This Wednesday afternoon session will present new research into the microbiome. It will be chaired by Trent Northern of Lawrence Berkeley National Laboratory and will be held in Ballroom 20A from 2:30 to 4:30 p.m.
This Wednesday afternoon session will present new research into the microbiome. It will be chaired by Trent Northern of Lawrence Berkeley National Laboratory and will be held in Ballroom 20A from 2:30 to 4:30 p.m.
Pieter Dorrestein of the University of California San Diego will open the session with a presentation titled “Global Analysis of the Chemistry Associated with the Microbiome.” His talk will discuss a global inventory of MS data to gain insight into the chemical drivers of the microbiome.
The session’s second presentation will be given by Sungwhan Oh of Harvard Medical School and is titled “Lipidomic Dissection of Immunomodulatory Mediator Biosynthesis by Gut Microbiota–Diet Interaction.” Oh’s presentation will describe a molecular-level investigation of the host-microbiota-diet loop, and commensal lipid mediators, of which production is dictated by diet and feedback host immunity.
Next, Maja Semanjski of the University of Tuebingen (Germany) will present a talk titled “Application of Dynamic SILAC to Determine Protein Turnover During Toxin-Induced Persistence and Resuscitation in E. Coli.” Semanjski will discuss what is said to be the first global measurement of protein turnover in the context of bacterial persistence and resuscitation.
Nicola Zamboni of ETH Zürich (Switzerland) will give the next presentation, titled “Elucidation of Metabolic Networks by Large Scale, Non-Targeted Metabolomics.” This presentation will cover a metabolomic approach for direct analysis of enzymatic activity with the ability to effectively screen thousands of individual samples.
Bahar Behsaz of the University of California San Diego will then present a talk titled “De Novo Sequencing of Tandem Mass Spectra Reveals a Vast Dark Matter of Cyclopeptidomics.” In this presentation, Behsaz will discuss how a de novo cyclopeptide sequencing approach was used to reveal cyclopeptides in the human fecal metabolome, including some antimicrobial orbitides from consumed plants surviving digestion.
The session’s final presentation, titled “Characterization of the Central Pacific Oxygen Minimum Zone: The Results of the ProteOMZ Expedition,” will be given by Jaclyn Saunders of the Woods Hole Oceanographic Institute. Her presentation will describe global metaproteomic analyses conducted on large-volume samples collected using in situ underwater pump systems.
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.