3 results about "Gene model" patented technology

The application belongs to the technical field of biological gene engineering, and particularly relates to a barley HvCslf6 promoter element and application thereof in regulating the content of barley grain beta-glucan, wherein the barley HvCslf6 promoter element is located at 295bp-300bp upstream of a transcription start site of a barley HvCslf6 gene; the nucleotide sequence of the HvCslf6 promoter element is CCGTTG, and the HvCslf6 promoter element belongs to a CCAAT-box element; the gene number of the HvCslf6 gene in BARLEX Morex v3 Gene Models is HORVU.MOREX.r3.7HG0698110. The application finds a key element which can affect the content of beta-glucan in barley grains in the upstream promoter region of a main effect gene HvCslf6 of barley beta-glucan synthesis by using a gene editing technology, and thus provides a method capable of preparing transgenic plants with changed content of beta-glucan in barley grains, and provides a new means and tool for detecting and regulating the content of beta-glucan in barley grains.

The invention relates to an analysis method for mouse retinal ganglion cell morphological classification, which realizes single-cell-level accurate analysis and high-throughput integration: carrying out whole-cell patch post-clamp dendritic structure reconstruction on retinal ganglion cells, objectively quantifying parameters such as dendritic area, layering depth, dendritic asymmetry and the like, and analyzing the morphological classification of the mouse retinal ganglion cells. The subjective experience dependence of traditional Golgi staining and the resolution limitation of immunohistochemistry are thoroughly eliminated; a hierarchical classification rule is established through an automatic algorithm, manual interpretation deviation is eliminated, and the classification standardization degree is improved; the method breaks through the low-flux bottleneck of a genetic marker technology, does not need to depend on time-consuming gene model construction, synchronously analyzes the morphological diversity of cells through single cell sequencing and morphological reconstruction, and reveals that cells with similar dendritic layering positions can present functional differentiation due to transcriptome differences. The morphological analysis system established by the invention has single cell precision, high-throughput coverage and multi-dimensional relevance, and provides technical support for systematically analyzing the morphological development mechanism and subtype specificity of RGCs.

The application is particularly a control method of an Internet of Things gateway fusing communication and AI computing power, and relates to the technical field of Internet of Things gateway control, comprising: constructing a machine-understandable structured function identity file and a dynamic digital gene model for a physical device; analyzing structured service requirements and fusing multi-source context information to generate a device and network joint execution strategy meeting QoS requirements through an AI decision model; and dynamically creating a virtual communication end point based on the execution strategy.In the application, the device structured capability declaration and the dynamic digital gene model realize the transformation of the device from passive response to active capability declaration; the device automatically pushes a standardized description file containing function fingerprints, capability vectors and the like after being powered on, so that the gateway can complete identification and adaptation without pre-configuration; in cooperation with the transparent adaptation characteristics of the virtual communication end point, a standard interface is simulated on the cloud and a local agent is simulated for the device, so that the device can be accessed without modifying the firmware.