"Immuno-FlowFISH": Applications for Chronic Lymphocytic Leukemia.

Autor: Hui HYL; Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia., Erber WN; Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia.; PathWest Laboratory Medicine, Nedlands, WA, Australia., Fuller KA; Translational Cancer Pathology Laboratory, School of Biomedical Sciences (M504), The University of Western Australia, Crawley, WA, Australia. kathy.fuller@uwa.edu.au.
Jazyk: angličtina
Zdroj: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2635, pp. 149-171.
DOI: 10.1007/978-1-0716-3020-4_9
Abstrakt: Imaging flow cytometry has the capacity to bridge the gap that currently exists between the diagnostic tests that detect important phenotypic and genetic changes in the clinical assessment of leukemia and other hematological malignancies or blood-based disorders. We have developed an "Immuno-flowFISH" method that leverages the quantitative and multi-parametric power of imaging flow cytometry to push the limits of single-cell analysis. Immuno-flowFISH has been fully optimized to detect clinically significant numerical and structural chromosomal abnormalities (i.e., trisomy 12 and del(17p)) within clonal CD19/CD5+ CD3- Chronic Lymphocytic Leukemia (CLL) cells in a single test. This integrated methodology has greater accuracy and precision than standard fluorescence in situ hybridization (FISH). We have detailed this immuno-flowFISH application with a carefully catalogued workflow, technical instructions, and a repertoire of quality control considerations to supplement the analysis of CLL. This next-generation imaging flow cytometry protocol may provide unique advancements and opportunities in the holistic cellular assessment of disease for both research and clinical laboratory settings.
(© 2023. Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE