Differential gene expression in SK-MEL-5 and MALME-3M cell lines following IFN-γ treatment
RNA-seq (gene expression) · human · 12 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
- 12 samples
- 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 GSE269453_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 PRJNA1121942. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run RNA021695 … RNA021706 and carry no group information.
- GSM8315971 RNA021695
- GSM8315972 RNA021696
- GSM8315973 RNA021697
- GSM8315974 RNA021698
- GSM8315975 RNA021699
- GSM8315976 RNA021700
- GSM8315977 RNA021701
- GSM8315978 RNA021702
- GSM8315979 RNA021703
- GSM8315980 RNA021704
- GSM8315981 RNA021705
- GSM8315982 RNA021706
- GSE324785 Comparative analysis of gene expression in HDV-infected dHepaRG cells upon treatment with IFN-α-2a or IFN-λ1 27 samples shares ifn, treatment
- GSE306664 Revealing differential type I and type II IFN responses in different immune cells in various human diseases by a new IFNs transcriptomic atlas 131 samples shares ifn, differential
- GSE329545 Mechanisms of Differential Signaling by IFNLR1 Variants 48 samples shares ifn, differential
- GSE255658 Effects of lipopolysaccharide (LPS) or interferon gamma (IFNy) treatment on wild type or PILRA knock-out iPSC-derived human microglia after 24 hours 30 samples shares ifn, treatment
- GSE271851 Identification of differential expression circRNAs profile in Gynecological cancer associated cell lines 18 samples shares differential, lines
- GSE232322 Differential gene expression in breast cancer cell lines treated with a Baicalein at 100 uM concentration 12 samples shares differential, lines
- GSE276889 Mitochondria isolated from male skeletal muscle contain a small and distinct population of microRNA that are differentially expressed following acute endurance exercise 33 samples shares differential, following
- GSE301741 Single cell analysis highlights the significance of malignant cell IFN/MHC-II for immunotherapy response in head and neck squamous cell carcinoma 58 samples shares ifn
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.