The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Imaging Mass Spectrometry: Principles and Potentials
Abstract
Direct tissue profiling and imaging mass spectrometry (MS) allow for detailed mapping of the complex protein pattern across a tissue sample. Utilization of these tools provides spatial information across a tissue section for target protein expression and can be used to correlate changes in expression levels with specific disease states or drug response. Protein patterns can be directly correlated to known histological regions within the tissue, allowing for the direct monitoring of proteins specific for morphological regions within a tissue sample. Profiling and imaging MS have been used to characterize multiple tissues, including human gliomas and lung cancers, as well as tumor response to specific therapeutics, suggesting the use of proteomic information in assessing disease progression as well as predicting patient response to specific treatments. This article discusses both the technology and methods involved in analyzing proteins directly from tissue samples as well as several MS applications, including profiling human tumors, characterizing protein differences between tumor grades, and monitoring protein changes due to drug therapy.
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
Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
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
Self-citationMatrix-assisted laser desorption/ionization mass spectrometry of biopolymers.
Hillenkamp, F., Karas, M., Beavis, R. C., & Chait, B. T. (1991) · Analytical Chemistry · doi:10.1021/ac00024a716 · Cited by 1,930
Covey, T. R., Huang, E. C., & Henion, J. D. (1991) · Analytical Chemistry · doi:10.1021/ac00013a003 · Cited by 446
Cited by
Current approaches and challenges for the metabolite profiling of complex natural extracts
Wolfender, J.-L., Marti, G., Thomas, A., & Bertrand, S. (2015) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.10.091 · Cited by 635
Groseclose, M. R., Andersson, M., Hardesty, W. M., & Caprioli, R. M. (2007) · Journal of Mass Spectrometry · doi:10.1002/jms.1177 · Cited by 377
Self-citationHong, J. H., Kang, J. W., Kim, D. K., Baik, S. H., Kim, K. H., Shanta, S. R., Jung, J. H., Mook-Jung, I., & Kim, K. P. (2016) · Journal of Lipid Research · doi:10.1194/jlr.m057869 · Cited by 83
Ščupáková, K., Terzopoulos, V., Jain, S., Smeets, D., & Heeren, R. M. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-38914-y · Cited by 23
Metadata
- Authors
- Chaurand, P., Schwartz, S. A., Reyzer, M. L., & Caprioli, R. M.
- Venue
- Toxicologic Pathology
- Publisher
- SAGE Publications
- Published
- 2005-01
- Volume
- 33
- Issue
- 1
- Pages
- 92-101
- ISSN
- 0192-6233 (ISSN-L)
- 1533-1601
- OpenAlex
- W2128748524
- Cited by
- 172
- References
- 4
- FWCI
- 8.24
- 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: Imaging Mass Spectrometry: Principles and Potentials. https://app.cochat.ai/papers/10.1080/01926230590881862
- The paper
- Chaurand, P., Schwartz, S. A., Reyzer, M. L., & Caprioli, R. M. (2005). Imaging Mass Spectrometry: Principles and Potentials. Toxicologic Pathology. https://doi.org/10.1080/01926230590881862
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.