TY - JOUR
T1 - Using positional information to provide context for biological image analysis with MorphoGraphX 2.0
AU - Strauss, Sören
AU - Runions, Adam
AU - Lane, Brendan
AU - Eschweiler, Dennis
AU - Bajpai, Namrata
AU - Trozzi, Nicola
AU - Routier-Kierzkowska, Anne Lise
AU - Yoshida, Saiko
AU - Da Silveira, Sylvia Rodrigues
AU - Vijayan, Athul
AU - Tofanelli, Rachele
AU - Majda, Mateusz
AU - Echevin, Emillie
AU - Le Gloanec, Constance
AU - Bertrand-Rakusova, Hana
AU - Adibi, Milad
AU - Schneitz, Kay
AU - Bassel, George W.
AU - Kierzkowski, Daniel
AU - Stegmaier, Johannes
AU - Tsiantis, Miltos
AU - Smith, Richard S.
N1 - Publisher Copyright:
© Strauss et al.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85133900567&partnerID=8YFLogxK
U2 - 10.7554/eLife.72601
DO - 10.7554/eLife.72601
M3 - Article
AN - SCOPUS:85133900567
SN - 2050-084X
VL - 11
JO - eLife
JF - eLife
M1 - e72601
ER -