Like and retweet for more #proteomics in tackling biomedical challenges with artificial intelligence models, along with cool and affordable biomarkers like voice, EKGs, and retinal images and an emphasis on ethics! #Bridge2AI #TeamMassSpec with @leah_v_schaffer 😅

Big thanks to @Oli_TN, Trang Le, @PixelgenTech, Theodore Roth for the collaboration between the @Satpathology and @Prof_Lundberg labs!

This work was reported in our recent preprint, where we show these spatial rearrangement measurements reveal phenotypic information that’s invisible with protein expression alone, offering a new look into exhaustion at the T cell surface.

I hope you can join us for this webinar! This Thursday, I'll present on the Molecular Pixelation of CAR T cells. We measured cell surface protein topologies for over 8,000 single cells that capture new phenotypic information for CAR T cell exhaustion.

Our review "Subcellular localization as a driver of protein function" is out today in @NatRevMCB! Thread on why protein subcellular localization matters for biology and medicine 🧵👇 Alina Sigaeva, @CharlH_Science @AnthonyCesnik @lilley_ks https://t.co/izNljAjF2R

Congratulations to @AnthonyCesnik, a member of the #PostdocJEDIChampions2024 cohort! This award recognizes Anthony’s #JEDI efforts in creating a new program resulting in community building among @bioe_stanford postdocs. #bioengineering Learn more at: https://t.co/cnuKHDVp22.

Ever wondered about the distribution of the metabolic proteome in and between single cells? 40% of enzymes display cell-cell heterogeneity and over half localise to multiple cellular compartments. ➡️ https://t.co/hDRoJyFawg @AnthonyCesnik @Prof_Lundberg @ProteinAtlas and others

Ever wonder why genetically identical cells respond so differently to treatments?New study reveals nearly 40% of metabolic enzymes vary b/w cells, reshaping our understanding of resistance and treatment strategies. Congrats @ChristianGnann @AnthonyCesnik @Prof_Lundberg & team!1/2

Asst Prof job posting in Chemistry at Uppsala U., topic is NMR-based structural biology, deadline Mar 4,

Cool job posting in @StanfordPath: "aspire to groundbreaking research in high-resolution, non-destructive optical imaging methods and integrated computational-analysis strategies for disease diagnosis, prognostication, and clinical decision support" https://t.co/izaN1swJ8Z

🎶 GPUs humming 🎶

ChatGPT worked for generating some functional visualization code on the first prompt for me. Pretty cool! It did try using a non-existent function when I asked for a TIC, though. :) Here's the notebook: https://t.co/QxqAjdDLq6

We are #hiring PhD students and Postdocs in #AI, #deeplearning #computationalbiology, #bioimaging, #robotics and #wholecellmodeling I recently joined @KTHuniversity as an assistant professor and starting a new research group ( AICell Lab: https://t.co/lCgSROCYNd) at @scilifelab

Join us for Anthony Cesnik's seminar Feb. 16 on "Driving proteoform systems biology with tools to highlight functional differences within proteoform families" #proteomics @NLKProteomics @Ge_Lab_UW @MoweiZ @jchamotrooke @AnthonyCesnik @JoeLoo85614818 https://t.co/UjHGb1p84v

Who's excited to start scheduling meetings across time zones and relativity zones? "A lunar clock would gain about 56 microseconds over 24 hours."

I am getting an opportunity of a lifetime: I will start as an assistant professor at @UWChemistry in the second half of 2023. The @riley_research group will explore questions about extracellular biology using mass spec, glycoproteomics, and chemical biology.

I presented today's chemistry seminar @gustavus, and it was so much fun! The students had a bunch of stellar questions even hitting on big open questions in the field, e.g. the inheritance of cell-to-cell variability & the degree to which isoform variation defines cell types.

This will be a great meeting on proteomics in cell biology and disease with an amazing lineup of speakers! I’m organizing it together with @labs_mann, Angus Lamond and Ileana Cristea. Come join us!

Help us hack the human body! 😉 Join the @proteinatlas and @_hubmap competition at @kaggle and develop #MachineLearning models for segmentation of functional tissue units from microscope images.

Thanks @leah_v_schaffer for the great time on San Diego's waves! 🌊😁