Service
Single-cell Sequencing
Resolve complex tissues at single-cell resolution to uncover cell types, states, and transitions
Key advantages
Dissects cellular heterogeneity in complex tissues and populations
Identifies rare cell types, subpopulations, and novel states
Supports multi-omic profiling: gene expression, chromatin accessibility, and protein markers
Enables trajectory inference and cell differentiation analysis
Scalable for thousands to millions of cells
Applicable to cancer, immunology, neurobiology, and developmental biology
Facilitates biomarker discovery, drug response studies, and cell lineage tracing
Integrates with spatial transcriptomics for contextual insights
Technical specifications
Platforms supported: 10x Genomics Chromium, BD Rhapsody, Smart-seq2
Library types: 3’ or 5’ mRNA, V(D)J, ATAC-seq, multiome, CITE-seq
Input requirements: fresh/frozen tissues, cell suspensions, or nuclei
Cell throughput: from hundreds to >1 million cells per sample
Sequencing depth: 20K–100K reads per cell depending on application
Data outputs: FASTQ, gene-barcode matrices, clustering, differential expression, cell type annotation
Bioinformatics pipeline: demultiplexing, QC, normalization, dimensionality reduction (PCA, UMAP, t-SNE), and trajectory analysis
Optional integrations: with bulk RNA-seq, WGS, epigenomics
Data delivery: interactive dashboards, annotated cell clusters, and publication-ready figures