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Dynamics of intercellular and exosomal miRNAs in hypoxia-resistant RPMI8226 cells

GSE48909 Homo sapiens (human) Gene expression profiling 6 samples Submitted 2014/10/15 Platform GPL13987
At a glance

Gene expression profiling · human · 6 samples

What it is
Gene expression profilingGene activity measured per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
6 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
In multiple myeloma (MM), abnormal plasma cells interact with bone marrow (BM) stromal cells and vascular cells among others. A part of the BM milieu is considered highly hypoxic, and myeloma cells in situ may be influenced by circumstances other than normoxia in vitro. Hence, we attempted to confirm the role of hypoxic MM-derived exosomes in the BM milieu.
Read the full summary ↓
We established a novel hypoxia-resistant cell line, RPMI8226HR, derived from RPMI8226 cells cultured for >4 months under hypoxia (1% O2), as a model of MM cells localizing in an extensively hypoxic milieu. We used RPMI8226 cells and RPMI8226HR cells, as donor cells, and HUVECs as recipient cells. Exosomes derived from RPMI8226 cells (normoxia or hypoxia) and exosomes derived from RPMI8226HR cells (hypoxia-resistant sub-line) were used for validation of angiogeneic activity, such as tube formation assay. Exosomes derived from the RPMI8226HR cells significantly increased tube formation of HUVECs than those from RPMI8226 cells. To identify intercellular and exosomal miRNAs specifically expressed in hypoxia-resistant cells, we assess the expression profiles of intercellular and extracellular miRNAs in RPMI8226 cells and RPMI8226HR cells using Taqman MicroRNA Array v2.0 (Applied Biosystems, Bedford, MA).
This dataset
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Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE48909_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA212526. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25320245) ↗
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