Calcineurin-NFAT signaling controls the neutrophils´ ability of chemoattraction upon fungal infection.
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 24 samples: 24 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.
- Paper
- Calcineurin-NFAT signaling controls neutrophils' ability of chemoattraction upon fungal infectionJournal of leukocyte biology · 2024
Read the full summary ↓
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 GSE259282_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 PRJNA1080579 and SRA study SRP491769. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 24 sample titles: 24 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.
- GSM8113020 neutrophils, OV62, NT
- GSM8113021 neutrophils, OV62, NT+CsA
- GSM8113022 neutrophils, OV62, HKCA
- GSM8113023 neutrophils, OV62, HKCA+CsA
- GSM8113024 neutrophils, OV62, HKAF
- GSM8113025 neutrophils, OV62, HKAF+CsA
- GSM8113026 neutrophils, OV66, NT
- GSM8113027 neutrophils, OV66, NT+CsA
- GSM8113028 neutrophils, OV66, HKCA
- GSM8113029 neutrophils, OV66, HKCA+CsA
- GSM8113030 neutrophils, OV66, HKAF
- GSM8113031 neutrophils, OV66, HKAF+CsA
- GSM8113032 neutrophils, OV67, NT
- GSM8113033 neutrophils, OV67, NT+CsA
- GSM8113034 neutrophils, OV67, HKCA
- GSM8113035 neutrophils, OV67, HKCA+CsA
- GSM8113036 neutrophils, OV67, HKAF
- GSM8113037 neutrophils, OV67, HKAF+CsA
- GSM8113038 neutrophils, OV68, NT
- GSM8113039 neutrophils, OV68, NT+CsA
- GSM8113040 neutrophils, OV68, HKCA
- GSM8113041 neutrophils, OV68, HKCA+CsA
- GSM8113042 neutrophils, OV68, HKAF
- GSM8113043 neutrophils, OV68, HKAF+CsA
- 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 neutrophils, controls
- GSE292338 RNAseq analysis of human neutrophils from healthy controls, people with frailty and people with rheumatoid arthritis 39 samples shares neutrophils, controls
- GSE293224 RNAseq analysis of human neutrophils from healthy controls and from people with systemic lupus eruthematosus 35 samples shares neutrophils, controls
- GSE324044 Contribution of cytotoxic CD8 T cells, neutrophils and type 1 interferon signaling to hyperinflammatory pathology in HIV associated TB meningitis 64 samples shares neutrophils
- GSE270484 Patchseq Data of T1D Donor Islets vs ND Matched Controls 958 samples shares controls
- GSE334369 Paradoxical Phenotype of Fibromyalgia Neutrophils: Elevated Baseline Inflammation but Blunted Response to Stimulation 206 samples shares neutrophils
- GSE300610 Growing iPSC-derived neuronal precursor cells (NPCs) of MT-ATP6 patients and of normal controls under physiological glucose concentrations of 4.5 mM with and without 1 µM or 10 µM Sildenafil for 6 or 24 hours. 192 samples shares controls
- GSE275823 Uncovering the Dynamics of Immune Cell Populations in the First Week of Life: The Interplay of Neutrophils and Breastfeeding 178 samples shares neutrophils
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.