The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Profiling and quantifying endogenous molecules in single cells using nano-DESI MS
Abstract
Nano-DESI MS enables sensitive molecular profiling and quantification of endogenous species in single cells in a higher throughput manner.
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“with the values reported being well within the expected range (18).”
From FACS-assisted single-cell lipidome analysis of phosphatidylcholines and sphingomyelins in cells of different lineages (2023) · doi:10.1016/j.jlr.2023.100341 · cites this paper as [18]
Citations
Cites
Multivariate analyses in microbial ecology
Ramette, A. (2007) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2007.00375.x · Cited by 1,928
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Brügger, B., Erben, G., Sandhoff, R., Wieland, F. T., & Lehmann, W. D. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.6.2339 · Cited by 881
Single-Cell Metabolomics: Analytical and Biological Perspectives
Zenobi, R. (2013) · Science · doi:10.1126/science.1243259 · Cited by 661
Variability and memory of protein levels in human cells
Sigal, A., Milo, R., Cohen, A., Geva-Zatorsky, N., Klein, Y., Liron, Y., Rosenfeld, N., Danon, T., Perzov, N., & Alon, U. (2006) · Nature · doi:10.1038/nature05316 · Cited by 587
Single-Cell Gene Expression Profiling
Levsky, J. M., Shenoy, S. M., Pezo, R. C., & Singer, R. H. (2002) · Science · doi:10.1126/science.1072241 · Cited by 526
Roach, P. J., Laskin, J., & Laskin, A. (2010) · The Analyst · doi:10.1039/c0an00312c · Cited by 479
Müller, S., & Nebe-von-Caron, G. (2010) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2010.00214.x · Cited by 356
Mass Spectrometric Imaging of Highly Curved Membranes During Tetrahymena Mating
Ostrowski, S. G., Van Bell, C. T., Winograd, N., & Ewing, A. G. (2004) · Science · doi:10.1126/science.1099791 · Cited by 330
Ambient Ionization Mass Spectrometry
Huang, M.-Z., Yuan, C.-H., Cheng, S.-C., Cho, Y.-T., & Shiea, J. (2010) · Annual Review of Analytical Chemistry · doi:10.1146/annurev.anchem.111808.073702 · Cited by 306
Cited by
Hancock, S. E., Ding, E., Johansson Beves, E., Mitchell, T., & Turner, N. (2023) · Journal of Lipid Research · doi:10.1016/j.jlr.2023.100341 · Cited by 13
Developing a Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies
Wije Munige, S., Bhusal, D., Peng, Z., Chen, D., & Yang, Z. (2025) · JACS Au · doi:10.1021/jacsau.5c00327 · Cited by 11
Metadata
- Authors
- Bergman, H.-M., & Lanekoff, I.
- Affiliations
- Department of Chemistry-BMC, Uppsala University, Sweden
- ORCID
- Lanekoff, Ingela
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 142
- Issue
- 19
- Pages
- 3639-3647
- ISSN
- 0003-2654
- 1364-5528
- Cited by
- 109
- References
- 63
- Language
- en
- Funders
- Swedish Foundation for Strategic Research (ICA-6)
- Vetenskapsrådet (621-2013-4231)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- The paper
- Bergman, H.-M., & Lanekoff, I. (2017). Profiling and quantifying endogenous molecules in single cells using nano-DESI MS. The Analyst. https://doi.org/10.1039/c7an00885f
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.