Christoph Kaleta
kaletalab.bsky.social
Christoph Kaleta
@kaletalab.bsky.social
Medical Systems Biology research group - Constraint-based modelling - Modelling of host-microbiome-interactions - Systems Biology of Aging
4/4 Please also be aware about the mobility rules that apply for MSCA actions - no residence in Germany for more than 12 months in the last three years.
October 9, 2025 at 7:04 AM
3/4 Based in scenic Kiel by the Baltic Sea, we offer a competitive salary, collaborative environment, and support for work-life balance. 🌊 Ready to make a difference? Apply by November 30th, 2025, and be part of our research team! 📅 Learn more & contact us here: c.kaleta@iem.uni-kiel.de #Hiring
October 9, 2025 at 7:04 AM
2/4 You'll apply #metabolic #modeling integrating diverse OMICs data sets to reveal how the microbiome impacts cognitive function during menopause. You'll work closely with our partners at Jena University and the entire MenoBrain consortium (www.uniklinikum-jena.de/menobrain/en/). 🌟 #ScienceJobs
October 9, 2025 at 7:04 AM
Reposted by Christoph Kaleta
So, is this bacterial metabolite relevant in humans? With help from @kaletalab.bsky.social we predicted its production is significantly higher in the gut microbiomes of colorectal cancer patients. It is also present in cancer-associated microbiomes.

What does it actually do to cancer cells?
September 10, 2025 at 7:28 PM
Our results suggest that uropathogens may depend on a broad network of metabolic interactions during infection, potentially unlocking new treatment strategies for UTIs. (7/7)
September 10, 2025 at 11:44 AM
A closer look at the modeled communities revealed a complex network of metabolic interactions, including compounds implicated in UTI pathogenesis like sorbitol. (6/7)
September 10, 2025 at 11:44 AM
Although the predicted metabolic fluxes showed mostly small differences post-metatranscriptomic data integration, we observed a notable reduction in overall flux due to the fastcore algorithm. (5/7)
September 10, 2025 at 11:44 AM
We simulated the bacterial community using BacArena, integrating both metabolic models and context-specific metatranscriptomic data. (4/7)
September 10, 2025 at 11:44 AM
Our findings reveal a diverse array of species within the uromicrobiome, extending beyond the commonly identified uropathogenic E. coli. (3/7)
September 10, 2025 at 11:44 AM
In this study, we combined metabolic modeling with metatranscriptomics to study the uromicrobiome's metabolic interactions during infections in women. (2/7)
September 10, 2025 at 11:44 AM