This Monday afternoon session will present recent advances in mass spectrometry imaging in plants, animals, and humans. It will be chaired by Shama Mirza of the University of Wisconsin-Milwaukee and will be held in Ballroom 20A from 2:30 to 4:30 p.m.
This Monday afternoon session will present recent advances in mass spectrometry imaging in plants, animals, and humans. It will be chaired by Shama Mirza of the University of Wisconsin-Milwaukee and will be held in Ballroom 20A from 2:30 to 4:30 p.m.
Khaja Muneeruddin of the University of Massachusetts Medical School will present the first talk in this session, titled “Quantifying the Neuromolecular Phenotype of Murine GM1 Gangliosidosis with Mass Spectrometry Imaging and Region of Interest Analysis.” This presentation will discuss region of interest analysis from MALDI imaging to elucidate molecular pathology in GM1 gangliosidosis.
The session’s next presentation will be given by Elizabeth Randall of Brigham and Women’s Hospital, Harvard Medical School, and is titled “Mapping Metabolism in Glioblastoma with MALDI MSI.” Randall’s presentation will describe MALDI MS imaging of lipids and metabolites in patient-derived xenograft models of glioblastoma.
Next, Michelle Reyzer of Vanderbilt University will present a talk titled “Visualizing the Distribution of Anti-Retroviral Agents in Sheep Vaginal Tissue by Imaging Mass Spectrometry.” Her research with imaging MS involved assessing drug compound distribution after topical delivery.
The next talk will be given by Peter Verhaert of M4i Maastricht Multimodal Molecular Imaging Institute, Maastricht, Netherlands. It is titled “Top-Down Mass Spectrometry Imaging of Endogenous Secretory Peptides in Clinical Human FFPE Material of Many Years Old with Immunohistochemical Validation.” His talk will discuss the imaging of human neuropeptides in clinical formalin-fixed paraffin-embedded (FFPE) tissue using a fully integrated microscope–MALDI ion trap TOF system.
Then, Amina Woods of NIDA-IRP, NIH (Baltimore) will present a talk titled “How Innovative Imaging MS Approaches Shed Light on What Happens in Traumatic Brain Injury.” Her research involves the use of MS imaging to assay lipid changes in traumatic brain injury and evaluate the efficacy of a peptide agonist.
The final presentation in the session, “Development of a Dual Imaging Strategy Combining Radio- and Mass Spectrometry-Imaging to Study the Biodistribution of 14C-Graphene Oxide,” will be given by Hélène Cazier of Université Paris Saclay, MetaboHUB. Her talk will discuss the combination of the two techniques for spatially resolved and quantitative analysis of graphene nanoparticles.
Measuring Stress and Reproductive Hormones in Dolphins with UPLC
November 25th 2024A recent study measured stress and reproductive hormones in three stocks of free-ranging bottlenose dolphins inhabiting different natural salinities across the Gulf of Mexico, with hormones extracted from the blubber of 82 remotely biopsied dolphins and quantified using ultra performance liquid chromatography (UPLC) coupled with orbitrap fusion mass spectrometry.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.