Usp17l affects 2c gene transcription by regulating H2AK119ub
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 11 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 11 samples: 5 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
- USP17L promotes the 2-cell-like program through deubiquitination of H2AK119ub1 and ZSCAN4Nature 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 GSE224711_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA932257 and SRA study SRP421336. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 11 sample titles; they account for 10 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.
- GSM7030119 Control-H2AK119ub_1 Control-H2AK119ub
- GSM7030120 Control-H2AK119ub_2 Control-H2AK119ub
- GSM7030121 KD9-H2AK119ub_1 KD9-H2AK119ub
- GSM7030122 KD9-H2AK119ub_2 KD9-H2AK119ub
- GSM7030123 Control-H3K27me3
- GSM7030124 KD9-H3K27me3_1 KD9-H3K27me3
- GSM7030125 KD9-H3K27me3_2 KD9-H3K27me3
- GSM7030126 Zscan4+H3K27me3_1 Zscan4+H3K27me3
- GSM7030127 Zscan4+H3K27me3_2 Zscan4+H3K27me3
- GSM7030128 Zscan4-H3K27me3_1 Zscan4-H3K27me3
- GSM7030129 Zscan4-H3K27me3_2 Zscan4-H3K27me3
- GSE282421 USP17L promotes the 2-cell program through deubiquitination of H2AK119ub1 and ZSCAN4 [ChIP-Seq] 18 samples shares h2ak119ub, usp17l
- GSE326173 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [ChIP-seq] 42 samples shares transcription, regulating
- GSE292333 H2AK119ub1-MLL2 counteraction underlies heritable H3K27me3 formation in oocytes [CATCH-seq and CUT&RUN] 44 samples shares h2ak119ub
- GSE292237 H2AK119ub1-MLL2 counteraction underlies heritable H3K27me3 formation in oocytes 43 samples shares h2ak119ub
- GSE283958 Cohesin recruitment to promoters and enhancers by general transcription factors and chromatin regulators 47 samples shares transcription
- GSE339012 Mega-Enhancers Compartmentalize Transcriptionally Active Long Genes in the Brain [ChIP-Seq] 22 samples shares transcription
- GSE281685 Transcription factor occupancy is affected by genetic variation in the white adipose tissue of C57BL6/j and 129S1/SvImJ mice [ChIP-seq] 16 samples shares transcription
- GSE282802 KMT2D controls cerebellar granule cell differentiation by temporally activating neuronal transcriptional factor genes [CUT&RUN] 10 samples shares transcription
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.