Single-cell RNA sequencing

BostonGene delivers high-resolution analysis of individual transcriptomes from thousands of cells within a single sample, revealing cell-specific transcriptional changes.

This cutting-edge approach uncovers molecular and cellular heterogeneity, identifying rare, functionally significant cell populations and providing deep insights into complex tumor biology.

Transcriptomic analysis with single-cell resolution

Expression levels of individual genes
Gene expression signatures
Tumor cell percentages and cellular composition of the sample
Immune cell populations and their states, including T-cell exhaustion or activation signatures
Differential gene expression analysis between functionally diverse cell populations
Development of custom gene signatures for rare cell types (both epithelial and non-epithelial)
Pseudotemporal ordering to establish temporal or developmental trajectories of single-cell profiles

Technical specifications

Explore BostonGene’s publications leveraging scRNA-seq

Cancer Cell • March 11, 2024

Multi-omic Profiling of Follicular Lymphoma Tumors Reveals Changes in Tissue Architecture and Enhanced Stromal Remodeling in High-Risk Patients

Article

Cancer Cell • August 1, 2022

Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes

Article

Science • January 1, 2023

Radiation-induced circulating myeloid-derived suppressor cells induce systemic lymphopenia after chemoradiotherapy in patients with glioblastoma

Article

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