3D-cardiomics: A spatial transcriptional atlas of the mammalian heart
Autor: | Mirana Ramialison, Mauro W. Costa, Nadia Rosenthal, Enzo R. Porrello, Céline Vivien, Fernando J. Rossello, Milena B. Furtado, Natalie Charitakis, Andrew J. Perry, Monika Mohenska, Denis Bienroth, Jessica Hatwell-Humble, Jose M. Polo, Karel van Duijvenboden, Yuan M.M. Ji, Nathalia M. Tan, Gonzalo del Monte-Nieto, Susan K. Nilsson, Hieu T. Nim, David R. Powell, David A. Elliott, Alex Tokolyi, Anja S Knaupp, Francesca Bolk |
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Přispěvatelé: | Medical Biology, ACS - Heart failure & arrhythmias, ARD - Amsterdam Reproduction and Development |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Mammals
Bioinformatics Data visualization Gene Expression Profiling Systems biology Cardiac systems Cardiac model Heart 3d model Computational biology 3D organ Biology Mammalian heart Transcriptome Novel gene Mice Spatial transcriptomics Expression (architecture) Gene expression Animals Cardiology and Cardiovascular Medicine Molecular Biology Mouse Heart |
Zdroj: | Journal of molecular and cellular cardiology, 163, 20-32. Academic Press Inc. |
ISSN: | 0022-2828 |
Popis: | 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/. |
Databáze: | OpenAIRE |
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