Proximity labeling-based proteomic strategies applied in zebrafish identify new insights into protein network changes in heart muscle cells during regeneration and implicate Rho A as a target of ErbB2 signaling during zebrafish heart regeneration.
Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.
FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.
Synaptotagmin-7 acts synergistically with synaptotagmin-1 by placing vesicles close to the plasma membrane within reach of the SNARE/Munc13-complex, supporting their priming and setting the stage for fast and slow fusion.
Pre-complexation of vinculin with talin’s R8 domain facilitates nascent adhesion maturation by unfolding talin, increasing vinculin binding, and thereby transmitting traction forces to the environment.
A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.
A computational tool developed to construct three-dimensional anatomical atlases from two-dimensional data generates volumetrically complete and aligned atlases for all stages of development in the Allen Developing Mouse Brain Atlas.