Author

Jethro S. Johnson

University of OxfordORCID 0000-0001-9155-054XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adam P. CribbsiD· 1 shared Andre Rayner· 1 shared Andreas HegeriD· 1 shared Antonio J. Berlanga‐TayloriD· 1 shared Ariel B. GanziD· 1 shared Benjamin M. RolnikiD· 1 shared Benjamin Swift· 1 shared Charlotte L. GeorgeiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperGenomics

Adam P. CribbsORCID

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Author profile →

3 papers

Recent·Most cited

Gut archaea drive human MAIT cell responses

Natasha Fisher-Pearson, Martin Joseph Lett, Isaac W. D. Maylam, Connor S. J. Philip, Mariolina Salio, Richard J. Suckling, Robert Alan Simmons, Keir Barnbrook, Benjamin Swift, Walter Godfrey Jaoko, Freddie Kibengo, William Kilembe, Eduard Joachim Sanders, Mark Christopher Coles, Claire F. Pearson, , Jethro S. Johnson

The paper shows that gut archaea produce 5-OP-RU, which activates MAIT cells, linking archaea to human immunity.

bioRxiv · Sep 16, 2026 · PreprintImmunology

Dynamic Human Gut Microbiome and Immune Shifts During an Immersive Psychosocial Therapeutic Program

Xin Zhou, Ariel B. Ganz, Andre Rayner, Tess Yan Cheng, Haley Oba, Benjamin M. Rolnik, Samuel M. Lancaster, Xinrui Lu, Yizhou Li, Jethro S. Johnson, Rebecca Hoyd, Daniel J. Spakowicz, George M. Slavich, Michael P. Snyder

The paper examines microbiome and immune changes in depression during a psychosocial intervention, finding a protective role for Prevotella-dominant microbiomes and reduced inflammation.

Brain Behavior and Immunity · Dec 17, 2024Peer-reviewedMicrobiology

CGAT-core: a python framework for building scalable, reproducible computational biology workflows

Adam P. Cribbs, Sebastián Luna-Valero, Charlotte L. George, Ian M. Sudbery, Antonio J. Berlanga‐Taylor, Stephen Nicholas Sansom, Tom S. Smith, Nicholas Edward Ilott, Jethro S. Johnson, Jakub Scaber, Katherine A. Brown, David Sims, Andreas Heger

CGAT-core is a Python framework for building scalable, reproducible computational biology workflows, demonstrated with an RNAseq analysis pipeline.

F1000Research · Apr 4, 2019Peer-reviewedGenomics