Patent classifications
A01K2217/072
Attenuation system and use thereof
Disclosed are an attenuation system and the use thereof for attenuating plasmodia, specifically the use of an EF1g gene for attenuating plasmodia. The attenuation system regulates the expression or degradation of the EF1g gene by using a regulatory system, thereby controlling the growth of plasmodia and achieving the attenuation of plasmodia.
GENETICALLY MODIFIED T CELL RECEPTOR MICE
The invention provides a genetically modified non-human animal that comprises in its genome unrearranged T cell receptor variable gene loci, as well as embryos, cells, and tissues comprising the same. Also provided are constructs for making said genetically modified non-human animal and methods of making the same. Various methods of using the genetically modified non-human animal are also provided.
ON-BIPOLAR CELL-SPECIFIC PROMOTERS FOR OCULAR GENE DELIVERY
The present invention relates to synthetic retinal ON-bipolar cell-specific promoter sequences and their use in therapeutic transgene delivery to the eye for the improvement and/or restoration of vision. The invention features metabotropic glutamate receptor 6 (mGluR6) promoters for an increased and more specific expression in ON-bipolar cells, in particular in cone ON-bipolar cells of the human macula.
Retinoic acid-inducible gene I promoter and compositions and methods relating to same
The present disclosure provides a promoter having at least the core components of a duck retinoic acid-inducible gene I (RIG-I) promoter, as well as expression constructs having the duck RIG-I promoter operably linked to a gene product-encoding nucleic acid (e.g., an avian RIG-I protein), and recombinant host cells containing the duck RIG-I promoter, e.g., in such expression constructs. The present disclosure also provide animals genetically modified to have a gene encoding a duck RIG-I promoter operably linked to a gene product-encoding nucleic acid (e.g., an avian RIG-I protein, such as a duck RIG-I protein).
Transcription modulation in animals using CRISPR/Cas systems
Non-human animal cells and non-human animals comprising CRISPR/Cas synergistic activation mediator system components and methods of making and using such non-human animal cells and non-human animals are provided. Methods are provided for using such non-human animals to increase expression of target genes in vivo and to assess CRISPR/Cas synergistic activation mediator systems for the ability to increase expression of target genes in vivo.
CONJUGATE OF GalNAc-OLIGONUCLEOTIDE FOR DELIVERY TO LIVER AND MANUFACTURING METHOD THEREOF
The present invention provides a conjugate of an oligonucleotide having a nucleic acid sequence expected to have a pharmacological effect in hepatic parenchymal cells with a biantennary GalNAc unit, or a pharmaceutically acceptable salt thereof, and a medicament or the like containing the same as an active component.
GENETICALLY MODIFIED NON-HUMAN ANIMAL WITH HUMAN OR CHIMERIC GENES
The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) IL10R and/or a human or chimeric (e.g., humanized) IL10, and methods of use thereof.
TRANSGENIC MAMMALS AND METHODS OF USE THEREOF
Transgenic mammals that express bovine-based immunoglobulins are described herein, including transgenic rodents that express bovine-based immunoglobulins for the development of bovine therapeutic antibodies.
HIGH FREQUENCY TARGETED ANIMAL TRANSGENESIS
The present disclosure provides methods and compositions for high frequency mouse transgenesis using, for example, a Bxb1 landing pad.
CLINICAL VARIANT CLASSIFIER MODELS, MACHINE LEARNING SYSTEMS AND METHODS OF USE
Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying clinical variants of unknown or uncertain significance into a pathogenicity category using measured phenotype features extracted from phenotype assays of transgenic organism expressing the human clinical variant. Embodiments of the present invention relate generally to methods for generating classifier models using machine learning and use of those classifier models to predict the pathogenicity of a clinical variant for a specific human disease (e.g. genetic disease), assigning a patient clinical variant to a pathogenicity category (e.g. pathogenic or benign) for the specific human disease to determine whether that patient should be followed up with additional, more invasive diagnostic testing, or treatment.