| Literature DB >> 34624332 |
Monika Mohenska1, Nathalia M Tan1, Alex Tokolyi2, Milena B Furtado3, Mauro W Costa3, Andrew J Perry4, Jessica Hatwell-Humble5, Karel van Duijvenboden6, Hieu T Nim7, Yuan M M Ji2, Natalie Charitakis8, Denis Bienroth9, Francesca Bolk10, Celine Vivien9, Anja S Knaupp1, David R Powell4, David A Elliott11, Enzo R Porrello12, Susan K Nilsson5, Gonzalo Del Monte-Nieto2, Nadia A Rosenthal13, Fernando J Rossello14, Jose M Polo15, Mirana Ramialison16.
Abstract
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/.Entities:
Keywords: 3D organ; Bioinformatics; Cardiac model; Cardiac systems; Data visualization; Spatial transcriptomics; Systems biology
Mesh：
Year: 2021 PMID： 34624332 DOI： 10.1016/j.yjmcc.2021.09.011
Source DB: PubMed Journal: J Mol Cell Cardiol ISSN： 0022-2828 Impact factor: 5.000