Proteomic Reference Map Created for Citrus Canker
A group of scientists that are affiliated with several different institutions in Brazil have conducted research on Xanthomonas citri, a pathogen that affects nearly every variety of orange.
A group of scientists that are affiliated with several different institutions in Brazil have conducted research on Xanthomonas citri, a pathogen that affects nearly every variety of orange.
This pathogen, which is the most aggressive form of Xanthomonas that exists, is responsible for causing what is commonly referred to as citrus canker, a rapidly spreading disease that decreases the yield of fruit, as well as its quality.
The study, which was conducted using liquid chromatography and tandem mass spectrometry (LC-MS), demonstrated that Xanthomonas citri has,"intermediary and central mechanisms and regulation factors for transcription, replication and metabolism," according to a report from Chromatography Today. In addition to this, the study also yielded important information about the growth of the pathogen.
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.
