Single-Cell Genetic Analysis 

Single-cell genetic analysis provides a powerful way to understand how genetic variability among individual cells drives biological differences. Unlike bulk sequencing methods that average signals across a population, single-cell approaches reveal distinct cellular phenotypes, uncover subpopulation dynamics, and identify rare but biologically important events.

Get In-Depth Insights

• Tumor Heterogeneity and Clonal Evolution
• Immune Repertoire Mapping and Antigen Response Characterization
• Drug Resistance Mechanisms and Biomarker Discovery
• Differentiation, Stem Cell Development, and Hematopoiesis
• Vaccine and Antibody Discovery
• Neoantigen Identification and Immunophenotyping
• Modeling Lineage Plasticity in Cancer and Development

Cellecta’s Single Cell Technology Portfolio

Cellecta provides several technologies and services that enable researchers to explore genetic and transcriptional heterogeneity, monitor clonal lineage, assess immune receptor diversity, and identify gene-function relationships—one cell at a time.

Pooled CRISPR Screens with Single-Cell RNA Sequencing (scRNA-seq, CRISP-seq, Perturb-Seq, CROP-Seq, etc.)

• Investigate the effect of gene knockouts, inhibition, or activation on gene expression.
• Study transcriptional changes associated with >100 gene targets in a single experiment.
• Identify regulatory relationships missed in bulk arrayed screens.

Lineage Tracing of Cells and Clones with Barcode Libraries and Individual Constructs

• Track clonal evolution and cellular responses with stable, heritable barcodes.
• Study tumor progression, drug resistance, differentiation, and development.
• Identify genotypic differences between sub-clonal populations that exhibit differential responses or phenotypes.
• Assess cell heterogeneity in response to environmental challenges or therapies.

Identification of TCR/BCR Chain Pairs in Single Cells (scAIR)

• Profile adaptive immune receptor chains at single-cell resolution.
• Obtain full-length α/β (TCR) or IGH/IGK/IGL (BCR) chain-pair sequences.
• Analyze T-cell or B-cell subtype markers in parallel with receptor chain-pair matches.

Cellecta’s Single-Cell Technology Provides the Following

• Cost-effective Workflows: microtiter assay formats and scalable services for generating single-cell data at reasonable cost.
• Custom Services and Assay Development: tailored services for perturbation-based analysis, lineage tracking, and receptor profiling in both human and mouse models.
• Accessible Platform: no need for microfluidics or droplet-based instruments—Cellecta’s plate-based systems work with standard lab equipment.
• Bioinformatics Analysis: downstream analysis services and interpretation support from Cellecta’s bioinformatics team.

More Information

1. CloneTracker™ Barcode Libraries
2. Custom Barcode Libraries
3. Single Barcode Constructs
4. Single-Cell CRISPR Screening Service
5. DriverMap™ Single-Cell AIR Kits
6. DriverMap™ Single-Cell AIR Profiling Service