Localization of dendritic cellular components in Drosophila melanogaster dorsal cluster dendritic arborization (da) neurons. Merged images of local cellular components (green, marked by arrowheads) with membrane marker protein, CD4-tdTOM (red). Dendritic distribution of microtubules labeled by Tau-GFP (A), F-actin labeled by GMA (B), GOPs labeled by galT-eGFP (C), and mitochondria labeled by Mito-GFP (D), was examined in dorsal cluster da neurons by using 109(2)80-Gal4 driver. Dendrite images of da neurons of Drosophila 3rd instar larva located in abdominal segments A2 to A4 were captured using confocal microscopy. Scale bar indicates 50 μm.
Systems biology, databases, and network generation. (A) The diversity of types of high-throughput data (genomics, epigenomics, transcriptomics, proteomics, metabolomics) available. The relationships among the data types are connected by edges. (B) The flow (represented by “edges”) of genetic information from DNA to protein is aligned with the diverse data types. Public repositories corresponding to each data type are listed (further description in ). (C) Network differences between correlation-based approaches and Bayesian networks approaches. The correlation (or mutual information) oriented tools, ARACNE () and WGCNA (), do not report directions of edges in networks. Bayesian-driven networks naturally reveal directed edges among the network entries. In other words, the undirected network (in left of the grey-shaded triangular) having G1, G2, and G3 entries by ARACNE and WGCNA can be differentiated into directed networks (in the right of the grey-shaded triangular), using Bayesian networks tools (–).
How does CRISPR system correctly cut target DNA? (left panel) The Procedures of producing crRNA from pre-crRNA, binding of cr-RNA:tracrRNA: Cas9 complex to the target sequence near the PAM and the cleavage of target DNA are described. (right panel) The components of figures are described at right panel.
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