High-throughput sample format enabling analysis of hundreds of patient samples simultaneously.
TMAs are constructed by extracting cylindrical cores from donor FFPELoading... blocks and arraying them into a recipient block. A single TMA can contain hundreds of patient samples, often with replicate cores and control tissues.
For biomarker studies, TMAs offer enormous efficiency: one staining run, one imaging session, and uniform conditions across all samples. This reduces technical variability and enables statistical analysis across large cohorts.
What TMAs Are: Tissue microarrays contain small cores (typically 0.6-2mm) from many patient samples arranged in a grid on a single slide.
Advantage: Test hundreds of samples under identical conditions, reducing variability and enabling large-scale studies that would otherwise be impractical.
The foundational FRET biomarker studies used TMA format:
Breast cancer (2014): 250 patient cores analyzed for Akt activation by FRET/FLIM.
ccRCC (2017): 60 patients with primary tumors and metastases on TMA.
The Violet 3.0Loading... system's automated acquisition of QF-ProLoading... FRET signals is optimized for TMA throughput, enabling rapid screening of large cohorts with minimal operator intervention.
Key Studies Used TMAs:
• Breast cancer (2014): 164+ patients—Akt activation
• ccRCC (2017): 60 patients—PKB/Akt
• Lung cancer: 150 cores—CTLA-4/CD80 validation
Why TMAs Work: They link tissue samples to clinical outcome data, enabling correlation of biomarker status with survival.
