Related Experiment Video
Updated: Mar 29, 2026
09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
5.5K
Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial
Maliha Mashkoor1,2, Shihua Zhang2,3,4,5, Allan Stensballe1,6
1Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, 9000 Aalborg, Denmark.
Biomedicines
|March 28, 2026
Summary
Spatial omics technologies like transcriptomics and proteomics are revolutionizing rheumatoid arthritis (RA) treatment by mapping disease heterogeneity. This enables precise targeting of immune cells and biomarkers for personalized rheumatology care.
Area of Science:
- Rheumatology
- Immunology
- Genomics
- Proteomics
- Artificial Intelligence
Background:
- Rheumatoid arthritis (RA) is a chronic autoimmune disease with complex immune cell interactions causing joint damage.
- Current RA treatments face a precision gap, limiting personalized clinical assessment and treatment strategies.
- Understanding molecular and spatial disease profiles is crucial for effective RA management.
Purpose of the Study:
- To review recent advances in spatial omics technologies for RA research.
- To highlight how these technologies address the precision gap in RA treatment.
- To explore the integration of spatial omics and AI in precision rheumatology.
Main Methods:
- Spatial transcriptomics to map molecular heterogeneity within RA tissues.
- Spatial proteomics to identify immune microenvironments and cellular niches.
- Integration of artificial intelligence for data analysis and interpretation.
Main Results:
- Spatial omics identify distinct pathogenic subpopulations and cellular niches in RA.
- These techniques reveal immune microenvironments activated during RA pathogenesis.
- Biomolecules with significant therapeutic responses and disease progression roles are identified.
Conclusions:
- Spatial omics technologies offer unprecedented opportunities for precise therapeutic targeting in RA.
- These advancements are transforming precision rheumatology by providing detailed molecular and spatial insights.
- The integration of spatial omics and AI promises more personalized and effective RA treatments.
Related Concept Videos
01:11Genome-wide Association Studies-GWAS
16.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
16.6K
01:20The JAK-STAT Signaling Pathway
13.9K
Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as SH2...
13.9K