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Updated: May 14, 2026

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Published on: November 26, 2018

CGH protocols: chronic lymphocytic leukemia.

Esteban Braggio¹, Rafael Fonseca, Neil E Kay

¹Mayo Clinic Arizona, Scottsdale, AZ, USA. braggio.esteban@mayo.edu

Methods in Molecular Biology (Clifton, N.J.)

|February 16, 2013

Summary

This summary is machine-generated.

Array-based comparative genomic hybridization (aCGH) identifies cancer-causing genetic changes. This study details the aCGH protocol for B-chronic lymphocytic leukemia (CLL) research and its clinical outcome applications.

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Published on: July 20, 2016

Area of Science:

Genomics
Oncology
Molecular Biology

Background:

Array-based comparative genomic hybridization (aCGH) is crucial for detecting copy number abnormalities in cancer pathogenesis.
It is the established standard for whole-genome copy number analysis in large research and clinical settings.
Optimizing aCGH workflows is essential for assay performance.

Purpose of the Study:

To present the specific aCGH protocol utilized for studying B-chronic lymphocytic leukemia (CLL).
To explore preliminary applications of aCGH in correlating with clinical outcomes in CLL patients.

Main Methods:

Detailed description of the aCGH protocol employed by the research group.
Application of the aCGH assay in the context of B-chronic lymphocytic leukemia.
Analysis of aCGH data in relation to clinical data.

Main Results:

The study provides a specific, reproducible aCGH protocol for CLL research.
Initial findings demonstrate the utility of aCGH in understanding CLL pathogenesis and clinical associations.
The described protocol facilitates robust copy number variation analysis.

Conclusions:

The presented aCGH protocol is effective for B-chronic lymphocytic leukemia research.
aCGH analysis offers valuable insights into the genetic landscape and clinical behavior of CLL.
This work supports the use of aCGH as a gold standard in cancer genomics.