We’re excited to present our most recent preprint on bioRxiv “Multimodal single-cell profiling of T cell specificity and reactivity in lung cancer ” https://t.co/xmL6snv7hy
We’re excited to present our most recent preprint on bioRxiv “Multimodal single-cell profiling of T cell specificity and reactivity in lung cancer ” https://t.co/xmL6snv7hy
8/9
With tumor-reactive TILs being partly in the proliferation cluster, we wondered how their cell states change upon short-term stimulation culture. This showed an increased transition from the resident memory to the proliferative cell state.
We're excited to present SpeedingCARs, our most recent paper published by @NatureComms describing an integrated method to engineer CAR T cells using signalling domain shuffling and single-cell sequencing.
https://t.co/eelI1IAtRD
In summary, speedingCARs substantially expands and characterizes the signaling domain combinations suited for CAR design and supports the engineering of the next-generation T cell #immunotherapies.
Engineering T-cell receptors for cancer #Immunotherapy |
Read about the foundational technology of the spinoff #EngimmuneTherapeutics, developed by Rodrigo Vazquez-Lombardi, Synthetic Immunology lab led by Sai Reddy @ReddyLab_ETHZ >https://t.co/Xu8kIrRPft
@ImmunityCP
ETH-Zürich (@ETH_en) has put out a great summary of our DML technique and how it can help us develop more effective antibody therapies and vaccines against future variants of SARS-CoV-2. Read more about it here: https://t.co/vmtY2e1OFu
Now online! Deep Mutational Learning Predicts ACE2 Binding and Antibody Escape to Combinatorial Mutations in the SARS-CoV-2 Receptor Binding Domain https://t.co/QULlnk9Y3x
Update: Our deep mutational learning #DML paper on #SARSCoV2 profiling is now online at @CellCellPress! Now with more in-depth assessments of a greater number of antibodies!
https://t.co/SIh8ltLl2E
It has been 2 years since the 1st detection of #SARSCoV2 and yet the #pandemic shows little signs of slowing down, as seen most recently through the emergence of #omicron and its surprisingly large No. of mutations. How surprising is that though? A thread. https://t.co/G1WPrLxD8f