Author

M. Unemo

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

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Golparian· 2 shared L. Sanchez-Buso· 2 shared S. R. Harris· 2 shared A. E. Sikora· 1 shared A. L. Hicks· 1 shared D. A. Williamson· 1 shared D. H. Rubin· 1 shared F. E. El-Rami· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

D. Golparian

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Increased antibiotic susceptibility in Neisseria gonorrhoeae through adaptation to the cervical environment

K. C. Ma, T. D. Mortimer, A. L. Hicks, N. E. Wheeler, L. Sanchez-Buso, D. Golparian, G. Taiaroa, D. H. Rubin, Y. Wang, D. A. Williamson, M. Unemo, S. R. Harris, Y. H. Grad

This study identifies loss-of-function mutations in efflux pumps as a mechanism for increased antibiotic susceptibility in Neisseria gonorrhoeae cervical isolates.

Nature Communications · Aug 17, 2020Peer-reviewedMicrobiology

Genetic variation regulates the activation and specificity of Restriction-Modification systems in Neisseria gonorrhoeae

L. Sanchez-Buso, D. Golparian, J. Parkhill, M. Unemo, S. R. Harris

This study examines genetic variation in Restriction-Modification systems across 25 Neisseria gonorrhoeae strains, revealing differences in RMS activity and methylation targets.

bioRxiv · May 7, 2019Microbiology

Quantitative proteomics of the 2016 WHO Neisseria gonorrhoeae reference strains surveys vaccine candidates and antimicrobial resistance determinants

F. E. El-Rami, R. A. Zielke, T. Wi, A. E. Sikora, M. Unemo

This study uses quantitative proteomics to analyze 15 Neisseria gonorrhoeae strains, identifying vaccine candidates and antimicrobial resistance markers.

bioRxiv · Oct 5, 2018Microbiology