Tissue Microarrays (TMAs) are high-throughput tools in pathology and molecular biology that revolutionize the analysis of multiple tissue samples simultaneously. TMAs involve the collection of small, standardized tissue cores from various specimens and embedding them into a single paraffin block. This enables researchers to study numerous tissues on a single microscope slide, facilitating parallel analysis and comparison of biomarker expression or genetic features across diverse samples. TMAs have applications in cancer research, allowing investigators to study large patient cohorts efficiently and identify potential biomarkers for diagnosis, prognosis, or therapeutic response. They play a crucial role in translational research, bridging the gap between basic science discoveries and clinical applications. TMAs streamline the validation of potential targets for drug development, aiding in the identification of therapeutic targets. The efficiency and cost-effectiveness of TMAs make them valuable resources in both diagnostic pathology and research settings. Ongoing advancements in technology and automation continue to enhance the utility and precision of tissue microarrays, making them integral tools for studying tissue heterogeneity and advancing our understanding of complex diseases.
Title : AI-integrated high-throughput tissue-chip for space-based biomanufacturing applications
Kunal Mitra, Florida Tech, United States
Title : Will be updated soon...
Vasiliki E Kalodimou, European University-Cyprus Ltd, Cyprus
Title : Will be updated soon...
Nagy Habib, Imperial College London, United Kingdom
Title : Will be updated soon...
Alexander Seifalian, Nanotechnology & Regenerative Medicine Commercialisation Centre, United Kingdom
Title : Advanced 3D tissue models: Pioneering tools for investigating health and disease
Lucie Bacakova, Institute of Physiology of the Czech Academy of Sciences, Czech Republic
Title : Developing iPSC-derived 3D Outer Blood-Retinal Barrier Disease Models of Choroideremia for Gene Therapy Evaluation
Aradhana Kasimsetty, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), United States