SeekGene – Deeper Biology. Better Economics.

The Next Generation of Single-Cell Discovery Traditional single-cell workflows often force researchers into a trade-off between high costs and limited data depth. SeekGene BioSciences eliminates these barriers. Built around the SeekOne® Digital Droplet System, this platform allows you to scale your research without compromising on the complexity of your biological questions.

The SeekGene Advantage: Why Labs are Switching

• Full-Length Transcriptomics (scFAST-seq): Unlike 3’ biased platforms, SeekGene captures the entire transcript. This allows for the detection of alternative splicing, SNPs, gene fusions, and isoforms that are invisible to standard workflows.
• True Multi-Omics Integration: Seamlessly correlate gene expression with epigenetics (Methylation) and chromatin accessibility (ATAC) from the same single cell.
• True Single-Cell Spatial (SeekSpace™): Map every cell’s story with unparalleled precision. Unlike "bin-based" spatial methods that average signals across multiple cells, SeekSpace™ utilizes in-situ nuclei labeling combined with droplet separation. This preserves true single-cell resolution while enabling massive-scale spatial transcriptomics (up to 120,000 nuclei) with high sensitivity for both polyA and non-polyA RNA.
• Superior Economics: With a reusable chip architecture and flexible 1–8 sample processing, SeekGene reduces consumable waste and lowers the cost per experiment by up to 50% compared to traditional droplet systems.
• Open Bioinformatics: No more proprietary "black box" software. The SeekSoul™ ecosystem is open-source and compatible with existing pipelines.

Highlight: SeekOne® DD scFAST-seq Kit

The New Standard for Full-Length Single-Cell Transcriptomics While traditional single-cell methods are limited by 3’ or 5’ end-bias, the scFAST-seq (Single Cell Full-length RNA Sequence Transcriptome-seq) kit provides unbiased, full-length coverage across the entire gene body. This allows researchers to move beyond simple gene counting and unlock the full complexity of the transcriptome.

• Beyond PolyA Limits: Capture transcripts that standard methods miss, including non-polyA lncRNAs, histone mRNAs, and viral RNAs.
• Mutation & Splicing Discovery: Detect critical genetic variations such as SNPs, gene fusions, and alternative splicing events (e.g., EGFR 19del) at single-cell resolution.
• Superior Performance: Validated across diverse species (Human, Mouse, Macaque) and complex tissue types (PBMC, Ovarian Cancer, Liver, Brain).
• Efficiency: Achieves high cell capture rates (~90%) with exceptionally low doublet rates (<0.5%).

Highlight: SeekOne® DD Multiome Methylation + RNA Kit

Single-Base Precision Dual-Omics from a Single Cell This innovative kit enables the simultaneous detection of DNA methylation (5mC/5hmC) and gene expression from the same individual cell. By linking epigenetic regulation directly to transcriptional phenotypes, researchers can finally tell the "complete causal story" of cellular identity.

• True Single-Base Resolution: Detect DNA methylation with nucleotide precision to map regulatory mechanisms with unmatched accuracy.
• High-Throughput Discovery: Process up to 12,000 cells per run, providing the scale needed for comprehensive cell atlas and lineage tracing projects.
• Comprehensive Coverage: Offers up to 93% whole-genome coverage and a high CT conversion rate of 99.66%.
• Native Data Alignment: Seamlessly integrate methylome and transcriptome data without the batch effects associated with multi-platform workflows.
• Validated Reliability: Demonstrates high concordance with gold-standard single-cell methylome reference patterns (e.g., Nature 2023).

Ideal Applications for SeekGene Platforms

• Oncology: Identifying epigenetic drivers of tumor heterogeneity and drug resistance.
• Immunology: Mapping high-resolution immune repertoires and regulatory logic.
• Neurology: Analyzing fragile nuclei samples and complex lineage trajectories in brain tissue.
• Biomarker Discovery: Pinpointing correlated epigenetic and transcriptional signatures for diagnostic and prognostic potential.