Back to Search Start Over

Using positional information to provide context for biological image analysis with MorphoGraphX 2.0

Authors :
Sören Strauss
Adam Runions
Brendan Lane
Dennis Eschweiler
Namrata Bajpai
Nicola Trozzi
Anne-Lise Routier-Kierzkowska
Saiko Yoshida
Sylvia Rodrigues da Silveira
Athul Vijayan
Rachele Tofanelli
Mateusz Majda
Emillie Echevin
Constance Le Gloanec
Hana Bertrand-Rakusova
Milad Adibi
Kay Schneitz
George W Bassel
Daniel Kierzkowski
Johannes Stegmaier
Miltos Tsiantis
Richard S Smith
Source :
eLife, Vol 11 (2022)
Publication Year :
2022
Publisher :
eLife Sciences Publications Ltd, 2022.

Abstract

Positional information is a central concept in developmental biology. In developing organs, positional information can be idealized as a local coordinate system that arises from morphogen gradients controlled by organizers at key locations. This offers a plausible mechanism for the integration of the molecular networks operating in individual cells into the spatially coordinated multicellular responses necessary for the organization of emergent forms. Understanding how positional cues guide morphogenesis requires the quantification of gene expression and growth dynamics in the context of their underlying coordinate systems. Here, we present recent advances in the MorphoGraphX software (Barbier de Reuille et al., 2015⁠) that implement a generalized framework to annotate developing organs with local coordinate systems. These coordinate systems introduce an organ-centric spatial context to microscopy data, allowing gene expression and growth to be quantified and compared in the context of the positional information thought to control them.

Details

Language :
English
ISSN :
2050084X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.2d365e3c7d3644d0a49c886062f57d0e
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.72601