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Next-generation sequencing to define the impact of Cxcl1 on murine MSC transcriptome and BM-PCa tumor microenvironment

GSE268815 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/08/13 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 5 conditions, mostly in triplicateGroups 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.
Paper
Targeted Deletion of Cxcl1 in MSCs Regulates Osteogenesis and Suppresses Bone-Metastatic Prostate CancerMolecular cancer research : MCR · 2025
Summary (written by the submitters)
Purpose: Prostate cancer most frequently metastasizes to bone and is incurable. Metastatic prostate cancer cells thrive in bone through molecular regulation of surrounding bone stroma, including upregulation of CXCL8 (CXCL1 in mice) in MSCs. This study characterizes the changes in the bone marrow mesenchymal stem cells (MSCs) upon targeted deletion of Cxcl1 in murine MSC. It also characterized the changes in the tumor/stromal cells of tumors with Cxcl1 KO MSCs or control MSCs. These studies seek to determine the importance of MSC-derived CXCL1 in bone-metastatic prostate cancer.
Published in
Targeted Deletion of Cxcl1 in MSCs Regulates Osteogenesis and Suppresses Bone-Metastatic Prostate Cancer
Johnson CS, Costanzo-Garvey D, Valencia JC et al. · Molecular cancer research : MCR 2025 · PMID 40298918 · doi:10.1158/1541-7786.MCR-24-0672
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 GSE268815_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 PRJNA1118780 and SRA study SRP511089. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
Sample ×12 ScrCtl ×3 A ×3 B ×3 C ×3

Supports a between-group comparison across 24 samples.

How we read this: 5 replicated groups read from 24 sample titles; they account for 24 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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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.