DRUG-seq of High-Density Neutrophils (HDNs) from Colorectal Cancer Patients with or without GM-CSF Stimulation
RNA-seq (gene expression) · human · 18 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
- 18 samples: 6 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
- Agonist signaling drives neutrophil subpopulations to promote/inhibit colorectal cancer liver metastasisNature communications · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302900_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1292793 and SRA study SRP601532. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9113216 Ctrl_P11_1 Ctrl_P11
- GSM9113217 Ctrl_P11_2 Ctrl_P11
- GSM9113218 Ctrl_P11_3 Ctrl_P11
- GSM9113219 GMCSF_P11_1 GMCSF_P11
- GSM9113220 GMCSF_P11_2 GMCSF_P11
- GSM9113221 GMCSF_P11_3 GMCSF_P11
- GSM9113222 Ctrl_P12_1 Ctrl_P12
- GSM9113223 Ctrl_P12_2 Ctrl_P12
- GSM9113224 Ctrl_P12_3 Ctrl_P12
- GSM9113225 GMCSF_P12_1 GMCSF_P12
- GSM9113226 GMCSF_P12_2 GMCSF_P12
- GSM9113227 GMCSF_P12_3 GMCSF_P12
- GSM9113228 Ctrl_P13_1 Ctrl_P13
- GSM9113229 Ctrl_P13_2 Ctrl_P13
- GSM9113230 Ctrl_P13_3 Ctrl_P13
- GSM9113231 GMCSF_P13_1 GMCSF_P13
- GSM9113232 GMCSF_P13_2 GMCSF_P13
- GSM9113233 GMCSF_P13_3 GMCSF_P13
- GSE302902 DRUG-seq of high-density neutrophils (HDNs), mature low-density neutrophils (M-LDN), and immature low-density neutrophils (IM-LDN) in patients with colorectal cancer 51 samples shares high-density, neutrophils, colorectal, drug-seq, hdns
- GSE334369 Paradoxical Phenotype of Fibromyalgia Neutrophils: Elevated Baseline Inflammation but Blunted Response to Stimulation 206 samples shares neutrophils, stimulation
- GSE317449 Effect of depletion of TSPAN6 on Biliary Epithelial Cells with and without LPS stimulation mirroring liver disease. 20 samples shares stimulation, without
- GSE239976 Transcriptomic profiling of high-density neutrophils in human thyroid cancer. 20 samples shares high-density, neutrophils
- GSE261270 Next Generation Sequencing facilitates to identify the differential expression genes of expanded MAIT cells upon the stimulation of 5-OP-RU/MR1 tetramer with/without GCDCA/TCDCA/UDCA 18 samples shares stimulation, without
- GSE310441 Antigen-reactive CD4 T cells after SARS-CoV-2 vaccination show divergent phenotypic states with or without restimulation [separate samples] 16 samples shares stimulation, without
- GSE237489 RNA-seq for iPSC-derived macrophages with/without Lipopolysaccharide (LPS) stimulation. 8 samples shares stimulation, without
- GSE266236 Effect of siRNA-mediated GSK3 knock-down on the transcriptional signature of human GM-CSF-dependent monocyte-derived macrophages 12 samples shares gm-csf
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.