8 results about "Host gene" patented technology

The invention discloses a targeted nutrient source mining method based on beef cattle intestinal type-host gene interaction, particularly relates to the field of biological information data processing, and is used for solving the problems that existing nutrient source development lacks molecular mechanism verification and is poor in targeting. The method comprises the following steps: firstly, dividing nutrition-associated intestinal types based on microbiome and transcriptome data, and constructing a co-expression network to screen host co-expression specific genes driven by the specific intestinal types; then, establishing a flora metabolite ligand set and host protein receptor model, executing molecular conformation search and Gibbs free energy calculation, and screening high-activity targeting effect factors based on physical affinity; and finally, traversal matching and quantitative screening are carried out on the natural raw material liquid chromatography-mass spectrometry data by using the targeted effect factors, and a targeted nutrition source recommendation list aiming at the specific intestine type is generated. According to the method, multi-omics correlation analysis and molecular thermodynamics verification are fused, and an accurate development closed loop from micromechanism analysis to macroscopic raw material matching is constructed.

The application discloses a construction method of a microbial-metabolite-host regulation network of summer South China calf based on Lactobacillus reuteri, and belongs to the technical field of microorganisms. The construction method comprises the following steps: collecting rumen, fecal sample and whole blood sample of the summer South China calf; obtaining microbial layer data through 16S rRNA sequencing, obtaining metabolite layer data through non-target metabolomics, and obtaining host gene / pathway layer data through whole blood transcriptomics; performing correlation analysis on multi-omics data to obtain a microbial-metabolite-host regulation correlation network. The regulation network significantly improves the growth performance of the summer South China calf, relieves diarrhea and enhances the digestive absorption function by improving the abundance of gastrointestinal beneficial bacteria, promoting the secretion of short-chain fatty acids and activating the host immune antioxidant pathway. The application realizes the precise mechanized application of probiotics by clarifying the regulation correlation among the three, and provides a mechanism-application integrated scheme for healthy breeding of calves.

The application discloses application of a host PRKCSH gene as a target point in prevention and treatment of various RNA virus infections. Experiments prove that knocking out the PRKCSH gene of a pig can significantly inhibit adhesion and invasion of Japanese B encephalitis virus to a host cell, and can also significantly inhibit replication of a classical swine fever virus, a porcine transmissible gastroenteritis virus, a Senecavirus, a porcine epidemic diarrhea virus and a porcine reproductive and respiratory syndrome virus in the host cell. In addition, knocking out the PRKCSH gene of a human can significantly inhibit replication of the Japanese B encephalitis virus in the host cell. Therefore, specific targeted editing of the PRKCSH gene or interference with protein expression of the PRKCSH gene can inhibit infection of various RNA viruses to host cells.

The invention provides a nucleic acid fragment of helicobacter pylori (HP) which is pathogenic to gastric cancer and application of the nucleic acid fragment of the helicobacter pylori (HP). In the invention, a novel gastric cancer treatment method is explored based on an HP pathogenic mechanism, a nucleic acid fragment (EC-HP-Fs) causing gastric cancer in HP is determined, and the nucleic acid fragment can participate in an HP-induced gastric cancer process through epigenetic regulation of expression of a host gene to promote the gastric cancer process, and can be used as a new target to treat gastric cancer. The invention also provides nucleic acid inhibitors for targeted modulation. The invention provides a new target for clinical treatment and detection of infectious stomach diseases caused by HP or HP.

The invention relates to the technical field of medical diagnosis, in particular to a method for identifying early hormonal femoral head necrosis by using a BMSCs exosome circRNA pedigree and application thereof.The method comprises the steps that firstly, BMSCs are separated from femoral bone marrow of an SONFH patient, after identification of morphology, differentiation capacity and surface markers, BMSCs exosomes are extracted, and the BMSCs exosomes are subjected to transmission electron microscope, nanoparticle tracking analysis and Westernblot verification; the method comprises the following steps: by taking BMSCs as an exosome, enriching circRNA in the exosome, constructing an SONFH patient-derived BMSCs exosome circRNA pedigree containing 664 circRNA through high-throughput sequencing and bioinformatics analysis, screening 111 differentially expressed circRNA, and defining that a host gene is enriched in disease-related signal channels such as Jak-STAT and the like; and finally, by comparing circRNA expression characteristics of an individual to be identified and the lineage, early SONFH identification is realized. According to the invention, the defect of insufficient early diagnosis sensitivity of traditional imaging is overcome, SONFH molecular marker resources are enriched, and the method can be applied to preparation of early SONFH diagnostic reagents and formulation of molecular typing and individualized treatment schemes.

The application discloses a targeted nutrient source mining method based on beef cattle intestinal type-host gene interaction, and particularly relates to the field of biological information data processing, and is used for solving the problems of lack of molecular mechanism verification and poor targeting of existing nutrient source development. First, based on the microbiome and transcriptome data, the nutrient-related intestinal type is divided, and the co-expression network is constructed to screen the host co-expression specific genes driven by the specific intestinal type. Then, the model of the group metabolite ligand set and the host protein receptor is established, the molecular conformation search and the Gibbs free energy calculation are performed, and the high-activity targeted effect factor is screened based on the physical affinity. Finally, the targeted effect factor is used for traversing matching and quantitative screening of natural raw material liquid chromatography-mass spectrometry data, and a targeted nutrient source recommendation list for the specific intestinal type is generated. The application combines multi-omics correlation analysis and molecular thermodynamic verification, and constructs a precise development closed loop from micro mechanism analysis to macro raw material matching.

The present invention aims to provide a method for rapidly, simply, and reliably identifying patients with nontuberculous mycobacterial lung disease (pulmonary NTM disease) compared to lung cancer patients, healthy controls, or chronic airway inflammatory diseases other than pulmonary NTM disease, as well as a marker to be used in this method. [Solution] According to the present invention, it is possible to provide a biomarker consisting of the SLC26A4 gene, the SLC26A4 protein, or the SLC26A4-AS1 gene for distinguishing between subjects with pulmonary NTM disease and lung cancer patients or healthy controls or chronic airway inflammatory diseases other than pulmonary NTM disease, a method of identification using the gene or protein, and a kit containing the gene.

Various embodiments are directed to analyzing host gene expression levels and microbial diversity in a biological sample, to determine a likelihood of lower-respiratory tract infection (LRTI) in subjects. Embodiments can include determining a probability value of a subject having LRTI based on differential gene expression of the subject and reference levels of control subjects. Embodiments can also include determining the likelihood of LRTI in subjects based on amicrobial diversity index or abundance levels of microbes that are considered as potential pathogens. Embodiments can also include applying an integrated classifier to gene expression levels, virus abundance levels, and microbial diversity to determine the likelihood of LRTI in subjects.