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Biobanking strategy and sample preprocessing for integrative research in monoclonal gammopathies
T Ševčíková1,2, K Growková2,3, Z Kufová2,4
1Department of Haemato-oncology, University Hospital Ostrava, Ostrava, Czech Republic.
Journal of Clinical Pathology
|April 1, 2017
Summary
This study optimizes protocols for processing limited aberrant cells in monoclonal gammopathies, enabling detailed characterization. Whole genome amplification is highlighted as a powerful tool for analyzing scarce cell populations in haemato-oncology research.
Area of Science:
- Haemato-oncology
- Molecular Biology
- Cell Biology
Background:
- Monoclonal gammopathies often involve scarce aberrant cells, challenging high-throughput research.
- Current research requires substantial starting material, posing difficulties for patient sample acquisition.
- Standardized protocols are needed for effective sample processing in haemato-oncology.
Purpose of the Study:
- To establish optimal laboratory protocols for sample collection, sorting, and preprocessing of monoclonal gammopathy cells.
- To provide guidelines for nucleic acid isolation and amplification techniques.
- To address challenges associated with limited cell numbers in research.
Main Methods:
- Comparison and optimization of freezing and sorting protocols for plasma cells.
- Evaluation of various nucleic acid isolation kits for DNA and RNA yield.
- Assessment of whole genome amplification techniques for small cell populations.
Main Results:
- Quantification of aberrant cell numbers across different monoclonal gammopathies.
- Determination of nucleic acid yield from various isolation kits using limited cell inputs.
- Demonstration of comparable outputs from parallel isolation kits versus specialized kits.
Conclusions:
- Optimized protocols facilitate comprehensive analysis of limited aberrant cells in monoclonal gammopathies.
- Parallel isolation kits provide outputs comparable to specialized kits.
- Whole genome amplification is a valuable method for obtaining complex data from minimal cell samples.