Automated Author Profile

Sung, Jaeyun

Mayo Clinic in Arizona

Current S-Index

1.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

88.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Large-scale metabolic interaction network of the mouse and human gut microbiota (Version: 5)

The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not. Here, we constructed a literature-curated, interspecies network of the mammalian gut microbiota for mouse and human hosts, called NJC19. This network is an extensive data resource, encompassing 838 microbial species (766 bacteria, 53 archaea, and 19 eukaryotes) and 6 host cell types, interacting through 8,224 small-molecule transport and macromolecule degradation events. Moreover, we compiled 912 negative associations between organisms and metabolic compounds that are not transportable or degradable by those organisms. Our network may facilitate experimental and computational endeavors for the mechanistic investigations of host-associated microbial communities.

Authors

  • Lim, Roktaek ;
  • Cabatbat, Josephine Jill T. ;
  • Martin, Thomas L. P. ;
  • Kim, Haneul ;
  • Kim, Seunghyeon ;
  • Sung, Jaeyun ;
  • Ghim, Cheol-Min ;
  • Kim, Pan-Jun
1 Citation0 Mentions88% FAIR1.3 Dataset Index
10.5061/dryad.dr7sqv9v8June 2020