Flow Cytometry Identification of Cell Compartments in the Murine Brain

Moffet, Joel J.D.; Moore, Zachery; Oliver, Susan; Towers, Terri L.; Jenkins, Misty R.; Freytag, Saskia; Whittle, James R.; Best, Sarah A.

doi:10.1007/978-1-0716-3331-1_14

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…All experiments presented in this study were conducted according to regulatory standards approved by the Walter and Eliza Hall Institute Animal Ethics Committee. The CT-2A syngeneic mouse cell line (10,000 cells) [13] was transplanted into the cortex of female 7 week old C57Bl/6 mice according to standard procedures using the coordinates 1 mm lateral and 1 mm anterior to the bregma to a depth of 2.5 mm [14]. Mice were monitored for neurological disturbances and collected as a cohort at ethical endpoint.…”

Section: Methodsmentioning

confidence: 99%

Matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted MALDI-TOF mass spectrometry imaging

Lu,

Freytag,

Narayana

et al. 2023

Preprint

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Matrix-assisted laser desorption/ionization mass spectrometry imaging allows the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by comparative analysis of lipid and small molecule abundance using liquid chromatography–mass spectrometry and RNA-sequencing assessing differential metabolites between normal and tumor regions. Our findings indicate that the recrystallized α cyano-4-hydroxycinnamic acid matrix in positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.

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Section: Methodsmentioning

confidence: 99%

Matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted MALDI-TOF mass spectrometry imaging

Lu,

Freytag,

Narayana

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…All the experiments presented in this study were conducted according to regulatory standards approved by the Walter and Eliza Hall Institute Animal Ethics Committee. The CT-2A syngeneic mouse cell line (10,000 cells) [23] was transplanted into the cortex of female 7-week-old C57Bl/6 mice according to standard procedures by using the coordinates 1 mm lateral and 1 mm anterior to the bregma to a depth of 2.5 mm [24]. The mice were monitored for neurological disturbances and collected as a cohort at an ethical endpoint.…”

Section: Mouse Modelmentioning

confidence: 99%

Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging

Lu,

Freytag,

Narayana

et al. 2023

Metabolites

Self Cite

View full text Add to dashboard Cite

Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography–mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.

show abstract

Flow Cytometry Identification of Cell Compartments in the Murine Brain

Cited by 2 publications

References 21 publications

Matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted MALDI-TOF mass spectrometry imaging

Matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted MALDI-TOF mass spectrometry imaging

Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging

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