Serial Number
98126422
Owner
ProFound Therapeutics, Inc.Attorney
Christina M. LicursiFiling Date
Aug 10, 2023
PROTEONOMY Trademark
Serial Number: 98126422
Trademark Classes
Owner Contact Info
55 Cambridge Parkway, Suite 800E
Cambridge, MA 02142
Entity Type: 03
Legal Representation
Correspondence Address
Christina M. Licursi WOLF GREENFIELD & SACKS, P.C.
600 ATLANTIC AVENUE
BOSTON, MA 02210
United States
Trademark Details
Filing Date
August 10, 2023
Registration Date
Not Registered
Published for Opposition
August 20, 2024
Goods & Services
Medical diagnostic apparatus for testing and sequencing DNA and RNA and proteins for genomic, transcriptomic, and proteomic analysis
Software as a service (SaaS) services featuring software for life science analytics; research services in the fields of genomic, transcriptomic, and proteomic analysis; genomic and proteomic analysis and sequencing services for scientific, medical, and research purposes; medical and scientific research in the fields of genetics, genomics, proteomics, transcriptomics, epigenomics, metabolomics, meta-genomics, meta-transcriptomics, and microbiomics; DNA analysis and sequencing services for scientific, medical, and research purposes; research, development and consultancy in the field of genomics and proteomics; medical research, namely, compiling data for research purposes in the field of genomics and proteomics; providing on-line non-downloadable software for collecting, analyzing, reporting, and tracking data and information in the fields of genetics, genomics, proteomics, transcriptomics, epigenomics, metabolomics, meta-genomics, meta-transcriptomics, and microbiomics; platform as a service (PaaS) featuring computer software platforms for collecting, analyzing, reporting, and tracking data and information in the fields of genetics, genomics, proteomics, transcriptomics, epigenomics, metabolomics, meta-genomics, meta-transcriptomics, and microbiomics; software as a service (SaaS) services featuring software for collecting, analyzing, reporting, and tracking data and information in the fields of genetics, genomics, proteomics, transcriptomics, epigenomics, metabolomics, meta-genomics, meta-transcriptomics
