Patents Assigned to TGEN
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Publication number: 20230213521Abstract: The application discloses in vitro methods for diagnosing lung cancer in a subject, wherein the method comprises detecting at least one biomarker selected from the group consisting of Rho GDP dissociation inhibitor beta (ARHGDIB), alpha-tubulin 4A (TUBA4A), glutathione S-transferase omega 1 (GSTO1), filamin A (FLNA), peroxiredoxin 6 (PRDX6) and cadherin 13 (CDH13) in a biological sample from the subject, and kits for measuring said at least one biomarker.Type: ApplicationFiled: April 28, 2021Publication date: July 6, 2023Applicants: Luxembourg Institute of Health (LIH), Fred Hutchinson Cancer Center, The Translational Genomics Research Institute (TGEN)Inventors: Victoria EL KHOURY, Anna Elisabeth SCHRITZ, Yeoun Jin KIM, Guy BERCHEM, Amanda PAULOVICH, Jeffrey WHITEAKER, Konstantinos PETRITIS, Patrick PIRROTTE, Tony TEGELER
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Publication number: 20140046667Abstract: A system for creating musical content using a client terminal, wherein diverse musical information such as a desired lyric and musical scale, duration and singing technique is input from an online or cloud computer, an embedded terminal or other such client terminal by means of technology for generating musical vocal content by using computer speech synthesis technology, and then speech in which cadence is expressed in accordance with the musical scale is synthesized as speech run by being produced for the applicable duration and is transmitted to the client terminal is provided.Type: ApplicationFiled: April 17, 2012Publication date: February 13, 2014Applicant: TGENS CO., LTDInventors: Jong Hak Yeom, Won Mo Kang
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Publication number: 20120284257Abstract: A computer system maintains a biological data structure having molecular feature data. The system receives data elements indicating biological molecular features and knowledge elements that represent biological concepts. The system individually associates unique identifiers with the elements. For individual elements, the system maintains an internal element set of the other unique identifiers for the other elements that are directly associated with that one individual element. For the individual elements, the system maintains an external element set of the other unique identifiers for the other elements that have that one individual element in their own internal element sets. Although not required, the computer system may process a query indicating a search scope and a molecular feature for an individual biological entity, and responsively process the molecular feature and the elements based on the search scope to induce a knowledge sub-graph for the individual biological entity.Type: ApplicationFiled: May 3, 2012Publication date: November 8, 2012Applicant: TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN)Inventors: Spyro Mousses, Toni R. Farley, Jeffrey A. Kiefer, Charles J. Colbourn, Preston Victor Lee
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Publication number: 20120053188Abstract: The invention encompasses a compound derived from hydroxamic acid that may be used to slow the expansion of cancer cells and thus is effective in the treatment of cancer. Generally, the disclosed compound includes a benzimidazole group coupled to a hydroxyamide of five or more unsubstituted carbon atoms and any pharmaceutically acceptable salts, solvates and chemically protected forms thereof. Also disclosed are pharmacological compositions including the compound and methods of using the compound to slow the expansion of cancer cells as well as methods of using the compound to treat cancer.Type: ApplicationFiled: February 3, 2009Publication date: March 1, 2012Applicant: THE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE(TGENInventors: Tong Wang, Stephen Gately
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Publication number: 20110288785Abstract: A genomic data computer system receives a data set comprising sequenced genomic bases and associated annotations that form sequenced base-annotation pairs. The computer system determines a frequency distribution for the base-annotation pairs in the data set. The computer system determines variable-length identification codes for the base-annotation pairs based on the frequency distribution. The computer system converts the sequenced base-annotation pairs into a corresponding series of the variable-length identification codes that require a smaller amount of storage than the original data.Type: ApplicationFiled: May 17, 2011Publication date: November 24, 2011Applicant: TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN)Inventor: Waibhav Deepak Tembe
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Publication number: 20100267039Abstract: The invention pertains to methods and kits useful in the identification of and differentiation between Coccidioides immitis and Coccidioides posadasii. The methods involve the addition of oligonucleotides to mixtures containing nucleic acid isolated from a sample and performing nucleic acid amplification on the mixture.Type: ApplicationFiled: April 21, 2010Publication date: October 21, 2010Applicants: Translational Genomics Research Institute (TGen), Arizona Board of Regents - Northern Arizona UniversityInventors: Elizabeth Driebe, Paul Keim, Kelly Sheff, David Engelthaler
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Publication number: 20100120025Abstract: The present invention provides compositions and methods of using the EPHB2 gene or its related signaling pathways to detect, prognosticate, assess the risk of, prevent, or treat cancers. Cancers amenable to the present invention include, but are not limited to, prostate cancer, breast cancer, and neuroblastoma. In one aspect, the present invention provides compositions which comprise an agent capable of eradicating or alleviating an abnormality in the EPHB2 gene or its related signaling pathways. This abnormality may cause or contribute to the development or progression of cancers. In another aspect, the present invention provides methods comprising detecting an abnormality in the EPHB2 gene or its related signaling pathways. The presence or absence of such an abnormality is indicative of the risk or disease status of cancer in a person of interest.Type: ApplicationFiled: June 13, 2008Publication date: May 13, 2010Applicant: TGENInventors: Spyro Mousses, Pia Huusko, Olli-P Kallioniemi, John D. Carpten, David O. Azorsa, Jeffrey Kiefer
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Publication number: 20080261818Abstract: Methods that identify cells as pancreatic cancer cells based on assessing the expression of combinations of target molecules expressed preferentially on pancreatic cancer cells are disclosed. Combinations were initially discovered by microarray analysis and selected based upon tumor specificity, relative lack of cross-reactivity with normal tissues, and applicability as targets of multispecific ligands. The claimed methods encompass measuring the expression of three or more specific target molecules in combination and correlating positive expression of the combination with an identification of the cell as a pancreatic cancer cell.Type: ApplicationFiled: March 3, 2008Publication date: October 23, 2008Applicants: UNIVERSITY OF ARIZONA, TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN)Inventors: Haiyong Han, Robert J. Gillies, Victor J. Hruby, David L. Morse
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Patent number: 7402389Abstract: The present invention provides compositions and methods of using the EPHB2 gene or its related signaling pathways to detect, prognosticate, assess the risk of, prevent, or treat cancers. Cancers amenable to the present invention include, but are not limited to, prostate cancer, breast cancer, and neuroblastoma. In one aspect, the present invention provides compositions which comprise an agent capable of eradicating or alleviating an abnormality in the EPHB2 gene or its related signaling pathways. This abnormality may cause or contribute to the development or progression of cancers. In another aspect, the present invention provides methods comprising detecting an abnormality in the EPHB2 gene or its related signaling pathways. The presence or absence of such an abnormality is indicative of the risk or disease status of cancer in a person of interest.Type: GrantFiled: February 24, 2005Date of Patent: July 22, 2008Assignee: The Translational Genomics Research Institute (TGen)Inventors: Spyro Mousses, Pia Huusko, Olli Kallioniemi, John D. Carpten, David O. Azorsa, Jeffrey Kiefer