Advanced Target Profiling in Cancer – A Spatial and Single-Cell Transcriptomics Approach
Our client’s requirement
A biotech company developing cutting-edge immunotherapies needed to understand the role of a specific target gene in the tumor microenvironment (TME) across various cancer types. Leveraging spatial transcriptomics and single-cell RNA sequencing (scRNA-seq) data, the goal was to analyze gene expression within and between distinct regions of tumor samples to uncover how the target gene impacts neighboring cells in the TME.
Our approach
Excelra’s Approach:
- Dataset Identification: Excelra began by identifying relevant datasets, focusing on cancer subtypes with statistically significant sample sizes.
- scRNA-seq Analysis: We analyzed scRNA-seq data to correlate immune cell abundances with target gene expression, revealing potential links between the target and TME dynamics.
- Region of Interest (ROI) Analysis: Using our ROI approach, we conducted both within- and across-region comparisons, identifying key genes influenced by the target gene in varied tissue regions, enhancing our understanding of its role at a molecular level.
Key Benefits
- Actionable Insights: With Excelra’s Single Cell Browser and expert data mining and analysis, the client gained actionable insights into the target’s influence on TME processes.
- Enhanced Understanding: Our findings provided a clearer view of how the target gene affects specific immune cell types and molecular pathways within tumors.
- Guided Therapeutic Strategy: The results offered valuable direction for future precision medicine strategies in oncology.
Discover how Excelra’s innovative analysis of spatial and single-cell data revealed critical insights into the tumor microenvironment—unlocking new possibilities for targeted cancer therapies.
