Bulk RNA-seq data of orbital fibroblasts and peripheral blood mononuclear cells (PBMCs) from thyroid eye disease patients
RNA-seq (gene expression) · human · 59 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
- 59 samples: 45 distinct titles, 7 of them repeatedGroups 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
- Integrative transcriptomic profiling and machine learning reveal hypoxia-associated molecular signatures for precision diagnosis in thyroid eye diseaseHuman genomics · 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 GSE280114_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 PRJNA1176489 and SRA study SRP540350. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 38 samples read as cases, 3 as controls.
How we read this: Read from 59 sample titles: 45 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.
- GSM8588074 fibroblast, control, rep1
- GSM8588075 fibroblast, control, rep2
- GSM8588076 fibroblast, control, rep3
- GSM8588077 fibroblast, CSE treatment, 6h, rep1
- GSM8588078 fibroblast, CSE treatment, 6h, rep2
- GSM8588079 fibroblast, CSE treatment, 6h, rep3
- GSM8588080 fibroblast, CSE treatment, 8h, rep1
- GSM8588081 fibroblast, CSE treatment, 8h, rep2
- GSM8588082 fibroblast, CSE treatment, 8h, rep3
- GSM8588083 fibroblast, CSE treatment, 12h, rep1
- GSM8588084 fibroblast, CSE treatment, 12h, rep2
- GSM8588085 fibroblast, CSE treatment, 12h, rep3
- GSM8588086 fibroblast, CSE treatment, 24h, rep1
- GSM8588087 fibroblast, CSE treatment, 24h, rep2
- GSM8588088 fibroblast, CSE treatment, 24h, rep3
- GSM8588089 fibroblast, CSE treatment, 48h, rep1
- GSM8588090 fibroblast, CSE treatment, 48h, rep2
- GSM8588091 fibroblast, CSE treatment, 48h, rep3
- GSM8588092 fibroblast, CSE treatment, 72h, rep1
- GSM8588093 fibroblast, CSE treatment, 72h, rep2
- GSM8588094 fibroblast, CSE treatment, 72h, rep3
- GSM8588095 TED_1_1, nonsmoking patient, bulk RNA
- GSM8588096 TED_1_2, nonsmoking patient, bulk RNA
- GSM8588097 TED_3_19, smoking patient, bulk RNA
- GSM8588098 TED_4_23, nonsmoking patient, bulk RNA
- GSM8588099 TED_4_27, smoking patient, bulk RNA
- GSM8588100 TED_5_30, nonsmoking patient, bulk RNA
- GSM8588101 TED_5_31, nonsmoking patient, bulk RNA
- GSM8588102 TED_6_44, smoking patient, bulk RNA
- GSM8588103 TED_6_47, nonsmoking patient, bulk RNA
- GSM8588104 TED_7_54, nonsmoking patient, bulk RNA
- GSM8588105 TED_7_55, nonsmoking patient, bulk RNA
- GSM8588106 TED_7_57, smoking patient, bulk RNA
- GSM8588107 TED_8_58, nonsmoking patient, bulk RNA
- GSM8588108 TED_8_59, nonsmoking patient, bulk RNA
- GSM8588109 TED_9_60, nonsmoking patient, bulk RNA
- GSM8588110 TED_10_68, smoking patient, bulk RNA
- GSM8588111 TED_11_72, smoking patient, bulk RNA
- GSM8588112 TED_11_79, nonsmoking patient, bulk RNA
- GSM8588113 TED_11_88, nonsmoking patient, bulk RNA
+ 19 more — browse all 59 samples with per-sample file links →
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares mononuclear, peripheral, rna-seq, blood
- GSE334923 Single-cell RNA-seq atlas of peripheral blood and kidney graft immune cells in chronic antibody-mediated rejection 48 samples shares peripheral, rna-seq, blood
- GSE267718 Single cell RNA sequencing (scRNAseq) of urine-derived cells, peripheral blood mononuclear (PBMC), and tumor cells from bladder cancer patients. 33 samples shares mononuclear, peripheral, blood
- GSE207625 RNA Sequencing Analysis of Peripheral Blood Mononuclear Cells Associated with COVID-19 Deterioration 12 samples shares mononuclear, peripheral, blood
- GSE269269 Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells From Acute Myocardial Infarction 10 samples shares mononuclear, peripheral, blood
- GSE270387 Single cell profiling of peripheral blood mononuclear cells in diverse men with prostate cancer reveals lethal disease-associated immune signatures 165 samples shares mononuclear, peripheral, blood
- GSE254176 Dynamic changes of immune cells in systemic lupus erythematosus with nephritis using longitudinal peripheral blood single-cell RNA-seq 57 samples shares peripheral, rna-seq, blood
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares peripheral, blood
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.