title: Reconstructing ERK Signaling in the Drosophila Embryo from Fixed Images.
abstract: The early Drosophila embryo provides unique opportunities for quantitative studies of ERK signaling. This system is characterized by simple anatomy, the ease of obtaining large numbers of staged embryos, and the availability of powerful tools for genetic manipulation of the ERK pathway. Here, we describe how these experimental advantages can be combined with recently developed microfluidic devices for high throughput imaging of ERK activation dynamics. We focus on the stage during the third hour of development, when ERK activation is essential for patterning of the future nerve cord. Our approach starts with an ensemble of fixed embryos stained with an antibody that recognizes the active, dually phosphorylated form of ERK. Each embryo in this ensemble provides a snapshot of the spatial and temporal pattern of ERK activation during development. We then quantitatively estimate the ages of fixed embryos using a model that links their morphology and developmental time. This model is learned based on live imaging of cellularization and gastrulation, two highly stereotyped morphogenetic processes at this stage of embryogenesis. Applying this approach, we can characterize ERK signaling at high spatial and temporal resolution. Our methodology can be readily extended to studies of ERK regulation and function in multiple mutant backgrounds, providing a versatile assay for quantitative studies of developmental ERK signaling.
authors.affiliation: Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA.|Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
authors.forename: Bomyi
authors.initials: B
authors.lastname: Lim
authors.affiliation: Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA.
authors.forename: Carmeline J
authors.initials: CJ
authors.lastname: Dsilva
authors.affiliation: Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA.|Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA.
authors.forename: Ioannis G
authors.initials: IG
authors.lastname: Kevrekidis
authors.affiliation: Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA. stas@princeton.edu.|Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA. stas@princeton.edu.
authors.forename: Stanislav Y
authors.initials: SY
authors.lastname: Shvartsman
mesh_terms: D000818:Animals; D002478:Cells, Cultured; D004330:Drosophila / Q000196:embryology / Q000378:metabolism*; D004625:Embryo, Nonmammalian / Q000378:metabolism*; D020935:MAP Kinase Signaling System; D044085:Microfluidics / Q000295:instrumentation / Q000379:methods; D008856:Microscopy, Fluorescence; D057054:Molecular Imaging / Q000379:methods*
keywords: Drosophila embryo; ERK dynamics; Quantitative imaging