Speaker: Lingjun Li, University of Wisconsin-Madison

Topic: Expanding the Molecular Horizon: Integrative Mass Spectrometry Strategies for Spatial Omics and Neurodegenerative Disease Research

Date: Monday, September 15, 2025

Time: 6:00 pm Dinner 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.

Dinner: Please RSVP to Sheng Feng (SFeng@som.umaryland.edu) by Friday, September 12 if you will be attending the dinner.

Abstract: Understanding the molecular complexity of neurodegenerative diseases such as Alzheimer’s disease (AD) requires analytical platforms that can capture both chemical diversity and spatial context. In this keynote, I will present our lab’s recent advances in mass spectrometry (MS)-based technologies that enable multidimensional molecular mapping across scales—from biofluids to single cells and intact tissues.
We have developed a suite of multiplexed isobaric and isotopic tagging strategies, including the high-resolution 12-plex and 18-plex DiLeu and SUGAR tags, to achieve simultaneous quantitation of proteins, peptides, lipids, and glycans. These tools have been applied to cerebrospinal fluid (CSF) samples from cognitively healthy individuals and AD patients, revealing stage-specific glycosylation patterns and glycoform microheterogeneity with implications for biomarker discovery.
To complement molecular profiling, we have advanced spatial omics through innovations in mass spectrometry imaging (MSI). Our single-cell MSI platform integrates dual-polarity ionization and ion mobility separation to enhance lipidome coverage at subcellular resolution. Furthermore, the Tissue Expansion Mass Spectrometry Imaging (TEMI) technique enables high-resolution mapping of metabolites, peptides, proteins, and glycans in expanded tissues, preserving spatial fidelity while increasing voxel throughput.
These integrative approaches have been applied to mouse models of AD and human postmortem brain tissues, generating region-specific biomolecular atlases that illuminate molecular alterations across disease progression. Our work underscores the power of MS-based spatial and structural omics to decode the biochemical landscape of complex diseases and guide therapeutic development.

Speaker: Joseph Buonomo, University of Texas at Arlington

Topic: Scalable Native Peptide Sequencing Via Innovation in “Click” Chemistries and Large Language Models

Date: May 12, 2025

Time: 6:15 pm Dinner, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, May 9 if you will be attending the dinner.

Abstract: We are developing a groundbreaking method to sequence native peptides, especially for liquid biopsies, a less invasive way to detect cancer from bodily fluids like urine and blood. By accurately sequencing proteins from these samples, we can improve early cancer detection, monitoring, and personalized treatment, offering a powerful tool for doctors and researchers alike. Our approach uses a sophisticated sequencing platform combined with advanced artificial intelligence (AI). Imagine the process like a game of hangman, where you guess a word by uncovering one letter at a time. Here, we identify specific amino acids—akin to letters—in a protein. Instead of revealing all twenty amino acids at once, we focus on identifying eight key ones: K, Y, C, M, W, R, D, and E with highly chemoselective reactions. These amino acids are like the revealed letters in hangman. With the help of AI, acting as a super-smart guesser, we can infer the remaining twelve amino acids. The AI, trained on vast amounts of protein data, uses patterns and context to predict the full sequence, similar to how a hangman player might guess the entire word after seeing a few letters. Our method utilizes advances in bioconjugation and “click” chemistries, as well as unique barcoding strategies to encode cycle numbers and amino acid identities to accurately identify the eight key amino acids and their modifications. By leveraging these innovations, we can extend the read lengths of sequences and improve accuracy. We have designed our platform to be agnostic of detection method, applicable to DNA sequencing, nanopore, and fluorescent detection workflows.

To fully harness the potential of AI beyond sequencing, we are also exploring its application in selecting generic drug suppliers for clinical and research purposes. Reliable sourcing is a persistent challenge, especially as the pharmaceutical supply chain grows more complex and globalized. Traditional vetting processes often rely on manual document reviews, regulatory audits, and personal networks, which are time-consuming and susceptible to human error. Our approach involves training AI algorithms on comprehensive datasets including supplier certifications, manufacturing history, recall records, and even real-time logistics data. This allows us to systematically evaluate suppliers, flag inconsistencies, and predict future reliability based on historical patterns. Integrating AI-driven supplier selection into our sequencing workflow ensures not only higher confidence in reagent quality but also scalability and traceability in our operations. This layer of intelligence helps safeguard the reproducibility of our results and ultimately supports more robust diagnostic platforms.

Speaker: Mark Mellinger, GlaxoSmithKline Pharmaceuticals

Topic: Recent Advances in the Field of Chiral Chromatography

Date: April 14, 2025

Time: 6:15 pm Dinner, 7:15 pm Presentation

Location: Shimadzu Scientific Instrument, Inc. Training Center 7100 Riverwood Drive, Columbia, MD 21046 (Directions)

Dinner: Please RSVP to Dingyin Tao (owendtao@gmail.com) by Friday, April 11 if you will be attending the dinner.

Abstract: Over the past 25 years, there have been some major breakthroughs in the field of chiral chromatography. Prior to 2002, most chiral HPLC separations were done by normal phase chromatography using an alkane (heptane or hexane), and an alcohol (ethanol or IPA). The success rate was only about 60% and there was only a handful of chiral columns available at the time which included AD, OD, OJ, and AS. However, in 2002, Chiral Technologies discovered that these coated chiral stationary phases were more stable than originally thought. The “polar organic” mobile phase was introduced. Acetonitrile, methanol, and IPA were used in the mobile phase to replace normal phase chromatography. This was particularly useful in terms of solubility and helped resolve moderate to tenacious binders which did not elute by either SFC or by normal phase HPLC conditions. In 2004, the second major breakthrough occurred. Chiral Technologies introduced the first immobilized chiral stationary phase, IA. Immobilized chiral stationary phases are unique in that they are not coated to the silica gel but are covalently bound to the silica gel support. The result is a more stable and more rugged chiral column. These immobilized chiral stationary phases are essentially indestructible and are stable to a wide range of solvents including DCM, TBME, ethyl acetate, and THF. This advancement has enabled the discovery of very unique chiral separations which may have encountered solubility issues. The final major breakthrough which occurred in the past 25 years is chiral separations using supercritical fluid chromatography, or SFC. In SFC, the weak component of the mobile phase has been replaced by CO2. This allows for much “greener” separations of weak to moderate binders. This talk will outline practical examples of each of these advancements.