Related Experiment Video
Updated: Aug 8, 2026

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
Published on: December 28, 2015
Molecular Assessment of Clonality in Lymphoproliferative Disorders: I. Immunoglobulin Gene Rearrangements
1Division of Molecular Diagnostics, University of Minnesota School of Medicine, Minneapolis, Minnesota, USA
Abstract:
The non-Hodgkins' lymphomas are a diverse group of malignancies with characteristic clinical and laboratory features. The routine evaluation of these lesions includes histologic and immunophenotypic analyses. In the small percentage of cases that pose diagnostic challenges, the algorithm can include molecular genetic studies to help render a diagnosis. Unique immunoglobulin heavy- and light-chain or T-cell-receptor gene rearrangements are used to establish clonality in B- and T-cell proliferations. Whereas clonality is usually a hallmark of a malignant process, the absence of clonality does not exclude malignancy. This is predicted on the disparate biology of the various lympho-proliferative processes and on the technical aspects of the tests used for their identification. As molecular genetic testing for gene rearrangements becomes commonplace in the clinical laboratory, the variety of methods for performing these tests has increased. Since molecular testing may be the deciding feature in making a diagnosis of malignancy, the purpose of this review is to discuss the advantages and problems of the polymerase chain reaction and Southern blot method in detecting immunoglobulin gene rearrangements in B cells. The added goal of this summary is to encourage the laboratorian to interpret these tests in the context of complete clinical and histologic data.
More Related Videos
09:02Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
07:52Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
Published on: January 9, 2019