Project description:Transcription profiling by array of human CD34+ cells from bone marrow of patients with mucosa-associated lymphoid tissue (MLAT) lymphoma and control CD34+ cells from healthy individuals
Project description:miRNA expression in a patient with AML comparing with pooled CD34 hematopoietic progenitor cells from 5 healthy volunteers RNA from bone marrow of a patient with AML with more than 90% blast and RNA pooled from 5 volunteers with CD34+ cells selected by automacs from bone marrow
Project description:RNA-seq of bone marrow CD34+ cells from myelodysplastic syndrome patients with and without SF3B1 mutation and from healthy controls
Project description:Acute myeloid leukemia (AML) is a hematopoietic malignancy with a dismal outcome in the majority of cases. A detailed understanding of the genetic alterations and gene expression changes that contribute to its pathogenesis is important to improve prognostication, disease monitoring, and therapy. The expression of 636 human miRNAs was compared between samples from 52 patients with AML and 13 healthy individuals by locked nucleic acid (LNA) based microarray technology. 143 miRNAs were expressed at detectable levels, and 64 of these were significantly differentially expressed between AML and healthy peripheral blood, bone marrow, and/or CD34+ cells. Reference: A Rommer et al, Overexpression of primary microRNA 221/222 in acute myeloid leukemia, BMC Cancer, 2013. 52 AML, 5 peripheral blood (PB), 5 bone marrow (BM), and 3 CD34+ cell samples from healthy donors were subjected to miRNA microarray analysis.
Project description:Label-free quantitation dataset from 44 representative Acute Myeloid Leukemia (AML) patients from the LAML TCGA dataset, and 6 healthy bone marrow derived controls including 3 lineage-depleted and 3 CD34+ selected bone marrows.
Project description:A deep-scale proteome and phosphoproteome database from 44 representative Acute Myeloid Leukemia (AML) patients from the LAML TCGA dataset, and 6 healthy bone marrow derived controls including 3 lineage-depleted and 3 CD34+ selected bone marrows.
Project description:This data was used to identify miRNA signatures that can be used to calssify specific leukemia types including AML, precursor B ALL, precursor T ALL, and normal hematopoietic progenitor and mature populations This data was used to identify miRNA signatures that can be used to calssify specific leukemia types including AML, precursor B ALL, precursor T ALL, and normal hematopoietic progenitor and mature populations 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.
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:mRNA samples from bone marrow CD34+ cells (HSC) from healthy donors after co-culture assays (Control condition, with hMSCs and CD34+ cells from healthy donors; and AML condition, with hMSCs-AML and CD34+ cells from donors) were amplified, labeled and hybridized to the ClariomTM S Array human (Thermo Scientific, USA). Normalization and analysis of microarray data was performed using the Transcriptome Analysis Console (TAC) software (Affymetrix, USA).
Project description:The study investigated the abberrent DNA methylation in correlation with gene expression in cytogenetic normal acute myeloid leukemia. CN-AML blasts isolated from patient bone marrow aspriation were compared to CD34+ cell population from healthy donors by DNA methylation array and affymetrix gene expression microarray.
