Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Protein coding gene expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

ABSTRACT: Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measured with Agilent microarrays covering protein-coding genes and long (>200 nt) noncoding RNAs (lncRNAs). Sets of genes and lncRNAs significantly differentially expressed (>1.5 fold-change; q value ?10%) were identified. Ingenuity Pathway Analysis pointed to a number of functions, canonical pathways and gene networks that were significantly enriched with differentially expressed genes. In addition to protein-coding genes, lncRNAs have been recently implicated in pathways leading to tumorigenesis. Our data point to new possible regulatory elements involved in dasatinib resistance in CML. Dasatinib pre-treatment and 1-yr post-treatment samples from 3 responders (R) or 4 non-responders (NR) chronic myeloid leukemia (CML) patients were investigated. We analyzed expression of Pre-treatment R vs. Pre-treatment NR; Pre-treatment R vs. Post-treatment NR; Pre-treatment NR vs. Post-treatment NR.

ORGANISM(S): Homo sapiens

SUBMITTER: Angela Fachel

PROVIDER: E-GEOD-33224 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Protein-coding genes and long noncoding RNAs are differentially expressed in dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib.

Silveira Rosana A RA Fachel Angela A AA Moreira Yuri B YB De Souza Carmino A CA Costa Fernando F FF Verjovski-Almeida Sergio S Pagnano Katia B B KB

Hematology (Amsterdam, Netherlands) 20131125 1

Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measure ...[more]

PMID: 23676950

Similar Datasets

Project description:This study was designed to identify changes in gene expression when corn was placed under various related stresses including being grown with a competing weed (canola) to the V4 or V8 stage, or when 40% shade cloth was present to the V4 or V8 stage, or under low nitrogen (no added nitrogen fertilizer), or under weed/shade free fertilized control conditions. In all 5 treatments and the control, samples were harvested at V8. Mechanisms underlying early season weed stress on crop growth are not well described. Corn vegetative growth and development, yield, and gene expression response to nitrogen (N), light (40% shade), and weed stresses were compared with the response of nonstressed plants. Vegetative parameters, including leaf area and biomass, were measured from V2 toV12 corn stages. Transcriptome (2008) or quantitative Polymerase Chain Reaction (q PCR) (2008/09) analyses examined differential gene expression in stressed versus nonstressed corn at V8. Vegetative parameters were impacted minimally by N stress although grain yield was 40% lower. Shade, present until V2, reduced biomass and leaf area > 50% at V2 and, at V12, recovering plants remained smaller than nonstressed plants. Grain yields of shade-stressed plants were similar to nonstressed controls, unless shade remained until V8. Growth and yield reductions due to weed stress in 2008 were observed when weeds remained until V6. In 2009, weed stress at V2 reduced vegetative growth, and weed stress until V4 or later reduced yield. Principle component analysis of differentially expressed genes indicated that shade and weed stress had more similar gene expression patterns to each other than to nonstressed or low N stressed tissues. Weed-stressed corn had 630 differentially expressed genes compared with the nonstressed control. Of these genes, 259 differed and 82 were shared with shade-stressed plants. Corn grown in N-stressed conditions shared 252 differentially expressed genes with weed-stressed plants. Ontologies associated with light/photosynthesis, energy conversion, and signaling were down-regulated in response to all three stresses. Although shade and weed stress clustered most tightly together, only three ontologies were shared by these stresses, O-methyltransferase activity (lignification processes), Poly U binding activity (post-transcriptional gene regulation), and stomatal movement. Based on both morphologic and genomic observations, results suggest that shade, N, and weed stresses to corn are regulated by both different and overlapping mechanisms. three biological replicates for each treatment and the control were collected and the resulting labeled cDNA was hybridized to the 46,000-element maize microarray chip developed by the University of Arizona using their protocol (International Microarray Workshop Handbook, 2009Gardiner et al. 2005). The hybridization scheme was a dual hybridization using a rolling circle balanced dye swap design. Thus we had thre biological replicates for each growth condition amd two technical replicates for each biological sample.

Project description:Triple negative breast cancer (TNBC) is histologically characterized by the absence of the hormone receptors estrogen and progesterone, in addition to having a negative immunostain for HER-2. The aggressiveness of this disease and lack of targeted therapeutic options for treatment is of high clinical importance. MicroRNAs are short 21- to 23 nucleotide endogenous non-coding RNAs that regulate gene expression by binding to mRNA transcripts, resulting in either decreased protein translation or mRNA degradation. Dysregulated expression of miRNAs is now a hallmark of many human cancers. In order to identify a miRNA/mRNA interaction that is biologically relevant to the triple negative breast cancer genotype/phenotype, we initially conducted a miRNA profiling experiment to detect differentially expressed miRNAs in cell line models representing the triple negative (MDA-MB-231), ER+ (MCF7), and HER-2 overexpressed (SK-BR-3) histotypes. We identified human miR-34a expression as being >3-fold down (from its median expression value across all cell lines) in MDA-MB-231 cells, and identified AXL as a putative mRNA target using multiple miRNA/target prediction algorithms. The miR-34a/AXL interaction was functionally characterized through ectopic overexpression experiments with a miR-34a mimic. In reporter assays, miR-34a binds to the putative target site within the AXL 3’UTR to affect luciferase expression. We also observed degradation of AXL mRNA and decreased AXL protein levels, as well as cell signaling effects on AKT phosphorylation and phenotypic effects on cell migration. Finally, we present an inverse correlative trend in miR-34a and AXL expression for both cell line and patient tumor samples. The small RNA (sRNA) fraction from four separate passages (biological replicates) of MCF7, SK-BR-3, MDA-MB-231, and MCF10A cells were extracted using Qiagen’s miRNeasy kit following the manufacturer’s instructions (Qiagen; Germantown, MD). Five micrograms of sRNA was labeled with either Cy3 (MCF10A) or Cy5 (breast cancer cell) fluorescent label (GE Healthcare; Piscataway, NJ) using the mirVana miRNA labeling kit (Ambion; Austin, TX). The labeled products were hybridized to miRVana miRNA Bioarrays V2 (Ambion, Austin, TX) and washed following the manufacturer’s protocol. Each array was comprised of 328 human miRNA probes in addition to 114 mouse and 46 rat miRNAs. The comparative hybridization for each breast cancer cell line to the reference MCF10A cell line control was conducted in quadruplicate (n=12 total arrays). Processed arrays were scanned for dual channel hybridization using a GenePix 4000B scanner (Molecular Devices; Sunnyvale, CA). Analyses were performed using BRB-Array Tools Version 3.8.1 (http://linus.nci.nih.gov/BRB-ArrayTools.html). Replicate spots for each miRNA were averaged within the array, background adjusted, and log2 normalized. Normalization was performed using a per chip median normalization method. Only those miRNAs with at least a 3-fold change in expression from its median value across all arrays, in at least 33% of all arrays tested, were retained. Samples and genes were hierarchical clustered with average linkage under the Euclidian distance similarity metric using the Cluster 3.0 (http://rana.stanford.edu/software) and Java TreeView 1.1.4r3 applications. MiRNA probes of mouse, rat, and manufacturer’s (Ambion) origins that passed the gene filter were excluded from future analyses.

Dataset Information

Protein coding gene expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

Publications

Protein-coding genes and long noncoding RNAs are differentially expressed in dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets