搜索结果: 'immunocult'

The ability to analyze protein function in a native context is central to understanding cellular physiology. This study explores whether tagging endogenous proteins with a reporter is a scalable strategy for generating cell models that accurately quantitate protein dynamics. Specifically,it investigates whether CRISPR-mediated integration of the HiBiT luminescent peptide tag can easily be accomplished on a large-scale and whether integrated reporter faithfully represents target biology. For this purpose,a large set of proteins representing diverse structures and functions,some of which are known or potential drug targets,were targeted for tagging with HiBiT in multiple cell lines. Successful insertion was detected for 86{\%} of the targets,as determined by luminescence-based plate assays,blotting,and imaging. In order to determine whether endogenously tagged proteins yield more representative models,cells expressing HiBiT protein fusions either from endogenous loci or plasmids were directly compared in functional assays. In the tested cases,only the edited lines were capable of accurately reproducing the anticipated biology. This study provides evidence that cell lines expressing HiBiT fusions from endogenous loci can be rapidly generated for many different proteins and that these cellular models provide insight into protein function that may be unobtainable using overexpression-based approaches. View Publication

The function of a T cell depends on its subtype and activation state. Here,we show that imaging of the autofluorescence lifetime signals of quiescent and activated T cells can be used to classify the cells. T cells isolated from human peripheral blood and activated in culture using tetrameric antibodies against the surface ligands CD2,CD3 and CD28 showed specific activation-state-dependent patterns of autofluorescence lifetime. Logistic regression models and random forest models classified T cells according to activation state with 97-99{\%} accuracy,and according to activation state (quiescent or activated) and subtype (CD3+CD8+ or CD3+CD4+) with 97{\%} accuracy. Autofluorescence lifetime imaging can be used to non-destructively determine T-cell function. View Publication