Tumour sampling conditions perturb the metabolic landscape of clear cell renal cell carcinoma
RNA-seq (gene expression) · human · 42 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
- Kidney cancerThis series is part of our curated briefing on it.
- Samples
- 42 samples: 17 conditions, mostly in duplicateGroups 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
- Tumour sampling conditions perturb the metabolic landscape of clear cell renal cell carcinomaNature communications · 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 GSE274774_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 PRJNA1147856 and SRA study SRP526230. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 39 samples.
How we read this: 17 replicated groups read from 42 sample titles; they account for 39 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.
- GSM8457646 P16 kidney, in vivo, rep1 P16 kidney, in vivo,
- GSM8457647 P16 kidney, in vivo, rep2 P16 kidney, in vivo,
- GSM8457648 P16 kidney, in vivo, rep3 P16 kidney, in vivo,
- GSM8457649 P16 ccRCC, in vivo, rep1 P16 ccRCC, in vivo,
- GSM8457650 P16 ccRCC, in vivo, rep2 P16 ccRCC, in vivo,
- GSM8457651 P16 kidney, ischaemia, rep1 P16 kidney, ischaemia,
- GSM8457652 P16 kidney, ischaemia, rep2 P16 kidney, ischaemia,
- GSM8457653 P16 kidney, ischaemia, rep3 P16 kidney, ischaemia,
- GSM8457654 P16 ccRCC, ischaemia, rep1 P16 ccRCC, ischaemia,
- GSM8457655 P16 ccRCC, ischaemia, rep2 P16 ccRCC, ischaemia,
- GSM8457656 P16 ccRCC, ischaemia, rep3 P16 ccRCC, ischaemia,
- GSM8457657 P17 kidney, in vivo, rep1
- GSM8457658 P17 ccRCC, in vivo, rep1 P17 ccRCC, in vivo,
- GSM8457659 P17 ccRCC, in vivo, rep2 P17 ccRCC, in vivo,
- GSM8457660 P17 kidney, ischaemia, rep1 P17 kidney, ischaemia,
- GSM8457661 P17 kidney, ischaemia, rep2 P17 kidney, ischaemia,
- GSM8457662 P17 ccRCC, ischaemia, rep1 P17 ccRCC, ischaemia,
- GSM8457663 P17 ccRCC, ischaemia, rep2 P17 ccRCC, ischaemia,
- GSM8457664 P18 kidney, in vivo, rep1 P18 kidney, in vivo,
- GSM8457665 P18 kidney, in vivo, rep2 P18 kidney, in vivo,
- GSM8457666 P18 ccRCC, in vivo, rep1 P18 ccRCC, in vivo,
- GSM8457667 P18 ccRCC, in vivo, rep2 P18 ccRCC, in vivo,
- GSM8457668 P18 kidney, ischaemia, rep1
- GSM8457669 P18 ccRCC, ischaemia, rep1
- GSM8457670 P19 kidney, in vivo, rep1 P19 kidney, in vivo,
- GSM8457671 P19 kidney, in vivo, rep2 P19 kidney, in vivo,
- GSM8457672 P19 ccRCC, in vivo, rep1 P19 ccRCC, in vivo,
- GSM8457673 P19 ccRCC, in vivo, rep2 P19 ccRCC, in vivo,
- GSM8457674 P19 kidney, ischaemia, rep1 P19 kidney, ischaemia,
- GSM8457675 P19 kidney, ischaemia, rep2 P19 kidney, ischaemia,
- GSM8457676 P19 ccRCC, ischaemia, rep1 P19 ccRCC, ischaemia,
- GSM8457677 P19 ccRCC, ischaemia, rep2 P19 ccRCC, ischaemia,
- GSM8457678 P22 kidney, in vivo, rep1 P22 kidney, in vivo,
- GSM8457679 P22 kidney, in vivo, rep2 P22 kidney, in vivo,
- GSM8457680 P22 kidney, in vivo, rep3 P22 kidney, in vivo,
- GSM8457681 P22 ccRCC, in vivo, rep1 P22 ccRCC, in vivo,
- GSM8457682 P22 ccRCC, in vivo, rep2 P22 ccRCC, in vivo,
- GSM8457683 P22 ccRCC, in vivo, rep3 P22 ccRCC, in vivo,
- GSM8457684 P22 kidney, ischaemia, rep1 P22 kidney, ischaemia,
- GSM8457685 P22 kidney, ischaemia, rep2 P22 kidney, ischaemia,
+ 2 more — browse all 42 samples with per-sample file links →
- GSE216494 Impact of sunitinib resistance on clear cell renal cell carcinoma therapeutic sensitivity in vitro 12 samples same disease briefing · shares clear, renal
- GSE216495 Nonclinical in-vitro evaluation of the transcriptomic and metabolic effects of immune checkpoint inhibitors on sunitinib-resistant renal cell carcinoma 36 samples same disease briefing · shares renal
- GSE174740 Drug repurposing identifies a synergistic high-order drug combination to treat sunitinib-resistant renal cell carcinoma 11 samples same disease briefing · shares renal
- GSE193006 Transcriptome RNA sequencing data of sarcomatoid renal cell carcinoma cell line SRCC and its subclones with different phenotypes. 5 samples same disease briefing · shares renal
- GSE19982 Gene expression discriminates chromophobe renal cell carcinoma and oncocytoma 30 samples same disease briefing · shares renal
- GSE17895 Somatic Mutation Screen of Clear Cell RCC 160 samples same disease briefing · shares clear
- GSE15641 Gene signatures of progression and metastasis in renal cell cancer 92 samples same disease briefing · shares renal
- GSE214635 The E3 ligase RBCK1 reduces the sensitivity of ccRCC to sunitinib through the ANKRD35-MITD1-ANXA1 axis 18 samples same disease briefing
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.