Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mutation patterns predict drug response in acute myeloid leukemia

ABSTRACT: Mutation patterns predict drug response in acute myeloid leukemia

PROVIDER: PRJNA1138808 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Mutation patterns predict drug response in acute myeloid leukemia

Project description:Mutation patterns predict drug response in acute myeloid leukemia

| PRJNA1138809 | ENA

Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation

Project description:Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation

| PRJNA528267 | ENA

Emergent gene expression responses to drug combinations predict higher-order drug interactions

Project description:Effective design of combination therapies requires understanding the changes in cell physiology resulting from drug interactions. Here, we show that the genome-wide transcriptional response to combinations of two drugs, measured at a rigorously controlled growth rate, can predict higher-order antagonism with a third drug in Saccharomyces cerevisiae. Using isogrowth profiling, over 90% of the variation in cellular response can be decomposed into three principal components (PCs) that have clear biological interpretations. We demonstrate that the third PC captures emergent transcriptional programs that are dependent on both drugs and can predict antagonism with a third drug targeting the emergent pathway. We further show that emergent gene expression patterns are most pronounced at a drug ratio where the drug interaction is strongest, providing a guideline for future measurements. Our results provide a readily applicable recipe for uncovering emergent responses in other systems and for higher-order drug combinations.

2019-10-02 | GSE138256 | GEO

Drug-resistant acute myeloid leukemia

Project description:Drug-resistant acute myeloid leukemia

| PRJNA828404 | ENA

Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (Affymetrix SNP data set)

Project description:Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (Affymetrix SNP data set)

| PRJNA528270 | ENA

Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (RNA-seq data set)

Project description:Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (RNA-seq data set)

| PRJNA528269 | ENA

Emergent gene expression responses to drug combinations predict higher-order drug interactions

Project description:Emergent gene expression responses to drug combinations predict higher-order drug interactions

| PRJNA575231 | ENA

Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (Affymetrix SNP data set)

Project description:Mutations in the nucleophosmin 1 (NPM1) gene are considered founder mutations in the pathogenesis of acute myeloid leukemia (AML). To further characterize the genetic composition of NPM1 mutated (NPM1mut) AML, we assess mutation status of five recurrently mutated oncogenes (FLT3, DNMT3A, IDH1, IDH2, NRAS) in 129 paired NPM1mut samples obtained at diagnosis and relapse. We find a substantial shift in the genetic pattern from diagnosis to relapse including NPM1mut loss (n=11). To gain further insight into these NPM1mut loss cases, we perform whole exome sequencing (WES) and RNA-Seq. At the time of relapse, NPM1mut loss patients (pts) feature distinct mutational patterns that shared almost no somatic mutation with the corresponding diagnosis sample and impact different signaling pathways including loss of characteristic NPM1mut associated gene expression patterns. In contrast, profiles of pts with persistent NPM1mut at relapse are reflected by a high overlap of mutations between diagnosis and relapse. Thus, our findings confirm that relapse often originates from persistent leukemic clones, though NPM1mut loss cases suggest a second “de novo” or treatment-associated AML (tAML) as alternative cause of “relapse" in a subgroup of cases.

2019-05-14 | GSE128602 | GEO

Clonal evolution patterns in acute myeloid leukemia with NPM1 mutation (RNA-seq data set)

2019-05-14 | GSE128603 | GEO

Cell cycle-associated expression patterns predict gene function in mycobacteria

Project description:Cell cycle-associated expression patterns predict gene function in mycobacteria

| PRJNA613916 | ENA