Results 41 to 50 of about 4,457 (177)

Correlating Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry for Tissue-Based Pharmacokinetic Studies

Metabolites, 2022
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a standard tool used for absolute quantification of drugs in pharmacokinetic (PK) studies.
Andreas Dannhorn, Emine Kazanc, Gregory Hamm, John G. Swales, Nicole Strittmatter, Gareth Maglennon, Richard J. A. Goodwin, Zoltan Takats   +7 more
doaj   +1 more source

MALDI-MSI and Ovarian Cancer Biomarkers

, 2012
Remi Longuespee1, Charlotte Boyon1,2, Olivier Kerdraon3, Denis Vinatier2, Isabelle Fournier1, Robert Day4 and Michel Salzet1 1Universite Nord de France, Laboratoire de Spectrometrie de Masse Biologique Fondamentale et Appliquee, Universite de Lille 1, Cite Scientifique, Villeneuve d’Ascq 2Hopital Jeanne de Flandre, service de Chirurgie Gynecologique ...
Rmi Longuespee, Charlotte Boyon, Olivier Kerdraon, Denis Vinatier, Isabelle Fournier, Robert Day, Michel Salzet   +6 more
openaire   +2 more sources

Unraveling the drug distribution in brain enabled by MALDI MS imaging with laser-assisted chemical transfer

Acta Pharmaceutica Sinica B, 2022
Accurate localization of central nervous system (CNS) drug distribution in the brain is quite challenging to matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), owing to the ionization competition/suppression of highly ...
Shuai Guo, Kening Li, Yanwen Chen, Bin Li   +3 more
doaj   +1 more source

MALDI‐MSI for the analysis of a 3D tissue‐engineered psoriatic skin model [PDF]

PROTEOMICS, 2016
MALDI‐MS Imaging is a novel label‐free technique that can be used to visualize the changes in multiple mass responses following treatment. Following treatment with proinflammatory cytokine interleukin‐22 (IL‐22), the epidermal differentiation of Labskin, a living skin equivalent (LSE), successfully modeled psoriasis in vitro.
Harvey, Amanda, Day, Rebecca, Cole, Laura M., Bartlett, Maggie, Warwick, John, Bojar, Richard, Smith, David, Cross, Neil, Clench, Malcolm R.   +8 more
openaire   +3 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

On-Tissue Derivatization of Lipopolysaccharide for Detection of Lipid A Using MALDI-MSI

Analytical Chemistry, 2020
We developed a method to directly detect and map the Gram-negative bacterial virulence factor lipid A derived from lipopolysaccharide (LPS) by coupling acid hydrolysis with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). As the structure of lipid A (endotoxin) determines the innate immune outcome during infection, the
Hyojik Yang, Courtney E. Chandler, Shelley N. Jackson, Amina S. Woods, David R. Goodlett, Robert K. Ernst, Alison J. Scott   +6 more
openaire   +5 more sources

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

MALDI-MSI—A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors [PDF]

International Journal of Environmental Research and Public Health, 2020
This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma.
Dagmara Pietkiewicz, Agnieszka Horała, Szymon Plewa, Piotr Jasiński, Ewa Nowak-Markwitz, Zenon J. Kokot, Jan Matysiak   +6 more
openaire   +2 more sources

Elucidating the spatial distribution of organic contaminants and their biotransformation products in amphipod tissue by MALDI- and DESI-MS-imaging

Ecotoxicology and Environmental Safety, 2023
The application of mass spectrometry imaging (MSI) is a promising tool to analyze the spatial distribution of organic contaminants in organisms and thereby improve the understanding of toxicokinetic and toxicodynamic processes.
Johannes Raths, Fernanda E. Pinto, Christian Janfelt, Juliane Hollender   +3 more
doaj   +1 more source