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Safety and Regenerative Properties of Immortalized Human Mesenchymal Stromal Cell Secretome

GSE306748 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2025/08/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
10 samples: 5 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
The secretome of mesenchymal stromal cells (MSCs) can efficiently stimulate regeneration and therefore is a tempting remedy for “cell-free cellular therapy”. However, the usage of primary MSC cultures as secretome-producers for translation studies has obvious obstacles, including rapid aging of MSC cultures, the need for a large number of verified donors and donor-to-donor variability of secretome content.
Read the full summary ↓
MSCs immortalization allows to overcome those limitations and to obtain secretome-producing cultures with prolonged lifetime. However, the efficacy and safety of such secretomes are critical issues, which limit their usage as therapeutic agents. In this study we have tested in large detail how the immortalization of MSC cultures affects the content, biological activity and safety of their secretome. MSCs immortalization via overexpression of human TERT gene does not significantly alter the qualitative and quantitative composition of their secretome or its activity according to the results of proteomic analysis, ELISA, qPCR and functional tests in vitro. Moreover, we have demonstrated that the secretome of immortalized MSCs does not contain detectable amounts of telomerase and does not possess any transforming activity. Altogether, our data suggest that immortalized MSC cultures may become a reliable source for obtaining standardized active secretome in large-scale quantities for clinical use.
This dataset
Open GSE306748 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE306748_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

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 PRJNA1312028 and SRA study SRP613950. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in duplicate
HDF_MSCimmort ×2 HDF_DMS ×2 HDF_MSCwt ×2 HDF_С ×2 HDF_NaNO2 ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.