Transcriptomics-guided Engineering

Transcriptomics-Guided Engineering is a systems metabolic engineering approach that leverages genome-wide gene expression profiles to identify metabolic bottlenecks and regulatory targets, thereby rationally informing genetic modifications to optimize cellular phenotypes.

6

Publications

912

Citations

53

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

53

  1. XW
    Xiaorong Wang

    Sichuan Agricultural University, China

    1 publications · 593 citations

    1

    h-index

  2. HH
    Hong Hua Su

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 593 citations

    1

    h-index

  3. CF
    Chris Fisher

    Stanford University, United States

    1 publications · 113 citations

    1

    h-index

  4. JK
    Joseph K. Cheng

    The University of Texas at Austin, United States

    1 publications · 32 citations

    1

    h-index

  5. MM
    Meena Malipatlolla

    Stanford University, United States

    1 publications · 113 citations

    1

    h-index

1–5 of 53

Venues

  1. Biomaterials

    1 publications · 25 citations

    1

    h-index

  2. Nature Biotechnology

    1 publications · 593 citations

    1

    h-index

  3. Metabolic Engineering

    1 publications · 117 citations

    1

    h-index

  4. Cell

    1 publications · 113 citations

    1

    h-index

  5. ACS Synthetic Biology

    1 publications · 32 citations

    1

    h-index

1–5