IlAcaAtra
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB96691 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Fulica atra (Eurasian coot), genomic and transcriptomic data
| PRJEB73903 | ENA
Project description:Combination of new therapeutics with trans-retinoic acid (ATRA) could improve efficiency of acute myeloid leukemia (AML) treatment. Modeling the process of ATRA-induced differentiation based on transcriptomic profile of leukemic cells allows us to identify key molecules that could be affected to enhance the therapeutic effect of ATRA. Moreover, transcriptome analysis reveals the earliest steps of molecular response to inducer treatment. Thus, the transcriptomic profile of leukemic cells under the ATRA treatment at the different time points is considered as input data for further upstream regulator search.
2024-10-17 | E-MTAB-13723 | biostudies-arrayexpress
Project description:Using our computational method SynGeNet to evaluate genomic and transcriptomic data characterizing four major genomic subtypes of melanoma, we selected the top ranked drug combination for BRAF-mutation melanoma for subsequent validaiton. Here we present drug-induced gene expression data from the BRAF-mutant A375 melanoma cell line in response to four treatment conditions: vehicle control (DMSO), vemurafenib alone, tretinoin (ATRA) alone and vemurafenib+tretinoin combination.
2018-07-01 | GSE109731 | GEO
Project description:These ChIP-seq data were generated to correlate with genomic interaction data in a related Hi-C analysis.The goal of ChIP-seq are to annotate active promoter and enhancer of ATRA treated and control HL-60 cells. After ATRA induction, H3K27ac peaks distal to gene promoters showed significant changes. Those changes were correlated with interaction intensity between promoters and enhancers.
2018-03-07 | GSE93994 | GEO
Project description:All-trans-retinoic acid (ATRA) has been successfully used in therapy of acute promyelocytic leukemia (APL), a cytogenetically distinct subtype of acute myeloid leukemia (AML) but the response of non-APL AML cases to ATRA-based treatment has been poor. Here we show that, via epigenetic reprogramming, inhibitors of LSD1/KDM1 demethylase including tranylcypromine (TCP) unlocked the ATRA-driven therapeutic response in non-APL AML. LSD1 inhibition did not lead to an increase in genome-wide H3 lysine4 dimethylation (H3K4me2) but did increase H3K4me2 and expression of myeloid differentiation-associated genes. Importantly, treatment with ATRA plus TCP dramatically diminished engraftment of primary human AML cells in vivo in NOD.SCID mice, suggesting that ATRA in combination with TCP may target leukemia-initiating cells. Furthermore, initiation of ATRA plus TCP co-treatment 15 days post-engraftment of human AML cells in NOD.SCID gamma mice also revealed the ATRA plus TCP drug combination to have a potent anti-leukemic effect, which was superior to treatment with either drug alone. These data identify LSD1 as a therapeutic target and strongly suggest that it may contribute to AML pathogenesis by inhibiting the normal pro-differentiative function of ATRA, paving the way for novel combinatorial therapies of AML. ChIP-seq was used to study the effects of ATRA, TCP and ATRA/TCP treatment on H3K4 dimethylation. In addition to the three treatment samples, two reference samples were processed: (i) An untreated sample using the same anti-H3K4me2 antibody and an untreated sample using IgG. These five sequencing experiments were conducted using HL-60 cells and TEX cells, leading to 10 ChIP-seq samples in total.
2012-03-14 | E-GEOD-34725 | biostudies-arrayexpress
Project description:This experiment aims at understanding the main transcriptomic basals differences between Pml+/+ and Pml-/- APL blasts and during ATRA+ATO treatment. Mice were transplanted were Pml+/+ or Pml-/- blasts. Once sick, mice were treated with 12 hours of ATRA+ATO therapy (ATRA: subcutaneous diffusion, ATO: intraperitoneal injection). After treatment, bone marrow cells were harvested and blasts were sorted (GFP blasts used). After sorting, cells were frozen at -80°C (in RNA lysis buffer). Then, RNA was extracted with the Qiagen RNeasy Minikit. Samples were then hybridized on MTA 1.0 chips.
2025-01-01 | E-MTAB-13392 | biostudies-arrayexpress
Project description:These RNA-seq data were generated to correlate with genomic interaction data in a related Hi-C analysis. Analysis revealed differential expressed genes in ATRA treated and control HL-60 cells. Changes of gene expression with topological associated domains (TADs) were showd to be correlated with chromatin structure alteration
2018-03-07 | GSE93996 | GEO
Project description:Retinoids, derivatives of vitamin A, are key physiological molecules with regulatory effects on cell differentiation, proliferation and apoptosis. As a result, they are of interest for cancer therapy. Specifically, models of breast cancer have varied responses to manipulations of the retinoid signaling cascade. This study characterizes the transcriptional response of MDA-MB-231 and MDA-MB-468 breast cancer cells to retinaldehyde dehydrogenase 1A3 (ALDH1A3) and to all-trans retinoic acid (atRA). We demonstrate limited overlap between ALDH1A3-induced gene expression and atRA-induced gene expression in both cell lines, suggesting that the function of ALDH1A3 in breast cancer progression extends beyond its role as a retinaldehyde dehydrogenase. Our data reveals divergent transcriptional responses to atRA, which are largely independent of genomic retinoic acid response elements (RAREs) and consistent with the opposing responses of MDA-MB-231 and MDA-MB-468 to in vivo atRA treatment. We identify transcription factors associated with each gene set. Manipulation of one of the transcription factors (i.e. interferon regulatory factor 1; IRF1) demonstrates that it is the level of atRA-inducible and epigenetically regulated transcription factors that determine expression of target genes (e.g. CTSS, cathepsin S). This study provides a paradigm for complex, combinatorial responses of breast cancer models to atRA treatment, and illustrates the need to characterize RARE-independent responses to atRA in a variety of models.
2017-11-06 | GSE103425 | GEO