RNAseq analysis of human neutrophil mRNA from adults with SLE and age-matched healthy controls
RNA-seq (gene expression) · human · 21 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
- 21 samples: 11 × Blood neutrophils, 0h, SLE vs 10 × Blood neutrophils, 0h, Healthy ControlGroups 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.
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 GSE309422_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 PRJNA1336062 and SRA study SRP629391. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 2 replicated groups read from 21 sample titles; they account for 21 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.
- GSM9267180 Blood neutrophils, 0h, Healthy Control replicate 1 Blood neutrophils, 0h, …
- GSM9267181 Blood neutrophils, 0h, Healthy Control replicate 2 Blood neutrophils, 0h, …
- GSM9267182 Blood neutrophils, 0h, SLE replicate 1 Blood neutrophils, 0h, …
- GSM9267183 Blood neutrophils, 0h, SLE replicate 2 Blood neutrophils, 0h, …
- GSM9267185 Blood neutrophils, 0h, SLE replicate 3 Blood neutrophils, 0h, …
- GSM9267186 Blood neutrophils, 0h, SLE replicate 4 Blood neutrophils, 0h, …
- GSM9267187 Blood neutrophils, 0h, SLE replicate 5 Blood neutrophils, 0h, …
- GSM9267188 Blood neutrophils, 0h, SLE replicate 6 Blood neutrophils, 0h, …
- GSM9267190 Blood neutrophils, 0h, SLE replicate 7 Blood neutrophils, 0h, …
- GSM9267191 Blood neutrophils, 0h, Healthy Control replicate 3 Blood neutrophils, 0h, …
- GSM9267192 Blood neutrophils, 0h, Healthy Control replicate 4 Blood neutrophils, 0h, …
- GSM9267193 Blood neutrophils, 0h, Healthy Control replicate 5 Blood neutrophils, 0h, …
- GSM9267194 Blood neutrophils, 0h, Healthy Control replicate 6 Blood neutrophils, 0h, …
- GSM9267196 Blood neutrophils, 0h, SLE replicate 8 Blood neutrophils, 0h, …
- GSM9267197 Blood neutrophils, 0h, SLE replicate 9 Blood neutrophils, 0h, …
- GSM9267198 Blood neutrophils, 0h, SLE replicate 10 Blood neutrophils, 0h, …
- GSM9267200 Blood neutrophils, 0h, SLE replicate 11 Blood neutrophils, 0h, …
- GSM9267201 Blood neutrophils, 0h, Healthy Control replicate 7 Blood neutrophils, 0h, …
- GSM9267202 Blood neutrophils, 0h, Healthy Control replicate 8 Blood neutrophils, 0h, …
- GSM9267203 Blood neutrophils, 0h, Healthy Control replicate 9 Blood neutrophils, 0h, …
- GSM9267205 Blood neutrophils, 0h, Healthy Control replicate 10 Blood neutrophils, 0h, …
- GSE292338 RNAseq analysis of human neutrophils from healthy controls, people with frailty and people with rheumatoid arthritis 39 samples shares neutrophil, controls, healthy
- GSE302306 Transcriptomic Profiling of CD66b+ Neutrophils from Healthy Controls and Cardiac Surgery Patients with Vasoplegic and Septic Shock Syndromes Across Multiple Timepoints 68 samples shares neutrophil, controls, healthy
- GSE270484 Patchseq Data of T1D Donor Islets vs ND Matched Controls 958 samples shares sle, controls
- GSE158592 RNAseq analysis of blood from influenza infected patients and healthy controls SIG-2018 74 samples shares controls, healthy
- GSE196350 RNAseq analysis of blood from influenza infected patients and healthy controls 69 samples shares controls, healthy
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares controls, healthy
- GSE266852 Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis. 10 samples shares controls, healthy
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares controls, healthy
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.