Bulk RNA-seq of iPSC-derived macrophages exposed to disease-relevant stimuli
RNA-seq (gene expression) · human · 30 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
- 30 samples: 30 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.
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 GSE298244_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 PRJNA1268564 and SRA study SRP588000. 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 30 sample titles: 30 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.
- GSM9010500 Diff2-0-4ng-mL-IFNy
- GSM9010501 Diff2-2ng-mL-TGFb
- GSM9010502 Diff2-5ng-mL-IL1B
- GSM9010503 Diff2-5ng-mL-TNFa
- GSM9010504 Diff2-Unstim
- GSM9010505 Diff3-0-4ng-mL-IFNy
- GSM9010506 Diff3-2ng-mL-TGFb
- GSM9010507 Diff3-5ng-mL-IL1B
- GSM9010508 Diff3-5ng-mL-TNFa
- GSM9010509 Diff3-Unstim
- GSM9010510 Diff4-0-4ng-mL-IFNy
- GSM9010511 Diff4-2ng-mL-TGFb
- GSM9010512 Diff4-5ng-mL-IL1B
- GSM9010513 Diff4-5ng-mL-TNFa
- GSM9010514 Diff4-Unstim
- GSM9010515 Diff5-0-4ng-mL-IFNy
- GSM9010516 Diff5-2ng-mL-TGFb
- GSM9010517 Diff5-5ng-mL-IL1B
- GSM9010518 Diff5-5ng-mL-TNFa
- GSM9010519 Diff5-Unstim
- GSM9010520 Diff6-0-4ng-mL-IFNy
- GSM9010521 Diff6-2ng-mL-TGFb
- GSM9010522 Diff6-5ng-mL-IL1B
- GSM9010523 Diff6-5ng-mL-TNFa
- GSM9010524 Diff6-Unstim
- GSM9010525 Diff7-0-4ng-mL-IFNy
- GSM9010526 Diff7-2ng-mL-TGFb
- GSM9010527 Diff7-5ng-mL-IL1B
- GSM9010528 Diff7-5ng-mL-TNFa
- GSM9010529 Diff7-Unstim
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares rna-seq, stimuli, bulk
- GSE237489 RNA-seq for iPSC-derived macrophages with/without Lipopolysaccharide (LPS) stimulation. 8 samples shares ipsc-derived, macrophages, rna-seq
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq, bulk
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares rna-seq, bulk
- GSE327166 Bulk RNA-seq profiling of pleural mesothelioma and comparator pleural specimens 89 samples shares rna-seq, bulk
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares rna-seq, bulk
- GSE283079 Bulk RNA-seq of human knee osteoarthritis synovium 41 samples shares rna-seq, bulk
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares rna-seq, bulk
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.