Biology subjects

Gibney, T.

Publications and source records attributed to Gibney, T..

3 recordsLinked to original sources

bioRxiv2026

Understanding How Actomyosin Dynamics Drive Apical Constriction by Systematically Tagging and Mapping Actin-Binding Proteins

Apical constriction shapes tissues in fundamental events including gastrulation and neural tube formation. Diverse actin regulators play key roles in shaping cells, but the spatial distribution of most actin regulators in apical constriction is unknown. Here, we describe a systematic approach revealing the endogenous localization of 49 actin regulators in C. elegans gastrulation -- nearly every actin-binding protein (ABP) expressed in the early embryo -- and we use this atlas to test mechanistic hypotheses. We found that many actin regulators localized basolaterally, dependent on the Arp2/3 complex; that linear actin assembly factors enriched apically; and that apically constricting cells had an extra requirement for membrane-cortical linkers present in all cells. These findings answer some key questions about how ABPs function in apical constriction, and they establish a rich resource for investigating actin organization throughout early C. elegans development and a systematic in vivo protein localization reference for the actin cytoskeleton community.

cell biology↗

bioRxiv2020

An image resource of subdivided Drosophila GAL4-driver expression patterns for neuron-level searches

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally lack the single-cell resolution required for reliable cell type identification. Here we use stochastic GAL4 labeling with the MultiColor FlpOut approach to generate cellular resolution confocal images at large scale. We are releasing aligned images of 74,000 such adult central nervous systems. An anticipated use of this resource is to bridge the gap between neurons identified by electron or light microscopy. Identifying individual neurons that make up each GAL4 expression pattern improves the prediction of split-GAL4 combinations targeting particular neurons. To this end we have made the images searchable on the NeuronBridge website. We demonstrate the potential of NeuronBridge to rapidly and effectively identify neuron matches based on morphology across imaging modalities and datasets.

neuroscience↗

bioRxiv2018

Modular, part-based control of gene expression response time using protein degradation tags

A fundamental principle of cellular signal processing is the encoding of information within the temporal dynamics of regulatory circuits. If synthetic circuits are to achieve the versatility and effectiveness of naturally-occurring circuits, it is necessary to develop simple, effective methods for the control of the dynamical properties of genetic circuits. However, current approaches to dynamical control often require extensive rewiring of circuit architecture, which hinders their implementation in a variety of systems. Therefore, it is essential that simple, modular, genetic parts-based frameworks are created to control the dynamical properties of circuits. Here we address this need by implementing a modular, genetic parts-based system which tunes the response time of a genes expression by tuning its degradation rate via the application of protein degradation tags with various affinities to their protease. This system provides a simple, easily- applicable framework for controlling the temporal aspects of genetic circuit behavior.

bioengineering↗