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A Multipotent PROX1+ Tumor Cell Population Emerges During Intestinal Tumorigenesis and Mediates Radioresistance in Colorectal Cancer

GSE280084 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/02/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 13 samples, each with a distinct title — no replicated groupsGroups 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)
Colorectal carcinoma (CRC) progression is associated with an increase in PROX1+ tumor cells, which exhibit features of CRC stem cells and contribute to metastasis. Here, we aimed to provide a better understanding to the function of PROX1+ cells in CRC, investigating their progeny and their role in therapy resistance. PROX1+ cells in intestinal adenomas of ApcMin/+ mice expressed intestinal epithelial and CRC stem cell markers, and cells with high PROX1 expression could both self-renew tumor stem/progenitor cells and contribute to differentiated tumor cells.
Read the full summary ↓
Most PROX1-lineage traced tumor cells were stem/progenitor cells, which can supply cells to multiple intestinal tumor cell lineages, whereas most lineage-traced LGR5+ tumor cells were enterocytes, indicating that PROX1+ and LGR5+ tumor stem cells have distinct differentiation programs. Although the PROX1+ tumor cells proliferated slower than PROX1- cells, irradiation increased the proportion of PROX1+ cells in human CRC cell lines, patient-derived organoids, and tumor xenografts. Furthermore, transcripts related to DNA damage repair (DDR) were enriched in PROX1+ vs. PROX1- cells in adenomas and in CRC tumor cells from patients. Experiments with PROX1 silencing and overexpression indicated that PROX1 expression enhances CRC cell colony formation following irradiation. PROX1 interacted with DDR proteins, including components of non-homologous end-joining (NHEJ) and base excision repair, and inhibition of NHEJ repair led to a decreased proportion of PROX1+ cells following irradiation. In conclusion, PROX1+ cells are irradiation-resistant tumor stem/progenitor cells capable of self-renewal and differentiation. DDR inhibitors could represent a strategy to target the treatment-resistant PROX1+ tumor stem cells.
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 GSE280084_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 PRJNA1176173 and SRA study SRP540868. Searching any of these in the dataset finder brings you back here.

Study design
13 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 13 sample titles: 13 distinct titles with little repetition. 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.