转录组
基因表达
计算生物学
生物
可视化
基因表达谱
基因表达调控
心脏发育
基因
遗传学
计算机科学
数据挖掘
胚胎干细胞
作者
Monika Mohenska,Nathalia M. Tan,Alex Tokolyi,Milena B. Furtado,Mauro W. Costa,Andrew Perry,Jessica Hatwell-Humble,Karel van Duijvenboden,Hieu T. Nim,Y. Ji,Natalie Charitakis,Denis Bienroth,Francesca Bolk,Céline Vivien,Anja S. Knaupp,David Powell,David A. Elliott,Enzo R. Porrello,Susan K. Nilsson,Gonzalo del Monte‐Nieto
标识
DOI:10.1016/j.yjmcc.2021.09.011
摘要
Understanding the spatial gene expression and regulation in the heart is key to uncovering its developmental and physiological processes, during homeostasis and disease. Numerous techniques exist to gain gene expression and regulation information in organs such as the heart, but few utilize intuitive true-to-life three-dimensional representations to analyze and visualise results. Here we combined transcriptomics with 3D-modelling to interrogate spatial gene expression in the mammalian heart. For this, we microdissected and sequenced transcriptome-wide 18 anatomical sections of the adult mouse heart. Our study has unveiled known and novel genes that display complex spatial expression in the heart sub-compartments. We have also created 3D-cardiomics, an interface for spatial transcriptome analysis and visualization that allows the easy exploration of these data in a 3D model of the heart. 3D-cardiomics is accessible from http://3d-cardiomics.erc.monash.edu/.
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