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Abstract

Genetics

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published: June 10th, 2017

DOI:

10.3791/54399

1Innovation Laboratory, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, 2Flow-Sorting Core Facility, Weill Cornell Medical College, 3Department of Laboratory Medicine, University of Washington, 4Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medical College, 5Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, 6Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center

The Hodgkin Reed-Sternberg cells of classical Hodgkin lymphoma are sparsely distributed within a background of inflammatory lymphocytes and typically comprise less than 1% of the tumor mass. Material derived from bulk tumor contains tumor content at a concentration insufficient for characterization. Therefore, fluorescence activated cell sorting using eight antibodies, as well as side- and forward-scatter, is described here as a method of rapidly separating and concentrating with high purity thousands of HRS cells from the tumor for subsequent study. At the same time, because standard protocols for exome sequencing typically require 100-1,000 ng of input DNA, which is often too high, even with flow sorting, we also provide an optimized, low-input library construction protocol capable of producing high-quality data from as little as 10 ng of input DNA. This combination is capable of producing next-generation libraries suitable for hybridization capture of whole-exome baits or more focused targeted panels, as desired. Exome sequencing of the HRS cells, when compared against healthy intratumor T or B cells, can identify somatic alterations, including mutations, insertions and deletions, and copy number alterations. These findings elucidate the molecular biology of HRS cells and may reveal avenues for targeted drug treatments.

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Keywords Flow sorting

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