Abstract
Event Abstract Back to Event Novel genes located in the co-expression networks detected with Transcriptome Tomography Yuko Okamura-Oho1, 2*, Kazuro Shimokawa3, Masaomi Nishimura2, Satoko Takemoto2, Akira Sato4, Teiichi Furuichi4 and Hideo Yokota2 1 Brain Research Network (BReNt), Japan 2 RIKEN, Japan 3 Tohoku Medical Megabank Organization, Tohoku University, Japan 4 Tokyo University of Science, Japan Detection of gene expression-anatomy association is crucial for understanding functions, in particular, of novel coding and non-coding genes. We have invented a framework for comprehensive gene expression density mapping on the whole three dimensional (3D) anatomical context, Transcriptome Tomography (ref.1): here, the methodology is shown in Movie 1. Measured expression densities are usable directly for gene-by-gene correlation analysis of co-expression, and then we have developed a novel bioinformatics framework for comprehensively assessing co-expression patterns that are latent within expression maps (paper in revision). Co-expression search using almost all genes expressed in the adult mouse brain can be done on our website: ViBrism-DB (Figure 1). In this presentation we would focus on previously uncharacterized mouse-specific genes that were co-expressed with genes encoding transcription factors and related molecules. The combinatorial expression of these genes associated with a discrete cell lineage of developmental stages seems to occur in the adult brain and the previously uncharacterized non-coding genes were located in a co-expression network position linking the combinations. This linkage suggests characteristics of these genes that coordinate multiple gene groups and create mouse-specific designs of neurogenesis. Figure 1 Acknowledgements This research was supported by funding from the RIKEN Strategic Programs for R&D (President’s Discretionary Fund) to H.Y., Y.O., K.S., et, al., JSPS KAKENHI Grant Number 25560428 to Y.O. and H.Y., JST Acceleration Utilization of University IP Program to Y.O., RIKEN Neuroinformatics Japan Center to T. F., and JSPS KAKENHI Grant Number 23300137 and 258057 to T. F..
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