Cucuianu2010 - A hypothetical-mathematical model of acute myeloid leukaemia pathogenesis
Ontology highlight
ABSTRACT:
SUBMITTER: 
Johannes Meyer
PROVIDER: BIOMD0000000799 | BioModels | 2024-09-02
REPOSITORIES: BioModels
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| BIOMD0000000799?filename=Cucuianu2010.cps | Other | |||
| BIOMD0000000799?filename=Cucuianu2010.sedml | Other | |||
| BIOMD0000000799?filename=Cucuianu2010.xml | Xml |
Items per page: 5 1 - 3 of 3 |
Similar Datasets
Project description:This is a mathematical model describing the hematopoietic lineages with leukemia lineages, as controlled by end-product negative feedback inhibition. Variables include hematopoietic stem cells, progenitor cells, terminally differentiated HSCs, leukemia stem cells, and terminally differentiated leukemia stem cells.
2024-09-02 | BIOMD0000000898 | BioModels
Project description:We investigate the personalisation and prediction accuracy of mathematical models for white blood cell (WBC) count dynamics during consolidation treatment using intermediate or high-dose cytarabine (Ara-C) in acute myeloid leukaemia (AML). Ara-C is the clinically most relevant cytotoxic agent for AML treatment. We extend a mathematical model of myelosuppression and a pharmacokinetic model of Ara-C with different hypotheses of Ara-C's pharmacodynamic effects. We cross-validate the 12 model variations using dense WBC count measurements from 23 AML patients. Surprisingly, the prediction accuracy remains satisfactory in each of the models despite different modelling hypotheses. Therefore, we compare average clinical and calculated WBC recovery times for different Ara-C schedules as a successful methodology for model discrimination. As a result, a new hypothesis of a secondary pharmacodynamic effect on the proliferation rate seems plausible. Furthermore, we demonstrate the impact of treatment timing on subsequent nadir values based on personalised predictions as a possibility for influencing/controlling myelosuppression.
| S-EPMC6602180 | biostudies-literature
Project description:Eukaryotic ribosomal RNA carries diverse posttranscriptional modifications, among which the evolutionarily conserved 2’-O-methylation (2’-O-Me) occurs at more than 100 sites and is essential for ribosome biogenesis. Plasticity of 2´-O-Me in ribosomes and its functional consequences in human disease are not yet known. Here, we present the full rRNA 2’-O-Me landscape (ribomethylome) of human acute myeloid leukemia (AML) through profiling 94 patient samples as well as 21 normal hematopoietic samples of 5 different lineages. While interior modification sites in functional centers are persistently fully 2’-O-methylated in human AMLs, methylation on ribosome exterior sites is unprecedentedly dynamic. Higher 2’-O-methylation on exterior dynamic sites is associated with leukemia stem cell (LSC) signatures. Forced expression of enzymatically active but not of the catalytic defect 2’-O-methyltransferase FBL induces AML stemness and accelerates leukemogenesis in patient-derived xenografts. Mechanistically, ribomethylome dynamics shifted mRNA ribosome translation preferences. High rRNA 2’-O-Me enhances translation of amino acid transporters enriched in optimal codons and subsequently increases intra-cellular amino acid levels. Methylation on a single exterior modification site affects leukemia stem cell activity. The Guanosine 1447 on the small subunit ribosomal RNA is the most variable site in primary AMLs. Gm1447 is increased in leukemia stem cell populations compared to non-leukemogenic blast cells and AML specimens with higher Gm1447 are enriched for leukemia stem cell genes. Comparison of Gm1447high and Gm1447low ribosome structure solved by cryo-electron microscopy demonstrated disassociation of LYAR from Gm1447low ribosomes. Suppression of Gm1447 alone is sufficient to suppress translation of amino acid transporters, resulting in decreased cellular amino acid levels and leukemia stem cell activity. Taken together, our data reveal the dynamic FBL-mediated rRNA 2'-O-Me landscape as a novel epitranscriptomic level of control employed by leukemic stem cells and may enable new strategies to target human AML.
2023-03-11 | PXD029527 | Pride
Project description:We performed RNA-sequencing of normal haematopoietic stem cells and progenitor populations and of Leukemic Stem Cells in CD34- Acute Myeloid Leukaemia.
