@article {68422, title = {Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly.}, journal = {Science}, volume = {375}, year = {2022}, month = {03/2022}, pages = {eabk2432}, abstract = {

For more than 100 years, the fruit fly has been one of the most studied model organisms. Here, we present a single-cell atlas of the adult fly, Tabula , that includes 580,000 nuclei from 15 individually dissected sexed tissues as well as the entire head and body, annotated to \>250 distinct cell types. We provide an in-depth analysis of cell type-related gene signatures and transcription factor markers, as well as sexual dimorphism, across the whole animal. Analysis of common cell types between tissues, such as blood and muscle cells, reveals rare cell types and tissue-specific subtypes. This atlas provides a valuable resource for the community and serves as a reference to study genetic perturbations and disease models at single-cell resolution.

}, keywords = {Animals, Cell Nucleus, Databases, Genetic, Drosophila melanogaster, Drosophila Proteins, Female, Gene Expression Regulation, Gene Regulatory Networks, Genes, Insect, Male, RNA-Seq, Sex Characteristics, Single-Cell Analysis, Transcription Factors, Transcriptome}, issn = {1095-9203}, doi = {10.1126/science.abk2432}, author = {Li, Hongjie and Janssens, Jasper and De Waegeneer, Maxime and Kolluru, Sai Saroja and Davie, Kristofer and Gardeux, Vincent and Saelens, Wouter and David, Fabrice P A and Brbi{\'c}, Maria and Spanier, Katina and Leskovec, Jure and McLaughlin, Colleen N and Xie, Qijing and Jones, Robert C and Brueckner, Katja and Shim, Jiwon and Tattikota, Sudhir Gopal and Schnorrer, Frank and Rust, Katja and Nystul, Todd G and Carvalho-Santos, Zita and Ribeiro, Carlos and Pal, Soumitra and Mahadevaraju, Sharvani and Przytycka, Teresa M and Allen, Aaron M and Goodwin, Stephen F and Berry, Cameron W and Fuller, Margaret T and White-Cooper, Helen and Matunis, Erika L and DiNardo, Stephen and Galenza, Anthony and O{\textquoteright}Brien, Lucy Erin and Dow, Julian A T and Jasper, Heinrich and Oliver, Brian and Perrimon, Norbert and Deplancke, Bart and Quake, Stephen R and Luo, Liqun and Aerts, Stein and Agarwal, Devika and Ahmed-Braimah, Yasir and Arbeitman, Michelle and Ariss, Majd M and Augsburger, Jordan and Ayush, Kumar and Baker, Catherine C and Banisch, Torsten and Birker, Katja and Bodmer, Rolf and Bolival, Benjamin and Brantley, Susanna E and Brill, Julie A and Brown, Nora C and Buehner, Norene A and Cai, Xiaoyu Tracy and Cardoso-Figueiredo, Rita and Casares, Fernando and Chang, Amy and Clandinin, Thomas R and Crasta, Sheela and Desplan, Claude and Detweiler, Angela M and Dhakan, Darshan B and Don{\`a}, Erika and Engert, Stefanie and Floc{\textquoteright}hlay, Swann and George, Nancy and Gonz{\'a}lez-Segarra, Amanda J and Groves, Andrew K and Gumbin, Samantha and Guo, Yanmeng and Harris, Devon E and Heifetz, Yael and Holtz, Stephen L and Horns, Felix and Hudry, Bruno and Hung, Ruei-Jiun and Jan, Yuh Nung and Jaszczak, Jacob S and Jefferis, Gregory S X E and Karkanias, Jim and Karr, Timothy L and Katheder, Nadja Sandra and Kezos, James and Kim, Anna A and Kim, Seung K and Kockel, Lutz and Konstantinides, Nikolaos and Kornberg, Thomas B and Krause, Henry M and Labott, Andrew Thomas and Laturney, Meghan and Lehmann, Ruth and Leinwand, Sarah and Li, Jiefu and Li, Joshua Shing Shun and Li, Kai and Li, Ke and Li, Liying and Li, Tun and Litovchenko, Maria and Liu, Han-Hsuan and Liu, Yifang and Lu, Tzu-Chiao and Manning, Jonathan and Mase, Anjeli and Matera-Vatnick, Mikaela and Matias, Neuza Reis and McDonough-Goldstein, Caitlin E and McGeever, Aaron and McLachlan, Alex D and Moreno-Roman, Paola and Neff, Norma and Neville, Megan and Ngo, Sang and Nielsen, Tanja and O{\textquoteright}Brien, Caitlin E and Osumi-Sutherland, David and Ozel, Mehmet Neset and Papatheodorou, Irene and Petkovic, Maja and Pilgrim, Clare and Pisco, Angela Oliveira and Reisenman, Carolina and Sanders, Erin Nicole and Dos Santos, Gilberto and Scott, Kristin and Sherlekar, Aparna and Shiu, Philip and Sims, David and Sit, Rene V and Slaidina, Maija and Smith, Harold E and Sterne, Gabriella and Su, Yu-Han and Sutton, Daniel and Tamayo, Marco and Tan, Michelle and Tastekin, Ibrahim and Treiber, Christoph and Vacek, David and Vogler, Georg and Waddell, Scott and Wang, Wanpeng and Wilson, Rachel I and Wolfner, Mariana F and Wong, Yiu-Cheung E and Xie, Anthony and Xu, Jun and Yamamoto, Shinya and Yan, Jia and Yao, Zepeng and Yoda, Kazuki and Zhu, Ruijun and Zinzen, Robert P} } @article {68447, title = {A transcriptional reporter of intracellular Ca(2+) in Drosophila.}, journal = {Nat Neurosci}, volume = {18}, year = {2015}, month = {06/2015}, pages = {917-25}, abstract = {

