Modified reverse transcriptases
    5.
    发明授权

    公开(公告)号:US12221633B2

    公开(公告)日:2025-02-11

    申请号:US18348544

    申请日:2023-07-07

    Abstract: The present disclosure provides methods and systems for amplifying and analyzing nucleic acid samples. The present disclosure provides methods for preparing cDNA and/or DNA molecules and cDNA and/or DNA libraries using modified reverse transcriptases.

    Borrelia immunoassays and materials therefor

    公开(公告)号:US12188931B2

    公开(公告)日:2025-01-07

    申请号:US17562055

    申请日:2021-12-27

    Abstract: The present invention relates to an immunoassay for the detection of Borrelia specific IgG, IgM and IgG/IgM antibodies in biological samples suspected of Lyme infection. The immunoassay can be performed via a standard immunoassay format or on an automated platform. In various embodiments, the immunoassay uses one or more Borrelia specific chimeric peptides VlsE-FlaB (designated pFlaB-mV), VlsE-ErpP (designated pErp59-mV), VlsE-P35 (designated pP35-mV) alone or in combination with one or more outer surface protein C (Osp C) types B or I, p58 and DbpA. Other aspects of the invention provide antigen/substrate combinations and compositions comprising combinations of the disclosed peptides and/or proteins for use in the immunoassays described herein.

    System and method for conducting virtual crossover studies in clinical diagnostic processes

    公开(公告)号:US12148511B2

    公开(公告)日:2024-11-19

    申请号:US17338937

    申请日:2021-06-04

    Abstract: A clinical diagnostic analyzer for performing a virtual crossover study on quality control (QC) material includes a processor, memory, measurement hardware, and an input panel/display. The analyzer acquires data from a peer group relating to a new lot of quality control material to calculate a predicted mean and standard deviation based on that peer group data and adjusted for bias in the laboratory process. As new analyses are run on the new lot of QC material, the predicted mean and standard deviation are updated to incorporate the actual data on a weighted basis.

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