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Biology subjects

Choi, N.

Publications and source records attributed to Choi, N..

3 recordsLinked to original sources

Novel mechanisms of chemosensory adaptation to the cave environment

Smell allows animals to find food, avoid danger, and communicate through the binding of odorants to chemosensory receptors on olfactory sensory neurons. The vision-priority hypothesis predicts an antagonistic relationship between olfaction and vision, in which olfactory ability increases as visual acuity decreases along evolutionary lineages, a tradeoff that often occurs through expansion and contraction of chemosensory receptor gene families. The Mexican tetra (Astyanax mexicanus), a fish species with both sighted surface-dwelling and blind cave-dwelling populations, presents an ideal model for exploring the mechanisms underlying this tradeoff. Here we show that although cavefish can sense odorants at lower concentrations than surface fish, they do not have an expanded repertoire of chemosensory receptors, increased sensory neuron number or density, or enhanced expression of receptors compared to surface fish. Instead, cavefish have physiological adaptations to the olfactory epithelium, including more motile cilia and decreased flow rate through the olfactory pits. Pharmacological attenuation of flow rate in the olfactory pits in surface fish increased visits to the odorant source, suggesting that the reduced flow rate in cavefish is an adaptation leading to better foraging. This unexpected evolutionary path to enhanced olfaction as a compensation for loss of vision underscores the need for mechanistic understanding of comparative genomics.

evolutionary biology↗

Differential receptor crosstalk in DRD1-DRD2 heterodimer upon phasic and tonic dopamine signals

In response to phasic and tonic release, dopamine neurotransmission is regulated by its receptor subtypes, mainly dopamine receptor type 1 and 2 (DRD1 and DRD2). These dopamine receptors are known to form a heterodimer, however the receptor crosstalk between DRD1 and DRD2 was only suspected by measuring their downstream signaling products, due to the lack of methodology for selectively detecting individual activity of different dopamine receptors. Here, we develop red DRD1 sensor (R-DRD1) and green DRD2 sensor (G-DRD2) which can specifically monitor the real-time activity of DRD1 and DRD2, and apply these multicolor sensors to directly measure the receptor crosstalk in the DRD1-DRD2 heterodimer. Surprisingly, we discover that DRD1 activation in the heterodimer is inhibited only at micromolar phasic concentration of dopamine, while DRD2 activation is selectively inhibited at nanomolar tonic dopamine level. Differential receptor crosstalk in the DRD1-DRD2 heterodimer further modulates their downstream cAMP level. These data imply a novel function of the DRD1-DRD2 heterodimer at physiological dopamine levels of phasic and tonic release. Our approach utilizing multicolor receptor sensors will be useful to discover novel function of GPCR heterodimers.

neuroscience↗

Deep-learning based hologram classification for molecular diagnostics

Lens-free digital in-line holography (LDIH) is a promising microscopic tool that overcomes several drawbacks (e.g., limited field of view) of traditional lens-based microcopy. However, extensive computation is required to reconstruct object images from the complex diffraction patterns produced by LDIH, which limits LDIH utility for point-of-care applications, particularly in resource limited settings. Here, we describe a deep transfer learning (DTL) based approach to process LDIH images in the context of cellular analyses. Specifically, we captured holograms of cells labeled with molecular-specific microbeads and trained neural networks to classify these holograms without reconstruction. Using raw holograms as input, the trained networks were able to classify individual cells according to the number of cell-bound microbeads. The DTL-based approach including a VGG19 pretrained network showed robust performance even with noisy experimental data. Combined with the developed DTL approach, LDIH could be realized as a low-cost, portable tool for point-of-care diagnostics.

bioengineering↗