InquiryCancer immunotherapy can combat cancer cells and the biological environment in which they can grow, adapt and survive. For this therapy to reach more patients, a deeper dissection of the complex interactions between tumor cells and the host immune system is needed. Spatial omics is a valuable tool for immuno-oncology research to monitor the mechanisms of resistance to immunotherapeutic agents and to map the evolution of key players that can drive an effective anti-tumor immune response.
How we enable spatial omics to provide insights for immuno-oncology research
CD Genomics utilizes spatial omics technologies with unprecedented cellular resolution (e.g. single-cell spatial transcriptomics, advanced tissue histology methods, PIC-seq, HL-Chip, DBiT-seq) to amplify cell-to-cell interactions and interrogate multiple biomarkers simultaneously and systematically. This promises to provide a unique level of molecular granularity to the immuno-oncology environment and may provide better decision support to clients during drug development.
Our customers can get
- Use PIC-seq to systematically map in situ cellular interactions and characterize their molecular crosstalk.
- Use HL-Chip to align multiple different cell types/microbeads at single-cell resolution in a high-throughput process to assess specific cell and tumor cell interactions.
- Use DBiT-seq to provide very high-resolution genome-scale information. As a highly versatile tool, it can be combined with different reagents for multiple histological measurements and can work directly on existing fixed tissue slides.
Sample requirements: human, mouse, etc.
- Freshly frozen tissue sections
- Formalin-fixed paraffin-embedded (FFPE) tissue samples
General technical procedures
- Tissue preparation. Cryopreserved tissue is cut into 10-20 µm thickness and mounted onto gene expression slides.
- Tissue is permeabilized to release mRNA from the cells. These cells will bind to the spatially barcoded oligonucleotides on the slide. Reverse transcription converts the mRNA to cDNA by polymerase chain reaction. we can also immunolabel proteins to visualize the co-localization of the protein and its corresponding mRNA.
- Sequencing and data cross-referencing. Barcoded cDNAs are sequenced and analyzed using our custom software, and these data are pooled and cross-referenced with data from various tissue atlases to explain deep cellular connections and mechanisms of action.
Research areas of practical application
- Identify new potential immune checkpoint targets to discover specific immunotherapeutic targets.
- Analyze host immune responses and elucidate intrinsic tumor properties associated with therapeutic outcomes.
- Identify predictable biomarkers to gain insight into the genetic makeup of patients, interactions between tumor and immune system, and potential cancer response to immunotherapy.
- Assess the association between biomarker expression levels and the degree of adverse response.
- Determine cell-specific heterogeneity and characterize inter-and intra-tumor heterogeneity.
- Track the clonal and transcriptional phenotypes of single cells before and after treatment.
We do it better
CD Genomics offers a wide range of spatially based imaging services that provide a wealth of information to our clients. It can be applied to characterize the systemic immune landscape, map the intra-tumor microenvironment and identify cancer cell heterogeneity. Provide clients in the field of immuno-oncology research with information on the transcriptional, molecular, and functional changes involved in immune checkpoint suppression, providing new insights for identifying cancer-specific biomarkers and predicting clinical responses. And by integrating with scRNA-seq data, we have broadly penetrated spatial-omics analysis into all levels of immuno-oncology research, opening the door for researchers to continue developing next-generation immunotherapies.
