Neorabio-Home-Single-cell Sequencing Services

Current Location: HOME> Technical Services> Multi-Omics Services> Single-cell Sequencing Services> Single-cell Sequencing Services

Single-cell Sequencing Services

Neorabio provides single-cell sequencing services designed to enable high-resolution characterization of cellular heterogeneity within complex biological systems. The introduction of single-cell transcriptome profiling demonstrated that gene expression programs can be resolved at the level of individual cells, revealing rare cell types and dynamic cellular states that are obscured in bulk measurements, as first shown in pioneering single-cell RNA sequencing studies by Tang et al. (2009). This conceptual and technical advance established single-cell sequencing as a foundational approach for studying development, immune responses, and disease-associated cellular diversity.

About Service

Neorabio's single-cell sequencing services are built on an integrated workflow combining standardized sample preparation, microfluidic-based cell partitioning, next-generation sequencing, and controlled computational analysis. In data processing and interpretation, Neorabio applies analytical principles aligned with community-validated single-cell RNA-seq workflows, in which cell-level quality filtering, normalization, dimensionality reduction, and clustering are treated as interdependent determinants of biological interpretability. These principles have been formalized in best-practice analytical frameworks, ensuring reproducible identification of cell populations and transcriptional states across studies.

Our Scope

● Single-cell RNA Sequencing (scRNA-seq)
● Transcriptome-wide profiling of gene expression at single-cell resolution
● Cell Population and State Analysis
● Identification and annotation of distinct cell types and transcriptional states
● Exploratory and Integrative Analysis Support
● Preparation of single-cell datasets for downstream trajectory, atlas, or multi-omics studies

Applications

● Analysis of cellular heterogeneity within complex tissues
● Identification of rare or previously uncharacterized cell populations
● Investigation of developmental and differentiation trajectories
● Immune cell profiling and state characterization
● Foundation for advanced analyses such as spatial transcriptomics or perturbation studies

Workflow

Exploratory Consultation → Sample Preparation & Cell Strategy Planning → Single-Cell Library Construction & Sequencing → Cell-Level QC, Clustering & Annotation → Biological Interpretation of Cellular States → Final Report Delivery & Scientific Review

References

Tang, F., et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nature Methods, 2009, 6(5): 377–382. DOI: 10.1038/nmeth.1315
Luecken, M. D., Theis, F. J. Current best practices in single-cell RNA-seq analysis: a tutorial. Molecular Systems Biology, 2019, 15(6): e8746. DOI: 10.15252/msb.20188746
Regev, A., et al. The Human Cell Atlas. eLife, 2017, 6: e27041. DOI: 10.7554/eLife.27041
Trapnell, C., et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nature Biotechnology, 2014, 32(4): 381–386. DOI: 10.1038/nbt.2859

Inquiry Center

Project execution at Neorabio emphasizes traceable data processing, rigorous quality control, and transparent reporting across experimental and computational stages. To support reliable cell-type annotation and downstream analysis, clustering and marker gene identification are performed using statistical and visualization strategies widely applied in large-scale single-cell studies, including atlas-level analyses of cellular diversity. In addition, single-cell datasets are structured to facilitate integration with trajectory inference and perturbation-based analyses. By anchoring deliverables to these established analytical conventions, Neorabio provides annotated single-cell expression datasets and reports that can be confidently reused in functional and integrative research.

NEORABIO

Technical Services

About Service

Our Scope

Applications

Workflow

References

Inquiry Center