Bintu Lab retweeted
Numerous biotech innovations started with adapting a protein to its non-native context, which often requires substantial experimental optimizations. Here’s a breakdown by our lead, @Xiaowei0402, on a versatile, efficient computational framework to facilitate such adaptations.
Bintu Lab retweeted
Check out Swap-seq — our next-gen tech for tiled twin prime deletion mapping of distal regulatory elements
biorxiv.org/content/10.6...
Please get in touch if you’d like to try it out!
Thread 👇
Have you ever looked at a gene in IGV or a genome browser and wondered “What are all those (ATAC-seq/H3K27ac/CTCF ChIP-seq/…) peaks doing?” 🤔 I’m thrilled to share that we developed a new technology called Swap-seq to answer that exact question.
biorxiv.org/content/10.64898…
Bintu Lab retweeted
Have you ever looked at a gene in IGV or a genome browser and wondered “What are all those (ATAC-seq/H3K27ac/CTCF ChIP-seq/…) peaks doing?” 🤔 I’m thrilled to share that we developed a new technology called Swap-seq to answer that exact question.
biorxiv.org/content/10.64898…
Bintu Lab retweeted
Excited to share some recent collaborative work between the Bintu and Ferrell labs investigating single-cell and population-level transcriptional response functions in minimal mammalian expression systems!
biorxiv.org/content/10.64898…
As you can see in Fig. 10, it can be quantitative with a good reporter. Here's the comparison with flow (y-axis) vs. pooled screen score (x-axis) for a small (1500) and medium (10,000) library. Each dot is a cell line we made for validation/calibration. 100,000 can be noisier :)
We used HT-recruit repeatedly to discover new protein domains involved in gene regulation and test many mutants. It can be used for domains associated with other functions (if you have a reporter). Now we published a detailed protocol on how to do it: nature.com/articles/s41596-0…
We hope this protocol is useful for people doing large scale protein function work! nature.com/articles/s41596-0…
Led by @abbythurm from @BintuLab
Bintu Lab retweeted
So we beat on. Gene/cell therapies often use proteins that could be recognized/rejected as non-self by our immune system. We combine algorithms to build proteins that are therapeutically relevant and can masquerade as our own parts doi.org/10.1101/2025.02.24.6…
Bintu Lab retweeted
Incredibly excited that our paper linking single molecule states of TF binding to gene expression using quantitative thermodynamic models is out in Nature today. An amazing collaboration with the Bintu Lab. Congrats to Ben, Michaela, and Julia! nature.com/articles/s41586-0…
Bintu Lab retweeted
Development of compact transcriptional effectors using high-throughput measurements in diverse contexts go.nature.com/3NMu00N
Bintu Lab retweeted
Online Now: The H3.3K36M oncohistone disrupts the establishment of epigenetic memory through loss of DNA methylation dlvr.it/TF93Ry
Bintu Lab retweeted
Join us in Heidelberg for this great conference! Submit an abstract, we will select 20 talks (you have to register in the system first: embl.ungerboeck.com/PROD/emc… )
🧬🙌🏻 Only a week left to submit your abstract for 'Quantitative biology to molecular mechanisms' – over 20 talks will be selected from abstracts, with a priority for early stage researchers, so don't miss your chance! #EMBLOmics
➡️ s.embl.org/omx24-01
📜 Deadline: 27 Aug
Bintu Lab retweeted
🧬How do transcriptional cofactors recognize which genes to regulate?🧬 Check out our new preprint from @fordycelab @BintuLab that tackles this question and provides the first-ever quantitative map of disordered transcriptional protein interactions (1/9) biorxiv.org/content/10.1101/…
Bintu Lab retweeted
(1/16) Check out our @SimonMJGaudin paper tiny.cc/icuazz from the Canzio lab out in @ScienceMagazine today on how tuning local cohesin trajectories enables differential readout of the clustered Protocadherin (Pcdh) locus across different types of neurons.
Bintu Lab retweeted
Got out of the nucleus! Tested ~30,000 tiles from human RNA-binding proteins, found lots of domains that downregulate RNA&built an inducible synthetic RNA-binding protein for keeping target RNA at constant intermediate levels: biorxiv.org/content/10.1101/… So many follow-up projects!
Do human RNA-binding proteins have modular regulatory domains that downregulate RNA lifetimes? Our preprint @BintuLab studying this question is now out on bioRxiv, where we indeed identify small domains in RBPs that potently induce RNA degradation! biorxiv.org/content/10.1101/… (1/9)
Our first RNA-centric preprint is online! Congratulations to @abbythurm and the whole team - we're so excited to continue learning about effector domains in RBPs, and to hear your thoughts about what could come next!
Do human RNA-binding proteins have modular regulatory domains that downregulate RNA lifetimes? Our preprint @BintuLab studying this question is now out on bioRxiv, where we indeed identify small domains in RBPs that potently induce RNA degradation! biorxiv.org/content/10.1101/… (1/9)
We are hiring a lab manager/research assistant! More details and how to apply here: bintulab.com/2024/06/01/hiri…
Bintu Lab retweeted
Finally, I would like to note that the NFZ TAD developed by @JoshTycko, @BintuLab , and Bassik lab (link below) works very well in the synZiFTR toolkit, AND it can be further boosted with our new enhancement. That's all for now -- please stay tuned! 4/n
biorxiv.org/content/10.1101/…
It's a double feature on epigenetic memory today! Check another amazing new preprint on single-cell chromatin compaction and memory establishment from wizard postdoc @fjmrt!
New preprint! We studied how single-cell 3D chromatin structure changes under targeted epigenetic perturbations using multiplexed DNA FISH and synthetic biology tools, and found an intriguing relationship between chromatin compaction and epigenetic memory. biorxiv.org/content/10.1101/…
Replying to @BintuLab @sinha_joydeb
Huge thanks to @nickels_jan, @abbythurm, Connor Ludwig, @michaelathinks, @bella_arch, Jun Wan, and of course @BintuLacra for all the support during this project. We’re also grateful for an amazing collaboration with the Dong Fang lab and their chondroblastoma model! (9/9)
Replying to @BintuLab @sinha_joydeb
Finally, we used all of this data to develop a 3-state chromatin spreading model that integrates H3K9me3 and DNA methylation to predict epigenetic memory for a parameter space that covers a range of KRAB recruitment durations and strengths. (8/9).
























