Constructs and CRISPR-Cas9–mediated gene knockout and overexpression cell line generation Cell lines with knockout of target genes were generated as previously described.49,50 CRISPR-mediated KO plasmids containing gRNAs targeting FDX1, IRF1, STAT1, and JAK1 were generated in lentiCRISPR v2 (Addgene) according to the standard protocol. The sequences of sgRNAs used in the current study are listed in Table S3.
Abstract T cells have important functions in development and disease processes through T cell receptor (TCR)-dependent activities. Many tools were developed to predict the binding between TCRs and antigens. However, one of the uncertainties is whether such tools can decipher how small changes in the TCRs or antigenic peptides contribute to binding. We develop a deep learning model, pMTnet-omni, which not only predicts the binding vs.
Abstract Immune checkpoint inhibitors (ICIs) extend survival in many patients with cancer but are ineffective in patients without pre-existing immunity1,2,3,4,5,6,7,8,9. Although personalized mRNA cancer vaccines sensitize tumours to ICIs by directing immune attacks against preselected antigens, personalized vaccines are limited by complex and time-intensive manufacturing processes10,11,12,13,14.
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