@article{a077ddee69cf4a438cecd2fed181f94e,
title = "Deciphering Metabolic Heterogeneity by Single-Cell Analysis",
abstract = "Single-cell analysis provides insights into cellular heterogeneity and dynamics of individual cells. This Feature highlights recent developments in key analytical techniques suited for single-cell metabolic analysis with a special focus on mass spectrometry-based analytical platforms and RNA-seq as well as imaging techniques that reveal stochasticity in metabolism.",
keywords = "IONIZATION MASS-SPECTROMETRY, CAPILLARY-ELECTROPHORESIS, RNA-SEQ, EMBRYONIC-CELLS, LIVE CELLS, DYNAMICS, REVEALS, PROTEOMICS, CYTOMETRY, PROTEIN",
author = "Evers, \{Tom M. J.\} and Mazene Hochane and Tans, \{Sander J.\} and Heeren, \{Ron M. A.\} and Stefan Semrau and Peter Nemes and Alireza Mashaghi",
note = "Funding Information: This work was partially funded by the research program NWO-TTW (IMMUNMET with Project Number 16249 to A.M. and R.H.) which is financed by The Netherlands Organisation for Scientific Research (NWO). R.H. is indebted for financial support by the Dutch Province of Limburg through the LINK program. This work was partially funded by the National Institutes of Health Award No. 1R35GM124755 (to P.N.), the National Science Foundation CAREER Award No. IOS-1832968 (to P.N.), and the Arnold and Mabel Beckman Foundation Young Investigator Award (to P.N.). The ideas expressed in this paper are solely those of the authors and do not represent the official views of the funding sources. Publisher Copyright: {\textcopyright} 2019 American Chemical Society.",
year = "2019",
month = nov,
day = "5",
doi = "10.1021/acs.analchem.9b02410",
language = "English",
volume = "91",
pages = "13314--13323",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "21",
}