RNA sequencing analysis of A498 renal cancer cells following knockdown of ELOVL2 and ELOVL5
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: 3 × A498 control vs 3 × A498 ELOVL2 knockdown vs 3 × A498 ELOVL5 knockdown vs 3 × A498 ELOVL2 and ELOVL5 double knockdownGroups 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
- Co-overexpression of ELOVL2 and ELOVL5 promotes clear cell renal cell carcinoma progression through LIMK1-mediated cytoskeletal reorganizationScientific reports · 2026
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 GSE324459_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 PRJNA1435190 and SRA study SRP682639. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 9 samples read as cases, 3 as controls.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9577709 A498 control replicate 1 A498 control
- GSM9577710 A498 control replicate 2 A498 control
- GSM9577711 A498 control replicate 3 A498 control
- GSM9577712 A498 ELOVL2 knockdown replicate 1 A498 ELOVL2 knockdown
- GSM9577713 A498 ELOVL2 knockdown replicate 2 A498 ELOVL2 knockdown
- GSM9577714 A498 ELOVL2 knockdown replicate 3 A498 ELOVL2 knockdown
- GSM9577715 A498 ELOVL5 knockdown replicate 1 A498 ELOVL5 knockdown
- GSM9577716 A498 ELOVL5 knockdown replicate 2 A498 ELOVL5 knockdown
- GSM9577717 A498 ELOVL5 knockdown replicate 3 A498 ELOVL5 knockdown
- GSM9577718 A498 ELOVL2 and ELOVL5 double knockdown replicate 1 A498 ELOVL2 and ELOVL5 …
- GSM9577719 A498 ELOVL2 and ELOVL5 double knockdown replicate 2 A498 ELOVL2 and ELOVL5 …
- GSM9577720 A498 ELOVL2 and ELOVL5 double knockdown replicate 3 A498 ELOVL2 and ELOVL5 …
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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.