Differential RNA-seq analysis of MB135iDUX4 with siRNA mediated knockdown of KLF17 and KLF18
RNA-seq (gene expression) · human · 18 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
- 18 samples: 6 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
- KLF18 is a necessary component of the DUX4-initiated transcriptional network and a candidate locus for phenotypic diversityGenes & development · 2026
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 GSE316237_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 PRJNA1401840 and SRA study SRP661608. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9447707 MB135_iDUX4ca_siCTRL_noDOX_1 MB135_iDUX4ca_siCTRL_no…
- GSM9447708 MB135_iDUX4ca_siCTRL_noDOX_2 MB135_iDUX4ca_siCTRL_no…
- GSM9447709 MB135_iDUX4ca_siCTRL_noDOX_3 MB135_iDUX4ca_siCTRL_no…
- GSM9447710 MB135_iDUX4ca_siCTRL_20hDOX_1 MB135_iDUX4ca_siCTRL_20…
- GSM9447711 MB135_iDUX4ca_siCTRL_20hDOX_2 MB135_iDUX4ca_siCTRL_20…
- GSM9447712 MB135_iDUX4ca_siCTRL_20hDOX_3 MB135_iDUX4ca_siCTRL_20…
- GSM9447713 MB135_iDUX4ca_siKLF17_noDOX_1 MB135_iDUX4ca_siKLF17_n…
- GSM9447714 MB135_iDUX4ca_siKLF17_noDOX_2 MB135_iDUX4ca_siKLF17_n…
- GSM9447715 MB135_iDUX4ca_siKLF17_noDOX_3 MB135_iDUX4ca_siKLF17_n…
- GSM9447716 MB135_iDUX4ca_siKLF17_20hDOX_1 MB135_iDUX4ca_siKLF17_2…
- GSM9447717 MB135_iDUX4ca_siKLF17_20hDOX_2 MB135_iDUX4ca_siKLF17_2…
- GSM9447718 MB135_iDUX4ca_siKLF17_20hDOX_3 MB135_iDUX4ca_siKLF17_2…
- GSM9447719 MB135_iDUX4ca_siKLF18_noDOX_1 MB135_iDUX4ca_siKLF18_n…
- GSM9447720 MB135_iDUX4ca_siKLF18_noDOX_2 MB135_iDUX4ca_siKLF18_n…
- GSM9447721 MB135_iDUX4ca_siKLF18_noDOX_3 MB135_iDUX4ca_siKLF18_n…
- GSM9447722 MB135_iDUX4ca_siKLF18_20hDOX_1 MB135_iDUX4ca_siKLF18_2…
- GSM9447723 MB135_iDUX4ca_siKLF18_20hDOX_2 MB135_iDUX4ca_siKLF18_2…
- GSM9447724 MB135_iDUX4ca_siKLF18_20hDOX_3 MB135_iDUX4ca_siKLF18_2…
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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.