Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MicroRNA expression profiles in bone marrow fractions from gastric cancer patients

ABSTRACT: Both disseminated tumor cells and noncancerous host cells contributed to cancer progression cooperatively in bone marrow. Bone marrow samples were obtained from 4 gastric cancer patients, and were separated into 3 fractions (CD45 positive, CD45 negative/EpCAM positive, and CD14 positive fractions) by the automagnetic-activated cell separation (AutoMACS) system using CD45, EpCAM, and CD14 microbeads (Miltenyi Biotec, Germany). microRNA expression profiles in each fractions were evaluated in order to identify candidate prognostic markers for gastric cancer patients.

ORGANISM(S): Merkel cell polyomavirus Mus musculus Rattus norvegicus Human gammaherpesvirus 8 JC polyomavirus Betapolyomavirus macacae Homo sapiens Murid gammaherpesvirus 4 Human immunodeficiency virus 1 Human betaherpesvirus 5 Human alphaherpesvirus 2 Human alphaherpesvirus 1 Betapolyomavirus hominis human gammaherpesvirus 4 Mus musculus cytomegalovirus 2 Murid betaherpesvirus 1

PROVIDER: GSE40325 | GEO | 2013/08/23

SECONDARY ACCESSION(S): PRJNA173541

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

microRNA expression profiles in bone marrow fractions from gastric cancer patients

Project description:Both disseminated tumor cells and noncancerous host cells contributed to cancer progression cooperatively in bone marrow. Bone marrow samples were obtained from 4 gastric cancer patients, and were separated into 3 fractions (CD45 positive, CD45 negative/EpCAM positive, and CD14 positive fractions) by the automagnetic-activated cell separation (AutoMACS) system using CD45, EpCAM, and CD14 microbeads (Miltenyi Biotec, Germany). microRNA expression profiles in each fractions were evaluated in order to identify candidate prognostic markers for gastric cancer patients. In 4 patients with gastric cancer, bone marrow samples (40 mL) were obtained from iliac bones. Nucleated cells were collected by gradient centrifugation using Ficoll-Paque PREMIUM (GE Healthcare Life Science, USA) and Leucosep (Greiner Bio-One, Germany) according to the manufacturer’s instructions. Next, we separated bone marrow cells into 3 fractions using MACS: CD45 positive (CD45+), CD45 negative/EpCAM positive (CD45-/EpCAM+), and CD14 positive (CD14+). microRNA expression levels of whole bone marrow cells and each fractions were measured by the miRCURY™ LNA array microarray (6th gen-hsa, mmu & rno#208402, Exiqon, Vedbaek, Denmark). The miRCURY™ LNA array microarray slides were scanned using the Agilent G2505C Microarray Scanner System (Agilent Technologies, Inc., USA) and the data analysis was carried out using the Feature Extraction 10.7.3.1 (Agilent Technologies, Inc., USA).

2013-08-23 | E-GEOD-40325 | biostudies-arrayexpress

MicroRNA expression signatures of CD14-CD45-EpCAM+ cells in human bone marrow for colorectal cancer liver metastasis

Project description:To further development of our gene expression approach to biodosimetry, we have employed microRNA microarray expression profiling to identify genes with the potential to distinguish liver metastasis related microRNA. Colorectal cancer patients were administered anesthesia and 20 mL BM was taken from the right and left anterior iliac crests before surgery. Mononucleated cells were collected using a standard Ficoll-Hypaque gradient technique. To enrich for EpCAM+ cells, CD14+ cells were removed from the whole bone marrow using auto MACSTM pro (Milteny Biotec, Bergisch Gladbach, Germany) with anti-CD14 immunomagnetic beads (clone; TÜK4, Milteny Biotec). Next, CD45+ cells were removed by treatment with anti-CD45 immunomagnetic beads (clone; 5B1; Milteny Biotec). The residual CD14−CD45− cells were then incubated with FcR blocking reagent (Milteny Biotec), followed by incubation with anti-EpCAM immunomagnetic beads (clone; HEA-125, Milteny Biotec), and the CD14−CD45−EpCAM+ cells were taken up. Total RNA of these cells we analyzed the microRNA levels of CD14−CD45−EpCAM+ cells obtained from non-metastasis patients (n = 12) and liver metastasis patients (n = 7). Ten-microRNA consensus signature was identified that distinguished between CD14−CD45−EpCAM+ cells from liver metastasis patients and CD14−CD45−EpCAM+ cells from non-liver metastasis patients.

2013-11-11 | GSE51716 | GEO

MicroRNA expression signatures of CD14-CD45-EpCAM+ cells in human bone marrow for colorectal cancer liver metastasis

Project description:To further development of our gene expression approach to biodosimetry, we have employed microRNA microarray expression profiling to identify genes with the potential to distinguish liver metastasis related microRNA. Colorectal cancer patients were administered anesthesia and 20 mL BM was taken from the right and left anterior iliac crests before surgery. Mononucleated cells were collected using a standard Ficoll-Hypaque gradient technique. To enrich for EpCAM+ cells, CD14+ cells were removed from the whole bone marrow using auto MACSTM pro (Milteny Biotec, Bergisch Gladbach, Germany) with anti-CD14 immunomagnetic beads (clone; TÜK4, Milteny Biotec). Next, CD45+ cells were removed by treatment with anti-CD45 immunomagnetic beads (clone; 5B1; Milteny Biotec). The residual CD14?CD45? cells were then incubated with FcR blocking reagent (Milteny Biotec), followed by incubation with anti-EpCAM immunomagnetic beads (clone; HEA-125, Milteny Biotec), and the CD14?CD45?EpCAM+ cells were taken up. Total RNA of these cells we analyzed the microRNA levels of CD14?CD45?EpCAM+ cells obtained from non-metastasis patients (n = 12) and liver metastasis patients (n = 7). Ten-microRNA consensus signature was identified that distinguished between CD14?CD45?EpCAM+ cells from liver metastasis patients and CD14?CD45?EpCAM+ cells from non-liver metastasis patients. MicroRNA expression of CD14-CD45-EpCAM+ cells in human bone marrow was measured. RNA of these cells we analyzed the microRNA levels of CD14?CD45?EpCAM+ cells obtained from non-metastasis patients (n = 12) and liver metastasis patients (n = 7).

