Author

C. E. Lawson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 2 Assay:metabolomics· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:metabolism & bioenergetics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Amador-Noguez· 2 shared D. R. Noguera· 2 shared M. Pabst· 2 shared S. Lücker· 2 shared T. B. Jacobson· 2 shared A. B. Mundinger· 1 shared C. A. Weathersby· 1 shared D. M. Stevenson· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

D. Amador-Noguez

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologybioRxivFeb 18, 2021

Investigating the chemolithoautotrophic and formate metabolism of Nitrospira moscoviensis by constraint-based metabolic modeling and 13C-tracer analysis

C. E. Lawson, A. B. Mundinger, H. Koch…·S. Lücker

This study reconstructs a genome-scale metabolic model of Nitrospira moscoviensis and validates it using proteomics, 13C-tracer, and metabolomic analysis to elucidate its autotrophic and formate metabolism.

DOI 10.1128/msystems.00173-21

bacteria (other)proteomics

𝕏 PostBluesky

MicrobiologyThe ISME JournalPeer-reviewedOct 20, 2020

Autotrophic and mixotrophic metabolism of an anammox bacterium revealed by in vivo 13C and 2H metabolic network mapping

C. E. Lawson, G. Nuijten, R. M. de Graaf…·S. Lücker

This study uses isotope tracing and metabolomics to resolve the central carbon metabolism of an anammox bacterium, revealing discrepancies between genomic predictions and in vivo metabolic fluxes.

DOI 10.1038/s41396-020-00805-w

bacteria (other)metabolomics

𝕏 PostBluesky