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Protective effects on melphalan-induced mouse intestinal injury treated by Human Umbilical Cord-derived Mesenchymal Stem Cells

GSE225899 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/04/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples: 3 × small intestine, Control vs 3 × small intestine, Melphalan vs 3 × small intestine, Mel+MSC vs 3 × small intestine, MSC+MelGroups 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)
Autologous peripheral hematopoietic stem cell transplantation (autoHSCT) is one front-line therapy with high-dose melphalan for multiple myeloma (MM). Patients with MM who receive conditioning regimen with melphalan usually suffer from severe gastrointestinal symptoms, as one of nonhematological toxicities. Aim: It is an urgent demand to develop an effective methods to repair the intestinal injuries in patients with MM receiving conditioning regimen with high-dose melphalan for autoHSCT.
Read the full summary ↓
Therefore, the protective effects of Human umbilical cord derived-mesenchymal stem cells (hucMSCs) is investigated after infusion into mouse model with melphalan-induce gastrointestinal injuries.
This dataset
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.

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 GSE225899_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA937919 and SRA study SRP424077. Searching any of these in the dataset finder brings you back here.

Study design
3 × small intestine, Control vs 3 × small intestine, Melphalan vs 3 × small intestine, Mel+MSC vs 3 × small intestine, MSC+Mel

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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