2016-06-22 | E-MTAB-2672 | biostudies-arrayexpress
Project description:The branched-chain amino acid (BCAA) pathway and high levels of BCAA transaminase 1 (BCAT1) have recently been associated with aggressiveness in several cancer entities. However, the mechanistic role of BCAT1 in this process remains largely uncertain. Here, by performing high-resolution proteomic analysis of human acute myeloid leukaemia (AML) stem-cell and non-stem-cell populations, we find the BCAA pathway enriched and BCAT1 protein and transcripts overexpressed in leukaemia stem cells. We show that BCAT1, which transfers α-amino groups from BCAAs to α-ketoglutarate (αKG), is a critical regulator of intracellular αKG homeostasis. Further to its role in the tricarboxylic acid cycle, αKG is an essential cofactor for αKG-dependent dioxygenases such as Egl-9 family hypoxia inducible factor 1 (EGLN1) and the ten-eleven translocation (TET) family of DNA demethylases. Knockdown of BCAT1 in leukaemia cells caused accumulation of αKG, leading to EGLN1-mediated HIF1α protein degradation. This resulted in a growth and survival defect and abrogated leukaemia-initiating potential. By contrast, overexpression of BCAT1 in leukaemia cells decreased intracellular αKG levels and caused DNA hypermethylation through altered TET activity. AML with high levels of BCAT1 (BCAT1high) displayed a DNA hypermethylation phenotype similar to cases carrying a mutant isocitrate dehydrogenase (IDHmut), in which TET2 is inhibited by the oncometabolite 2-hydroxyglutarate11,12. High levels of BCAT1 strongly correlate with shorter overall survival in IDHWTTET2WT, but not IDHmut or TET2mutAML. Gene sets characteristic for IDHmut AML13 were enriched in samples from patients with an IDHWTTET2WTBCAT1high status. BCAT1highAML showed robust enrichment for leukaemia stem-cell signatures14,15, and paired sample analysis showed a significant increase in BCAT1 levels upon disease relapse. In summary, by limiting intracellular αKG, BCAT1 links BCAA catabolism to HIF1α stability and regulation of the epigenomic landscape, mimicking the effects of IDH mutations. Our results suggest the BCAA–BCAT1–αKG pathway as a therapeutic target to compromise leukaemia stem-cell function in patients with IDHWTTET2WT AML.
2020-02-21 | PXD008307 | Pride
Project description:Acute myeloid leukemia (AML) is a molecularly complex disease characterized by heterogeneous tumor genetic profiles and involving numerous pathogenic mechanisms and pathways. Integration of molecular data types across multiple patient cohorts may advance current genetic approaches for improved sub-classification and understanding of the biology of the disease. Here we analyzed genome-wide DNA methylation in 649 AML patients using Illumina arrays and identified a configuration of 13 subtypes (termed ‘epitypes’) using unbiased clustering. Integration of genetic data revealed that most epitypes were associated with a certain recurrent mutation (or combination) in a majority of patients, yet other epitypes were largely independent. Epitypes demonstrated developmental blockage at discrete stages of myeloid differentiation, revealing epitypes that retain arrested hematopoietic stem cell-like phenotypes. Detailed analyses of DNA methylation patterns identified unique patterns of aberrant hyper- and hypomethylation among epitypes, with variable involvement of transcription factors influencing promoter, enhancer and repressed regions. Patients in epitypes with stem cell-like methylation features showed inferior overall survival along with upregulated stem cell gene expression signatures. We further identified a DNA methylation signature involving STAT motifs associated with FLT3-ITD mutations. Finally, DNA methylation signatures were remarkably stable at relapse for the large majority of patients, and rare epitype switching accompanied loss of the dominant epitype mutations and reversion to stem cell-like methylation patterns. These results demonstrate that DNA methylation-based classification integrates important molecular features of AML to reveal the diverse pathogenic and biological aspects of the disease.
2021-03-09 | GSE159907 | GEO
Project description:Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation. Analysis of gene expression in FACS sorted AML fractions that were functionally determined to be enriched for LSC or not (25 and 29 respectively).
2011-08-27 | E-GEOD-30375 | biostudies-arrayexpress
Project description:This RNA-seq is a part of the paper describing the role of PIN5 in generating auxin sinks. https://www.biorxiv.org/content/10.1101/2024.01.24.576992v1
2024-03-31 | GSE260945 | GEO
Project description:Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions. Keywords: cell differentiation Gene expression data from 20 experiments for 8 different cell types of the human myelopoietic lineage were used to generate an integrated myelopoiesis dataset.
2008-12-10 | E-GEOD-12803 | biostudies-arrayexpress
Project description:Mass spectrometry results from TurboID experiments using constructs expressing TurboID only, NPM1wt-Turbo ID (N- and C-terminal fusions) and NPMc-Turbo ID fusions (N- and C-terminal fusions) transduced in primary mouse hematopoietic stem/progenitor cells from lineage-depleted mouse bone marrow.
2022-03-09 | MSV000089028 | MassIVE