RNA-Seq Analysis of Growth Resistant Combination of Inhibitors to Human A375 Melanoma Lung Metastases in NSG Mice with High Fat Diet or Ketogenic Diet
RNA-seq (gene expression) · human · 16 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
- 16 samples: 4 × HC vs 4 × HT vs 4 × KC vs 4 × KTGroups 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.
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 GSE183445_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 PRJNA760889 and SRA study SRP335720. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM5557732 HC1 HC
- GSM5557733 HC2 HC
- GSM5557734 HC3 HC
- GSM5557735 HC4 HC
- GSM5557736 HT1 HT
- GSM5557737 HT2 HT
- GSM5557738 HT3 HT
- GSM5557739 HT4 HT
- GSM5557740 KC1 KC
- GSM5557741 KC2 KC
- GSM5557742 KC3 KC
- GSM5557743 KC4 KC
- GSM5557744 KT1 KT
- GSM5557745 KT2 KT
- GSM5557746 KT3 KT
- GSM5557747 KT4 KT
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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.