We demonstrate the feasibility of generating thousands of transgenic Drosophila melanogaster lines in which the expression of an exogenous gene is reproducibly directed to distinct small subsets of cells in the adult brain. We expect the expression patterns produced by the collection of 5,000 lines that we are currently generating to encompass all neurons in the brain in a variety of intersecting patterns. Overlapping 3-kb DNA fragments from the flanking noncoding and intronic regions of genes thought to have patterned expression in the adult brain were inserted into a defined genomic location by site-specific recombination. These fragments were then assayed for their ability to function as transcriptional enhancers in conjunction with a synthetic core promoter designed to work with a wide variety of enhancer types. An analysis of 44 fragments from four genes found that >80% drive expression patterns in the brain; the observed patterns were, on average, comprised of <100 cells. Our results suggest that the D. melanogaster genome contains >50,000 enhancers and that multiple enhancers drive distinct subsets of expression of a gene in each tissue and developmental stage. We expect that these lines will be valuable tools for neuroanatomy as well as for the elucidation of neuronal circuits and information flow in the fly brain.
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http://dx.doi.org/10.1073/pnas.0803697105 | DOI Listing |
Brain Spine
December 2024
Department of Neurosurgery, University Hospital of Lausanne and University of Lausanne, 1011, Lausanne, Switzerland.
Introduction: While cadaveric dissections remain the cornerstone of education in skull base surgery, they are associated with high costs, difficulty acquiring specimens, and a lack of pathology in anatomical samples. This study evaluated the impact of a hand-crafted three-dimensional (3D)-printed head model and virtual reality (VR) in enhancing skull base surgery training.
Research Question: How effective are 3D-printed models and VR in enhancing training in skull base surgery?
Materials And Methods: A two-day skull base training course was conducted with 12 neurosurgical trainees and 11 faculty members.
Am J Gastroenterol
November 2024
Division of Neurogastroenterology/Motility, Medical College of Georgia, Augusta University, Augusta, Georgia.
Anorectal neuropathy causes anorectal dysfunction, yet it is poorly recognized. This stems from both a lack of understanding of the extrinsic and intrinsic innervation of the anorectum and tools for evaluation of neuronal function. Our objective was to provide an improved understanding of the neuronal networks of the anorectum and discuss its functional significance.
View Article and Find Full Text PDFProbl Radiac Med Radiobiol
December 2024
ASST Ovest Milanese, Neuroimaging Unit, Legnano (Milan), Italy, 20025Centro Diagnostico Italiano S.p.A., Department of Diagnostic Imaging and Stereotactic Radiosurgery, Milan, Italy.
Unlabelled: Brain morphology understanding is essential for radiologists, neurologists, and neurosurgeons. Historically, anatomical learning of brain relied on ex vivo specimens. Modern in vivo brain CT and MRI provide spatial, three-dimensional imaging capabilities crucial to help diagnose diseases, plan surgeries, and monitor treatment progress.
View Article and Find Full Text PDFNeurosurg Rev
November 2024
Department of Neurosurgery, Yeditepe University, School of Medicine Kosuyolu Hospital, Kosuyolu Street, Kadıkoy, İstanbul, 34718, Türkiye.
This study aims to improve understanding of the anatomy of the deep brain nuclei relevant to deep brain stimulation as well as stereotactic lesioning procedures, including radio frequency, high-focused ultrasound, and radiosurgery. We created interactive, three-dimensional virtual models from cadaveric dissections and radiological segmentation. We used five brain specimens (ten hemispheres) obtained from routine autopsies, prepared according to Klingler's method.
View Article and Find Full Text PDFArXiv
October 2024
Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
The promise of large-scale, high-resolution datasets from Electron Microscopy (EM) and X-ray Microtomography (XRM) lies in their ability to reveal neural structures and synaptic connectivity, which is critical for understanding the brain. Effectively managing these complex and rapidly increasing datasets will enable new scientific insights, facilitate querying, and support secondary use across the neuroscience community. However, without effective neurodata standards that permit use of these data across multiple systems and workflows, these valuable and costly datasets risk being underutilized especially as they surpass petascale levels.
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