Single-Cell Sequencing Vol 2: The Essentials

Single-Cell 101, Volume 2: The Essentials takes you beyond the basics, with new content on cell and gene therapy (CGT) and single-cell RNA analysis. Learn how single-cell multi-omics reveals clonal architecture, tracks tumor evolution, and connects genotype to phenotype across cancer and cell and gene therapy applications. From therapeutic resistance and MRD to functional phenotyping and genome engineering, this essential guide shows how single-cell technologies are driving the next wave of precision medicine.

Frequently Asked Questions

1. How does single-cell sequencing differ from the bulk NGS I’m already using?

Bulk sequencing provides an average of mutations across a sample, which can act as a "black box" regarding clonal structure. This eBook illustrates how single-cell DNA sequencing (scDNA-seq) preserves individual cell identities to measure mutational co-occurrence, zygosity, and rare cell populations that bulk methods often miss.

2. Can this technology help me understand why my patients are relapsing?

Yes. The eBook details how single-cell analysis can detect high-risk, therapy-resistant clones that are too rare for bulk NGS to identify at diagnosis or during treatment. You will find a retrospective case study on AML showing how scDNA-seq revealed the specific clones that survived therapy and drove relapse.

3. What is "proteogenomic profiling," and why is it important for cancer research?

Proteogenomic profiling is the simultaneous measurement of genotype (DNA) and immunophenotype (cell-surface proteins) in the same cell. This eBook explains how this multi-omics approach allows you to classify cells by both their mutation profile and their functional state, providing a far more granular view of tumor heterogeneity than DNA alone.

4. How can single-cell multi-omics improve the safety of Cell and Gene Therapies (CGT)?

Conventional bulk assays can hide rare but dangerous events like off-target genetic edits or unwanted cell clones. This asset outlines how scDNA-seq allows developers to verify Vector Copy Number (VCN), on/off-target editing, and genome integrity across thousands of individual cells in a single assay, significantly accelerating quality control.