Setd2 overexpression rescues bivalent gene expression during SCNT-mediated ZGA by enhancing H3K36me3 at gene bodies and excluding H3K27me3 from promoters [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 79 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
- 79 samples: 79 samples, each with a distinct title — no replicated groupsGroups 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
- Setd2 overexpression rescues bivalent gene expression during SCNT-mediated ZGAProtein & cell · 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 GSE262390_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 PRJNA1091639 and SRA study SRP497795. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 79 sample titles: 79 distinct titles with little repetition. 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.
- GSM8164318 CC, replicate 1, Input
- GSM8164319 CC, replicate 2, Input
- GSM8164320 CC, H3K4me3, replicate 1, ChIP
- GSM8164321 CC, H3K4me3, replicate 2, ChIP
- GSM8164322 CC, H3K27me3, replicate 1, ChIP
- GSM8164323 CC, H3K27me3, replicate 2, ChIP
- GSM8164324 CC, H3K36me3, replicate 1, ChIP
- GSM8164325 CC, H3K36me3, replicate 2, ChIP
- GSM8164326 NT_6hpa, replicate 1, Input
- GSM8164327 NT_6hpa, replicate 2, Input
- GSM8164328 NT_6hpa, H3K4me3, replicate 1, ChIP
- GSM8164329 NT_6hpa, H3K4me3, replicate 2, ChIP
- GSM8164330 NT_6hpa, H3K27me3, replicate 1, ChIP
- GSM8164331 NT_6hpa, H3K27me3, replicate 2, ChIP
- GSM8164332 NT_14hpa, replicate 1, Input
- GSM8164333 NT_14hpa, replicate 2, Input
- GSM8164334 NT_14hpa, H3K4me3, replicate 1, ChIP
- GSM8164335 NT_14hpa, H3K4me3, replicate 2, ChIP
- GSM8164336 NT_14hpa, H3K27me3, replicate 1, ChIP
- GSM8164337 NT_14hpa, H3K27me3, replicate 2, ChIP
- GSM8164338 NT_2cell, replicate 1, Input
- GSM8164339 NT_2cell, replicate 2, Input
- GSM8164340 NT_2cell, H3K4me3, replicate 1, ChIP
- GSM8164341 NT_2cell, H3K4me3, replicate 2, ChIP
- GSM8164342 NT_2cell, H3K27me3, replicate 1, ChIP
- GSM8164343 NT_2cell, H3K27me3, replicate 2, ChIP
- GSM8164344 NT_2cell, H3K36me3, replicate 1, ChIP
- GSM8164345 NT_2cell, H3K36me3, replicate 2, ChIP
- GSM8164346 NT_4cell, replicate 1, Input
- GSM8164347 NT_4cell, replicate 2, Input
- GSM8164348 NT_4cell, H3K4me3, replicate 1, ChIP
- GSM8164349 NT_4cell, H3K4me3, replicate 2, ChIP
- GSM8164350 NT_4cell, H3K27me3, replicate 1, ChIP
- GSM8164351 NT_4cell, H3K27me3, replicate 2, ChIP
- GSM8164352 NT_8cell, replicate 1, Input
- GSM8164353 NT_8cell, replicate 2, Input
- GSM8164354 NT_8cell, H3K4me3, replicate 1, ChIP
- GSM8164355 NT_8cell, H3K4me3, replicate 2, ChIP
- GSM8164356 NT_8cell, H3K27me3, replicate 1, ChIP
- GSM8164357 NT_8cell, H3K27me3, replicate 2, ChIP
+ 39 more — browse all 79 samples with per-sample file links →
- GSE262040 Setd2 overexpression rescues bivalent gene expression during SCNT-mediated ZGA by enhancing H3K36me3 at gene bodies and excluding H3K27me3 from promoters 88 samples shares h3k36me3, h3k27me3, setd2, zga, overexpression, scnt-mediated, enhancing, excluding
- GSE262039 Setd2 overexpression rescues bivalent gene expression during SCNT-mediated ZGA by enhancing H3K36me3 at gene bodies and excluding H3K27me3 from promoters [RNA-seq] 9 samples shares h3k36me3, h3k27me3, setd2, zga, overexpression, scnt-mediated, enhancing, excluding
- GSE184043 H3K36me3 and H3K27me3 occupancy profiling by high throughput sequencing from setd2 wt and ko germinal center B cells and H3K27me3 occupancy profiling by high throughput sequencing from phf19 wt and ko germinal center B cells 9 samples shares h3k36me3, h3k27me3, setd2
- GSE176013 CUT&Tag analysis of H3K36me3 and H3K27me3, in Setd2-WT and -KO murine PDAC cell line 4 samples shares h3k36me3, h3k27me3, setd2
- GSE229903 CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub, H3K27me3 and H3K36me3 in KPC1199 murine PDAC cell line 10 samples shares h3k36me3, h3k27me3
- GSE255899 PDGF-BB overexpression in p53 null oligodendrocyte progenitors increases H3K27me3 and induces transcriptional changes which favor proliferation 9 samples shares h3k27me3, overexpression
- GSE267538 Nr5a2 is dispensable for ZGA but essential for morula development 537 samples shares zga
- GSE243566 Systematic perturbations of SETD2, NSD1, NSD2, NSD3 and ASH1L reveal their distinct contributions to H3K36 methylation 125 samples shares setd2
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.