Excited to share our study of T cell signaling, where we directed high-content, single-cell genetic screening to uncover how a single adapter protein orchestrates a complex cellular process essential for health. (1/14)
https://t.co/MmGF01YVLn
Excited to share our paper out today in @CellCellPress with @BcellBruno@Vignali_Lab! Part of a trio of papers, we show in #Melanoma, anti-PD1+anti-LAG3 therapy modifies CD8 differentiation to promote enhanced effector function https://t.co/FwuxRuOPJI
Latest from the lab! Defining how cells adapt to chronic stress, uncovering long-term tradeoffs/repercussions, and predicting + validating causal factors - see below for thread from co-first @constantine_sci; lovely collab with @liverquant@drjessicashay@ohyilmaz@wgoessling
Excited that veloVI is out @naturemethods! Led by @adamgayoso & @PhilippWeiler7 w awesome @YosefLab, we combine deep generative modeling with a mechanistic single-cell transcriptional model for better RNA velocity analysis with uncertainty quantification. https://t.co/EaBpcqwexi
New research from @Vignali_Lab involving human data identifies a tumor-specific population of immunosuppressive regulatory T cells dependent on BATF and associated with poorer outcomes for head and neck squamous cell carcinomas. @PittTweet
📄: https://t.co/qm5Fvls0q0
Regulatory T cells are phenotypically and functionally heterogenous in the TME, but what are the transcriptional networks of functionally suppressive Tregs in the TME?
Our latest work from the lab and first-author @Feng_Shan_ is out now at @SciImmunology! https://t.co/VipvrWy6Q2
Two new studies present insights into regulatory T cells located in tumors associated with head and neck squamous cell carcinomas and non-small cell #LungCancer.
By @Vignali_Lab: https://t.co/9NvZsHcapW
By @SmithImmunology: https://t.co/quwGFQoy3N