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Braun, T.

Publications and source records attributed to Braun, T..

39 records · Page 3Linked to original sources

NWB:N 2.0: An Accessible Data Standard for Neurophysiology

Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. With NWB:N version 2.0 (NWB:N 2.0) we made significant advances towards creating a usable standard, software ecosystem, and vibrant community for standardizing neurophysiology data. In this manuscript we focus in particular on the NWB:N data standard schema and present advances towards creating an accessible data standard for neurophysiology.

neuroscience↗

Classification of electrophysiological and morphological types in mouse visual cortex

Understanding the diversity of cell types in the brain has been an enduring challenge and requires detailed characterization of individual neurons in multiple dimensions. To profile morpho-electric properties of mammalian neurons systematically, we established a single cell characterization pipeline using standardized patch clamp recordings in brain slices and biocytin-based neuronal reconstructions. We built a publicly-accessible online database, the Allen Cell Types Database, to display these data sets. Intrinsic physiological and morphological properties were measured from over 1,800 neurons from the adult laboratory mouse visual cortex. Quantitative features were used to classify neurons into distinct types using unsupervised methods. We establish a taxonomy of morphologically- and electrophysiologically-defined cell types for this region of cortex with 17 e-types and 35 m-types, as well as an initial correspondence with previously-defined transcriptomic cell types using the same transgenic mouse lines.

neuroscience↗

Single-cell transcriptional regulations and accessible chromatin landscape of cell fate decisions in early heart development

Formation and segregation of the cell lineages forming the vertebrate heart have been studied extensively by genetic cell tracing techniques and by analysis of single marker gene expression both in embryos and differentiating ES cells. However, the underlying gene regulatory networks driving cell fate transitions during early cardiogenesis is only partially understood, in part due to limited cell numbers and substantial cellular heterogeneity within the early embryo. Here, we comprehensively characterized cardiac progenitor cells (CPC) marked by Nkx2-5 and Isl1 expression from embryonic days E7.5 to E9.5 using single-cell RNA sequencing. By leveraging on cell-to-cell heterogeneity, we identified different previously unknown cardiac sub-populations. Reconstruction of the developmental trajectory revealed that Isl1+ CPC represent a transitional cell population maintaining a prolonged multipotent state, whereas extended expression of Nkx-2.5 commits CPC to a unidirectional cardiomyocyte fate. Correlation-based analysis of cells in the unstable multipotent state uncovered underlying gene regulatory networks associated with differentiation. Furthermore, we show that CPC fate transitions are associated with distinct open chromatin states, which critically depend on Isl1 for accessibility of enhancers. In contrast, forced expression of Nkx2-5 eliminated multipotency of Isl1+ cells and established a unidirectional cardiomyocyte fate. Our data provides a transcriptional map for early cardiogenic events at single-cell resolution and establishes a general model of transcriptional and epigenetic regulations during cardiac progenitor cell fate decisions.

developmental biology↗