• Top page
  • Timetable
  • Per session
  • Per presentation
  • How to
  • Meeting Planner

演題詳細

Poster

幹細胞、ニューロンとグリアの分化
Stem Cells, Neuronal and Glial Production/Differentiation

開催日 2014/9/12
時間 14:00 - 15:00
会場 Poster / Exhibition(Event Hall B)

ショウジョウバエ脳のクローン構造と神経ネットワークの体系的解析
Systematic analysis of clonal structure and neural network of the Drosophila brain

  • P2-082
  • 伊藤 正芳 / Masayoshi Ito:1 増田 直紀 / Naoki Masuda:2 伊藤 啓 / Kei Ito:1 
  • 1:東京大学 / Inst. of Molecular and Cellular Biosciences ,The Univ. of Tokyo 2:Dept of Engi Math, Univ of Bristol, Bristol, U.K. / Dept of Engi Math, Univ of Bristol, Bristol, UK 

It is important to study the whole complicated neural network of the brain because a large number of neurons are related to one specific function from sensory inputs to motor outputs. For the projectome mapping of the Drosophila brain, we investigated a clonal unit that is a set of characteristic neural circuits formed by the neurons derived from a single neuroblast. By comparing different samples by registration to the standard brain, we identified 96 clonal units out of the expected about 100 units. How clonal units make the brain structures? We found that bundle of neural fibers are composed by a specific set of clonal units. These bundles mainly composed by parallel running fibers. Cluster analysis on overlap degree of clonal arborizations revealed that the brain classified in to 4 clusters; dorsal lateral, dorsal medial, ventral lateral and optic lobe. We found that mushroom body and central complex showed low overlap though other parts of the brain showed high overlap. Community analysis on projection subgroups of clonal units revealed that there were 5 communities; dorsal lateral region, ventral lateral region, around central complex and both sides of mushroom body. We found that central complex and mushroom body have relatively few connections with other communities. Combining Tzumin Lee's and our clonal unit data, total number of clones is up to 114. We wrote these clones with precise descriptions and re-analyzed network communities.

Copyright © Neuroscience2014. All Right Reserved.