Single-cell RNA sequencing is giving researchers a clearer view of why some CAR-T cells persist, expand, kill tumors ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows.

You don't want to miss this! To permanently access this eBook for free, fill out the short form below. Single-cell sequencing is a valuable tool for analyzing complex cellular populations, enabling ...

The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...

Researchers from the Earlham Institute, in collaboration with the Department of Biology at the University of Oxford, have discovered three previously unrecognized lineages of the protist Bodo, each ...