Mechanistic insights into PFAS-induced effects on B lymphocyte activation and antibody secretion [PBMCs]
RNA-seq (gene expression) · human · 41 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
- 41 samples: 10 conditions, mostly with about 5 replicates eachGroups 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
- Mechanistic insights into PFAS-induced effects on B lymphocyte activation and antibody secretionArchives of toxicology · 2026
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 GSE311566_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 PRJNA1369879 and SRA study SRP649199. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 41 samples.
How we read this: 10 replicated groups read from 41 sample titles; they account for 41 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.
- GSM9327112 PBMCs, Female, Control, rep1 PBMCs, Female, Control,
- GSM9327113 PBMCs, Female, Control, rep2 PBMCs, Female, Control,
- GSM9327114 PBMCs, Female, Control, rep3 PBMCs, Female, Control,
- GSM9327115 PBMCs, Female, Control, rep4 PBMCs, Female, Control,
- GSM9327116 PBMCs, Female, PFOA, rep1 PBMCs, Female, PFOA,
- GSM9327117 PBMCs, Female, PFOA, rep2 PBMCs, Female, PFOA,
- GSM9327118 PBMCs, Female, PFOA, rep3 PBMCs, Female, PFOA,
- GSM9327119 PBMCs, Female, PFOA, rep4 PBMCs, Female, PFOA,
- GSM9327120 PBMCs, Female, PFOA, rep5 PBMCs, Female, PFOA,
- GSM9327121 PBMCs, Female, PFOS, rep1 PBMCs, Female, PFOS,
- GSM9327122 PBMCs, Female, PFOS, rep2 PBMCs, Female, PFOS,
- GSM9327123 PBMCs, Female, PFOS, rep3 PBMCs, Female, PFOS,
- GSM9327124 PBMCs, Female, PFOS, rep4 PBMCs, Female, PFOS,
- GSM9327125 PBMCs, Female, PFOS, rep5 PBMCs, Female, PFOS,
- GSM9327126 PBMCs, Female, dexamethason, rep1 PBMCs, Female, dexameth…
- GSM9327127 PBMCs, Female, dexamethason, rep2 PBMCs, Female, dexameth…
- GSM9327128 PBMCs, Female, dexamethason, rep3 PBMCs, Female, dexameth…
- GSM9327129 PBMCs, Female, GW, rep1 PBMCs, Female, GW,
- GSM9327130 PBMCs, Female, GW, rep2 PBMCs, Female, GW,
- GSM9327131 PBMCs, Female, GW, rep3 PBMCs, Female, GW,
- GSM9327132 PBMCs, Male, Control, rep1 PBMCs, Male, Control,
- GSM9327133 PBMCs, Male, Control, rep2 PBMCs, Male, Control,
- GSM9327134 PBMCs, Male, Control, rep3 PBMCs, Male, Control,
- GSM9327135 PBMCs, Male, Control, rep4 PBMCs, Male, Control,
- GSM9327136 PBMCs, Male, Control, rep5 PBMCs, Male, Control,
- GSM9327137 PBMCs, Male, PFOA, rep1 PBMCs, Male, PFOA,
- GSM9327138 PBMCs, Male, PFOA, rep2 PBMCs, Male, PFOA,
- GSM9327139 PBMCs, Male, PFOA, rep3 PBMCs, Male, PFOA,
- GSM9327140 PBMCs, Male, PFOA, rep4 PBMCs, Male, PFOA,
- GSM9327141 PBMCs, Male, PFOA, rep5 PBMCs, Male, PFOA,
- GSM9327142 PBMCs, Male, PFOS, rep1 PBMCs, Male, PFOS,
- GSM9327143 PBMCs, Male, PFOS, rep2 PBMCs, Male, PFOS,
- GSM9327144 PBMCs, Male, PFOS, rep3 PBMCs, Male, PFOS,
- GSM9327145 PBMCs, Male, PFOS, rep4 PBMCs, Male, PFOS,
- GSM9327146 PBMCs, Male, PFOS, rep5 PBMCs, Male, PFOS,
- GSM9327147 PBMCs, Male, dexamethason, rep1 PBMCs, Male, dexamethas…
- GSM9327148 PBMCs, Male, dexamethason, rep2 PBMCs, Male, dexamethas…
- GSM9327149 PBMCs, Male, dexamethason, rep3 PBMCs, Male, dexamethas…
- GSM9327150 PBMCs, Male, GW, rep1 PBMCs, Male, GW,
- GSM9327151 PBMCs, Male, GW, rep2 PBMCs, Male, GW,
+ 1 more — browse all 41 samples with per-sample file links →
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares lymphocyte, activation
- GSE333617 Targeting JAK1/3-STAT1 signaling attenuates cytotoxic T lymphocytes activation for the treatment in Stevens-Johnson syndrome and toxic epidermal necrolysis 26 samples shares lymphocyte, activation
- GSE306950 Dysregulated NK Cell Activation and Myeloid-Lymphoid Imbalance Underpin COPD Progression: Insights from High-Dimensional Immune Profiling and Smoking-Induced Immune Remodeling 35 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE254732 Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects 215 samples shares activation
- GSE319878 Interrogating the mechanistic link between neighborhood deprivation and colorectal cancer risk through gene expression analysis of normal colorectal biopsies 171 samples shares mechanistic
- GSE273700 Whole transcriptome analysis reveals T cell signaling activation in septic patients with thrombocytopenia 104 samples shares activation
- GSE211434 Diverse immune suppressing cancer communications with myeloid cells prevent T cell activation and recruitment and provide resistance to cell cycle inhibitor therapy 81 samples shares activation
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.