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Nicole DelRosso
@nicole_delrosso
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Sandler Fellow @UCSF | PhD @Stanford Biophysics | Curious about the principles that turn genes on and off
Bay Area
Joined August 2022
The DelRosso Lab is starting @UCSF 1/2025 and is seeking applicants for a research postbac! We will be developing cutting edge high-throughput approaches to study the relationship between disordered protein interactions and transcription in human cells🔎
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@vitaliikl Thank you! Would love to discuss more how it intersects with your models and data. STAMMPPING provides quantitative affinities of direct interactions. Although phage display is more scalable, our platform is more quantitative and can measure even weak micromolar interactions.
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@baijiangshan1 @fordycelab @BintuLab STAMMPPING is a general protein-protein binding platform and we're looking forward to using it on other systems as well. We think it's important to combine these in vitro measurements with in cellulo studies 🙂
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Massive thank you to co-author Peter Suzuki; our wonderful computational collaborators @dgriffith314, @jefflotthammer, Borna Novak, @alexholehouse; along with @kocalars, @mayayayas; and my amazing Ph.D. co-advisors @BintuLab, @fordycelab��
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RT @abbythurm: Do human RNA-binding proteins have modular regulatory domains that downregulate RNA lifetimes? Our preprint @BintuLab studyi…
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RT @alexholehouse: Excited to share new work from @GarrettGinell in which we present an approach for predicting intermolecular interaction…
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RT @nmateyko: Do you really need to spread plasmid libraries on mountains of plates to get uniform growth, or can you just dump them in a f…
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@fordycelab @BintuLacra @BintuLab 🫶 So grateful to have had you and Lacra as my mentors! Excited to take everything I learned and launch! 🚀
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Great continuation of Uri Alon’s “How to choose a good scientific problem”
How to pick a problem. Today in @CellCellPress. 1/53
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RT @FilipNemcko: 📜 Happy to share our recent preprint featuring ORFtag - a versatile, easy and cost-effective method for probing protein fu…
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Wonderfully written review. I think we will come up with better functional classes of effector domains once we can comprehensively map all the cofactor interactions
Good news! Our review article, "Commonly asked questions about transcriptional activation domains" is live! Thank you @sbarolo for inspiring the format.
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