Single Cell Transcriptomics Service
Traditional bulk sequencing provides an average expression profile of a cell population, potentially masking crucial rare cell types and hidden cellular heterogeneities. Our Single Cell Transcriptomics Service empowers researchers to analyze gene expression at the individual cell level. By capturing the unique molecular signatures of thousands to millions of single cells, we help you uncover distinct cell subpopulations, trace developmental trajectories, and understand complex biological systems with unprecedented resolution.
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- Our services
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- FAQs
Our Services
| Service Category | Specific Service | Description |
|---|---|---|
| Standard Profiling | Single-Cell RNA Sequencing (scRNA-seq) | High-throughput 3' or 5' gene expression profiling to classify cell types and states. |
| Single-Nucleus RNA Sequencing (snRNA-seq) | Ideal for complex, frozen, or hard-to-dissociate tissues (e.g., brain tissue) where whole-cell isolation is challenging. | |
| Epigenetics & Multi-Omics | Single-Cell ATAC Sequencing (scATAC-seq) | Maps chromatin accessibility at the single-cell level to identify regulatory elements. |
| Single-Cell Multiome (RNA + ATAC) | Simultaneously profiles gene expression and open chromatin from the same single nucleus. | |
| Single-Cell Multi-Omics (CITE-seq / REAP-seq) | Measures both surface protein abundance and mRNA transcripts simultaneously in single cells. They typically rely on antibody-oligo labeling and are used in conjunction with the 10x Genomics platform. | |
| High-Resolution RNA | Single-Cell Full-Length RNA Sequencing (Smart-Seq) | Provides full-length transcript coverage for detecting splice variants and low-abundance genes. |
| Advanced Bioinformatics | Cell Type Annotation & Marker Discovery | Automated and manual curation of cell clusters to identify novel biomarkers and specific cell types. |
| Disease vs Normal Comparative scRNA-seq | Differential gene expression and pathway analysis to identify disease-driving cellular mechanisms. |
Workflow
Our end-to-end service ensures high-quality data from your biological samples to publication-ready figures.
Platform
Our services are powered by state-of-the-art technology to guarantee reliable, high-throughput results:
- 10x Genomics Chromium: The gold standard for droplet-based, high-throughput single-cell partitioning.
- Plate-Based Systems (Smart-Seq): Utilized for deep, full-length transcript sequencing of a smaller number of highly sorted cells.
- Illumina NovaSeq: Providing the massive sequencing power required to achieve the necessary read depth for highly multiplexed single-cell libraries.
Applications
- Oncology: Dissect the tumor microenvironment, identify rare cancer stem cells, and understand mechanisms of drug resistance.
- Immunology: Profile immune cell repertoires, track T-cell/B-cell clonality, and study immune responses at a granular level.
- Neuroscience: Map the complex cellular architecture of the brain and investigate neurodegenerative diseases.
- Developmental Biology: Trace lineage trajectories and identify transient progenitor states during embryogenesis or tissue regeneration.
Why Choose Us
- Comprehensive Solutions: We offer a true sample-to-insight pipeline, encompassing wet-lab processing and advanced dry-lab bioinformatics.
- Expert Data Analysis: Our bioinformaticians specialize in complex single-cell datasets, offering custom comparative analyses (e.g., Disease vs. Normal) and precise cell type annotation.
- Rigorous Quality Control: Strict QC checkpoints at the cell suspension, library prep, and sequencing stages guarantee reliable data.
- Flexible & Scalable: Whether you are analyzing a few hundred cells via Smart-Seq or millions via 10x Genomics, we scale to fit your project.
FAQs
What is the difference between scRNA-seq and bulk RNA-seq?
Bulk RNA-seq averages the gene expression across thousands or millions of cells in a sample, which can obscure the differences between individual cells. scRNA-seq measures gene expression in each individual cell, allowing you to identify rare cell types, discover hidden subpopulations, and understand cellular diversity within a tissue.
When should I choose Single-Nucleus RNA Sequencing (snRNA-seq) over scRNA-seq?
snRNA-seq is highly recommended when working with frozen tissues, tissues that are difficult to dissociate into viable single cells (like brain, heart, or skeletal muscle), or when the dissociation process itself might cause stress-induced transcriptional changes in whole cells.
What kind of data deliverables will I receive at the end of the project?
Standard deliverables include raw sequencing files (FASTQ), processed gene-barcode count matrices, and comprehensive quality control reports. If you utilize our advanced bioinformatics services, you will also receive data visualization files, fully annotated cell clustering maps (UMAP/t-SNE), lists of differentially expressed genes, and publication-ready figures.
What are the sample shipping requirements?
To ensure the highest cell viability and RNA integrity, we provide specific guidelines based on your sample type. Fresh cell suspensions typically require specialized transport media and rapid "over-ice" shipping, while nuclei or fixed samples may be shipped on dry ice. Our team will provide a detailed protocol before your project starts to ensure your samples arrive in optimal condition.
How long is the typical project turnaround time?
For standard single-cell projects, our typical turnaround time is 3 to 4 weeks from the date of sample receipt. Complex projects may require additional time.
Do you support custom analysis requests?
Yes. While our standard pipeline covers extensive QC and clustering, we frequently support custom bioinformatics needs. This includes integration with your existing bulk RNA-seq data, trajectory analysis, gene regulatory network (GRN) inference, and comparative analysis against publicly available datasets.
Learn about other Q&A about other technologies.
