The Fine Balance of Immunology
The immune system often plays a role in the onset and progression of different disorders such as autoimmunity, fibrosis, and cancer. Understanding which cell types, cytokines, pathways, and transcription factors are involved in the balance between immune activation and suppression can lead to better treatments for chronic inflammation and disease. In addition to traditional bulk expression and proteomic analysis, spatial profiling of the location of immune cells in tissue can yield a better understanding of disease pathogenesis, uncovering differences within individuals as well as novel biomarkers for stratification and treatment.
We know it’s a challenge as an immunologist to piece together what underlies healthy versus exhausted or abnormal immune system function. Projects often involve many different research techniques, cell types, and biomolecules and you may be working with a variety of sample types. Even more of a challenge is understanding how different immune cells and biomolecules function and communicate in situ in the tissue in response to disease.
How much could you advance your understanding of the immune system if you had access to a multiplexed technology platform for transcriptomic and proteomic analysis of multiple sample types such as Formalin-Fixed, Paraffin-Embedded (FFPE) tissue sections, fresh frozen tissue, cell lysates, PBMCs and whole blood? Make an impact on human health faster with streamlined bulk and spatial analysis of RNA, protein, and immune cell types using the combined power of the nCounter® Analysis System and the GeoMx® Digital Spatial Profiler.
Choose from curated, multiplexed nCounter Gene Expression Panels, nCounter Vantage 3D™ Protein Assays, GeoMx DSP RNA Assays, and/or GeoMx Protein Assays to build your next experiment and discover answers to your immunology questions. Take advantage of embedded immune cell typing signatures in nCounter expression panels to quantify the relative abundance of 14 different immune cell types or run an nCounter panel downstream of FACs to profile specific immune cell populations.
Analyze 35 pathways across 770 human or mouse genes focused on the biology driving autoimmune disorders
Develop gene signatures for organ rejection with a curated panel developed in collaboration with the Banff Foundation for Allograft Pathology
Profile 770 genes across 51 annotated pathways to study the four stages of fibrotic disease in the liver, lung, kidney, heart, and skin Vantage 3D™ RNA Expression
Track protein expression of key cell surface receptors, lineage markers, and regulatory molecules to monitor shifts in cell type abundance and activation status
Immunostimulatory cancer-associated fibroblast subpopulations can predict immunotherapy response in head and neck cancer.
Purpose: Cancer-associated fibroblasts (CAF) have been implicated as potential mediators of checkpoint immunotherapy response. However, the extensive heterogeneity of these cells has precluded rigorous understanding of their immunoregulatory role in the tumor microenvironment.
Spatial profiling reveals association between WNT pathway activation and T-cell exclusion in acquired resistance of synovial sarcoma to NY-ESO-1 transgenic T-cell therapy.
Background: Genetically engineered T-cell immunotherapies for adoptive cell transfer (ACT) have emerged as a promising form of cancer treatment, but many of these patients develop recurrent disease. Furthermore, delineating mechanisms of resistance may be challenging since the analysis of bulk tumor profiling can be complicated by spatial heterogeneity.
A Novel Artificial Intelligence–Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.
To develop a novel artificial intelligence (AI)–powered method for the prediction of prostate cancer (PCa) early recurrence and identification of driver regions in PCa of all Gleason Grade Group (GGG). MATERIALS AND METHODS: Deep convolutional neural networks were used to develop the AI model.