Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

62 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

SUBMITTER: Shotaro Sakimura

PROVIDER: E-GEOD-71762 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

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

Comparison of thymic mTEC cells from MyD88fl/fl x Foxn1Cre and MyD88fl/fl mice by transcription profiling

Project description:We compared in vitro mTECs-high from MyD88fl/fl x Foxn1Cre and MyD88fl/fl mice: Thymi were enzymaticaly digested, cells were MACS enriched for CD45- fraction, and FACS sorted using BD Influx sorter. mTECs-high were gated as EpCAM+CD11c-Ly51-MHCII+CD80+. Total RNA was isolated using RNeasy Plus Micro Kit (Qiagen). 5 samples per condition were used.

2020-03-20 | E-MTAB-8024 | biostudies-arrayexpress

RNAseq of subcutaneous adipose tissue macrophage populations, AT-macrophages derived from 3D cultures and BM-cultured macrophages

Project description:The aim of this study was to conduct a comparative analysis between the AT-macrophages derived from 3D cultures and in vivo sc-AT macrophage populations. To this end, bulk RNA Seq analysis was performed between these two populations, and compared to BM- cultured macrophages. scAT macrophages were sorted based on CD45+, F4/80+ and CD11b+. AT-macrophages derived from 3D cultures and BM- cultured macrophages were harvested after 13 days in culture.

2024-06-24 | E-MTAB-14120 | biostudies-arrayexpress

Transcription profiling by sequencing of murine MyD88 -/- and MyD88 +/+ mTECs stimulated with a TLR9 ligand

Project description:We compared in vitro mTECs-high stimulated with TLR9 ligand CpG ODN (1826) or non stimulated from MyD88 -/- and MyD88 +/+ mice: Thymi were enzymaticaly digested, cells were MACS enriched for CD45- fraction, and FACS sorted using BD Influx sorter. mTECs-high were gated as EpCAM+CD11c-Ly51-MHCII+CD80+. Cell from MyD88 -/- and MyD88 +/+ mice were incubated in RPMI with or without CpG ODN (1826) for 24 hours. Total RNA was isolated using RNeasy Plus Micro Kit (Qiagen). 4 samples per condition were used.

2020-03-20 | E-MTAB-8025 | biostudies-arrayexpress

RNA-seq profiling of gene expression in Ezh2-deficient and control murine lung epithelial and stromal cell populations at day E16.5

Project description:Epithelial (CD31-CD45-EpCAM+) and stromal (CD31-CD45-EpCAM-) lung cells were derived by FACS from ShhCre;Ezh2fl/fl and control ShhCre;Ezh2fl/+ mouse embryos at day E16.5 (3 biological replicates per genotype-tissue combination). Total RNA extracted from the samples was subjected to NGS library preparation using TruSeq Stranded Total RNA with Ribo-Zero (Illumina). Completed libraries from different samples were sequenced on HiSeq 2000 TruSeq with SBS Kit v3 - HS reagents (Illumina) as 100 bp single end reads at the Australian Genome Research Facility. RNA-seq gene expression profiles from Ezh2 deficient and control lung epithelial and stromal cell populations at day E16.5 (3 replicates per genotype-tissue combination).

2015-05-11 | E-GEOD-57391 | biostudies-arrayexpress

Mouse bone marrow stromal cells: before or after total body irradiation

Project description:Comprehensive gene expression analysis in BM-resident stromal cells was performed for an overview of BM environmental change caused by total body irradiation (TBI). Total RNA samples collected from BM-resident stromal cells with or without TBI were subjected to high sensitivity DNA microarray assays Three-condition experiment: Unirradiated, 1 day after TBI and 3 days after TBI. Bone marrow stromal cells were obtained from C57BL/6 mice (n = 6) either non-irradiated or after 9.5 Gy irradiation at indicated times.

2016-09-01 | E-GEOD-72235 | 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

mRNA and microRNA in spleens of miR-17~92 transgenic mice

Project description:spleen B-cells isolated from 9 mice of 6-9 months of age were profilied for mRNA expression using 3D-gene. 3 transgenic mice from two founder lines and 3 wild types as control

2013-11-05 | E-GEOD-50559 | biostudies-arrayexpress

Developmental changes in the in vitro activated regenerative activity of primitive mammary epithelial cells

Project description:Many normal adult tissues contain rare stem cells with extensive self-maintaining regenerative potential. During development, the stem cells of the hematopoietic and neural systems undergo intrinsically specified changes in their self-renewal potential. In the mouse, mammary stem cells with transplantable regenerative activity are first detectable a few days before birth. They share some phenotypic properties with their adult counterparts but are enriched in a subpopulation that displays a distinct gene expression profile. Here we show that fetal mammary epithelial cells have a greater direct and inducible growth potential than their adult counterparts. The latter feature is revealed in a novel culture system that enables large numbers of mammary stem cells with serially transplantable activity as well as in vitro clonogenic progenitors to be produced within 7 days from single fetal or adult input cells. We further show that these responses are highly dependent on novel factors produced by fibroblasts. These findings provide new avenues for elucidating mechanisms that regulate normal mammary epithelial stem cell properties at the single-cell level, how these change during development, and how their perturbation may contribute to transformation. We used microarrays to compare the transcriptome of E18.5 fetal and adult MRU-enriched mammary cells. Three biological replicates each of CD31-CD45-Ter119-BP-1-EpCAM+CD49f+ adult basal cells and CD31-CD45-Ter119-EpCAM++CD49f+ fetal cells were sorted. RNA was extracted and hybridized to the Agilent One-Color Gene Expression Arrays .

2013-08-13 | E-GEOD-46357 | biostudies-arrayexpress

The intercellular signaling network of ovarian cancer metastases

Project description:Primary cells from high grade serous ovarian carcinoma patients, derived from ascites and omentum were sequenced to study signaling networks.

2021-11-01 | E-MTAB-10611 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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