ArticleBiointerphases2015
ToF-SIMS of tissues: "lessons learned" from mice and women.
Article in Biointerphases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Comparison of Tiling Artifact Removal Methods in Secondary Ion Mass Spectrometry Images.Analytical chemistry · 2023Article
- Back to the basics of time-of-flight secondary ion mass spectrometry of bio-related samples. I. Instrumentation and data collection.Biointerphases · 2023Article
- Identification of Zirconia Particle Uptake in Human Osteoblasts by ToF-SIMS Analysis and Particle-Size Effects on Cell Metabolism.Nanomaterials (Basel, Switzerland) · 2022Article
- Investigation of Inter- and Intratumoral Heterogeneity of Glioblastoma Using TOF-SIMS.Molecular & cellular proteomics : MCP · 2020Article
- Magnetic Resonance Angiography Shows Increased Arterial Blood Supply Associated with Murine Mammary Cancer.International journal of biomedical imaging · 2019Article
- Analysis of the Myc-induced pancreaticBiointerphases · 2018Article
- Analysis and imaging of biocidal agrochemicals using ToF-SIMS.Scientific reports · 2017Article
- Biomedical surface analysis: Evolution and future directions (Review).Biointerphases · 2017Review
- An unsupervised MVA method to compare specific regions in human breast tumor tissue samples using ToF-SIMS.The Analyst · 2016Article
- Time of flight secondary ion mass spectrometry of bone-Impact of sample preparation and measurement conditions.Biointerphases · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
The ability to image cells and tissues with chemical and molecular specificity could greatly expand our understanding of biological processes. The subcellular resolution mass spectral imaging capability of time of flight secondary ion mass spectrometry (ToF-SIMS) has the potential to acquire chemically detailed images. However, the complexities of biological systems combined with the sensitivity of ToF-SIMS require careful planning of experimental methods. Tissue sample preparation methods of formalin fixation followed by paraffin embedding (FFPE) and OCT embedding are compared. Results show that the FFPE can potentially be used as a tissue sample preparation protocol for ToF-SIMS analysis if a cluster ion pre-sputter is used prior to analysis and if nonlipid related tissue features are the features of interest. In contrast, embedding tissue in OCT minimizes contamination and maintains lipid signals. Various data acquisition methodologies and analysis options are discussed and compared using mouse breast and diaphragm muscle tissue. Methodologies for acquiring ToF-SIMS 2D images are highlighted along with applications of multivariate analysis to better identify specific features in a tissue sections when compared to H&E images of serial sections. Identification of tissue features is necessary for researchers to visualize a molecular map that correlates with specific biological features or functions. Finally, lessons learned from sample preparation, data acquisition, and data analysis methods developed using mouse models are applied to a preliminary analysis of human breast tumor tissue sections.
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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.