Description

RIKEN Ageing Resource Data Project: Single cell transcriptome of mice

Tommy W. Terooatea¹, Jen-Chien Chang¹, Matteo Guerrini², Tsukasa Kouno¹, Yasutaka Motomura², Naoko Satoh-Takayama², Katsuyuki Yugi², Sidonia Fagarasan², Kazuyo Moro², Hiroshi Ohno², Ichiro Taniuchi², Piero Carninci¹, Kosuke Hashimoto¹, Aki Minoda¹

¹RIKEN CLST-DGT and ²RIKEN IMS, Yokohama, Japan

Bulk analyses of high-throughput genomic and proteomic technologies have produced invaluable publicly available data on ageing. However, these data are limited in terms of accurately defining cellular states, development and disease state.Single-cell omics on the other hand help overcome these obstacles and promises greater understanding of cellular processes. Consequently, we are currently generating several publicly shared datasets of single cell RNASeq in mouse. We present here our initial single cell transcriptomic results produced from various tissues taken at different ages of the mouse. One aspect of our analysis will be to determine whether we observe dynamic evolution of cells in heterogeneity throughout ageing, which may reveal key regulatory pathways that are gradually deregulated during ageing.

We will also present our plan to carry out additional single cell omics analyses that include ATAC-seq (open chromatin regions), DNA methylation and nanoCAGE. Furthermore, bulk studies using ribosome profiling and metabolomics profiling will also be generated. Taken together, these data will help us better understand the overall genomic and epigenomic landscape changes taking place during ageing and we hope that these will serve as invaluable resources for the scientific community.