ABSTRACT: Transcriptome analysis of mononuclear cells derived from bone marrow of pediatric patients with acute myeloid leucosis, acute lymphoid leucosis and from heathy donors peripheral blood
Project description:The aim of this research was to explore activation/deactivation of signaling pathways in mononuclear cells from pediatric patients with acute myeloid leucosis and acute lymphoid leucosis. Mononuclear cells were separated shortly after bone marrow samples collection. Cells were obtained by a density gradient centrifugation method using Ficoll. Cells were dissolved in RNALater solution, aliquoted and stored at -20°C till RNA extraction and microarray hybridisation.
Project description:The aim of this research was to explore activation/deactivation of signaling pathways in mononuclear cells from pediatric patients with acute myeloid leucosis and acute lymphoid leucosis. Mononuclear cells were separated shortly after bone marrow or blood samples collection. Cells were obtained by a density gradient centrifugation method using Ficoll. Cells were dissolved in RNALater solution, aliquoted and stored at -20°C till RNA extraction and microarray hybridisation.
Project description:Single-cell RNA sequencing was performed on bone marrow mononuclear of a patient with acute myeloid leukemia with erythroid differentiation of the blasts and on peripheral blood mononuclear cells of a patient with acute myeloid leukemia with megakaryocytic differentiation of the blasts. Raw data for this dataset can be found at the EGA under accession EGAS00001006819.
Project description:Expression profiles of acute myeloid leukemia patient samples. Blasts and mononuclear cells were purified from bone marrow or peripheral blood aspirates of acute myeloid patients. Samples contained 80-100 percent blast cells. Total RNA was extracted by lyses with guanidium isothiocyanate followed by cesium chloride gradient purification
Project description:Antibody-based therapy for cancer is now one of the most successful and important strategies for treating patients with hematological malignancies. However, the lack of efficient tumor-associated antigens restricts the targeting therapy of myeloid leukemia. Analysis of the gene expression proï¬les of primary bone marrow samples from human acute myeloid leukemia (AML) patients or healthy donors was to identify and expand novel targets for the treatment of myeloid leukemias. we found that epithelial cell adhesion molecule (EpCAM) is overexpressed in patients with AML. we analyzed the gene expression proï¬les of bone marrow mononuclear cells from 2 human acute myeloid leukemia (AML) patients and 2 healthy donors using an oligonucleotide microarray, to identify up-regulated genes in AML samples comparing with healthy tissues.
Project description:Expression profiles of acute myeloid leukemia patient samples. Blasts and mononuclear cells were purified from bone marrow or peripheral blood aspirates of acute myeloid patients. Samples contained 80-100 percent blast cells. Total RNA was extracted by lyses with guanidium isothiocyanate followed by cesium chloride gradient purification Keywords: other
Project description:The aim of this research was to explore activation/deactivation of signaling pathways in mononuclear cells from pediatric patients with acute myeloid leucosis and acute lymphoid leucosis.
Project description:The aim of this research was to explore activation/deactivation of signaling pathways in mononuclear cells from pediatric patients with acute myeloid leucosis and acute lymphoid leucosis.
Project description:Gene expression of patient samples with acute myeloid leukemia (AML) were compared to normal controls to study dysregulated signalling pathways. Peripheral blood mononuclear cells (PBMCs) from primary AML patient samples were isolated using the Ficoll-Paque gradient separation method. RNA from CD34+ bone marrow cells of healthy donors were purchased from AllCells LLC (Alameda, CA; catalog number RNA-BM003C). Total RNA were harvested from patient samples using Trizol and subjected to microarray-based gene expression analysis.
