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National Institutes of Natural Sciences

National Institute for Basic Biology

International Cooperation

Princeton University - Collaboration

NIBB-Princeton Joint Proteomics Training Course 2024
- Advanced proteomics to define protein function and dynamic regulation -

Organizers Naoto Ueno and Shuji Shigenobu (NIBB)
Hidetaka Kosako (Tokushima Univ.)
Ileana Cristea (Princeton Univ.)
Venue National Institute for Basic Biology (NIBB) (Okazaki, Aichi, Japan)
Date May 15-17, 2024
Link Official Website (https://www.nibb.ac.jp/proteomics_course_2024/)
【About the Course】 NIBB-Princeton Joint Proteomics Training Course 2024 - Advanced proteomics to define protein function and dynamic regulation - is a 3-day practical course combining hands-on training and lectures. It is being held for the first time after the course in 2017. In the upcoming course, students will learn essential skills in proteomic sample preparation, LC-MS/MS instrument method development, quantitative proteomics analysis, and data interpretation. In the hands-on training, students will focus on sample preparation for whole proteome and proximity labeling quantitative mass spectrometry analysis. The students will take these datasets through guided, hands-on bioinformatics tutorials utilizing open-source software platforms to perform quantitative and functional analysis. Course lectures will cover a range of topics, from the basics of LC-MS/MS instrumentation to emerging proteomics technologies, including protein complex analysis, spatially restricted proteomes, near single cell samples, and bioinformatic strategies for data analysis and biological interpretation. We are pleased to have Prof. Ileana Cristea and Dr. Todd Greco from Princeton University, and Prof. Hidetaka Kosako from Tokushima University who are world-leading scientists in this field, to give intensive lectures and experimental instruction on mass-spectrometry and bioinformatics, and proximity labeling analyses.

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Program
May 15th, 2024
Proteomics Lecture I; Preparation of experimental samples;

May 16th, 2024
Proteomics Lecture II; LS-MS/MS analysis;

May 17th, 2024
Proteomics Lecture III, Data analysis