Author

S. Rakoff-Nahoum

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· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:metagenomics· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

J. Ravel· 2 shared M. France· 2 shared A. Gulati· 1 shared A. Junaid· 1 shared A. N. Konopask· 1 shared A. Sutherland· 1 shared B. M. Woolston· 1 shared C. M. Mitchell· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

J. Ravel

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Vaginal microbiome-host interactions modeled in a human vagina-on-a-chip

G. Mahajan, E. Doherty, T. To, A. Sutherland, J. Grant, A. Junaid, A. Gulati, N. T. LoGrande, Z. Izadifar, S. S. Timilsina, V. Horvath, R. Plebani, M. France, I. Hood-Pishchany, S. Rakoff-Nahoum, , D. E. Ingber

This paper develops a human vagina-on-a-chip model to study vaginal microbiome-host interactions and their effects on health outcomes.

bioRxiv · Mar 20, 2022Microbiology

Identification and characterization of bacterial glycogen-degrading enzymes in the vaginal microbiome

D. J. Jenkins, B. M. Woolston, M. I. Hood-Pishchany, P. Pelayo, A. N. Konopask, M. Q. Peters, M. France, J. Ravel, C. M. Mitchell, S. Rakoff-Nahoum, C. Whidbey, E. P. Balskus

This study identifies and characterizes bacterial glycogen-degrading enzymes in the vaginal microbiome, showing their activity and expression across different community states.

bioRxiv · Jul 19, 2021 · PreprintBiochemistry

Multi-kingdom quantitation reveals distinct ecological drivers of predictable early-life microbiome assembly

C. Rao, K. Z. Coyte, W. Bainter, R. S. Geha, C. R. Martin, S. Rakoff-Nahoum

The paper quantifies multi-kingdom microbial dynamics in preterm infants and identifies microbe-microbe interactions driving predictable microbiome assembly.

bioRxiv · Mar 2, 2020 · PreprintMicrobiology