Quantifying Chemical Fluxes Underlying Gut Microbiota-Host Interactions
Jonas Cremer, Markus Arnoldini
The paper quantifies chemical fluxes between gut microbiota and host by identifying measurable host parameters that influence flux magnitudes.
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ETH ZurichORCID 0000-0003-3770-1348Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
8 papers
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Jonas Cremer, Markus Arnoldini
The paper quantifies chemical fluxes between gut microbiota and host by identifying measurable host parameters that influence flux magnitudes.
Mateusz Fido, Elisa Cappio Barazzone, Etienne Hoesli…·Emma Marie Caroline Slack
The paper develops a high-resolution mass spectrometry method to quantify nitrogen-containing compounds across diverse systems, revealing microbiome impacts on nitrogen distribution in mice.
Giorgia Greter, Sebastian Hummel, Daria Künzli…·Markus Arnoldini
The paper shows how spatial structure in the gut microbiota emerges through bacterial growth in the matrix of gut content.
Mathilde Boumasmoud, Ricardo León‐Sampedro, Vera Beusch…·Alex R. Hall
The paper tests how gut microbiome variation affects Escherichia coli growth across human samples, finding interspecies interactions influence growth outcomes.
Melanie L. Stäubli, Hans‐Joachim Ruscheweyh, Giorgia Greter…·Shinichi Sunagawa
The paper introduces a transcriptomic marker gene-based classifier to predict bacterial growth states across species in microbial communities.
Markus Arnoldini, Richa Sharma, Claudia Moresi…·Jonas Cremer
The paper quantifies the metabolic flux of fermentation products from the gut microbiota, showing it varies with diet but not microbiota composition.
Jiayi Lan, Giorgia Greter, Bettina Streckenbach…·Emma Marie Caroline Slack
This paper demonstrates the use of secondary electrospray ionization mass spectrometry to non-invasively monitor gut microbiota metabolism in live mice.
Rafael Peña‐Miller, Markus Arnoldini, Martin Ackermann, Robert Beardmore
The paper studies phenotypic switching in Salmonella by analyzing fliC promoter dynamics, finding that oscillatory transitions occur due to regulatory delays rather than noise-driven transitions.