ArticleMethods in molecular biology (Clifton, N.J.)2010
A mass spectrometry primer for mass spectrometry imaging.
Article in Methods in molecular biology (Clifton, N.J.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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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.
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Who cites it
15 citing papers in PubMed.
- Visualizing Metabolism: Lipid-Based Raman Nanoreporters as an Enabling Platform for Metabolic Imaging and Precision Medicine.ACS nano medicine · 2026Review
- Review
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Grapevine leaf MALDI-MS imaging reveals the localisation of a putatively identified sucrose metabolite associated toFrontiers in plant science · 2022Article
- Mapping the Chemistry of Hair Strands by Mass Spectrometry Imaging-A Review.Molecules (Basel, Switzerland) · 2021Review
- Fabrication of GdACS omega · 2020Article
- Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer.Cancer reports (Hoboken, N.J.) · 2019Review
- Integrating Mass Spectrometry with Microphysiological Systems for Improved Neurochemical Studies.Microphysiological systems · 2018Article
- Graphene Oxide as a Novel Evenly Continuous Phase Matrix for TOF-SIMS.Journal of the American Society for Mass Spectrometry · 2017Article
- Mass Spectrometry Imaging and Identification of Peptides Associated with Cephalic Ganglia Regeneration in Schmidtea mediterranea.The Journal of biological chemistry · 2016Article
- Mass Spectrometry Imaging and GC-MS Profiling of the Mammalian Peripheral Sensory-Motor Circuit.Journal of the American Society for Mass Spectrometry · 2015Article
- Tip-enhanced laser ablation sample transfer for biomolecule mass spectrometry.Journal of the American Society for Mass Spectrometry · 2015Article
- Biomolecular imaging with a C60-SIMS/MALDI dual ion source hybrid mass spectrometer: instrumentation, matrix enhancement, and single cell analysis.Journal of the American Society for Mass Spectrometry · 2014Article
- Profiling metabolites and peptides in single cells.Nature methods · 2011Review
- MALDI imaging mass spectrometry of human tissue: method challenges and clinical perspectives.Trends in biotechnology · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Mass spectrometry imaging (MSI), a rapidly growing subfield of chemical imaging, employs mass spectrometry (MS) technologies to create single- and multi-dimensional localization maps for a variety of atoms and molecules. Complimentary to other imaging approaches, MSI provides high chemical specificity and broad analyte coverage. This powerful analytical toolset is capable of measuring the distribution of many classes of inorganics, metabolites, proteins, and pharmaceuticals in chemically and structurally complex biological specimens in vivo, in vitro, and in situ. The MSI approaches highlighted in this Methods in Molecular Biology volume provide flexibility of detection, characterization, and identification of multiple known and unknown analytes. The goal of this chapter is to introduce investigators who may be unfamiliar with MS to the basic principles of the mass spectrometric approaches as used in MSI. In addition to guidelines for choosing the most suitable MSI method for specific investigations, cross-references are provided to the chapters in this volume that describe the appropriate experimental protocols.
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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.