Characterization of the transcriptional profile of circulating neutrophils from COPD patients [RNA-Seq]
RNA-seq (gene expression) · human · 77 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
- 77 samples: 39 × COPD vs 37 × HDGroups 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
- Innate immune reprogramming in circulating neutrophils of COPD patientsThe Journal of allergy and clinical immunology · 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 GSE278206_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 PRJNA1166085 and SRA study SRP535233. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 76 samples.
How we read this: 2 replicated groups read from 77 sample titles; they account for 76 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.
- GSM8541810 HD_101 HD
- GSM8541811 HD_105 HD
- GSM8541812 HD_109 HD
- GSM8541813 HD_111 HD
- GSM8541814 HD_112 HD
- GSM8541815 HD_120 HD
- GSM8541816 HD_121 HD
- GSM8541817 HD_122 HD
- GSM8541818 HD_125.5
- GSM8541819 HD_132 HD
- GSM8541820 HD_135 HD
- GSM8541821 HD_143 HD
- GSM8541822 HD_146 HD
- GSM8541823 HD_148 HD
- GSM8541824 HD_149 HD
- GSM8541825 HD_150 HD
- GSM8541826 HD_157 HD
- GSM8541827 HD_158 HD
- GSM8541828 HD_159 HD
- GSM8541829 HD_161 HD
- GSM8541830 HD_166 HD
- GSM8541831 HD_168 HD
- GSM8541832 HD_169 HD
- GSM8541833 HD_170 HD
- GSM8541834 HD_171 HD
- GSM8541835 HD_173 HD
- GSM8541836 HD_175 HD
- GSM8541837 HD_176 HD
- GSM8541838 HD_178 HD
- GSM8541839 HD_179 HD
- GSM8541840 HD_180 HD
- GSM8541841 HD_182 HD
- GSM8541842 HD_183 HD
- GSM8541843 HD_187 HD
- GSM8541844 HD_38 HD
- GSM8541845 HD_84 HD
- GSM8541846 HD_93 HD
- GSM8541847 HD_95 HD
- GSM8541848 COPD_162 COPD
- GSM8541849 COPD_100 COPD
+ 37 more — browse all 77 samples with per-sample file links →
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares copd, rna-seq
- GSE298173 Circulating immune cell signature analysis in HFpEF across species [RNA-Seq - human] 18 samples shares circulating, rna-seq
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares rna-seq
- GSE273829 GABA promotes resistance to immunotherapy of patients with TLS-positive tumors [RNA-seq] 92 samples shares rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares rna-seq
- GSE202069 RNA-seq data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients with anti-PD-1 therapy 66 samples shares rna-seq
- GSE303271 RNA-seq of liver biopsies from patients with pediatric autoimmune liver disease 64 samples shares rna-seq
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.