Check out our review, led by Katie Tiemeyer, with co-authors Christopher Cairo and David Kuter, on the glycobiology of immune thrombocytopenia. #glycotime journals.lww.com/co-hematology/… A thread on our key points:

Excited to see this published! Check out Pixie, a pipeline for quantifying non-cellular features (as well as improving cell classifications) in multiplexed images. nature.com/articles/s4146…

The second annual Spatial Biology Workshop is just two weeks away! This free event will showcase the power of spatial techniques to answer biological questions. We'll be showcasing new methods for data generation and analysis, as well as the novel findings they enable (1/x)

I am thrilled to share my preprint with Bendall Lab that includes a new and comprehensive phenotypic atlas of human hematopoietic progenitor cells. Check out how we reconcile the diversity of human HSPCs in the tweetorial below. biorxiv.org/content/10.110…

Check out my new preprint! I uncovered details about how a protein, Gal1, is internalized into cells and showed that we can use this as an alternative to ASGPR to deliver siRNAs! biorxiv.org/content/10.110…

Registration is now OPEN for the 3rd Annual Spatial Biology Summit! Join us for an excellent lineup of talks from leaders in the spatial biology field. Registration: bit.ly/spatialbiology…. More info: angelolab.com/spatial-biolog… Michael Angelo Bendall Lab Davide G. Franchina Cameron Walker

Wonderful seminar today by Ginny Shapiro Mayo Clinic on the modulation of immune responses by ST8Sia6 in the context of cancer. Beautiful glycoimmunology work followed by fun discussions at lunch! Special thanks to Sharon Pitteri Stanford Radiology for hosting the visit. #glycotime

I'm super excited to share Nimbus, our algorithm for automatic classification of cellular marker expression in multiplexed image data! Nimbus is a pretrained deep learning model that works out of the box across panels with any combination of markers (1/x) biorxiv.org/content/10.110…

Thank you to everyone who stopped by my poster at #ASMS2024 today! Huge shoutout to Females in Mass Spectrometry (FeMS) for the great networking session and encouraging words

Thanks to everyone that came out for our networking session at #ASMS2024! A special thank you to Jennifer Brodbelt for speaking. If you have pictures from the event please share and tag us! #FeMS+ #WomenEmpoweringWomen

Thrilled to share that TwoStepTx has officially launched! With the closing of our seed round, we’ll be advancing our pipeline of targeted therapies for solid tumors. Many thanks to our incredible co-founders and investors for their support. Carolyn Bertozzi CochranLab

🚨Check out our new #glycotime preprint: Glycosite Mapping and in situ Imaging of MUC2 Glycopeptides via On-slide Digestion with Mucinase StcE! 🥳Sarah Lowery et al used MALDI IMS and intact glycoproteomics to understand spatial distribution of mucins: doi.org/10.1101/2024.0… 🧵👇

Excited to report that protocol for DNA-encoded, Liquid Glycan Array (LiGA) is out in Nature Protocols. In addition to the protocol, we report how the expression level of Siglecs and cell types affect their ability to bind to LiGA. nature.com/articles/s4159…

The two-day Stanford University, UC Berkeley, and UC San Francisco 2024 Bay Area Chemical Biology Symposium brought together leading chemical biologists, showcasing cutting-edge science and fostering meaningful connections. Thank you to our amazing speakers, organizers, sponsors & attendees!

Happy Halloween from the Bertozzi lab, no catalyst needed for #BOOrthogonal click chemistry! Lindsay Guzmán Carolyn Bertozzi

Hundreds of people gathered at a Stand Up for Science rally outside San Francisco City Hall on Friday, protesting in the face of widespread cuts and layoffs from the Trump administration. Attendees held up signs like “Public Health Over Private Wealth.” trib.al/RJeyCyk

Proud to contribute to this multicenter study mapping the spatial proteome, transcriptome & N-glycome in glioma patients. TME N-glycosylation tracks with tumor grade & immune suppression, revealing key insights into disease progression. Explore the data on BRUCE!