Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 173

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

Mizuno, Hajime, Tsuyama, Naohiro, Harada, Takanori, Masujima, Tsutomu·2008·Journal of Mass Spectrometry

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jms.1460

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 173

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.