January 2022 Virtual Meeting

Speaker: Ricardo Arevalo, University of Maryland

Topic: Laser desorption mass spectrometry with an Orbitrap for planetary exploration

Date: Monday, January 10, 2022

Time: 6:45 Virtual Social, 7:15 pm Presentation

Location: See Zoom invite in email on January 6

Abstract: Laser desorption mass spectrometry (LDMS) techniques enable spatially-resolved chemical analysis of planetary materials, including major/minor/trace element abundances and organic inventory. In the search for prospective biomarkers, the Mars Organic Molecule Analyzer (MOMA) onboard the ExoMars Rosalind Franklin rover will be the first LDMS instrument to characterize the composition of another planet in situ. Here, we describe a next-generation LDMS instrument that integrates a pulsed laser source capable of active beam scanning and precisely-controlled attenuation, and an Orbitrap mass analyzer that delivers 100× higher mass resolution and mass accuracy compared to legacy sensors. A partnership between the University of Maryland, NASA GSFC, the French CosmOrbitrap Consortium, and Thermo Scientific has enabled the development of an engineering test unit that meets the form, fit, and function of a flight instrument targeting the surfaces of Europa, Enceladus, and the Moon.

December 2021 Virtual Meeting

Speaker: Andy Y. Qi, National Institutes of Health

Topic: A fully automated FAIMS-DIA proteomic pipeline for high-throughput characterization of iPSC-derived neurons

Date: Monday, December 13, 2021

Time: 6:45 Virtual Social, 7:15 pm Presentation

Location: See Zoom invite in email on December 2 and 10.

Abstract: Fully automated proteomic pipelines have the potential to achieve deep coverage of cellular proteomes with high throughput and scalability. However, it is important to evaluate performance, including both reproducibility and ability to provide meaningful levels of biological insight. Here, we present an approach combining high field asymmetric waveform ion mobility spectrometer (FAIMS) interface and data independent acquisition (DIA) proteomics approach developed as part of the induced pluripotent stem cell (iPSC) Neurodegenerative Disease Initiative (iNDI), a large-scale effort to understand how inherited diseases may manifest in neuronal cells. Our FAIMS-DIA approach identified more than 8000 proteins per mass spectrometry (MS) acquisition as well as superior total identification, reproducibility, and accuracy compared to other existing DIA methods. Next, we applied this approach to perform a longitudinal proteomic profiling of the differentiation of iPSC-derived neurons from the KOLF2.1J parental line used in iNDI. This analysis demonstrated a steady increase in expression of mature cortical neuron markers over the course of neuron differentiation. We validated the performance of our proteomics pipeline by comparing it to single cell RNA-Seq datasets obtained in parallel, confirming expression of key markers and cell type annotations. An interactive webapp of this temporal data is available for aligned-UMAP visualization and data browsing (https://share.streamlit.io/anant-droid/singlecellumap). In summary, we report an extensively optimized and validated proteomic pipeline that will be suitable for large-scale studies such as iNDI.

November 2021 Meeting

Topic: Post-ASMS Poster Night and ASMS Travel Award Presentations

Date: Monday, November 15, 2021

Time: 6:15 pm Dinner (outdoors) and Vendor Night, 7:30 pm Presentations

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)
This will be an in-person meeting. Attendees are required to show a vaccine card (either at the door or in advance using the web form) and to wear a mask.

Dinner: Please RSVP to Dapeng Chen (cdpumd@gmail.com) by Friday, November 12th if you will be attending the dinner and/or if you will participate in the poster session.

ASMS Travel Award Recipients:

    • Anh Tran, University of Maryland School of Pharmacy

: “High Resolution Ion Mobility of Sphingolipids: a Multi-Adduct Perspective”

    • Aparna Baxi, University of Maryland

: “In “Proteo-Metabolomics of Spemann’s Organizer in the Vertebrate (Frog) Embryo”

    • Jie Li, University of Maryland

: “In Vivo Subcellular Mass Spectrometry Enables Systems Biology in Single Embryonic Cells”

    • Amanda Belunis, University of Maryland Baltimore County

: “EPA 537.1 method validation for the detection of per- and polyfluoroalkyl substances (PFAS) in drinking water sources”

Moved to Virtual: October 2021 Meeting

Speaker: Peter Nemes, University of Maryland

Topic: Mass Spectrometry for Discovering the Cell

Date: Monday, October 18, 2021

Time: 6:45 Virtual Social, 7:15 pm Presentation

Location: MOVED ONLINE. See Zoom invite in email on October 14.

Abstract: Knowledge of all the types of molecules that are produced in cells as they establish different tissues and organs is key to understanding normal development and design efficient therapeutics. Even today, after the sequencing of entire genomes, there is limited information on how molecules downstream, such as proteins and metabolites, contribute to cell processes. The limitation has been a lack of sufficiently sensitive mass spectrometry technologies that can measure these biomolecules with scalability in space and time and compatibility for live development, a prerequisite for functional biology. In this presentation, we will discuss technological developments from our laboratory to to transform mass spectrometry proteomics and metabolomics to single cells. We used these technologies to determine the proteomic and metabolomic profile of identified cells in live Xenopus laevis frog embryos and neurons in mouse brain tissues. Molecular measurements with separation using capillary electrophoresis and detection by (trapped ion mobility) time-of-flight or orbitrap mass spectrometry revealed quantitative molecular differences between cells of different phenotypes. Through follow-up functional experiments, we discovered molecules capable of altering normal cell fate decisions in the chordate embryo. The technology was scalable to smaller cells, including electrophysiologically identified neurons in the mouse brain. Quantification of ~300–800 different proteins revealed reproducible proteomic differences between dopaminergic, serotonergic, and parvalbumin interneurons. Microprobe capillary electrophoresis mass spectrometry expands the molecular toolbox of cell biology and neuroscience.

September 2021 Meeting and Vendor Night

Speaker: Matthew S. Glover, AstraZeneca

Topic: Development of ion mobility-mass spectrometry methods for improved identification of microbiome-derived metabolites

Date: Monday, September 20, 2021

Time: 6:00 pm Dinner (outdoors) and Vendor Night, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)
This will be an in-person meeting. Attendees are required to show a vaccine card (either at the door or in advance using the web form) and to wear a mask.

Dinner: Please RSVP to Dapeng Chen (cdpumd@gmail.com) by Friday, September 17th if you will be attending the dinner.

Abstract: Increasing evidence suggests the human microbiome influences numerous biological processes and perturbation of the microbiome is associated with a variety of diseases. The microbiome influences host health through generation and modification of metabolites such as short-chain fatty acids, bile acids, and tryptophan catabolites. To unravel the role of the microbiome in health and disease, there is a need for high-throughput analytical techniques capable of identifying and quantifying microbiome-derived metabolites in complex biological samples such as plasma and feces. Implementing ion mobility (IM) techniques into traditional LC-MS/MS workflows has emerged as a promising strategy for improving metabolomic workflows due to the orthogonality of IM separations and utility of collision cross section (CCS) measurements for improving identifications of biomolecules in complex mixtures. Here, I will describe the development and optimization of LC-IM-MS methods and accompanying CCS databases for improved characterization of microbiome-derived metabolites in support of microbiome research.