Abstract: The present invention provides a method of in vitro modification of genomic DNA in a eukaryotic cell and a method of detecting modification. The present invention can involve, for example, introducing a nucleotide sequence having 50% or more sequence identity to any one of nucleotide sequences of retrotransposons of genomic DNA. The present invention can also involve changing an insertion position, to each neighboring sequence, of at least one of nucleotide sequences of retrotransposons. The present invention provides a modified eukaryotic cell obtained by such a method.
Abstract: The present invention provides a method for causing large-scale deletions in genomes. The present invention provides a method for identifying a gene that influences cell survival (e.g., a gene essential for survival) on a genome. The present invention also provides a method for reintroducing a gene essential for survival to another location on a genome and a method for thereby causing larger deletions in genomes.
Abstract: Provided are a genome engineering method and a genome engineering kit which can efficiently engineer two or more alleles and are capable of engineering a relatively large region. The present invention provides a genome engineering method for engineering two or more alleles, comprising the steps of: (a) introducing the following (i) and (ii) to a cell comprising the chromosome: (i) a genome engineering system comprising a sequence-specific nucleic acid cleaving molecule targeting a target region in the chromosomal genome, or a polynucleotide encoding the sequence-specific nucleic acid cleaving molecule, and (ii) two or more donor DNAs for selective markers respectively having different selective marker genes (the number of types of the donor DNAs for selective markers are equal to or more than the number of the alleles that are subject to genome engineering); and (b) selecting the cell on the basis of all the selective marker genes carried by the two or more donor DNAs for selective markers.
Type:
Application
Filed:
April 5, 2021
Publication date:
May 11, 2023
Applicants:
Logomix, Inc., Tokyo Institute of Technology
Abstract: A recommendation system can be configured to customize search results and/or recommendations of content (e.g., customized products, products, advertising, layouts, etc.) using online and/or offline activity captured on a user population. The system can be configured to customize the content returned to users to achieve specific behaviors and/or influence the current user's behavior, responsive to modeling previous users. For example, the system can capture and aggregate user behavior/activity and score content based on the actions taken with respect to the content. In some examples, the scoring can be filtered or augmented by matching current user characteristics to characteristics of the previous users. The scoring can be generated independent of the language in which the activity/user behavior occurred. According to one embodiment, the system is configured to generate language independent models and utilize the language independent modeling to deliver customized content (e.g.
Abstract: A recommendation system can be configured to customize search results and/or recommendations of content (e.g., customized products, products, advertising, layouts, etc.) using online and/or offline activity captured on a user population. The system can be configured to customize the content returned to users to achieve specific behaviors and/or influence the current user's behavior, responsive to modeling previous users. For example, the system can capture and aggregate user behavior/activity and score content based on the actions taken with respect to the content. In some examples, the scoring can be filtered or augmented by matching current user characteristics to characteristics of the previous users. The scoring can be generated independent of the language in which the activity/user behavior occurred. According to one embodiment, the system is configured to generate language independent models and utilize the language independent modeling to deliver customized content (e.g.