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A pilot study of high-throughput, sequence-based mutational profiling of primary human acute myeloid leukemia cell genomes
Author(s) -
Timothy J. Ley,
Patrick Minx,
Matthew J. Walter,
Rhonda E. Ries,
Hui Sun,
Michael D. McLellan,
John F. DiPersio,
Daniel C. Link,
Michael H. Tomasson,
Timothy A. Graubert,
Howard L. McLeod,
H. Jean Khoury,
M. A. Watson,
William D. Shan,
Kathryn Trinkaus,
Sharon E. Heath,
James W. Vardiman,
Michael A. Caligiuri,
Clara D. Bloomfield,
Jeffrey Milbrandt,
Elaine R. Mardis,
Richard K. Wilson
Publication year - 2003
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2335924100
Subject(s) - biology , myeloid leukemia , genome , dna sequencing , human genome , computational biology , genetics , leukemia , gene , cancer research
In this pilot study, we used primary human acute myeloid leukemia (AML) cell genomes as templates for exonic PCR amplification, followed by high-throughput resequencing, analyzing approximately 7 million base pairs of DNA from 140 AML samples and 48 controls. We identified six previously described, and seven previously undescribed sequence changes that may be relevant for AML pathogenesis. Because the sequencing templates were generated from primary AML cells, the technique favors the detection of mutations from the most dominant clones within the tumor cell mixture. This strategy represents a viable approach for the detection of potentially relevant, nonrandom mutations in primary human cancer cell genomes.

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