Kinetic, metabolic, and statistical analytics: addressing metabolic transport limitations among organelles and microbial communities

Zuniga, Cristal; Tibocha-Bonilla, Juan D.; Betenbaugh, Michael J.

doi:10.1016/j.copbio.2021.06.024

Title: Kinetic, metabolic, and statistical analytics: addressing metabolic transport limitations among organelles and microbial communities

Journal Article · 19 July 2021 · Current Opinion in Biotechnology

DOI: https://doi.org/10.1016/j.copbio.2021.06.024 · OSTI ID:2476531

^[1]; Tibocha-Bonilla, Juan D. ^[1]; Betenbaugh, Michael J. ^[2]

University of California, San Diego, La Jolla, CA (United States)
Johns Hopkins University, Baltimore, MD (United States)

Microbial organisms engage in a variety of metabolic interactions. A crucial part of these interactions is the exchange of molecules between different organelles, cells, and the environment. The main forces mediating this metabolic exchange are transporters. This transport can be difficult to measure experimentally because several transport mechanisms remain opaque. However, theoretical calculations about the inputs and outputs of cells via metabolic exchanges have enabled the successful inference of the workings of intra-organismal and inter-organismal systems. Kinetic, metabolic, and statistical modeling approaches in combination with omics data are enhancing our knowledge and understanding about metabolic exchange and mass resource allocation. Furthermore, this model-driven analytics approach can guide effective experimental design and yield new insights into biological function and control.

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Research Organization:: Johns Hopkins University, Baltimore, MD (United States)

Sponsoring Organization:: Emergency Citrus Disease Research and Extension program; Multicampus Research Programs and Initiatives; National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012658; SC0019388

OSTI ID:: 2476531

Journal Information:: Current Opinion in Biotechnology, Journal Name: Current Opinion in Biotechnology Vol. 71; ISSN 0958-1669

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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