Xiaojing Gao

412 posts

Xiaojing Gao

Xiaojing Gao

@SynBioGaoLab

Assistant Professor @ Stanford ChemE synthetic biology, biomolecular engineering https://t.co/KAajKt7YdT

Stanford, CA Katılım Haziran 2019
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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
"Engineering multiple levels of specificity in an RNA viral vector": Jenny finally led our covid-interrupted revision to completion. Thanks to the delay, we managed to incorporate our more recent RNA sensors and protease circuits into the RNA viral vectors
Xiaojing Gao@SynBioGaoLab

@biorxivpreprint Higher-order infinitesimal in light of the challenges we are all going through, but still happy that the preprint is out. Missing @ElowitzLab already. Kudos to Michaela and Matthew. Can't have found a more perfect collaborator than Lucy. Thank you all!

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Gina El Nesr
Gina El Nesr@ginaelnesr·
Excited to report the first de novo enzyme catalyzing two of the most energetically demanding reactions in biology—phosphomonoester and phosphodiester hydrolysis—with catalytic efficiencies comparable to natural enzymes! 🚀 desB was designed zero-shot with dEVA. No structure prediction, no pre-defined motif, no reaction-intermediates. 🧵 @StanfordBiosci @bioe_stanford @SLAClab @EPFL @hes_so @simonduerr
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Katie Galloway
Katie Galloway@GallowayLabMIT·
Could the folding of synthetic gene circuits in 3D shape how genes are expressed? Today @ScienceMagazine we report on the role of gene syntax in shaping feedback between transcriptional activity and genome folding for advanced circuit design🧵 (1/n)
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Katie Galloway
Katie Galloway@GallowayLabMIT·
So you want to engineer your hiPSCs, but targeting DNA payloads requires multiple slow, inefficient steps for each construct. What if we could accomplish multi-site integration seamlessly? Come hear about STRAIGHT-IN Dual now out at Nature Biomedical Engineering! 🧵 Link at end!
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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
Don't feel bad about missing the mSBW abstract deadline. We have extended it! We also keep the registration fee affordable ($150 for students) so that mammalian synbio-curious trainees can check it out, especially if you are in the Atlanta area. Meeting link below:
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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
@YanEVgene The use of tTA is certainly shared with CellReadr. To me the key innovation here is the introduction of a "coherent feedforward motif" using tools (e.g., NanoDeg) and designs previous developed by the Segatori lab to further enhance the dynamic range.
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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
We just updated our Germinal preprint for de novo antibody-like binder design! Featuring additional scFv designs, extensive experimental validation of epitope specificity and polyreactivity, and CryoEM structure courtesy of Jim Zhang and Bing Rao from Feng Liang's lab.
Xiaojing Gao@SynBioGaoLab

Having often dealt with binder-limited projects, we sought a more accessible source for nanobodies than yeast display or llama. Here we introduce Germinal, computationally designing antibody-like binders with such a hit rate that only tens need to be screened for each target.

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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
"Engineering multiple levels of specificity in an RNA viral vector": Jenny finally led our covid-interrupted revision to completion. Thanks to the delay, we managed to incorporate our more recent RNA sensors and protease circuits into the RNA viral vectors
Xiaojing Gao@SynBioGaoLab

@biorxivpreprint Higher-order infinitesimal in light of the challenges we are all going through, but still happy that the preprint is out. Missing @ElowitzLab already. Kudos to Michaela and Matthew. Can't have found a more perfect collaborator than Lucy. Thank you all!

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Steven Banik
Steven Banik@StevenMBanik·
Excited to share our latest preprint on work led by postdoc Robert Lusi (@noScandineHere)! Introducing ALTER (AGO-Led Targeted Editing of RNA) for non-downregulatory RNA manipulation by repurposing hAGO2, non-immunogenic and capitalizing on evolution. biorxiv.org/content/10.648…
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Norn Group
Norn Group@NornGroup·
Tracking aging is hard because we don’t yet know what blood markers capture signals. This prevents us from measuring aging over time, or test ways to change it. Through @impetusgrants, we funded @SynBioGaoLab at @Stanford to change this. With his project on protein circuits to enable urinal monitoring of aging, his lab aims to engineer biomolecular circuits that detect internal aging hallmarks and convert them into reporter peptides that can be measured in a simple urine sample. The lab has been prolific, with three papers across Nature Chemical Biology @nchembio and Cell Systems @CellSystemsCP establishing the building blocks for this system: a synthetic receptor platform (LIDAR), a platform to control enzyme activity using human-derived proteins (hDIRECT), and a machine-learning workflow to predict whether the body accepts these synthetic tools (“computational deimmunization”). Congratulations to the Gao lab! More to come in 2026.
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Prashant Mali
Prashant Mali@prashantgmali·
New preprint from the lab led by the amazing Jack Bryant! # tunable genetic medicines, # endogenous ADARs "Regulatable In Vivo Gene Expression via Adaptamers" biorxiv.org/content/10.648…
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Chang Liu
Chang Liu@chang_c_liu·
Important paper from Jason Chin's and Julian Sale's labs realizing key operations needed for building synthetic human genomes. My repeated reaction reading this paper was "um, I didn't know you could just do that." science.org/doi/abs/10.112…
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Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
Have you ever wondered what it would've been like to live in a different kind of society? After a record number of rejections, I'm self-archiving my first attempt at... flash fiction, featuring "Hemingway-esque economy" and "Ishiguro's measured revelation" (if you ask Claude).
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