
Wanunu Lab 🇺🇸
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Wanunu Lab 🇺🇸
@WanunuLab
Single-molecule biophysics and nanotechnology laboratory
Northeastern University Katılım Eylül 2014
242 Takip Edilen1.4K Takipçiler

The generated code can be used offline in future analysis. Want to plot, compare, visualize? Try NanoCortex! biorxiv.org/content/10.648…
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What does pseudouridine (ψ) actually do to protein production? It’s been studied for years — but its impact on translation has remained surprisingly unclear.
We were excited to tackle this directly in our latest NAR paper: tinyurl.com/psitranslation

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This is why international scientific exchange is so important. We must protect and encourage collaboration and mobility.
Jarrid Rector-Brooks@jarridrb
What if AI could invent enzymes that nature hasn’t seen? 👩🔬🧑🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the most challenging transformations in organic chemistry. DISCO surpasses this with a single plate. No pre-specified catalytic residues, no template, no theozyme, no inverse folding, just joint diffusion over protein sequence and structure. 📝 Blog: disco-design.github.io 📄 Paper: arxiv.org/abs/2604.05181 💻 Code: github.com/DISCO-design/D…
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Help build a sub $500 DNA sequencer 🧬
Seeking an intern experienced in 4-dye SBS chemistry + surface DNA amplification.
Real system, real chemistry, open source.
~200M bases/run, <$50 per run.
Location: yacht in the Mediterranean & Aegean.
Must be hands-on and able to build + troubleshoot. DM @GangstaQuack
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This was a fruitful collaboration between our group and the @ShemaEfrat lab at @WeizmannScience and Sean O'Leary at @UCRiverside.
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Incubating primed NucBells with polymerase and immobilizing them on the @PacBio RSII platform (I know, outdated, but versatile!) allows histone marks to be detected using fluorescent immunoaffinity reagents. Then, following a wash step, the DNA is sequenced.
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Pleased to share our latest manuscript that introduces NucSeq, a SMRT-sequencing based single-molecule approach to interrogate histone PTMs and sequence the wrapped nucleosomes around these histones. pubs.acs.org/doi/10.1021/ac…

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I recently learned that RNase A enzymes can survive autoclaving, or high-pressure heating, at 121°C. This is strange.
But then I learned there are entire organisms that not only survive autoclaving, but actually grow and divide at 121°C???
There was a 2003 paper, for example, where these two scientists took a submarine down to a hydrothermal vent in the Pacific ocean, scooped up some dirt, and kept everything in an airtight tube.
This tube had an organism in it. The organism had features "typical of Archaea." They put this organism into an autoclave (held at 121°C) for a full 24 hours. When they took it out of the autoclave, the cell population had doubled. Thus, the organism was called "Strain 121."
The 2003 paper ends with an enticing statement:
"The factors that permit strain 121 to grow at such high temperatures are unknown. It is generally assumed that the upper temperature limit for life is related to the instability of key molecules essential for life, but which molecules are most important in defining the upper temperature limit have not been defined. However, strain 121 offers the possibility to do this work."
I read this and got excited. I began searching for follow-up studies on Strain 121. But I was quickly disappointed.
This organism has its own Wikipedia page, but every single reference is from 2003 or 2004. Its name was later changed to Geogemma barossii, so I searched for that, too. But all I could find were random news stories about this "heat-loving microbe," all of which linked back to the original 2003 paper.
I'm extremely confused by this. Why is nobody studying this microbe? It doesn't even have a published genome sequence. Where is the intellectual center for hyperthermophile research?

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Excited to take part in this effort to bring protein sequencing to reality! darpa.mil/news/2026/prot…
@NortheasternCOS @NUBioE1 @Northeastern
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I started a company! Luminos.
We made a complete neuro-electronic interface: stimulate and record from any set of neurons in any pattern of space and time, over a 6 mm field of view.
Also useful for optical pooled screens and target discovery.
luminosmicro.com

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Today’s American History Lesson: Puerto Rico has been part of the U.S. since 1898, and Puerto Ricans have been U.S. citizens since 1917 🇵🇷 🇺🇸
We’ve cheered many non-Americans at the #SuperBowl. Bad Bunny isn’t one of them.
🏈 🎤

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@jrkelly Let’s talk - everyone else also please. What’s the most 🍌 idea you can come up with.
I’m listening.
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It is by studying non-model organisms that biotechnologists have, historically, found the most useful tools.
Taq polymerase and CRISPR were both discovered in weird extremophiles. GFP was first isolated from jellyfish caught off the coast of Friday Harbor, Washington. Luciferase came from the North American firefly. Rapamycin, an immunosuppressant used in organ transplants, came from Easter Island soil microbes.
Many more useful discoveries are surely awaiting, if only we could grow the many lifeforms that nobody has yet studied in any meaningful way.
For my latest @AsimovPress column, I explain how @CultivariumFRX developed a robot that can transform (or get DNA into) all kinds of new, non-model microbes, thus expanding the slice of nature we can study in the laboratory. I think it could be a really big deal for biology.


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Unpacking DARPA's NODES: A New Era of Biodefense Intelligence
The DARPA NODES program, officially unveiled in July 2025, is designed to revolutionize the way the scientific community and defense agencies understand and respond to biological threats. At its core, NODES employs sophisticated AI algorithms to analyze the dynamic behavior of proteins, capturing their movements and shape changes to make high-confidence predictions about their functions. This is particularly crucial for the vast majority of proteins for which only sequence and structural data are available, allowing for rapid functional annotation even for previously unknown molecules. A key objective is to estimate the evolutionary probability of protein sequences, enabling the distinction between naturally occurring pathogens and potentially engineered biothreats.
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