Biology subjects

Dickson, B.

Publications and source records attributed to Dickson, B..

6 recordsLinked to original sources

bioRxiv2022

Taste quality interactions and transformations in a sensorimotor circuit

Taste detection and hunger state dynamically regulate the decision to initiate feeding. To study how context-appropriate feeding decisions are generated, we combined synaptic resolution circuit reconstruction with targeted genetic access to specific neurons to elucidate a gustatory sensorimotor circuit for feeding initiation in adult Drosophila melanogaster. This circuit connects gustatory sensory neurons to proboscis motor neurons through three intermediate layers. Most neurons in this pathway are necessary and sufficient for proboscis extension, a feeding initiation behavior, and respond selectively to sugar taste detection. Pathway activity is amplified by hunger signals that act at select second-order neurons to promote feeding initiation in food-deprived animals. In contrast, the feeding initiation circuit is inhibited by a bitter taste pathway that impinges on premotor neurons, illuminating a local motif that weighs sugar and bitter taste detection to adjust behavioral outcome. Together, these studies reveal central mechanisms for the integration of external taste detection and internal nutritive state to flexibly execute a critical feeding decision.

neuroscience↗

bioRxiv2020

Neural circuit mechanisms of sexual receptivity in Drosophila females

Choosing a mate is one of the most consequential decisions a female will make during her lifetime. This is particularly true for species in which females either mate repeatedly with the same partner or mate infrequently but use the sperm from a single copulation to fertilize eggs over an extended period of time. Drosophila melanogaster uses the latter strategy. Here, we characterize the neural circuitry that implements mating decisions in the female brain. A female fly signals her mating choice by opening her vaginal plates to allow a courting male to copulate1,2. Vaginal plate opening (VPO) occurs in response to the male courtship song and is dependent upon the female's mating status. We sought to understand how these exteroceptive (song) and interoceptive (mating status) inputs are integrated to control VPO. We show that VPO is triggered by a pair of female-specific descending neurons, the vpoDNs. The vpoDNs receive excitatory input from vpoEN auditory neurons, which are tuned to specific features of the melanogaster song. The song responses of vpoDNs, but not vpoENs, are attenuated upon mating, accounting for the reduced receptivity of mated females. This modulation is mediated by pC1 neurons, which encode the females mating status3,4 and also provide excitatory input to vpoDNs. The vpoDNs thus directly integrate the external and internal signals to control the mating decisions of Drosophila females.

neuroscience↗

bioRxiv2019

Molecular mechanisms of fentanyl mediated β-arrestin biased signaling

The development of novel analgesics with improved safety profiles to combat the opioid epidemic represents a central question to G protein coupled receptor structural biology and pharmacology: What chemical features dictate G protein or {beta}-arrestin signaling? Here we use adaptively biased molecular dynamics simulations to determine how fentanyl, a potent {beta}-arrestin biased agonist, activates the -opioid receptor (OR). The resulting fentanyl-bound pose provides rational insight into a wealth of historical structure-activity-relationship on its chemical scaffold. We found that fentanyl and the synthetic opioid peptide DAMGO require M153 to induce {beta}-arrestin coupling, while M153 was dispensable for G protein coupling. We propose and validate a mechanism where the n-aniline ring of fentanyl mediates OR {beta}-arrestin through a novel M153 \"microswitch\" by synthesizing fentanyl-based derivatives that exhibit complete, clinically desirable, G protein biased coupling. Together, these results provide molecular insight into fentanyl mediated {beta}-arrestin biased signaling and a rational framework for further optimization of fentanyl-based analgesics with improved safety profiles.\n\nAuthor SummaryThe global opioid crisis has drawn significant attention to the risks associated with over-use of synthetic opioids. Despite the public attention, and perhaps in-line with the profit-based incentives of the pharmaceutical industry, there is no public structure of mu-opioid receptor bound to fentanyl or fentayl derivatives. A publicly available structure of the complex would allow open-source development of safer painkillers and synthetic antagonists. Current overdose antidotes, antagonists, require natural products in their synthesis which persists a sizable barrier to market and develop better antidotes. In this work we use advance molecular dynamics techniques to obtain the bound geometry of mu-opioid receptor with fentanyl (and derivatives). Based on our in-silico structure, we synthesized and tested novel compounds to validate our predicted structure. Herein we report the bound state of several dangerous fentanyl derivatives and introduce new derivatives with signaling profiles that may lead to lower risk of respiratory depression.

biophysics↗

bioRxiv2019

siQ-ChIP:A reverse-engineered quantitative framework for ChIP-sequencing

Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is a key technique for mapping the distribution and relative abundance of histone posttranslational modifications (PTMs) and chromatin-associated factors across genomes. There is a perceived challenge regarding the ability to quantitatively plot ChIP-seq data, and as such, approaches making use of exogenous additives, or \"spike-ins\" have recently been developed. Relying on the fact that the IP step of ChIP-seq is a competitive binding reaction, we present a quantitative framework for ChIP-seq analysis that circumvents the need to modify standard sample preparation pipelines with spike-in reagents. We also introduce a visualization technique that, when paired with our formal developments, produces a much more rich characterization of sequencing data.

genomics↗

bioRxiv2018

Split-QF system for fine-tuned transgene expression in Drosophila

The Q-system is a binary expression system that works well across species. Here we report the development of a split-QF system that drives strong expression, is repressible by QS and inducible by quinic acid. The split-QF system is fully compatible with existing split-GAL4 and split-LexA lines for advanced intersectional experiments, thus greatly expanding the range of possible anatomical, physiological and behavioural assays in Drosophila.

neuroscience↗

bioRxiv2017

The VT GAL4, LexA, and split-GAL4 driver line collections for targeted expression in the Drosophila nervous system

In studying the cellular interactions within complex tissues, it is extremely valuable to be able to reproducibly and flexibly target transgene expression to restricted subsets of cells. This approach is particularly valuable in studying the nervous system, with its bewildering diversity of neuronal cell types. We report here the generation of over 18,000 driver lines (the VT collection) that exploit the GAL4, LexA, and split-GAL4 systems to express transgenes in distinct and highly specific cell types in Drosophila. We document the expression patterns of over 14,000 of these lines in the adult male brain.

neuroscience↗