antanij.bsky.social
https://antanij.netlify.app/
Microscopy of bacteria and their viruses.
Postdoc at Yale University @paulturnerlab.bsky.social. Phage researcher, biotech enthusiast.
Research Facilitator at Optical Microscopy and Imaging in Biomedical Sciences (MBL, Woods H
32 posts
1,094 followers
800 following
Regular Contributor
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Thanks Harshali!
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Thanks Katie!
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Thank you!
I like to watch em pop-pop-pop too 😂
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Thanks bro 😁
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A huge thanks to the amazing mentors and friends from @paulturnerlab.bsky.social and @emonetlab.bsky.social for their incredible support throughout this project! 🙌🎉 Check out our paper here: www.pnas.org/doi/10.1073/...
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We hope this assay becomes a go-to tool for phage researchers and helps advance the supercool field of phage biology and therapy. 🦠🔬🧪 Here’s to more discoveries in this exciting space!
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If we had used fluorescent protein fusions to label viruses, we’d have to engineer each virus we wanted to study. 🛠️ Instead, we used a dye, making our method versatile for many phages—including those targeting key pathogens and even a phage used to treat bacterial infections! 🦠✨ (details in paper)
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We introduce Dwell Time as a model-free, single-virus readout—replacing the traditional, model-based bulk estimate of the adsorption rate constant. 🔍🦠
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We measured the mean Dwell Time for phage T4 interacting with seven E. coli strains, each with mutations in T4-receptors. 🧬 We also ran the classic adsorption assay—and guess what? The mean Dwell Time correlated beautifully with the adsorption rate constant! 📈✨
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We obtained thousands of trajectories from minutes of experiments.
The time a virus stays in view under the microscope (trajectory duration) reflects how long it closely interacts with host cells (Dwell Time). 🕒 We observed massive variability in these interactions—each virus behaves differently!
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We decided to look at individual viruses under the microscope🔬. After labeling them with a fluorescent dye 🎨 and introducing them to glass slides with immobilized bacteria, we recorded their interactions 🎥. Using MATLAB-based particle tracking, we traced the trajectories of single viruses. 📊
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And after all that work, the old method gives us just one thing: a model-based estimate of the adsorption rate constant. It’s an average from millions of viruses and cells, meaning it completely misses the unique behaviors of individual viruses!
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At each step, even small perturbations from manual error can throw off the results. Hence it’s tricky to get consistent, reproducible data.
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The old adsorption assay is performed in tubes/flasks 🧪: viruses are mixed with bacteria and free (un-attached) viruses are counted at different time-points. This process involves a LOT of manual steps.
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This method provides an alternative to the (literally) century-old Phage Adsorption Assay because it...
- is fast ⚡
- consumes less media 🌱
- provides single-virus readouts 🔍
- does not rely on a theoretical model to estimate a parameter such as adsorption rate constant
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That was my celebrity visit!! #TWiM #fanboy @asm.org #microsky
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Next, a preprint evaluates the potential of using M13, another filamentous phage, for personalized cancer vaccine delivery!
#phagesky
doi.org/10.1101/2024...
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Tagging @cathyhernandez.bsky.social
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Thanks bro
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Could you also add @paulturnerlab.bsky.social please?
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Could you add @paulturnerlab.bsky.social please?
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📌
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Welcome! I created the account a while ago but paying attention since yesterday. I have found three phage phlocks so far:
1. #phagesky list
2. Starter pack bsky.app/starter-pack...
3. Starter pack bsky.app/starter-pack...
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Could you add me please? TIA!
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What is this warm feeling 🥰🥰
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🦠🧫🔬
🙋🏻♂️
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🦠🧫