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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

SUBMITTER: Hiroshi Takeyama

PROVIDER: E-GEOD-51716 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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

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

microRNA expression profiles in bone marrow fractions from gastric cancer patients

2013-08-23 | GSE40325 | GEO

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

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. Total RNA was isolated from ex-vivo isolated human mTEC subsets using μMACS™ SuperAmp™ protocol (Miltenyi Biotec)

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

Homo sapiens

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

| PRJNA224702 | ENA

Cell type-specific requirements for iPSC reprogramming

Project description:The differentiated state of somatic cells provides barriers for the efficient derivation of induced pluripotent stem cells (iPSCs). To address why some cell types reprogram more readily than others, we studied the effect of combined modulation of cellular signaling pathways. This revealed that inhibition of TGFβ together with activation of Wnt signaling in presence of ascorbic acid allows >80% of murine fibroblasts to acquire pluripotency after one week of reprogramming factor expression. In contrast, hepatic progenitors and blood progenitors predominantly required only TGFβ inhibition or canonical Wnt activation, respectively, to reprogram at efficiencies approaching 100%. Strikingly, blood progenitors reactivated endogenous pluripotency loci in a highly synchronous manner. We further demonstrate that expression of specific chromatin-modifying enzymes and reduced TGFβ/MAP kinase activity are intrinsic properties associated with the unique reprogramming response of these cells. Together, our observations define novel cell type-specific requirements for the rapid and synchronous reprogramming of somatic cells. For the study of reprogramming intermediates, cultures of reprogrammable MEFs at day 4 in presence of dox and compounds were harvested and stained with biotinylated anti-SSEA1 antibody (MC-480, eBioscience), followed by APC-conjugated Streptavidin and then anti-APC microbeads (Milteny Biotec) and enrichment using MACS separation columns (Milteny Biotec) according to manufacturer’s instructions. Total RNA extracted from SSEA1+ cells (>90% purity) with the RNeasy mini kit (QIAGEN) with a RIN value > 8 was subjected to transcriptional analyses with Affymetrix mouse genome 430 2.0 mRNA expression microarrays followed by bioinformatic analyses.

2014-09-11 | E-GEOD-59865 | biostudies-arrayexpress

Comparison of the DNA methylation profiles of CD14+ monocytes from human peripheral blood with DCs and MACs obtained by exposure with GM-CSF/IL-4 and GM-CSF, respectively, and with mature DCs and MACs after LPS exposure

Project description:Comparison of the DNA methylation profiles of CD14+ monocytes from human peripheral blood with derived dendritic cells (DCs) and macrophages (MACs) obtained by exposure with GM-CSF/IL-4 and GM-CSF, respectively, and with mature DCs and MACs after lipopolysaccharide (LPS) exposure The methylation profiles of bisulfite-modified DNA of human CD14+ monocytes were compared with derived immature dendritic cells (iDCs) and macrophages (iMACs) following GM-CSF/IL-4 and GM-CSF incubation, and then activation/maturation with lypopolysaccharyde (LPS) using the Infinium HumanMethylation450 BeadChips (Illumina, Inc., San Diego, CA,). This platform allows the interrogation of >485,000 methylation sites per sample at single-nucleotide resolution, and comprises an average of 17 CpG sites per gene in the 99% of RefSeq genes. 96% of CpG islands are covered, with additional coverage in CpG island shores and the regions flanking them. The samples were hybridized in the array following the manufacturerâs instructions. Total DNA isolated by standard procedures from CD14+ cells (total monocytes, MOs) corresponding to three sets of samples of monocytes (MOs), derived immature DCs and MACs (iDCS and iMACS) and activated/mature DCs and MACs following incubation with LPS (mDCS and mMACs)

2015-12-11 | E-GEOD-71837 | biostudies-arrayexpress

Selective inhibition of Homo sapiens M1 macrophages where SP140 mRNA is inhibited using siRNA

Project description:As part of our study in understanding the role of SP140 in inflammatory pathways in macrophages, we inhibited SP140 mRNA using siRNA. Peripheral blood mononuclear cells (PBMCs) were obtained from whole blood of healthy donors (from Sanquin Institute Amsterdam or from GSK Stevenage Blood Donation Unit) by Ficoll density gradient (Invitrogen). CD14+ monocytes were positively selected from PBMCs using CD14 Microbeads according to the manufacturer’s instructions (Miltenyi Biotec). CD14+ cells were differentiated with 20 ng/mL of macrophage colony-stimulating factor (M-CSF) (R&D systems) for 3 days followed by 3 days of polarization into classically activated (inflammatory) M1 macrophages (100 ng/mL IFN-γ; R&D systems). M1 macrophages were transfected with siGENOME human smartpool SP140 siRNA or non-targeting scrambled siRNA for 48h with DharmaFECT™ transfection reagents according to manufacturer’s protocol (Dharmacon). The cells were left unstimulated or stimulated with 100 ng/mL LPS (E. coli 0111:B4; Sigma) for 4h (for qPCR) or 24h (for Elisa). The cells were lysed (ISOLATE II RNA Lysis Buffer RLY-Bioline) for RNA extraction.150 ng total RNA was labelled using the cRNA labelling kit for Illumina BeadArrays (Ambion) and hybridized with Ref8v3 BeadArrays (Illumina). Arrays were scanned on a BeadArray 500GX scanner and data were normalized using quantile normalization with background subtraction (GenomeStudio software; Illumina). This submission only contains processed data

2022-07-22 | E-MTAB-12011 | biostudies-arrayexpress

Time-course experiment

Project description:Buffy coat blood samples from 4 healthy donors were obtained from the Australian Red Cross Blood Service. The peripheral blood mononuclear cells were then extracted using a Ficoll Paque gradient. CD14 positive monocytes were then extracted using MACS (Miltenyi Biotec) magnetically labeled anti-CD14 antibodies. CD14 positive monocytes were then plated into 10cm petri dishes at a concentration of 1.5x107 cells per plate and differentiated into macrophages by addition of recombinant human CSF-1. Cells were treated with lipopolysaccharide (final conc. 10ng/ml in RPMI 1640 medium) for 2 or 6 hours and an untreated control had RPMI 1640 added only.<br><br>RNA was extracted using QIAGEN RNeasy columns as per the manufacturerM-^Rs protocol and analyzed by Nandrop and Bioanalyzer. RNA was further quality controlled with quantitative real-time PCR for known genes (TLR2, IL6 and IFNb). Samples that had the same expression pattern were then pooled from 4 individuals into 2 pools of two individuals. RNA was sent on dry ice to the Ramaciotti Centre for Gene Function Analysis, Sydney, Australia for processing and hybridization to Affymetrix Human Exon Arrays 1.0 as per the manufactererM-^Rs instructions. A ribo-minus step was included in the protocol. Resulting .CEL files were labeled AB01, AB02, AB03, AB04, AB05 and AB06. AB01 and 04 are the pooled untreated (0hour) time-points. AB02 and 05 are the samples treated for 2 hours, AB03 and 06 are samples treated for 6 hours.<br><br>

2011-02-02 | E-MEXP-2577 | biostudies-arrayexpress

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