BACKGROUND: Flow cytometry (FC) is a standard method for diagnosing and subclassifying acute myeloid (AML) and acute lymphoblastic (ALL) leukemias and allows the analysis of cell surface and intracellular proteins. In the future, diagnostic procedures may include oligonucleotide microarray analysis (MA) to detect expression patterns of large numbers of specific genes. METHODS: For comparison between methods, we performed FC and MA by using the Affymetrix GeneChip HG-U133A microarray in parallel and correlated protein expression levels and mRNA abundance of 39 relevant genes in 113 patients with newly diagnosed AML and ALL and four normal bone marrow samples. RESULTS: In 1,512 of 2,187 (69.1%) comparisons between methods, congruent results were obtained with regard to positivity or negativity of expression, respectively. Specifically, there was a significant correlation between protein expression and mRNA abundance for genes essential for diagnosing and subclassifying AML and ALL with regard to positivity and expression. CONCLUSIONS: These data suggest that protein expression is highly correlated to mRNA abundance in AML and ALL. Further, expression patterns of specific genes provide important information at diagnosis for patients with AML and ALL that may be used for the discrimination from other leukemias. Copyright 2003 Wiley-Liss, Inc.
BACKGROUND: Flow cytometry (FC) is a standard method for diagnosing and subclassifying acute myeloid (AML) and acute lymphoblastic (ALL) leukemias and allows the analysis of cell surface and intracellular proteins. In the future, diagnostic procedures may include oligonucleotide microarray analysis (MA) to detect expression patterns of large numbers of specific genes. METHODS: For comparison between methods, we performed FC and MA by using the Affymetrix GeneChip HG-U133A microarray in parallel and correlated protein expression levels and mRNA abundance of 39 relevant genes in 113 patients with newly diagnosed AML and ALL and four normal bone marrow samples. RESULTS: In 1,512 of 2,187 (69.1%) comparisons between methods, congruent results were obtained with regard to positivity or negativity of expression, respectively. Specifically, there was a significant correlation between protein expression and mRNA abundance for genes essential for diagnosing and subclassifying AML and ALL with regard to positivity and expression. CONCLUSIONS: These data suggest that protein expression is highly correlated to mRNA abundance in AML and ALL. Further, expression patterns of specific genes provide important information at diagnosis for patients with AML and ALL that may be used for the discrimination from other leukemias. Copyright 2003 Wiley-Liss, Inc.
Authors: Sanjeeva Herath; Hongying Dai; Jonathan Erlich; Amy Ym Au; Kylie Taylor; Lena Succar; Zoltán H Endre Journal: PLoS One Date: 2020-05-21 Impact factor: 3.240
Authors: Brian P Zambrowicz; Alejandro Abuin; Ramiro Ramirez-Solis; Lizabeth J Richter; James Piggott; Hector BeltrandelRio; Eric C Buxton; Joel Edwards; Rick A Finch; Carl J Friddle; Anupma Gupta; Gwenn Hansen; Yi Hu; Wenhu Huang; Crystal Jaing; Billie Wayne Key; Peter Kipp; Buckley Kohlhauff; Zhi-Qing Ma; Diane Markesich; Robert Payne; David G Potter; Ny Qian; Joseph Shaw; Jeff Schrick; Zheng-Zheng Shi; Mary Jean Sparks; Isaac Van Sligtenhorst; Peter Vogel; Wade Walke; Nianhua Xu; Qichao Zhu; Christophe Person; Arthur T Sands Journal: Proc Natl Acad Sci U S A Date: 2003-11-10 Impact factor: 11.205