Amir Mitchell
Systems biologist trying to disentangle host-drug-microbiome interactions | PI at UMass medical school | hoping to keep the BS to a minimum (not always successful)
https://mitchell-lab.umassmed.edu
- Our recent paper in npj Antimicrobials and Resistance is a great example of scientific serendipity: after staring at thousands of bacterial growth curves over many studies, we started wondering whether the curve shapes themselves carry mechanistic information 1/9 🦠🧪 www.nature.com/articles/s44...
- So we assembled a new carefully curated dataset with growth curves across almost forty drugs, measured across multiple sub-inhibitory concentrations. For each curve, we quantified intuitive its key features: lag, growth rate, and yield 2/9
- We just published in @molsystbiol.org with the Mugler lab (UPitt) on bacterial population dynamics during tumor colonization (mouse model). Our study was guided by a Luria–Delbrück-style idea: infer mechanism from statistics (1/7) 🧪🦠 doi.org/10.1038/s443...
- Main takeaways: Post systemic infection, there's a tight colonization bottleneck (per-cell colonization probability ~0.005%). Yet, once colonization happens, growth is remarkably fast (~50 min generation time) and bacterial load in tumors approaches saturation within a day (2/7)
- The (very real) cost of changing your research field. Absolutely true! But the freedom to pivot is one of the greatest things in this profession. www.nature.com/articles/s41...
- Great opportunity to participate in scientific outreach!
- Had a fantastic time with @markowenmartin.bsky.social’s on his #MattersMicrobial podcast (@microbetv.bsky.social). We discussed how to uncover the killing mechanisms of hundreds of antibacterials simultaneously and how #AI can transform the search for new antibiotics 🧪🦠💊 youtu.be/Wa0zd-TRCO8?...
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