Advanced Target Profiling in Cancer – A Spatial and Single-Cell Transcriptomics Approach

DNA Helix

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:

Excelra began by identifying relevant datasets, focusing on cancer subtypes with statistically significant sample sizes. We analyzed scRNA-seq data to correlate immune cell abundances with target gene expression, revealing potential links between the target and TME dynamics. Additionally, using our Region of Interest (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:

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. Our findings provided a clearer view of how the target gene affects specific immune cell types and molecular pathways within tumors, offering valuable direction for future therapeutic strategies.

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. Read the full case study to learn more.

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