ArticleAnalytical chemistry2012
Identifying individual cell types in heterogeneous cultures using secondary ion mass spectrometry imaging with C60 etching and multivariate analysis.
Article in Analytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Evaluation of Quantitative Platforms for Single Target Mass Spectrometry Imaging.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Review
- Multiphoton Microscopy and Mass Spectrometry for Revealing Metabolic Heterogeneity of HepatocytesSovremennye tekhnologii v meditsine · 2021Article
- Visualizing Intrapopulation Hematopoietic Cell Heterogeneity with Self-Organizing Maps of SIMS Data.Tissue engineering. Part C, Methods · 2018Article
- Metabolic Noise and Distinct Subpopulations Observed by Single Cell LAESI Mass Spectrometry of Plant CellsFrontiers in plant science · 2018Article
- Biomedical surface analysis: Evolution and future directions (Review).Biointerphases · 2017Review
- Review
- Chemometric analysis of MALDI mass spectrometric images of three-dimensional cell culture systems.Analytical methods : advancing methods and applications · 2015Article
- Lipid analysis of eight human breast cancer cell lines with ToF-SIMS.Biointerphases · 2015Article
- Revealing cytokine-induced changes in the extracellular matrix with secondary ion mass spectrometry.Acta biomaterialia · 2015Article
- Secondary ion mass spectrometry and Raman spectroscopy for tissue engineering applications.Current opinion in biotechnology · 2015Review
- Characterization of sample preparation methods of NIH/3T3 fibroblasts for ToF-SIMS analysis.Biointerphases · 2013Article
- TOF-SIMS 3D imaging of native and non-native species within HeLa cells.Analytical chemistry · 2013Article
- Single-cell imaging mass spectrometry.Current opinion in chemical biology · 2013Review
- Image and Spectral Processing for ToF-SIMS Analysis of Biological Materials.Mass spectrometry (Tokyo, Japan) · 2013Article
- Multivariate analysis of ToF-SIMS data from multicomponent systems: the why, when, and how.Biointerphases · 2012Review
- Mass spectrometry imaging and profiling of single cells.Journal of proteomics · 2012Review
- Identifying differentiation stage of individual primary hematopoietic cells from mouse bone marrow by multivariate analysis of TOF-secondary ion mass spectrometry data.Analytical chemistry · 2012Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Tissue engineering approaches fabricate and subsequently implant cell-seeded and unseeded scaffold biomaterials. Once in the body, these biomaterials are repopulated with somatic cells of various phenotypes whose identification upon explantation can be expensive and time-consuming. We show that imaging time-of-flight secondary ion mass spectrometry (TOF-SIMS) can be used to distinguish mammalian cell types in heterogeneous cultures. Primary rat esophageal epithelial cells (REEC) were cultured with NIH 3T3 mouse fibroblasts on tissue culture polystyrene and freeze-dried before TOF-SIMS imaging. Results show that a short etching sequence with C(60)(+) ions can be used to clean the sample surface and improve the TOF-SIMS image quality. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used to identify peaks whose contributions to the total variance in the multivariate model were due to either the two cell types or the substrate. Using PLS-DA, unknown regions of cellularity that were otherwise unidentifiable by SIMS could be classified. From the loadings in the PLS-DA model, peaks were selected that were indicative of the two cell types and TOF-SIMS images were created and overlaid that showed the ability of this method to distinguish features visually.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.