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 ...
Single-cell RNA sequencing is giving researchers a clearer view of why some CAR-T cells persist, expand, kill tumors ...
Tensor is the first instrument that fully automates the complete single cell sequencing workflow for up to 32 samples, from cell suspension to sequencing-ready library. This alliance combines ...
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Advancing single-cell transcriptomics into the mainstream of biomedical research
Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows.
The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...
In this webinar, Zivjena Vucetic will discuss how single-cell sequencing improves measurable residual disease detection (MRD) ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
CHICAGO – A new gene expression atlas developed using single-cell RNA sequencing data shows how normal hematopoietic cells differentiate and was used to catalog the multiple ways that aberrant ...
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