Gain-of-function ENL YEATS domain mutations impede nephrogenesis through gene expression control
RNA-seq (gene expression) · mouse · 34 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
- Mus musculus (mouse)
- Samples
- 34 samples: 11 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
- Expression of ENL YEATS domain tumor mutations in nephrogenic or stromal lineage impairs kidney developmentNature communications · 2025
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 GSE283435_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 PRJNA1193642 and SRA study SRP504971. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 11 replicated groups read from 34 sample titles; they account for 32 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.
- GSM8243870 Foxd1_E185_T1_rep1 Foxd1_E185_T1
- GSM8243871 Foxd1_E185_T1_rep2 Foxd1_E185_T1
- GSM8243872 Foxd1_E185_T1_rep3 Foxd1_E185_T1
- GSM8243873 Foxd1_E185_WT_rep1 Foxd1_E185_WT
- GSM8243874 Foxd1_E185_WT_rep2 Foxd1_E185_WT
- GSM8243875 Foxd1_E185_WT_rep3 Foxd1_E185_WT
- GSM8243876 Six2_E185_T1_rep1 Six2_E185_T1
- GSM8243877 Six2_E185_T1_rep2 Six2_E185_T1
- GSM8243878 Six2_E185_T3_rep1 Six2_E185_T3
- GSM8243879 Six2_E185_T3_rep2 Six2_E185_T3
- GSM8243880 Six2_E185_WT_rep1 Six2_E185_WT
- GSM8243881 Six2_E185_WT_rep2 Six2_E185_WT
- GSM8243882 Six2_sort_E145_T1_rep1 Six2_sort_E145_T1
- GSM8243883 Six2_sort_E145_T1_rep2 Six2_sort_E145_T1
- GSM8243884 Six2_sort_E145_T1_rep3 Six2_sort_E145_T1
- GSM8243885 Six2_sort_E145_WT_rep1 Six2_sort_E145_WT
- GSM8243886 Six2_sort_E145_WT_rep2 Six2_sort_E145_WT
- GSM8243887 Six2_sort_E145_WT_rep3 Six2_sort_E145_WT
- GSM8243888 Six2_sort_E185_T1_rep1 Six2_sort_E185_T1
- GSM8243889 Six2_sort_E185_T1_rep2 Six2_sort_E185_T1
- GSM8243890 Six2_sort_E185_T1_rep3 Six2_sort_E185_T1
- GSM8243891 Six2_sort_E185_WT_rep1 Six2_sort_E185_WT
- GSM8243892 Six2_sort_E185_WT_rep2 Six2_sort_E185_WT
- GSM8243893 Six2_sort_E185_WT_rep3 Six2_sort_E185_WT
- GSM8662446 Six2_E185_T1_visiumHD
- GSM8662447 Foxd1_E185_T1_visiumHD
- GSM8761524 Foxd1_sort_E185_WT_rep1 Foxd1_sort_E185_WT
- GSM8761525 Foxd1_sort_E185_WT_rep2 Foxd1_sort_E185_WT
- GSM8761526 Foxd1_sort_E185_WT_rep3 Foxd1_sort_E185_WT
- GSM8761527 Foxd1_sort_E185_WT_rep4 Foxd1_sort_E185_WT
- GSM8761528 Foxd1_sort_E185_T1_rep1 Foxd1_sort_E185_T1
- GSM8761529 Foxd1_sort_E185_T1_rep2 Foxd1_sort_E185_T1
- GSM8761530 Foxd1_sort_E185_T1_rep3 Foxd1_sort_E185_T1
- GSM8761531 Foxd1_sort_E185_T1_rep4 Foxd1_sort_E185_T1
- GSE266256 Gain-of-function ENL YEATS domain mutations impede nephrogenesis through gene expression control [RNA-seq] 32 samples shares yeats, enl, gain-of-function, nephrogenesis, mutations, control, domain, impede
- GSE303306 The MLLT3 YEATS domain is a dual reader of histone marks (H3K9/18/27ac/cr) and ncRNA (7SK), linking epigenetic and RNA signaling to regulate hematopoiesis 12 samples shares yeats, domain
- GSE303246 The MLLT3 YEATS domain is a dual reader of histone marks (H3K9/18/27ac/cr) and ncRNA (7SK), linking epigenetic and RNA signaling to regulate hematopoiesis [RNA-Seq] 6 samples shares yeats, domain
- GSE295060 Gain-of-function PPM1D mutations attenuate ischemic stroke 2 samples shares gain-of-function, mutations
- GSE293108 SKIDA1 transiently sustains MLL::ENL-Expressing hematopoietic progenitors during neonatal stages and promotes B-lineage priming [scRNA-Seq] 3 samples shares enl
- GSE239470 Condensate-promoting ENL mutation induces tumorigenesis via chromatin remodeling 74 samples shares enl
- GSE239468 Condensate-promoting ENL mutation induces tumorigenesis via chromatin remodeling [ChIP-seq and CUT&Tag] 46 samples shares enl
- GSE291041 Heritable fetal protection against MLL::ENL-driven leukemogenesis depends on MLL3 43 samples shares enl
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.