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

Details

Serval ID
serval:BIB_8DAB363AA012
Type
Article: article from journal or magazin.
Collection
Publications
Title
Using positional information to provide context for biological image analysis with MorphoGraphX 2.0
Journal
eLife
Author(s)
Strauss Sören, Runions Adam, Lane Brendan, Eschweiler Dennis, Bajpai Namrata, Trozzi Nicola, Routier-Kierzkowska Anne-Lise, Yoshida Saiko, Rodrigues da Silveira Sylvia, Vijayan Athul, Tofanelli Rachele, Majda Mateusz, Echevin Emillie, Le Gloanec Constance, Bertrand-Rakusova Hana, Adibi Milad, Schneitz Kay, Bassel George W, Kierzkowski Daniel, Stegmaier Johannes, Tsiantis Miltos, Smith Richard S
ISSN
2050-084X
Publication state
Published
Issued date
05/05/2022
Peer-reviewed
Oui
Language
english
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.
Create date
10/06/2023 22:47
Last modification date
11/06/2023 7:04
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