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John A. Gaynes

Researcher at University of Utah

Publications -  5
Citations -  97

John A. Gaynes is an academic researcher from University of Utah. The author has contributed to research in topics: Retinal ganglion & Zebrafish. The author has an hindex of 4, co-authored 4 publications receiving 72 citations.

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Journal ArticleDOI

Lef1-dependent hypothalamic neurogenesis inhibits anxiety

TL;DR: It is demonstrated that during evolution, a transcription factor can act through multiple mechanisms to generate a common behavioral output, and that Lef1 regulates circuit development that is fundamentally important for mediating anxiety in a wide variety of animal species.
Journal ArticleDOI

nev (cyfip2) is required for retinal lamination and axon guidance in the zebrafish retinotectal system

TL;DR: A detailed phenotypic analysis of the retinotectal projection in nev is presented and it is shown that dorsonasal axons do eventually find their correct location on the tectum, albeit after taking a circuitous path.
Book ChapterDOI

Analyzing retinal axon guidance in zebrafish.

TL;DR: Methods for labeling and visualizing retinal axons in vivo, including transient expression of DNA constructs, injection of lipophilic dyes, and time-lapse imaging, provide new ways for examining how retinalAxons are guided by their environment.
Journal ArticleDOI

The RNA Binding Protein Igf2bp1 Is Required for Zebrafish RGC Axon Outgrowth In Vivo

TL;DR: Using a timelapse assay in the zebrafish retinotectal system, it is demonstrated that the β-actin 3’UTR is sufficient to target local translation of the photoconvertible fluorescent protein Kaede in growth cones of pathfinding retinal ganglion cells (RGCs) in vivo.
Journal ArticleDOI

Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells

TL;DR: In this paper , the authors found that bipolar glutamate release emphasizes objects that emerge in the receptive field (RF) during continuous motion, and that the alteration in signal dynamics induced by novel objects was more pronounced than edge enhancement.