Patents by Inventor Matthew Sekedat

Matthew Sekedat 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).

  • Patent number: 11959129
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Grant
    Filed: October 13, 2021
    Date of Patent: April 16, 2024
    Assignee: Enumera Molecular, Inc.
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Jr., Sharat Singh, Jeff Perry, Steven Lockton, Chandni Jain, Natalie Mae Jameson-Kiesling
  • Patent number: 11788121
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: October 17, 2023
    Assignee: Enumera Molecular, Inc.
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Sharat Singh, Jeff Perry
  • Publication number: 20220282315
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Application
    Filed: October 13, 2021
    Publication date: September 8, 2022
    Inventors: Matthew SEKEDAT, Jeffrey BUIS, Ronald David BEAUBIEN, JR., Sharat SINGH, Jeff PERRY, Steven LOCKTON, Chandni JAIN, Natalie Mae JAMESON-KIESLING
  • Publication number: 20220090180
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Application
    Filed: December 7, 2021
    Publication date: March 24, 2022
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Sharat Singh, Jeff Perry
  • Patent number: 11230731
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Grant
    Filed: April 2, 2019
    Date of Patent: January 25, 2022
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Jr., Sharat Singh, Jeff Perry
  • Patent number: 11186863
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: November 30, 2021
    Assignee: Progenity, Inc.
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Jr., Sharat Singh, Jeff Perry, Steven Lockton, Chandni Jain, Natalie Mae Jameson-Kiesling
  • Publication number: 20210164029
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Application
    Filed: January 15, 2021
    Publication date: June 3, 2021
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, JR., Sharat Singh, Jeff Perry, Steven Lockton, Chandni Jain, Natalie Mae Jameson-Kiesling
  • Publication number: 20210139963
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Application
    Filed: January 15, 2021
    Publication date: May 13, 2021
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, Jr., Sharat Singh, Jeff Perry
  • Patent number: 10947595
    Abstract: Methods and nucleic acid molecules for detecting chromosomal abnormalities such as aneuploidy. Methods for selecting nucleic acid molecules for use in the methods of the disclosure.
    Type: Grant
    Filed: July 30, 2020
    Date of Patent: March 16, 2021
    Assignee: Progenity, Inc.
    Inventors: Tobias Mann, Heng Wang, Jung H. Kim, Matthew Sekedat
  • Publication number: 20200354792
    Abstract: Methods and nucleic acid molecules for detecting chromosomal abnormalities such as aneuploidy. Methods for selecting nucleic acid molecules for use in the methods of the disclosure.
    Type: Application
    Filed: July 30, 2020
    Publication date: November 12, 2020
    Inventors: Tobias Mann, Heng Wang, Jung H. Kim, Matthew Sekedat
  • Publication number: 20200048689
    Abstract: Compositions and methods, systems, and kits for detecting and quantifying variations in numbers of molecules, particularly variations in gene dosage, e.g., due to gene duplication, or to variations from the normal euploid complement of chromosomes, e.g., trisomy of one or more chromosomes that are normally found in diploid pairs, without digital sequencing.
    Type: Application
    Filed: April 2, 2019
    Publication date: February 13, 2020
    Inventors: Matthew Sekedat, Jeffrey Buis, Ronald David Beaubien, JR., Sharat Singh, Jeff Perry
  • Publication number: 20200032344
    Abstract: Methods and nucleic acid molecules for detecting chromosomal abnormalities such as aneuploidy. Methods for selecting nucleic acid molecules for use in the methods of the disclosure.
    Type: Application
    Filed: October 8, 2019
    Publication date: January 30, 2020
    Inventors: Tobias Mann, Heng Wang, Jung H. Kim, Matthew Sekedat
  • Patent number: 10465245
    Abstract: Methods and nucleic acid molecules for detecting chromosomal abnormalities such as aneuploidy. Methods for selecting nucleic acid molecules for use in the methods of the disclosure.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: November 5, 2019
    Assignee: Progenity, Inc.
    Inventors: Tobias Mann, Heng Wang, Jung H. Kim, Matthew Sekedat
  • Publication number: 20170183731
    Abstract: Methods and nucleic acid molecules for detecting chromosomal abnormalities such as aneuploidy. Methods for selecting nucleic acid molecules for use in the methods of the disclosure.
    Type: Application
    Filed: July 29, 2016
    Publication date: June 29, 2017
    Inventors: Tobias Mann, Heng Wang, Jung H. Kim, Matthew Sekedat
  • Publication number: 20070077600
    Abstract: The present invention is method of determining whether or not associations between a given protein and other proteins in a cell are specific.
    Type: Application
    Filed: August 21, 2006
    Publication date: April 5, 2007
    Inventors: Brian Chait, Alan Tackett, Jeffrey DeGrasse, Marlene Oeffinger, Michael Rout, Matthew Sekedat