Literature DB >> 28654052

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

Jonathan B Reichel1, Jason McCormick2, Jonathan R Fromm3, Olivier Elemento4, Ethel Cesarman5, Mikhail Roshal6.   

Abstract

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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Year:  2017        PMID: 28654052      PMCID: PMC5608337          DOI: 10.3791/54399

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  15 in total

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3.  Molecular pathways of adhesion in spontaneous rosetting of T-lymphocytes to the Hodgkin's cell line L428.

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4.  Identification and purification of classical Hodgkin cells from lymph nodes by flow cytometry and flow cytometric cell sorting.

Authors:  Jonathan R Fromm; Steven J Kussick; Brent L Wood
Journal:  Am J Clin Pathol       Date:  2006-11       Impact factor: 2.493

5.  Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells.

Authors:  Jonathan Reichel; Amy Chadburn; Paul G Rubinstein; Lisa Giulino-Roth; Wayne Tam; Yifang Liu; Rafael Gaiolla; Kenneth Eng; Joshua Brody; Giorgio Inghirami; Carmelo Carlo-Stella; Armando Santoro; Daoud Rahal; Jennifer Totonchy; Olivier Elemento; Ethel Cesarman; Mikhail Roshal
Journal:  Blood       Date:  2014-12-08       Impact factor: 22.113

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Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

7.  Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.

Authors:  Christopher T Saunders; Wendy S W Wong; Sajani Swamy; Jennifer Becq; Lisa J Murray; R Keira Cheetham
Journal:  Bioinformatics       Date:  2012-05-10       Impact factor: 6.937

8.  Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.

Authors:  Helga Thorvaldsdóttir; James T Robinson; Jill P Mesirov
Journal:  Brief Bioinform       Date:  2012-04-19       Impact factor: 11.622

9.  A modified method for whole exome resequencing from minimal amounts of starting DNA.

Authors:  Iwanka Kozarewa; Juan Manuel Rosa-Rosa; Christopher P Wardell; Brian A Walker; Kerry Fenwick; Ioannis Assiotis; Costas Mitsopoulos; Marketa Zvelebil; Gareth J Morgan; Alan Ashworth; Christopher J Lord; Christopher J
Journal:  PLoS One       Date:  2012-03-05       Impact factor: 3.240

Review 10.  Next-generation sequencing to guide cancer therapy.

Authors:  Jeffrey Gagan; Eliezer M Van Allen
Journal:  Genome Med       Date:  2015-07-29       Impact factor: 11.117

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Review 1.  Cell-Free DNA for the Management of Classical Hodgkin Lymphoma.

Authors:  Vincent Camus; Fabrice Jardin
Journal:  Pharmaceuticals (Basel)       Date:  2021-03-02
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