463 / 2019-02-27 05:51:01
Integrated multi-omics and mass spectrometry imaging analysis of lipids during Arabidopsis autophagy
Multi-omics,mass spectrometry imaging,lipid,autophagy
摘要录用
Geng Ding / Iowa State University
Yosia Mugume / Iowa Sate University
Maria Duenas / Newcastle University
Diane C. Bassham / Iowa State University
Young-Jin Lee / Iowa State University
Basil J. Nikolau / Iowa State University
Understanding the remodeling of membrane lipid topology in plant cells has major consequences in optimizing plant biomass productivity. Autophagy is a critical cellular process which leads to changes in lipid composition, potentially through degradation of distinct lipid species. This in turn optimizes plant biomass productivity in response to environmental signals. In this study we analyzed the processes of membrane lipid dynamics as modulated by Arabidopsis mutations that a) block, b) modify the timing or c) constitutively activate autophagy. Transcriptomics and lipidomics strategies have been applied to identify differentially expressed lipid metabolism genes and lipid molecules, respectively. These specific target lipid molecules were further analyzed by mass spectrometry imaging, which delivers high-spatial resolution information on the distribution of these lipids. Distinct but interconnecting results from these multi-disciplinary technologies will shed light on the mechanism and regulation of autophagy and lipid-dynamics. These studies are exemplary of a generalizable strategy to assess metabolic processes that are non-symmetrically distributed at the cellular and subcellular levels of plant organs.
重要日期
  • 会议日期

    06月16日

    2019

    06月21日

    2019

  • 05月01日 2019

    初稿截稿日期

  • 06月21日 2019

    注册截止日期

联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询