In this webinar we will discuss a structure-based profiling and annotation workflow used to investigate the flavonoid composition of peels and isolated cuticles in tomato fruit. Specifically, we will compare flavonoid profiles in wild type fruit with those of CRISPR-Cas9 genome edited lines in which the expression of three putative flavonoid transporters were eliminated.

The objectives of the project are to determine whether the putative transporters influence the subcellular distribution of flavonoids in the tomato fruit epidermis and to identify new flavonoids. This webinar will highlight the advantages of using the Thermo Scientific Orbitrap ID-X mass spectrometer with HRMS and MSn capabilities and MSn spectral tree data sets to confidently identify 562 flavonoids, including 487 known and 75 novel flavonoids.

About the presenter

Dr. Sheng Zhang, Director, Proteomics Facility and Metabolomics Facility, Cornell University

Dr. Sheng Zhang, Director, Proteomics Facility and Metabolomics Facility, Cornell University

Sheng received his MS and MD from Medical College of Zhejiang University, China. He came to Cornell University for his postdoc studies at Department of Biochemistry, Molecular and Cell Biology. He started his proteomics research as an Application Scientist at Advion BioSciences. He has been the Director of Cornell Proteomics Facility since 2004, and become the Director of Proteomics and Metabolomics Facility since 2017.

Sheng provides consultation and assisting to Cornell campus-wide researchers in LC-MS based proteomics and metabolomics experimental design, execution and relevant technology training. His research interest is to develop and implement new proteomics/metabolomics workflows for biomarker discovery and characterization of protein post-translational modifications and protein complexes towards understanding cellular metabolism pathways and mechanisms in Alzheimer’s disease.

  • New LCMS research approaches for more efficient, faster and deeper small molecule sample analysis and characterization with the Thermo Scientific Orbitrap ID-X Tribrid LCMS workflow
  • How to easily increase your ability to perform unknown unknown identification and characterization using an intelligent-driven data acquisition and comprehensive data processing designed
  • Robust data interpretation strategies used to confidently narrow the list of potential targets from 1000’s to less than 100

Researchers, Senior Scientists and Laboratory Directors in Academic & Government Research, Contract Research Organizations, and related institutions focused on nutritional and metabolic health studies with a need to learn more in any of the following areas:

  • Understanding the correlation of compounds and health
  • Metabolomics based research
  • Natural product research; including Traditional Chinese Medicine (TCM)
  • Metabolic health disorders research
  • Bioactive compound research
  • New approaches to small molecule unknown structure analysis in a variety of research areas
Presenter

About the presenter

Dr. Sheng Zhang, Director, Proteomics Facility and Metabolomics Facility, Cornell University

Dr. Sheng Zhang, Director, Proteomics Facility and Metabolomics Facility, Cornell University

Sheng received his MS and MD from Medical College of Zhejiang University, China. He came to Cornell University for his postdoc studies at Department of Biochemistry, Molecular and Cell Biology. He started his proteomics research as an Application Scientist at Advion BioSciences. He has been the Director of Cornell Proteomics Facility since 2004, and become the Director of Proteomics and Metabolomics Facility since 2017.

Sheng provides consultation and assisting to Cornell campus-wide researchers in LC-MS based proteomics and metabolomics experimental design, execution and relevant technology training. His research interest is to develop and implement new proteomics/metabolomics workflows for biomarker discovery and characterization of protein post-translational modifications and protein complexes towards understanding cellular metabolism pathways and mechanisms in Alzheimer’s disease.

Key Objectives
  • New LCMS research approaches for more efficient, faster and deeper small molecule sample analysis and characterization with the Thermo Scientific Orbitrap ID-X Tribrid LCMS workflow
  • How to easily increase your ability to perform unknown unknown identification and characterization using an intelligent-driven data acquisition and comprehensive data processing designed
  • Robust data interpretation strategies used to confidently narrow the list of potential targets from 1000’s to less than 100
Who Should Attend

Researchers, Senior Scientists and Laboratory Directors in Academic & Government Research, Contract Research Organizations, and related institutions focused on nutritional and metabolic health studies with a need to learn more in any of the following areas:

  • Understanding the correlation of compounds and health
  • Metabolomics based research
  • Natural product research; including Traditional Chinese Medicine (TCM)
  • Metabolic health disorders research
  • Bioactive compound research
  • New approaches to small molecule unknown structure analysis in a variety of research areas

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