Patents by Inventor Yuichi Kumaki

Yuichi Kumaki has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200408769
    Abstract: A method of collecting and detecting a tumor cell contained in a sample in distinction from a contaminant cell is provided. The tumor cell contained in the sample are collected and detected in distinction from the contaminant cell by detecting any of the following polypeptides or a gene encoding the polypeptide present in the sample: (i) a polypeptide containing at least the amino acid sequence of any of six sequences such as TM4SF1 (GenBank No. NP_055035.1) and TNFRSF12A (GenBank No. NP_057723.1); (ii) a polypeptide containing at least an amino acid sequence having a homology of not less than 70% to the amino acid sequence described above; and (iii) a polypeptide containing at least a splicing variant of the amino acid sequence (the amino acid sequence of (i) or (ii) described above).
    Type: Application
    Filed: February 27, 2019
    Publication date: December 31, 2020
    Applicant: TOSOH CORPORATION
    Inventors: Yuichi Kumaki, Sayaka Hirai, Makoto Otsuki, Daisuke Miki, Toru Futami
  • Publication number: 20060265135
    Abstract: With the use of a bio-information analyzer, a total contribution showing a relationship between a gene expression regulatory sequence and a biological phenomenon is calculated. This total contribution is calculated based on contributions of a gene expression regulatory sequence to a plurality of gene candidates and contributions of the plurality of gene candidates to a biological phenomenon. By performing calculation of the total contribution for a number of gene expression regulatory sequence candidates, a profile of relationships between the respective gene expression regulatory sequence candidates and biological phenomena can be created. By using the created profile of data, a biological phenomenon-specific gene expression regulatory sequence can be predicted from new and known gene expression regulatory sequences and gene expression regulatory sequence candidates. This enables the search for various gene expression regulatory sequences in a wide variety of living organisms including higher eukaryotes.
    Type: Application
    Filed: April 4, 2006
    Publication date: November 23, 2006
    Applicants: INTEC Web and Genome Informatics, RIKEN
    Inventors: Yuichi Kumaki, Hiroki Ueda