Workshop Outline
Workshop Description:
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The workshop aims to provide participants with an in-depth understanding of LC-MS-based metabolomics and molecular network data mining.
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Participants will learn about the principles, techniques, and applications of LC-MS in metabolomics research, as well as the process of molecular network data mining for comprehensive metabolite annotation.
Workshop Objectives:
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To familiarize participants with the fundamentals of LC-MS technology and its application in studying metabolites.
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To provide hands-on training on the molecular network data mining process and its significance in interpreting complex biological data.
Workshop Agenda:
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Session 1: Introduction to LCMS in Metabolomics
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Overview of LCMS technology and its role in metabolomics research
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Data acquisition methods and instrumentation for LC-MS analysis
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Case studies highlighting the applications of LC-MS in metabolite identification and quantification
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Session 2: Basics of Metabolite Molecular Networking
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Understanding the concept of molecular networks and their construction
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Preprocessing and normalization techniques for molecular network data
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Practical exercises on interpreting molecular networks generated from LC-MS data
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Session 3: Molecular Network Data Mining Workshop
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Practical data processing and feature extraction techniques
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Application of molecular networks for identifying metabolic pathways and biomarkers
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Group projects on applying data mining methods to real metabolomics datasets
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Workshop Resources & Requirements
Workshop Resources:
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Access to LC-MS software tools and curated metabolomics datasets for practical sessions
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Workshop materials including presentations, practical guides, and case studies
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Expert guidance from instructors with expertise in LC-MS-based metabolomics and data mining
Workshop Requirements:
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Basic knowledge of LC-MS and metabolomics concepts
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Personal laptop for interactive practical sessions
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Enthusiasm for hands-on learning and active participation in group activities
Conclusion:
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The "LC-MS-based Metabolomics and Molecular Network Data Mining Workshop" is designed to equip participants with essential skills in leveraging LC-MS technology for metabolomics research and employing molecular network data mining for advanced metabolite annotation and data analysis.
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Participants will gain practical experience and insights into the application of cutting-edge techniques in metabolomics and molecular network analysis, enabling them to make meaningful contributions to the field of life sciences.
List of Speakers and Trainers
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As a pioneer in Metabolomics field in Malaysia, Professor Dr. Syarul Nataqain Baharum research is focused on the new insight of analytical and biological perspectives of the metabolomics in the field of systems biology, in particularly on the understanding of secondary metabolite production in local herbal plants as well as fluxomics studies. She has expanding her research focus in understanding host-pathogen interaction in aquaculture disease and also green therapeutic mechanism in neurogenerative diseases. In metabolomics research, pipeline of analytical tools such as LCMS, GCMS, CEMS, FTIR and NMR combined with Principal Component Analysis (PCA) is essential for the dynamic high throughput analysis. This frontier analysis which includes mathematical modelling has provided glimpse of cellular biology and fingerprint of functional network in the model organism in her lab. Currently she has published about 100 research articles, 4 books and 6 chapters in books. As project leader, she also received more than RM 4 million research grants in total amount. Under her supervision, 9 PhD students and 17 MSc were graduated. At the moment, she is supervising a total of 21 PhD students and 18 MSc students. She also has filed two patents and granted one Trade Mark (TM) and one Trade Secret. Her work has been awarded prestigious awards including BioInnovation Awards in 2011 and Selangor My Innovation Award, 2014. She also engaged in collaborative partnership with industries such as Medika Natura Sdn Bhd, AAR Sdn Bhd and FGV Sdn Bhd.
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If you are interested to collaborate with her, or be part of her research group, please drop her an email to nataqain@ukm.edu.my.
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Dr. Nurkhalida Kamal completed her PhD in Pharmaceutical Sciences (Natural Products Chemistry & Metabolomics) from the University of Strathclyde, Glasgow, UK in 2015. She then worked as a Postdoctoral Fellow at the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS) focusing on metabolomics analysis of marine organisms including seaweed and marine microbes. She joined INBIOSIS in 2020 as a Research Fellow.
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Her research focuses on the application of metabolomics in natural products and food chemistry. She wants to understand the chemistry of various resources, why it is produced and what we can use it for. She has vast experiences in natural products isolation and elucidation from various organisms (plants, microbes, marine organisms and mushrooms), NMR and LCMS and chemometric data analysis. Her on-going research is to unravel the mechanism of immunomodulation of polyphenols-rich tempeh fraction on Caco-2 and HT-29 cell lines. Her interest also includes on using metabolomics as a tool to identify and biotechnologically optimize the production of bioactive secondary metabolites in medicinal plants, mushrooms, and microorganisms.
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Please feel free to visit her research group website (www.nurkhalidakamal.com) or contact Dr. Nurkhalida Kamal (nurkhalida.kamal@ukm.edu.my) for research and industrial projects collaboration.
Programme
6th August 2024 (Tuesday)
| Time | Activity |
| 8.45 am | Registration |
| 9.00 am | Welcome Speech & Introduction by Prof. Dr. Syarul Nataqain Baharum (Director of INBIOSIS) |
| 9.10 am | Lecture : Introduction to Metabolomics, Experimental Design and Data Analysis & Interpretation |
| 10.30 am | Photography Session & Morning Break |
| 10.45 pm | Hands-on 1: LCMS Data Acquisition and Data Processing |
| 12.30 pm | Lunch Break |
| 2.00 pm | Hands-on 2: Multivariate Data Analysis |
| 4.30 pm | Tea Break & END OF DAY 1 |
7th August 2024 (Wednesday)
| Time | Activity |
| 8.45 am | Registration |
| 9.00 am | Hands-on 3: GNPS for Metabolomics Data Analysis and Visualizations (Molecular Networking) |
| 10.30 am | Morning Break |
| 10.45 am | Continue Hands-on 3: GNPS for Metabolomics Data Analysis and Visualizations (Molecular Networking) |
| 12.20 pm | Sharing Session: CODA Services @ INBIOSIS: What we offer |
| 12.30 pm | Lunch Break |
| 2.00 pm | Hands-on 4: Cytoscape Visualization |
| 4.30 pm | Tea Break & END OF Workshop |