GEO series

Exosome-transmitted RVT1 from reactive astrocytes promotes recurrence glioblastoma proliferation

GSE115459 Homo sapiens (human) Non-coding RNA profiling 9 samples Submitted 2018/06/08 Platform GPL18109

At a glance

Non-coding RNA profiling · human · 9 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Homo sapiens (human)
Topic: GlioblastomaThis series is part of our curated briefing on it.
Samples: 9 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Glioblastoma (GBM) remains among the most lethal brain tumors despite improvements in treatment. Surgical resection is a universal component of glioma therapy. However, the mechanism underlying postoperative recurrence remains a challenge due to limited information regarding the changes that occur in the postoperative microenvironment.

Read the full summary ↓

Here, we show that a subtype of proinflammatory reactive astrocytes designated is induced by inflammatory cytokines or injury. We show that reactive astrocytes can secrete the long noncoding RNA (lncRNA) LOC646762 to promotes recurrence glioblastoma proliferation in an exosome-dependent manner.We firstly named this reactive astrocyte associated lnRNA as “lnc-RVT1”.

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 (GSE115459_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 ↓

Also filed as BioProject PRJNA475107. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 9 more — browse all 9 samples with per-sample file links →

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