Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA224702 | ENA |
REPOSITORIES: ENA
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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
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
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
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.
2013-08-23 | GSE40325 | GEO
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
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
Project description:Bone is the most frequent site of metastasis in prostate cancer (PCa) and patients with bone metastases are deemed incurable. Targeting prostate cancer cells that disseminated to the bone marrow (BM) prior to surgery and before metastatic outgrowth may therefore prevent lethal metastasis. This prompted us to directly analyse the transcriptome of disseminated cancer cells (DCC) isolated from non-metastatic (UICC stage M0) prostate cancer patients. We screened 105 BM samples of M0-stage prostate cancer patients and 18 BM samples of patients without malignancy for the presence of EpCAM+ single cells. In total we isolated 270 cells from both groups by micromanipulation and globally amplified their mRNA. We used targeted transcriptional profiling to unambiguously identify DCCs for subsequent in-depth analysis. Transcriptomes of all cells were examined for the expression of EPCAM, KRT8, KRT18, KRT19, KRT14, KRT6a, KRT5, KLK3 (PSA), MAGEA2, MAGEA4, PTPRC (CD45), CD33, CD34, CD19, GYPC, SCL4A1 (band 3), and HBA2. Using these transcripts we found it impossible to reliably identify true DCCs. We then applied combined genome and transcriptome analysis of single cells and found that EpCAM+ cells from controls expressed transcripts thought to be epithelial-specific, while true DCCs may express haematopoietic transcripts. These results point to an unexpected plasticity of epithelial cancer cells in bone marrow and question common transcriptional criteria to identify DCCs. Array-CGH was used to analyze EpCAM-positive single cells isolated from bone marrow of M0-stage prostate cancer patients, and individuals without cancer. The purpose was to demonstrate that cells with genomic aberrations are true tumour cells.
2014-10-20 | E-GEOD-59631 | biostudies-arrayexpress
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
Project description:The survival of isolated metastatic cells and expansion into macroscopic tumour has been recognized as a limiting step for metastasis formation in several cancer types yet the determinants of this process remain largely uncharacterized. In colorectal cancer (CRC), we identify a transcriptional programme in tumour-associated stromal cells, which is intimately linked to a high risk of developing recurrent disease after therapy. A large proportion of CRCs display mutational inactivation of the TGF-beta pathway but paradoxically they are characterized by high TGF-beta production. In these tumours, TGF-beta instructs a transcriptional programme in stromal cells, which confers a high risk of developing metastatic disease. We purified by FACS [CD45(+),Epcam(-)], [CD45(-) Epcam(+)] and [CD45(-) Epcam(-)] cell populations from fresh CRC samples and assessed their gene expression profiles
2013-01-17 | GSE39395 | GEO
Project description:Bone is the most frequent site of metastasis in prostate cancer (PCa) and patients with bone metastases are deemed incurable. Targeting prostate cancer cells that disseminated to the bone marrow (BM) prior to surgery and before metastatic outgrowth may therefore prevent lethal metastasis. This prompted us to directly analyse the transcriptome of disseminated cancer cells (DCC) isolated from non-metastatic (UICC stage M0) prostate cancer patients. We screened 105 BM samples of M0-stage prostate cancer patients and 18 BM samples of patients without malignancy for the presence of EpCAM+ single cells. In total we isolated 270 cells from both groups by micromanipulation and globally amplified their mRNA. We used targeted transcriptional profiling to unambiguously identify DCCs for subsequent in-depth analysis. Transcriptomes of all cells were examined for the expression of EPCAM, KRT8, KRT18, KRT19, KRT14, KRT6a, KRT5, KLK3 (PSA), MAGEA2, MAGEA4, PTPRC (CD45), CD33, CD34, CD19, GYPC, SCL4A1 (band 3), and HBA2. Using these transcripts we found it impossible to reliably identify true DCCs. We then applied combined genome and transcriptome analysis of single cells and found that EpCAM+ cells from controls expressed transcripts thought to be epithelial-specific, while true DCCs may express haematopoietic transcripts. These results point to an unexpected plasticity of epithelial cancer cells in bone marrow and question common transcriptional criteria to identify DCCs.
2014-10-20 | GSE59631 | GEO