Mapping glycine uptake and its metabolic conversion to glutathione in mouse mammary tumors using functional mass spectrometry imaging

Mellinger, Allyson L.; Kibbe, Russell R; Rabbani, Zahid N.; Meritet, Danielle; Muddiman, David C.; Gamcsik, Michael P.

doi:10.1016/j.freeradbiomed.2022.11.010

Cited by 2 publications

(3 citation statements)

References 31 publications

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“…In a relative quantification experiment the results are primarily indicating a change from a control group to an experimental group. In MSI, that often takes the form of quantifying the increase or decrease of analytes from a healthy model to a disease model 6,36,37 or to measure the spatial differences of an analyte within the same tissue sample. 38,39 There are a few different methods to determine a relative quantification with MSI.…”

Section: Quantificationmentioning

confidence: 99%

“…The results of a relative quantification experiment identify changes in concentration when comparing different regions within a sample or between two or more experimental groups whereas absolute quantification yields exact numerical concentrations for the analyte. Both relative and absolute qMSI have been investigated and implemented to quantify metabolites in tumor studies, [6][7][8] species connected to neurological disorders, 9,10 and most extensively in measuring and localizing drug distributions [11][12][13][14][15] in the drug discovery pipeline. Because MS is not an inherently a quantitative platform, there are various factors to consider when determining which type of quantification should be carried out.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative mass spectrometry imaging (qMSI): A tutorial

Kibbe,

Muddiman

2024

J Mass Spectrom

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Mass spectrometry imaging (MSI) is an analytical technique that enables the simultaneous detection of hundreds to thousands of chemical species while retaining their spatial information; usually, MSI is applied to biological tissues. Combining these elements can create ion images, which allows for the identification and localization of multiple chemical species within the sample. Being able to produce molecular images of biological tissues has already impacted the study of health and disease; however, the next logical step is being able to combine MSI with quantitative mass spectrometry methods to both quantify and determine the localization of disease progression or drug action. In this tutorial, we will detail the main factors to consider when designing a qMSI experiment and highlight the methods that have been developed to overcome these added complexities, specifically for those newer to the field of MSI.

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Section: Quantificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative mass spectrometry imaging (qMSI): A tutorial

Kibbe,

Muddiman

2024

J Mass Spectrom

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“…Mass spectrometry imaging (MSI) is an analytical technique used in clinical, , pharmaceutical, and biological sciences. , MSI has two main characteristics: it provides mass-to-charge ratio ( m / z ) information for molecular identification and maps the analytes’ abundances with their detected locations, to spatially resolve the distribution of molecules across a sample. , One main branch of MSI ionization sources is laser-based ionization, which can be further classified based on the applied laser wavelength, where ultraviolet (UV) and infrared (IR) are the most prevalent. Matrix-assisted laser desorption/ionization (MALDI) often utilizes a UV laser accompanying an organic matrix that absorbs the laser energy and ionizes analytes .…”

Section: Introductionmentioning

confidence: 99%

Automatic z-Axis Correction for IR-MALDESI Mass Spectrometry Imaging of Uneven Surfaces

Knizner

Garrard

et al. 2023

J. Am. Soc. Mass Spectrom.

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Two-dimensional mass spectrometry imaging (2D MSI) experiments mainly involve samples with a flat surface and constant thickness, but some samples are challenging to section due to the texture and topography. Herein, we present an MSI method that automatically corrects for discernible height differences across surfaces during imaging experiments. A chromatic confocal sensor was incorporated into the infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) system to measure the sample surface height at the location of each analytical scan. The height profile is subsequently used for adjusting the z-axis position of the sample during MSI data acquisition. We evaluated this method using a tilted mouse liver section and an unsectioned Prilosec tablet due to their exterior quasi-homogeneity and height differences of approximately ∼250 μm. MSI with automatic z-axis correction showed consistent ablated spot sizes and shapes, revealing the measured ion spatial distribution across a mouse liver section and a Prilosec tablet. Conversely, irregular spots and reduced signals with large variability were observed when no z-axis correction was applied.

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Mapping glycine uptake and its metabolic conversion to glutathione in mouse mammary tumors using functional mass spectrometry imaging

Cited by 2 publications

References 31 publications

Quantitative mass spectrometry imaging (qMSI): A tutorial

Quantitative mass spectrometry imaging (qMSI): A tutorial

Automatic z-Axis Correction for IR-MALDESI Mass Spectrometry Imaging of Uneven Surfaces

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