Intracellular Ca(2+) is a widely used neuronal activity indicator. Here we describe a transcriptional reporter of intracellular Ca(2+) (TRIC) in Drosophila that uses a binary expression system to report Ca(2+)-dependent interactions between calmodulin and its target peptide. We found that in vitro assays predicted in vivo properties of TRIC and that TRIC signals in sensory systems depend on neuronal activity. TRIC was able to quantitatively monitor neuronal responses that changed slowly, such as those of neuropeptide F-expressing neurons to sexual deprivation and neuroendocrine pars intercerebralis cells to food and arousal. Furthermore, TRIC-induced expression of a neuronal silencer in nutrient-activated cells enhanced stress resistance, providing a proof of principle that TRIC can be used for circuit manipulation. Thus, TRIC facilitates the monitoring and manipulation of neuronal activity, especially those reflecting slow changes in physiological states that are poorly captured by existing methods. TRIC{\textquoteright}s modular design should enable optimization and adaptation to other organisms.

}, keywords = {Animals, Calcium, Calcium Signaling, Cells, Cultured, Drosophila, Molecular Sequence Data, Mutagenesis, Neural Pathways, Olfactory Pathways, Optic Lobe, Nonmammalian, Stress, Psychological, Synaptic Transmission, Visual Pathways}, issn = {1546-1726}, doi = {10.1038/nn.4016}, author = {Gao, Xiaojing J and Riabinina, Olena and Li, Jiefu and Potter, Christopher J and Clandinin, Thomas R and Luo, Liqun} } @article {48390, title = {Flies and humans share a motion estimation strategy that exploits natural scene statistics.}, journal = {Nature neuroscience}, volume = {17}, year = {2014}, month = {2014 Feb}, pages = {296-303}, abstract = {

Sighted animals extract motion information from visual scenes by processing spatiotemporal patterns of light falling on the retina. The dominant models for motion estimation exploit intensity correlations only between pairs of points in space and time. Moving natural scenes, however, contain more complex correlations. We found that fly and human visual systems encode the combined direction and contrast polarity of moving edges using triple correlations that enhance motion estimation in natural environments. Both species extracted triple correlations with neural substrates tuned for light or dark edges, and sensitivity to specific triple correlations was retained even as light and dark edge motion signals were combined. Thus, both species separately process light and dark image contrasts to capture motion signatures that can improve estimation accuracy. This convergence argues that statistical structures in natural scenes have greatly affected visual processing, driving a common computational strategy over 500 million years of evolution.

}, keywords = {Adaptation, Physiological, Animals, Contrast Sensitivity, Drosophila, Electroencephalography, Evoked Potentials, Visual, Genotype, Humans, Models, Neurological, Motion Perception, Pattern Recognition, Visual, Photic Stimulation, Psychophysics}, issn = {1546-1726}, doi = {10.1038/nn.3600}, author = {Clark, Damon A and Fitzgerald, James E and Ales, Justin M and Gohl, Daryl M and Silies, Marion A and Norcia, Anthony M and Clandinin, Thomas R} } @article {48393, title = {Symmetries in stimulus statistics shape the form of visual motion estimators.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {108}, year = {2011}, month = {2011 Aug 02}, pages = {12909-14}, abstract = {

The estimation of visual motion has long been studied as a paradigmatic neural computation, and multiple models have been advanced to explain behavioral and neural responses to motion signals. A broad class of models, originating with the Reichardt correlator model, proposes that animals estimate motion by computing a temporal cross-correlation of light intensities from two neighboring points in visual space. These models provide a good description of experimental data in specific contexts but cannot explain motion percepts in stimuli lacking pairwise correlations. Here, we develop a theoretical formalism that can accommodate diverse stimuli and behavioral goals. To achieve this, we treat motion estimation as a problem of Bayesian inference. Pairwise models emerge as one component of the generalized strategy for motion estimation. However, correlation functions beyond second order enable more accurate motion estimation. Prior expectations that are asymmetric with respect to bright and dark contrast use correlations of both even and odd orders, and we show that psychophysical experiments using visual stimuli with symmetric probability distributions for contrast cannot reveal whether the subject uses odd-order correlators for motion estimation. This result highlights a gap in previous experiments, which have largely relied on symmetric contrast distributions. Our theoretical treatment provides a natural interpretation of many visual motion percepts, indicates that motion estimation should be revisited using a broader class of stimuli, demonstrates how correlation-based motion estimation is related to stimulus statistics, and provides multiple experimentally testable predictions.

}, keywords = {Algorithms, Animals, Computer Simulation, Models, Neurological, Motion, Motion Perception, Photic Stimulation, Time Factors}, issn = {1091-6490}, doi = {10.1073/pnas.1015680108}, author = {Fitzgerald, James E and Katsov, Alexander Y and Clandinin, Thomas R and Schnitzer, Mark J} }