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Scharff, C.

Publications and source records attributed to Scharff, C..

3 recordsLinked to original sources

Do it yourself: Creating 3D brain-surface models and custom-made brain matrices for guided sectioning using photogrammetry and three-dimensional printing technology

Neuroethologists study many non-model animals. The development of techniques for precise and standardized histological brain analysis is key for understanding neural mechanisms across species. Here we present a novel cost-effective approach combining photogrammetry and three-dimensional printing technology to generate 3D brain surface models and produce species-specific brain matrices for precise and reproducible trimming, blocking, and sectioning of brain tissue. Using this strategy, we generated the first 3D brain surface model and brain matrix for Sebas short-tailed fruit bat Carollia perspicillata, CP. We generated the 3D brain surface model with the open-source 3D graphics suite Blender and its inexpensive photogrammetry plug-in Snapmesh. High-quality photographs of two male CP brains were used for the 3D-reconstruction, resulting in a 3D surface model. Photogrammetry thus offers a viable, cheap alternative to techniques otherwise requiring access to costly 3D- or CT-scanners. The brain matrix was then modeled using Blender, and printed using a 3D printer. Our brain matrix facilitates and standardizes trimming or blocking of brains, providing consistent access to brain regions of CP in the sagittal and coronal planes. Using this workflow, brain surface models and brain matrices can be produced from brains without tissue loss. Our approach provides an affordable, and tissue-preserving alternative for the generation of 3D brain surface models and brain matrices and will benefit researchers globally, especially those with limited funding, no access to scanners or working with particularly valuable specimen.

neuroscience↗

Reannotation of the zebra finch genome reveals undiscovered transcriptional complexity

The zebra finch has become a paradigmatic model system to mechanistically investigate vocal communication from genes to behavior. Here, we report 1) a comprehensive map of the polyadenylated fraction of the transcriptome of the male zebra finch telencephalon at two ages, during the song learning phase at 50 days and when fully adult at 2 years as well as 2) as an expanded and refined annotation of the zebra finch genome based on our transcriptome data. Using high-throughput next generation sequencing of paired-end strand- specific cDNA fragments, we detected over 50% of the annotated protein coding transcripts (ENSEMBL v.55) in the telencephalon at both stages. We exploited the information gained from the paired-end sequence reads and from reads falling onto splice junctions to update the existing annotation (ENS55) with new transcript structures and alternative splicing events. The dataset allowed to refine 2822 of the available gene models by extending them in the 3-UTR and to detect 11391 undiscovered transcriptional units in non-coding regions. Our results illustrate the value of continuously incorporating new transcriptional evidence into existing annotations.

molecular biology↗

Fundamental Constraints In Synchronous Muscle Limit Superfast Motor Control In Vertebrates

Superfast muscles (SFM) are extremely fast synchronous muscles capable of contraction rates up to 250 Hz, enabling precise motor execution at the millisecond time scale. To allow such speed, the archetypal SFM, found in the toadfish swimbladder, has hallmark structural and kinetic adaptations at each step of the conserved excitation-contraction coupling (ECC) pathway. More recently SFM phenotypes have been discovered in most major vertebrate lineages, but it remains unknown whether all SFM share ECC adaptations for speed, and if SFM arose once, or from independent evolutionary events. Here we use genomic analysis to identify the myosin heavy chain genes expressed in bat and songbird SFM to achieve rapid actomyosin crossbridge kinetics and demonstrate that these are evolutionarily and ontologically distinct. Furthermore, by quantifying cellular morphometry and calcium signal transduction combined with force measurements we show that all known SFM share multiple functional adaptations that minimize ECC transduction times. Our results suggest that SFM evolved independently in sound producing organs in ray-finned fish, birds, and mammals, and that SFM phenotypes operate at a maximum operational speed set by fundamental constraints in synchronous muscle. Consequentially, these constraints set a fundamental limit to the maximum speed of fine motor control.

physiology↗