The Experts below are selected from a list of 12060 Experts worldwide ranked by ideXlab platform

Sarah M Schmidt - One of the best experts on this subject based on the ideXlab platform.

  • Diagnostic Kit for rice blight resistance
    Nature Biotechnology, 2019
    Co-Authors: Genelou Atienzagrande, Jungil Yang, Chonghui Ji, Jose C Huguettapia, Si Nian Char, Hanna Nguyen, Sarah M Schmidt
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. Strategic deployment of blight-resistant rice lines is enabled by a molecular Diagnostic Kit.

Hanna Nguyen - One of the best experts on this subject based on the ideXlab platform.

  • Diagnostic Kit for rice blight resistance
    Nature Biotechnology, 2019
    Co-Authors: Genelou Atienzagrande, Jungil Yang, Chonghui Ji, Jose C Huguettapia, Si Nian Char, Hanna Nguyen, Sarah M Schmidt
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. Strategic deployment of blight-resistant rice lines is enabled by a molecular Diagnostic Kit.

  • Diagnostic Kit for rice blight resistance.
    Nature biotechnology, 2019
    Co-Authors: Joon-seob Eom, Jungil Yang, Si Nian Char, Dangping Luo, Genelou Atienza-grande, Van Thi Luu, Jose C. Huguet-tapia, Bo Liu, Hanna Nguyen
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT-PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR-Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant 'mega' rice lines that will empower farmers to plant lines that are most likely to resist rice blight.

Jungil Yang - One of the best experts on this subject based on the ideXlab platform.

  • Diagnostic Kit for rice blight resistance
    Nature Biotechnology, 2019
    Co-Authors: Genelou Atienzagrande, Jungil Yang, Chonghui Ji, Jose C Huguettapia, Si Nian Char, Hanna Nguyen, Sarah M Schmidt
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. Strategic deployment of blight-resistant rice lines is enabled by a molecular Diagnostic Kit.

  • Diagnostic Kit for rice blight resistance.
    Nature biotechnology, 2019
    Co-Authors: Joon-seob Eom, Jungil Yang, Si Nian Char, Dangping Luo, Genelou Atienza-grande, Van Thi Luu, Jose C. Huguet-tapia, Bo Liu, Hanna Nguyen
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT-PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR-Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant 'mega' rice lines that will empower farmers to plant lines that are most likely to resist rice blight.

Genelou Atienzagrande - One of the best experts on this subject based on the ideXlab platform.

  • Diagnostic Kit for rice blight resistance
    Nature Biotechnology, 2019
    Co-Authors: Genelou Atienzagrande, Jungil Yang, Chonghui Ji, Jose C Huguettapia, Si Nian Char, Hanna Nguyen, Sarah M Schmidt
    Abstract:

    Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a Diagnostic Kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT–PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR–Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant ‘mega’ rice lines that will empower farmers to plant lines that are most likely to resist rice blight. Strategic deployment of blight-resistant rice lines is enabled by a molecular Diagnostic Kit.

Xu Weiwen - One of the best experts on this subject based on the ideXlab platform.

  • The clinic evaluation and application of the CA15-3 Diagnostic Kit with TRFIA
    Journal of Molecular Diagnostics and Therapy, 2009
    Co-Authors: Xu Weiwen
    Abstract:

    Objective To investigate the value of the home made new Kit(CA15-3-TRFIA) for detection of CA15-3 by the time-resolved fluoroimmunoassay (TRFIA). Methods Compared with the techniques of ECL, measuring the level of CA15-3 from the 1014 blood samples with the CA15-3-TRFIA. Results The positive accordant ratio was 98.68% , and the negative accordant ratio was 95.70% . The accordance of new Kit with ECLIA was good as the accordance coefficient was 0.922. Conclusion CA15-3-TRFIA was a valuable Diagnostic Kit for clinic application.

  • The Clinic Study of the Neuron Specific Enolase (NSE) Diagnostic Kit by Time-Resolved Fluoroimmunoassay (TRFIA)
    Chinese Medical Equipment Journal, 2008
    Co-Authors: Xu Weiwen
    Abstract:

    Objective To investigate the value of the new Kit (NSE-TRFIA) for detection of NSE by the time—resolved fluoroimmunoassay (TRFIA). Methods Compared with the techniques of ECLIA, measuring the level of NSE from the 1008 blood samples with the NSE-TRFIA. Verified by WALLCTM NSE-TRFIA. Results The positive accordant ratio was 98.04%, the negative accordant ratio was 98.39%. The accordance of new Kit with ECLIA was good as the accordance coefficient was 0.973. The AUCROC of NSE-TRFIA was 0.994. Conclusion NSE-TRFIA was a valuable Diagnostic Kit for clinic application.