Network analysis of 3D gene expression pattern, using microtomy based transcriptomic data sets in ViBrism DB

Event Abstract Back to Event Network analysis of 3D gene expression pattern, using microtomy based transcriptomic data sets in ViBrism DB Kazuro Shimokawa1*, Masahiko Morita2, Masaomi Nishimura2, Hideo Yokota2 and Yuko Okamura-Oho3 1 Tohoku University, Tohoku Medical Megabank Organization, Japan 2 RIKEN Center for Advanced Photonics, Extreme Photonics Research Group, Japan 3 Brain Research Network (BReNt) , Japan We have succeeded to examine the three di­men­sional ex­pression patterns of wide varieties of RNA mole­cules in the whole anatomical context of the brain by the de­velop­ment of micro­tomy techniques, and created a database, ViBrism DB, in which measured ex­pression densities are used for three di­men­sional (3D) ex­pression map recon­structing with the micro­tomy techniques, and dis­closed various spatial ex­pression patterns concerning mouse brain. By the use of our ex­pression maps, we also have created co-ex­pression net­work graphs of genes of in­ter­est. Acknowledgements This research was supported by funding from Neuro­informatics Japan Center, RIKEN BSI to INCF Japan Node ViBrism DB Platform Committee Keywords: Microtomy, bioinformatics, Microarray, Transcriptomic Analysis, co-expression network Conference: Neuroinformatics 2015, Cairns, Australia, 20 Aug - 22 Aug, 2015. Presentation Type: poster Topic: General neuroinformatics Citation: Shimokawa K, Morita M, Nishimura M, Yokota H and Okamura-Oho Y (2015). Network analysis of 3D gene expression pattern, using microtomy based transcriptomic data sets in ViBrism DB. Front. Neurosci. Conference Abstract: Neuroinformatics 2015. doi: 10.3389/conf.fnins.2015.91.00048 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 29 Jun 2015; Published Online: 05 Aug 2015. * Correspondence: Dr. Kazuro Shimokawa, Tohoku University, Tohoku Medical Megabank Organization, Sendai, Japan, shimokawa@megabank.tohoku.ac.jp Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Kazuro Shimokawa Masahiko Morita Masaomi Nishimura Hideo Yokota Yuko Okamura-Oho Google Kazuro Shimokawa Masahiko Morita Masaomi Nishimura Hideo Yokota Yuko Okamura-Oho Google Scholar Kazuro Shimokawa Masahiko Morita Masaomi Nishimura Hideo Yokota Yuko Okamura-Oho PubMed Kazuro Shimokawa Masahiko Morita Masaomi Nishimura Hideo Yokota Yuko Okamura-Oho Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.