2013-11-11 | E-GEOD-51716 | biostudies-arrayexpress

Promiscuous gene expression in human medullary thymic epithelial cell subsets

Project description:Different human mTEC subsets (MUC1, CEACAM5 and SGLT1) were purified by sequential enzymatic digestion (collagenase/dispase, trypsin) followed by enrichment using magnetic beads (CD45 beads, Miltenyi Biotech) and FACS sorting. Cells of the surface phenotype CD45-, CDR2-, EpCAM+ were further subdivided into MUC1+/MUC1-, CEACAM5+/CEACAM5- and SGLT1+/SGLT1- fractions. RNA was isolated using μMACS™ SuperAmp™ protocol (Miltenyi Biotec) and hybridized to Illumina Whole-Genome Expression Beadchips. Gene expression of Antigen-positive and Antigen-negative mTEC subsets was compared.

2013-08-31 | GSE49625 | GEO

Promiscuous gene expression in human medullary thymic epithelial cell subsets

2013-08-31 | E-GEOD-49625 | biostudies-arrayexpress

DNA profiling of EpCAM-positive cells in bone marrow of early breast cancer (EBC) patients

Project description:Parallel DNA and RNA profiling of EpCAM-positive cells in bone marrow and primary tumor tissue with positive disseminated tumor cell (DTC) count via immunomagnetic Enrichment/Flow Cytometry (IE/FC) of metastatic breast cancer (MBC) patients confirm their malignant nature We developed a novel approach to isolate tumor cells with high purity from bone marrow which was subjected to immunomagnetic enrichment using EpCAM beads followed by fluorescence activated cell sorting (IE/FACS) to isolate EpCAM-positive cells away from leukocytes (CD45+). For DNA profiling, sorted cells were subjected to BAC array comparative genomic hybridization analysis following whole genome amplification. For RNA profiling, QPCR analysis was performed on sixty four (64) cancer-related genes using Taqman® low density arrays. For non-tumor controls, RNA profiling was performed on matched leukocytes (CD45+) isolated from the same enriched bone marrow samples.

2019-04-04 | GSE112756 | GEO

Identification of recurrence related microRNAs from bone marrow in hepatocellular carcinoma (HCC) patients

Project description:To identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression, we employed microarray-based profiling to analyze miRNA expression in the BM of patients with HCC. MicroRNA expression in the BW of HCC patients was measured by using microarray-based profiling. BM cells were separated into 3fraction by cell surface markers as follows: CD45+(macrophage), CD14-/CD45+(lymphocyte) and CD14-/CD45-/EpCAM+(epithelial cell).

2015-08-06 | E-GEOD-71762 | biostudies-arrayexpress

RNA profiling of EpCAM-positive cells in bone marrow of early breast cancer (EBC) patients

Project description:We developed a novel approach to isolate tumor cells with high purity from bone marrow which was subjected to immunomagnetic enrichment using EpCAM beads followed by fluorescence activated cell sorting (IE/FACS) to isolate EpCAM-positive cells away from leukocytes (CD45+). For RNA profiling, QPCR analysis was performed on sixty four (64) cancer-related genes using Taqman® low density arrays. For non-tumor controls, RNA profiling was performed on matched leukocytes (CD45+) isolated from the same enriched bone marrow samples from 17 of the 30 patients.

2019-04-04 | GSE112757 | GEO

Frequent derepression of the mesenchymal transcription factor gene in acute myeloid leukemia (human)

Project description:Bone marrow samples from normal adult male donors were collected into EDTA. Red cells were removed by ammonium chloride lysis. Leukocytes were washed in SM buffer and CD34+ cells were separated from CD34- cells using an AutoMACS device and anti-CD34 immunomagnetic beads (Miltenyi Biotec), according to manufacturer’s instructions. For mature cell populations, CD34- cells were FACS purified according to the following immunophenotypes, with 7-AAD used to exclude dead cells: Neutrophils: side scatter high CD15+ CD16+. Monocytes: side scatter low-intermediate CD14+ CD16- CD15-. See also Huang et al., 2014.

2015-09-17 | GSE66254 | GEO

Profiling of normal human colonic epithelial cells according to their PTK7 surface abundance

Project description:Human mucosa was collected from two different individuals undergoing colectomy. After treatment with EDTA, colonic crypts were isolated and further dis-aggregated using Dispase. Next, cells were stained using antibodies directed against the extracellular domain of EpCAM, PTK7, CD11, CD31, and CD45. Cells were analyzed and sorted via flow cytometry (BD Aria). After excluding non-epithelial cells (Epcam. CD11, CD31, and CD45 negative), the EpCAM positive fraction was divided into fractions expressing either high, medium, low, or negative levels of PTK7. Sorted cells were transferred to Trizol for RNA extraction and RNA was purified using the Qiagen RNA Mini Kit.

2016-01-12 | GSE68340 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data