The response of Melanoma cell line A375 to cytotoxic T lyphocyte killing after serum starvation and MKL1 overexpression
RNA-seq (gene expression) · human · 15 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)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 15 samples: 5 conditions, mostly in triplicateGroups 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
- Serum starvation-induced cholesterol reduction increases melanoma cell susceptibility to cytotoxic T lymphocyte killingScientific reports · 2025
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 GSE285537_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 PRJNA1204328 and SRA study SRP554467. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8703973 A375_10_1 A375_10
- GSM8703974 A375_10_2 A375_10
- GSM8703975 A375_10_3 A375_10
- GSM8703976 A375_Starve_1 A375_Starve
- GSM8703977 A375_Starve_2 A375_Starve
- GSM8703978 A375_Starve_3 A375_Starve
- GSM8703979 Control_1 Control
- GSM8703980 Control_2 Control
- GSM8703981 Control_3 Control
- GSM8703982 MKL1_1 MKL1
- GSM8703983 MKL1_2 MKL1
- GSM8703984 MKL1_3 MKL1
- GSM8703985 caMKL1_1 caMKL1
- GSM8703986 caMKL1_2 caMKL1
- GSM8703987 caMKL1_3 caMKL1
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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.