The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Live single‐cell video‐mass spectrometry for cellular and subcellular molecular detection and cell classification
Abstract
The molecular content from the cytoplasm of a live, single mammalian cell and its organelle were trapped with a nano‐electrospray ionization (ESI) tip acting as a micropipette under a video microscope, and hundreds of small molecular peaks were detected by direct nano‐ESI mass spectrometry (MS). Granule‐ or cytoplasm‐specific peaks in a mast cell (RBL 2H3) model were extracted by paired t‐test to demonstrate their specific localization. Some of the typical and specific molecules were successfully identified by MS/MS analysis. This method was also applied to the cell classification of seven types of cell lines at the single‐cellular level by principal component analysis (PCA), revealing seven clusters in the multivariate score plot. Copyright © 2008 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS
Caprioli, R. M., Farmer, T. B., & Gile, J. (1997) · Analytical Chemistry · doi:10.1021/ac970888i · Cited by 2,234
Cited by
Profiling metabolites and peptides in single cells
Rubakhin, S. S., Romanova, E. V., Nemes, P., & Sweedler, J. V. (2011) · Nature Methods · doi:10.1038/nmeth.1549 · Cited by 347
Profiling and quantifying endogenous molecules in single cells using nano-DESI MS
Bergman, H.-M., & Lanekoff, I. (2017) · The Analyst · doi:10.1039/c7an00885f · Cited by 109
Metadata
- Authors
- Mizuno, H., Tsuyama, N., Harada, T., & Masujima, T.
- Venue
- Journal of Mass Spectrometry
- Publisher
- Wiley
- Published
- 2008-07-10
- Volume
- 43
- Issue
- 12
- Pages
- 1692-1700
- ISSN
- 1076-5174 (ISSN-L)
- 1096-9888
- OpenAlex
- W2030618194
- Cited by
- 173
- References
- 2
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Live single‐cell video‐mass spectrometry for cellular and subcellular molecular detection and cell classification. https://app.cochat.ai/papers/10.1002/jms.1460
- The paper
- Mizuno, H., Tsuyama, N., Harada, T., & Masujima, T. (2008). Live single‐cell video‐mass spectrometry for cellular and subcellular molecular detection and cell classification. Journal of Mass Spectrometry. https://doi.org/10.1002/jms.1460
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.