of machine-learning tools and mass-cytometry measurements of more than 30 protein markers per cell comprehensively maps cell identity in the heterogeneous myeloid cell system and reveals the global effect of deletion of the gene encoding the receptor for the growth factor GM-CSF.
This is a preview of subscription content, log in via an institution to check access.
References
Bendall, S.C. et al. Science 332, 687–696 (2011).
Newell, E.W. et al. Immunity 36, 142–152 (2012).
Qiu, P. et al. Nat. Biotechnol. 29, 886–891 (2011).
Amir, E.-A.D. et al. Nat. Biotechnol. 31, 545–552 (2013).
Shekhar, K. et al. Proc. Natl. Acad. Sci. USA 111, 202–207 (2014).
Bruggner, R.V. et al. Proc. Natl. Acad. Sci. USA 111, E2770–E2777 (2014).
Becher, B. et al. Nat. Immunol. 15, 1181–1189 (2014).
Murray, P.J. et al. Immunity 41, 14–20 (2014).
Irish, J.M. Cell 118, 217–228 (2004).
Van Epps, H.L. J. Exp. Med. 203, 1389 (2006).
Bendall, S.C. et al. Cell 157, 714–725 (2014).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
J.M.I. has personal financial interest in the company Cytobank Inc., a provider of software that includes algorithms referenced in this manuscript.
Rights and permissions
About this article
Cite this article
Irish, J. Beyond the age of cellular discovery. Nat Immunol 15, 1095–1097 (2014). https://doi.org/10.1038/ni.3034
Published:
Issue Date:
DOI: https://doi.org/10.1038/ni.3034
- Springer Nature America, Inc.
This article is cited by
-
Characterizing cell subsets using marker enrichment modeling
Nature Methods (2017)
-
Regulatory myeloid cells: an underexplored continent in B-cell lymphomas
Cancer Immunology, Immunotherapy (2017)
-
Computational flow cytometry: helping to make sense of high-dimensional immunology data
Nature Reviews Immunology (2016)