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High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples

Authors :
Payton, Jacqueline E.
Grieselhuber, Nicole R.
Chang, Li-Wei
Murakami, Mark
Geiss, Gary K.
Link, Daniel C.
Nagarajan, Rakesh
Watson, Mark A.
Ley, Timothy J.
Source :
Journal of Clinical Investigation. June, 2009, Vol. 119 Issue 6, p1714, 13 p.
Publication Year :
2009

Abstract

Acute promyelocytic leukemia (APL) is characterized by the t(15;17) chromosomal translocation, which results in fusion of the retinoic acid receptor [alpha] (RARA) gene to another gene, most commonly promyelocytic leukemia (PML). The resulting fusion protein, PML-RARA, initiates APL, which is a subtype (M3) of acute myeloid leukemia (AML). In this report, we identify a gene expression signature that is specific to M3 samples; it was not found in other AML subtypes and did not simply represent the normal gene expression pattern of primary promyelocytes. To validate this signature for a large number of genes, we tested a recently developed high throughput digital technology (NanoString nCounter). Nearly all of the genes tested demonstrated highly significant concordance with our microarray data (P < 0.05). The validated gene signature reliably identified M3 samples in 2 other AML datasets, and the validated genes were substantially enriched in our mouse model of APL, but not in a cell line that inducibly expressed PML-RARA. These results demonstrate that nCounter is a highly reproducible, customizable system for mRNA quantification using limited amounts of clinical material, which provides a valuable tool for biomarker measurement in low-abundance patient samples.<br />Introduction Here we describe what is, to our knowledge, the first use of a high-throughput digital system to assay the expression of a large number of genes in primary clinical [...]

Details

Language :
English
ISSN :
00219738
Volume :
119
Issue :
6
Database :
Gale General OneFile
Journal :
Journal of Clinical Investigation
Publication Type :
Academic Journal
Accession number :
edsgcl.202080265