Xiaojing Gao

418 posts

Xiaojing Gao

Xiaojing Gao

@SynBioGaoLab

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

Stanford, CA Katılım Haziran 2019
844 Takip Edilen3.1K Takipçiler
Xiaojing Gao
Xiaojing Gao@SynBioGaoLab·
Stop by our posters at SEED! @haoyu_dai_dhy on our latest efforts to improve ADAR-based sensors (Day 1, #24), @FloraHU8 on their application to cancer ablation (Day 1, #23), and @Xiaowei0402 on an efficient algorithm to refactor proteins for biomedical applications (Day 2, #136).
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Katie Galloway
Katie Galloway@GallowayLabMIT·
Nifty work on plasmid chromatinization from @stergachislab ! "plasmids are indeed capable of recapitulating nuclear genome-encoded chromatin architectures, ... However, plasmids consistently adopt a heterogeneous and incomplete chromatin architecture relative to nuclear-encoded chromatin fibers, and surrounding sequence context plays an integral role in modulating whether a plasmid-encoded regulatory element will recapitulate nuclear genome-encoded chromatin architectures."
Molecular Cell@MolecularCell

Online Now: Chromatin architectures underlying plasmid-based assays for regulatory variant effects dlvr.it/TSkLhj

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Hani Goodarzi
Hani Goodarzi@genophoria·
I have long written and spoken about the many ways US immigration policy harms international students and scholars. This has been true for as long as I can remember, including when I first came to the US on a single-entry student visa more than 20 years ago under a process formerly known as muslim registry program. But the current administration has gone much further, through arbitrary policy changes, travel bans, and broad visa processing pauses that leave folks unable to work, travel, or train. These policies affect a minority of scientists, and in the current state of the world they can be easy to overlook. But we should not let that happen. I wrote about the quiet loss of Iranian scientific talent in US labs for @TheScientistLLC: the-scientist.com/the-quiet-loss…
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Jerzy Szablowski
Jerzy Szablowski@JerzySzablowski·
qPCR allowed us to measure transcripts, but just once, destructively, and only in post-mortem tissues. Here, we show we can record transcript level history in vivo and recover this information with a blood test to make a "noninvasive qPCR". nature.com/articles/s4146…
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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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