Arjan BoltjesJun 20, 2024

... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

https://pubmed.ncbi.nlm.nih.gov/38844062/

Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

#science #cancer #immunology

Single-cell transcriptomic analysis of the immune microenvironment in pediatric acute leukemia - PubMed

Relapse and treatment resistance pose significant challenges in the management of pediatric B cell acute lymphoblastic leukemia (B-ALL) and acute myeloid leukemia (AML). The efficacy of immunotherapy in leukemia remains limited due to factors such as the immunosuppressive tumor microenvironment (TME …

PubMed
DiverseTCRFeb 9, 2023
It's almost become #fancy to do #scTCRseq and make conclusions on #specificity ...we are no where close to it...read this carefully. #Amazing #TCRs https://www.nature.com/articles/s41577-023-00835-3
Can we predict T cell specificity with digital biology and machine learning? - Nature Reviews Immunology

Koohy and co-workers discuss how we must turn to machine-learning approaches to define the antigen specificity of the many millions of possible T cell receptors. They review the models and methods currently being used to predict cognate antigens for orphan T cell receptors.

Nature