2010
DOI: 10.1371/journal.pone.0011411
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Fine Mapping the Spatial Distribution and Concentration of Unlabeled Drugs within Tissue Micro-Compartments Using Imaging Mass Spectrometry

Abstract: Readouts that define the physiological distributions of drugs in tissues are an unmet challenge and at best imprecise, but are needed in order to understand both the pharmacokinetic and pharmacodynamic properties associated with efficacy. Here we demonstrate that it is feasible to follow the in vivo transport of unlabeled drugs within specific organ and tissue compartments on a platform that applies MALDI imaging mass spectrometry to tissue sections characterized with high definition histology. We have tracked… Show more

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Cited by 200 publications
(184 citation statements)
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References 23 publications
(26 reference statements)
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“…The assay limit of detection was ϳ5 ng for all Ang peptides. This is similar to the approach of Nilsson et al (39) for the drug standard tiotropium.…”
Section: Methods Optimization Of Maldi Imaging For Ang Peptides In Kidsupporting
confidence: 57%
“…The assay limit of detection was ϳ5 ng for all Ang peptides. This is similar to the approach of Nilsson et al (39) for the drug standard tiotropium.…”
Section: Methods Optimization Of Maldi Imaging For Ang Peptides In Kidsupporting
confidence: 57%
“…Few studies have quantified the dynamic range of this technique, but a recent investigation demonstrated linearity of signal intensity increasing with analyte concentration from the limit of quantitation (femtomolar) over less than 2 orders of magnitude (71). Given the relative abundance of Cter A compared with other putative cyclotide signals in leaf extract ( Fig.…”
Section: Structural and Evolutionary Implications Of The Novel Precurmentioning
confidence: 99%
“…6C). Tumor tissues were directly analyzed by MALDI mass spectrometry imaging (Cornett et al, 2008;Nilsson et al, 2010) for the presence and distribution of LCL124. The spatial distribution of the m/z 475.4 LCL124 in tumor tissue is shown in Fig.…”
Section: Resultsmentioning
confidence: 99%