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 Keywords: other
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: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.
Project description:We collected peripheral blood from leukemia patients at different stages, including those newly diagnosed as untreated, as well as those in remission on therapy, with a subset of samples including peripheral blood and bone marrow samples. First, mononuclear cells were isolated from the collected peripheral blood, followed by single-cell RNA sequencing and follow-up sequencing results for subgroup classification, focusing on changes such as glycolipid metabolism of B cells as well as T cells. The aim of this project was to explore the changes in metabolic remodeling in leukemia patients with the aid of single-cell technology to provide assistance in the diagnosis and treatment of the disease.
Project description:Proteome characterization of isolated mitochondria samples prepared from three commonly used acute leukemia cell lines (HL-60, KG-1, MV-4-11). Data were compared to isolated mitochondria prepared from peripheral blood mononuclear cells (PBMC), isolated from healthy human subjects.
Project description:We performed single cell RNA sequencing to ensure that the engrafted MF cells in NSGS mice retained the molecular properties of the patients cells. ScRNAseq profiles from peripheral blood mononuclear cells (PBMCs) from two independent cord blood and MF patient samples were compared to the engrafted hCD45+ cells from the bone marrow of NSGS mice at 12-weeks post-transplant.
Project description:We used single cell RNA sequencing to profile the immune cell repertoire of tumor tissue, peripheral blood mononuclear cells (PBMC), bone marrow mononuclear cells (BMMC) from distal bone and cranial (skull) bone from human treatment-naive glioblastoma patients. For comparison, we obtained and analyzed control samples (cranial bone and PBMC) from human non-malignant intracranial disease.
Project description:In this strudy, we seek out new chimeric RNA in RNA-seq data from acute myeloid leukemia (AML) patient cells as new biomarkers to improve diagnosis and prognosis in cancer. Total RNA were extracted from bone marrow or peripheral blood mononuclear cells in three AML patients. polyA+ cDNAs were sequenced to generate stranded paired-end reads. RNA-seq analyses were performed using Crac and CracTools software. In particular using these tools, we classified chimeric RNA in four classes, finding new chimeric RNAs. By analysis a larger cohort by qPCR, we were able to define new chimeric RNA as new biomarkers in AML patients.
Project description:This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2. This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2. AML cell lines and patient samples, B ALL cell lines and Patient samplest, T ALL cell lines and patient samples, norma B cells, normal granulocytes, normal monocytes, normal T cells and normal CD34+ cells were used for RNA extraction and hybridization on Affymetrix microarrays. All the AML, B ALL, T ALL cell lines were cultured in vitro under appropriate culture conditons and harvested in their log phase growth for RNA extraction. AML, B ALL, and T ALL patient samples were collected...(I assume these are the PBMCs from eitehr peripheral blood or bone marrow from patients, please confirm). Normal B cells, granulocytes, monocytes, and T cells were purified from human peripheral blood of normal healthy donors.
