@article {70162, title = {Networks of sexually dimorphic neurons that regulate social behaviors in Drosophila}, journal = {bioRxiv}, year = {2025}, month = {2025 Oct 21}, abstract = {

Neural mechanisms underlying sexually dimorphic social behaviors remain enigmatic in most species. In Drosophila, sexually dimorphic P1/pC1x neurons have been described as a site of sensory integration that regulates mating and aggressive behaviors. We show that the male P1/pC1x population forms a highly intertwined network with male-specific mAL and aSP-a neurons that is poised to regulate male behavior. The 48 P1/pC1x cell types exhibit heterogeneous synaptic connections with a subset receiving strong input from identified sensory pathways. We also describe circuit motifs by which P1 and sexually dimorphic aIPg neurons co-regulate social behaviors. Genetic driver lines for these cell types were generated and used to discover distinct roles for P1/pC1x cell types in promoting social acoustic signaling and male-male interactions. Our results reveal unexpected diversity in the connectivity and behavioral roles of the P1/pC1x cell types and provide essential genetic tools for interrogating their neurophysiological and behavioral functions.

}, doi = {10.1101/2025.10.21.683766}, url = {https://www.biorxiv.org/content/early/2025/10/22/2025.10.21.683766}, author = {Rubin, Gerald M. and Managan, Claire and Dreher, Marisa and Kim, Elizabeth and Miller, Scott and Boone, Kaitlyn and Robie, Alice and Taylor, Adam L. and Branson, Kristin and Schretter, Catherine E. and Otopalik, Adriane G.} } @article {69336, title = {Molecular profiling of single neurons of known identity in two ganglia from the crab Cancer borealis}, journal = {Proceedings of the National Academy of Sciences}, volume = {116}, year = {2021}, month = {2021 Feb 12}, pages = {26980 - 26990}, abstract = {

Understanding circuit organization depends on identification of cell types. Recent advances in transcriptional profiling methods have enabled classification of cell types by their gene expression. While exceptionally powerful and high throughput, the ground-truth validation of these methods is difficult: If cell type is unknown, how does one assess whether a given analysis accurately captures neuronal identity? To shed light on the capabilities and limitations of solely using transcriptional profiling for cell-type classification, we performed 2 forms of transcriptional profiling{\textemdash}RNA-seq and quantitative RT-PCR, in single, unambiguously identified neurons from 2 small crustacean neuronal networks: The stomatogastric and cardiac ganglia. We then combined our knowledge of cell type with unbiased clustering analyses and supervised machine learning to determine how accurately functionally defined neuron types can be classified by expression profile alone. The results demonstrate that expression profile is able to capture neuronal identity most accurately when combined with multimodal information that allows for post hoc grouping, so analysis can proceed from a supervised perspective. Solely unsupervised clustering can lead to misidentification and an inability to distinguish between 2 or more cell types. Therefore, this study supports the general utility of cell identification by transcriptional profiling, but adds a caution: It is difficult or impossible to know under what conditions transcriptional profiling alone is capable of assigning cell identity. Only by combining multiple modalities of information such as physiology, morphology, or innervation target can neuronal identity be unambiguously determined.

}, issn = {0027-8424}, doi = {10.1073/pnas.1911413116}, url = {https://pnas.org/doi/full/10.1073/pnas.1911413116https://pnas.org/doi/pdf/10.1073/pnas.1911413116http://www.pnas.org/syndication/doi/10.1073/pnas.1911413116}, author = {Northcutt, Adam J. and Kick, Daniel R. and Otopalik, Adriane G. and Goetz, Benjamin M. and Harris, Rayna M. and Santin, Joseph M. and Hofmann, Hans A. and Marder, Eve and Schulz, David J.} } @article {69344, title = {Quantitative Reevaluation of the Effects of Short- and Long-Term Removal of Descending Modulatory Inputs on the Pyloric Rhythm of the Crab, Cancer borealis }, journal = {eneuro}, volume = {2}, year = {2015}, month = {2015 Jan 14}, pages = {ENEURO.0058-14.2015}, abstract = {

The crustacean stomatogastric ganglion (STG) receives descending neuromodulatory inputs from three anterior ganglia: the paired commissural ganglia (CoGs), and the single esophageal ganglion (OG). In this paper, we provide the first detailed and quantitative analyses of the short- and long-term effects of removal of these descending inputs (decentralization) on the pyloric rhythm of the STG. Thirty minutes after decentralization, the mean frequency of the pyloric rhythm dropped from 1.20 Hz in control to 0.52 Hz. Whereas the relative phase of pyloric neuron activity was approximately constant across frequency in the controls, after decentralization this changed markedly. Nine control preparations kept for 5{\textendash}6 d\ in vitro\ maintained pyloric rhythm frequencies close to their initial values. Nineteen decentralized preparations kept for 5{\textendash}6 d dropped slightly in frequency from those seen at 30 min following decentralization, but then displayed stable activity over 6 d. Bouts of higher frequency activity were intermittently seen in both control and decentralized preparations, but the bouts began earlier and were more frequent in the decentralized preparations. Although the bouts may indicate that the removal of the modulatory inputs triggered changes in neuronal excitability, these changes did not produce obvious long-lasting changes in the frequency of the decentralized preparations.

}, doi = {10.1523/ENEURO.0058-14.2015}, url = {https://www.eneuro.org/lookup/doi/10.1523/ENEURO.0058-14.2015https://syndication.highwire.org/content/doi/10.1523/ENEURO.0058-14.2015}, author = {Hamood, Albert W. and Haddad, Sara A. and Otopalik, Adriane G. and Rosenbaum, Philipp and Marder, Eve} } @article {69345, title = {Differential uptake of MRI contrast agents indicates charge-selective blood-brain interface in the crayfish}, journal = {Cell and Tissue Research}, volume = {349}, year = {2012}, month = {2012 Apr 19}, pages = {493 - 503}, abstract = {

This study provides a new perspective on the long-standing problem of the nature of the decapod crustacean blood-brain interface. Previous studies of crustacean blood-brain interface permeability have relied on invasive histological, immunohistochemical and electrophysiological techniques, indicating a leaky non-selective blood-brain barrier. The present investigation involves the use of magnetic resonance imaging (MRI), a method for non-invasive longitudinal tracking of tracers in real-time. Differential uptake rates of two molecularly distinct MRI contrast agents, namely manganese (Mn(II)) and Magnevist{\textregistered} (Gd-DTPA), were observed and quantified in the crayfish,\ Cherax destructor. Contrast agents were injected into the pericardium and uptake was observed with longitudinal MRI for approximately 14.5\ h. Mn(II) was taken up quickly into neural tissue (within 6.5\ min), whereas Gd-DTPA was not taken up into neural tissue and was instead restricted to the intracerebral vasculature or excreted into nearby sinuses. Our results provide evidence for a charge-selective intracerebral blood-brain interface in the crustacean nervous system, a structural characteristic once considered too complex for a lower-order arthropod.

}, issn = {0302-766X}, doi = {10.1007/s00441-012-1413-9}, url = {http://link.springer.com/10.1007/s00441-012-1413-9http://link.springer.com/content/pdf/10.1007/s00441-012-1413-9http://link.springer.com/content/pdf/10.1007/s00441-012-1413-9.pdfhttp://link.springer.com/article/10.1007/s00441-012-1413-9/fulltext.html}, author = {Otopalik, Adriane G. and Shin, Jane and Beltz, Barbara S. and Sandeman, David C. and Kolodny, Nancy H.} }